Literature DB >> 31978057

Vegetation change over seven years in the largest protected Pacific Northwest Bunchgrass Prairie remnant.

Joshua P Averett1, Lesley R Morris1, Bridgett J Naylor2, Robert V Taylor3, Bryan A Endress1.   

Abstract

Temperate grasslands are one of the most altered ecosystems on Earth. Consequently, conservation of important characteristics of such ecosystems (e.g., biodiversity) is uncertain even within grasslands that have been protected. Invasion by non-native plants is considered a primary threat to intact grasslands. Here, we evaluated native and non-native vegetation composition change over seven years in the largest Pacific Northwest Bunchgrass remnant. We sampled 124 permanent plots across the Zumwalt Prairie Preserve (northeastern Oregon, USA) twice, seven years apart. With data collected from three grassland community types (xeric prairie, mesic prairie, old fields), we asked: (1) how has species composition changed over time; (2) which species showed the greatest changes in abundance; and (3) how did abundance of Ventenata dubia (the most abundant non-native species) relate to patterns of native and non-native plant abundance? Vegetation composition changed in all three plant communities. Ventenata dubia, an annual non-native grass: (1) became the third most dominant species across the study area; (2) was the only non-native that increased in abundance substantially in all three communities; and (3) was negatively related to native perennial forb cover. Relative cover of non-native species decreased in old fields concomitant with increases in native bunchgrass (Festuca idahoensis) and V. dubia cover. Increased cover of native perennial grasses and non-native annual grasses in old fields were associated with loss of bare ground, but not with reductions in non-native perennial grass cover. Native species dominated in the mesic prairie; however, non-native cover (particularly V. dubia) increased (mean cover increased from 3 to 10%) while mean native perennial forb cover decreased (from 30 to 25%) over time. Continued shifts towards non-native annual grass dominance coupled with potentially declining native perennial forbs, may challenge conservation efforts in one of the last large tracts of Pacific Northwest Bunchgrass Prairie.

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Year:  2020        PMID: 31978057      PMCID: PMC6980589          DOI: 10.1371/journal.pone.0227337

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Temperate grasslands are among the most threatened biomes on Earth and are the most altered ecosystems in North America [1]. Only about 1% of North America’s temperate grasslands are in a relatively natural state, and even those that remain have been subjected to significant anthropogenic stressors, e.g., widespread livestock grazing, intentional and accidental introduction of non-native species, and localized settlement/cultivation and subsequent abandonment [1-2]. Because of widespread alteration to temperate grasslands in North America, the ability of these systems to maintain the ecological services, such as biodiversity, that they have historically provided is uncertain [1,3]. Invasion by non-native plant species has been identified as one of the most serious threats to ecosystem function and native biodiversity in remaining temperate grassland areas [4]. Non-native plant invasions have altered grassland structure, reduced floral and faunal diversity, altered disturbance regimes, and, in some circumstances have resulted in complete shifts in species composition and ecosystem function [5-6]. Although plant invasions, to date, have not resulted in species extinctions [7], they may ultimately lead to the loss of species over time [8]. Identification of invading non-natives plants and the dynamics of their spread including associations with native vegetation can provide critical information for the prioritization of conservation, research and monitoring efforts, evaluation of the potential to control and/or adapt to invasions, and understanding the potential impacts of invasion on native communities. The Zumwalt Prairie Preserve (hereafter ZPP), the focus of this study, encompasses around 13,350 ha in northeastern Oregon, USA, and is located within the largest remaining intact Pacific Northwest Bunchgrass Prairie (the larger Zumwalt Prairie, ~ 65,000 ha). The Pacific Northwest Bunchgrass Prairie (hereafter PNB), once occupied ~ 8 million ha of Oregon, Washington, Idaho and portions of Western Canada [9-11]. It is also one of the least described and least studied of the major vegetation types in North America despite the endangered status for portions of the PNB [9,12]. Consequently, the ZPP was purchased by The Nature Conservancy (hereafter TNC) in two land acquisitions (~ 11,000 ha in 2000 and ~ 2,400 ha in 2006) and is managed to support the conservation of habitat for native species including the largest known population of the threatened Spalding’s catchfly (Silene spaldingii; [13]) as well as diverse native forb (~64% of vascular plant species [14, 15]) and bee (more than 200 species in 27 genera [15]) communities. Though protected, the ZPP is subject to anthropogenic stressors that are considered threats to conservation of native temperate grasslands (e.g., legacy effects of past cultivation, livestock grazing, invasion by non-native plants; [1,4]). Past research has evaluated the effects of cattle (Bos taurus) grazing on vegetation structure, and bird and bee habitat requirements [15-16], the potential to restore old fields that had been abandoned following cultivation [17-18], and impacts of non-native plants on passerine birds [19]. Invasion by non-native plant species, although a recognized threat to the PNB, has been studied less than other disturbances on the PNB. Two studies have documented an increase in Ventenata dubia in PNB canyon grasslands since the 1980s and dominance by the invasive annual grass in soil seed banks of old fields [20-21]. A previous evaluation (2008 and 2009) of non-native plant distributions conducted within the upland prairie portion (~ 5,100 ha)–excluding canyons–of the ZPP revealed that non-native grass species were widespread and among the most dominant vascular plant species across the ZPP by 2008 [22]. The most abundant non-native species were V. dubia, Poa pratensis and annual Bromus species (Bromus spp; comprised of Bromus arvensis and Bromus hordeaceous) which had the fourth, fifth, and seventh highest total foliar cover respectively of all species across the study area [22]. Endress et al. ([22]) described three broad plant communities within ZPP where non-native composition varied substantially. The communities identified (xeric prairie, mesic prairie, old fields) aligned well with other bunchgrass plant associations developed for the region that co-vary primarily with gradients in soil depth and water availability [9,23-24]. Non-native annual grasses (Bromus spp. and V. dubia) were most abundant in the xeric prairie (highest heat load and greatest soil moisture deficit) associated with increased dominance of the native bunchgrasses Poa secunda, Pseudoroegneria spicata and Danthonia unispicata, and were least abundant in the wettest/deepest soil sites (mesic prairie, and old field communities; [22]). This pattern of apparently low invasion resistance of the more xeric sites to non-native annual grass invasion was consistent with previous observations [23-24] in the region. Non-native perennial grasses (e.g., P. pratensis and Thinopyrum intermedium) were dominant in or near sites that had been previously cultivated (e.g., old fields). The detection of less invaded mesic communities coexisting alongside annual grass invaded xeric prairie and non-native perennial grass dominated old fields may suggest that never-plowed mesic prairie communities are more resistant to invasion or, alternatively, that invasion by non-native grasses from either the drier or wetter communities is inevitable [22]. The differences in non-native plant composition and abundance across community types in the ZPP suggest that some communities may be more susceptible to invasion and alteration of species composition over time, while other communities may be more resistant to change. There are currently no studies that address vegetation change at a large scale over time in this system. Our objectives were to analyze vegetation composition change over seven years across the ZPP. For this, we resampled (in 2015 and 2016 –seven years later) permanent plots that were established and initially sampled in 2008 and 2009 within the three community types described by Endress et al. ([22]). We addressed the following questions: (1) how did species composition change over time in the three plant communities; (2) which species showed the greatest changes in abundance; and (3) how did abundance of V. dubia (most abundant non-native species) relate to the abundance of native perennial forbs, native perennial grasses, non-native perennial grasses, and other non-native annual grasses?

Methods

Field sampling took place on private lands within the ZPP. Permission for sampling was granted by and in collaboration with the landowner, The Nature Conservancy. Field sampling for this study was non-destructive, and did not harm endangered or protected species.

Study site

The ZPP is located in northeastern Oregon (45.577745 N 116.971754 W). Elevations range from 1060 to 1680 m. Precipitation averages ~490 mm annually, mostly occurring in winter and spring, with a pronounced summer drought. Average daily temperatures range from -3 °C in winter to 16 °C during the summer [10,17]. Seasonal cattle grazing has been the dominant land use on the ZPP for at least five decades [10]. At the turn of the 20th Century, the entire PNB including the ZPP was homesteaded and used for cultivation and then largely abandoned and consolidated into larger parcels under private ownership [10]. Prescribed fire and targeted herbicide spraying (spot spraying of individual plants) for control of some non-native perennial forb species (e.g., localized populations of Hieracium caespitosum, Potentilla recta, Onopordum acanthium) are other important land management practices. Endress et al. ([22]) used cluster analysis and non-metric multidimensional scaling to describe three plant communities in the ZPP as well as to relate patterns of native and non-native species abundance across those communities to each other and important abiotic/environmental correlates. This study used the same community classification developed by Endress et al. ([22]): (1) the “xeric prairie” community consisted of the most water limited sites (highest heat load and greatest soil moisture deficits) and was dominated by V. dubia, Poa secunda, Pseudoroegneria spicata and Danthonia unispicata. This community aligned well with both the Poa secunda/Danthonia unispicata (i.e., shallow soil “scablands”) and Pseudoroegneria spicata/Poa secunda plant association series described by Johnson and Simon (1987 [23]) and Johnson and Swanson (2005 [24]); (2) The “mesic prairie” community was dominated by Festuca idahoensis, Koeleria macrantha, Pseudoroegneria spicata, and numerous perennial forbs including Geum triflorum and Arnica sororia. This community also had the least non-native cover in 2008/2009, and aligned mostly with the Festuca idahoensis/Koeleria macrantha and Festuca Idahoensis/Pseudoroegneria spicata plant association series in the region [23-24]; and (3) the “old field” community consisted of flat or gently sloping sites with deep soils dominated by non-native perennial forage grasses including Poa pratensis and Thinopyrum intermedium. This community was strongly associated with past cultivation, i.e. old fields and did not align well with previous native plant community descriptions developed in the region; however, the most abundant native species (Festuca idahoensis, Pontentilla gracilis, Geum triflorum) in the old fields were also among those dominant in the mesic prairie. Non-native grass species are also among the most abundant and widespread species at the ZPP, but generally have not been used to define community variation, e.g., plant association classification (but see [20, 22]). In 2008/2009, non-native annual grasses (Ventenata dubia and Bromus spp.) were strongly associated with the most water-limited sites. Both of these annual grasses were widespread across the xeric and mesic prairie; however Ventenata dubia cover declined abruptly in the more mesic sites particularly within the old fields [22]. Bromus spp. were more uniformly distributed across the xeric and mesic prairie sites compared to Ventenata dubia, but were similarly sparse in old fields [22]. Non-native perennial grasses including Poa pratensis and Thinopyrum intermedium dominated in relatively flat, mesic sites that were associated with old fields established long before the establishment of the preserve [22].

Field data

In order to evaluate vegetation change over the seven years, vascular plant composition of the most dominant species (based on foliar cover observed in 2008/2009; [22]) were re-sampled within 124 permanent plots (1 ha/each) across the prairie habitat (excluding canyonlands) of the ZPP. For the repeated sample, we focused on the most common species for our analyses (Table 1) in order to reduce observer error associated with measuring rare species, and to increase the number of plots that could be sampled. Further support for our decision to focus on the dominant species was provided by ordination analyses which showed that inclusion of more species did not substantially change ordination structure or findings from the initial (2008/2009) survey. Pilot sampling and review of TNC vegetation monitoring data [17] occurred prior to the resampling effort to ensure that the 31 dominant species selected from the initial sampling effort were still the most abundant species in our study area and that other species had not increased enough to warrant inclusion. Any other vascular plant species encountered during sampling were recorded into functional groups (native perennial grass (NPG), native perennial forb (NPF), native annual grass (NAG), native annual forb (NAF), native sedge/rush, non-native perennial grass (NNPG), non-native perennial forb (NNPF), non-native annual grass (NNAG), non-native annual forb (NNAF)). Vegetation sampling took place during two different time periods, seven years apart: (1) summers of 2008 and 2009; and (2) summers of 2015 and 2016. Plot sampling within each time period was staggered one year so that the plots that were sampled in 2008 were resampled in 2015 and plots that were sampled in 2009 were measured in 2016 resulting in a seven year time gap between resamples for each plot.
Table 1

Species abundance summaries for dominant vascular plants occurring in the Zumwalt Prairie Preserve study area ordered top to bottom by rank abundance (% cover) from initial time period (T1, 2008/2009).

Log abundance (Log Abund) was calculated as the log (base 10) of the total summed abundance for a particular species in all plots. T2 is the second time period (2015/2016). Non-native species are listed in bold text.

SpeciesRank AbundLog AbundRank FreqFreqMean Cover (%)
T1T2T1T2T1T2T1T2T1T2
Festuca idahoensis113.473.491112212324.024.8
Psuedoroegneria spicata223.303.304410710716.316.1
Poa secunda343.003.05221161128.19.1
Ventenata dubia432.973.27113841087.614.9
Poa pratensis562.872.85121375726.05.8
Geum triflorum652.862.9510987915.97.2
Bromus spp.772.792.678895935.03.8
Arnica sororia892.712.5857104934.13.1
Thinopyrum intermedium982.642.64231828413.53.5
Lupinus spp.10112.642.4936108943.52.5
Potentilla gracilis11132.582.4091291793.12.0
Achillea millefolium12102.562.5265101992.92.7
Koeleria macrantha13142.402.3871098852.01.9
Bromus carinatus14122.262.42181447641.52.1
Danthonia unispicata15162.182.34141652481.21.7
Danthonia intermedia16222.152.02192446301.10.8
Phleum pratense17192.102.15272622221.01.2
Poa compressa18232.031.88242226350.90.6
Achnatherum occidentale19172.002.29252525230.81.6
Veronica arvensis20151.992.36171147810.81.8
Eriogonum spp.21201.972.11131554520.71.0
Balsamorhiza incana22251.951.74202042360.70.4
Bromus inermis23241.941.79282810120.70.5
Geranium viscosissimum24271.881.64222732180.60.4
Phlox spp.25261.881.68152150350.60.4
Bromus tectorum26181.862.24261724460.61.4
Hieracium cynoglossoides27291.791.59162348310.50.3
Poa bulbosa28301.731.083131340.40.1
Epilobium brachycarpum29281.591.62211941400.30.3
Festuca rubra30211.552.053030570.30.9
Solidago canadensis31311.000.9029298100.10.1

Species abundance summaries for dominant vascular plants occurring in the Zumwalt Prairie Preserve study area ordered top to bottom by rank abundance (% cover) from initial time period (T1, 2008/2009).

Log abundance (Log Abund) was calculated as the log (base 10) of the total summed abundance for a particular species in all plots. T2 is the second time period (2015/2016). Non-native species are listed in bold text. Cattle were grazed at a stocking rate of 4.7 acres per AUM TNC, personal communication, Preserve manager) over most of the study area (95% of plots) for the duration of our study. This stocking rate is consistent with grazing management in the larger Zumwalt Prairie and historical grazing (at least over the last five decades) on the ZPP [10]. Twelve plots (~ 10%) were exposed to some level of management/restoration activities (e.g., prescribed fire at least two years prior to sampling, n = 5; recent or temporary exclusion of cattle grazing, n = 6, herbicide and seeding, n = 1) over the duration of our study [25]. The small sample size of plots with any specific management treatment did not allow for the effects of such treatments to be evaluated in this study. Analyses revealed that comparisons between datasets with deletion and inclusion of the 12 plots subjected to management/restoration treatments did not substantially alter our results. Specifically, no trends or significance of comparisons/relationships were altered due to the inclusion or deletion of these plots. Therefore, we included all of the plots in our analyses to capture more variation across the prairie habitat of the ZPP. Within each plot, three line-point intercept transects (length = 50 m) were established in a spoke design, radiating out from the center of the plot at 0°, 120°, and 240° relative to magnetic North [22,26]. We observed species intercepts with transects at 1 m increments along transects for a total of 150 points sampled (50 per transect) per plot. Because multiple species are often encountered within different canopy layers at the same point, total cover can be > 100%. We calculated foliar cover for each species in a plot as the total number of hits for that species divided by 150 points multiplied by 100. Species frequency for a particular species was the total count of plots occupied by that species (maximum frequency possible = 124). At each sample point, we recorded presence of litter and soil surface characteristics (rock, biotic crust, bare ground) to allow for calculations of cover for each metric. Plot cover of bare ground was calculated as the percentage of hits (out of 150) for bare ground in that plot where no other plant species or soil cover (litter, rock, moss/lichen) were encountered. Sampling occurred within three plant community types (xeric prairie, n = 31; mesic prairie, n = 77; old fields, n = 16; [22]).

Data analysis

Vegetation change over time

Paired t-tests were used to test the null hypothesis of no-change between non-native relative cover (proportional cover of non-native species relative to total plant cover expressed as a percentage) between sampling periods (plots were the sample units) for our entire study area and for each community type separately. Foliar cover change for functional groups (NPG, NPF, NNPG, NNAG) was calculated and compared to the null hypothesis of no change over time. Evidence of change in foliar cover was evaluated for all plots together and then separately for each community type. Bootstrapping was used (10,000 replicates) to generate 90 and 95% confidence intervals (basic bootstrap interval; [27]) for the mean change (mean of the paired differences; plots were sample units) in foliar cover between sample periods [28-29]. Strong evidence of change in foliar cover was indicated when 95% CIs did not cross zero; weak evidence for change was indicated when 90% CIs did not cross zero. Blocked Multi Response Permutation Procedure (MRBP; [30-31]) was used to test the null hypothesis of no change in vascular plant species composition between time periods. MRBP is a nonparametric method for testing of no difference between two or more groups after accounting for block differences and provides an effect size chance-corrected within group agreement (A-statistic) that indicates within group homogeneity compared to random expectation [32]. An A-statistic value = 1.0 indicates that all components of a group are identical, while A = 0 means within group homogeneity equals random expectation [32]. We used a Euclidean distance measure and aligned the medians to zero for all blocks (plots were the blocking factor). We performed separate tests for each community type. Non-metric multidimensional (NMS; [31]) scaling using a Sorensen distance measure was used to extract the dominant community composition gradients from our dataset. We used the “slow and thorough” NMS autopilot setting and Kruskal’s strategy 1 for penalization of ties in the distance matrix. A Sorensen distance measure was used to focus on relative differences in species abundances between sample units. Two dimensional ordinations were produced with a random starting configuration and a maximum of 500 iterations. We evaluated linear relationships between community composition variation and functional group abundance using a joint plot and identified community types on the ordination using convex hulls. The community types were defined by the 2008/2009 dataset (see [22] for methods). Temporal vectors that connect each plot between time periods were overlain onto the ordination and translated to the origin. This resulted in the tail of the vector (plot at the initial time of sampling) being located at the origin and the strength and direction of composition change for a plot being represented by the length and direction of the resulting vector respectively [32].

Species that changed the most in each community

Indicator species analysis (ISA) was performed for each of the three community types separately to identify time period tendencies for species, i.e., to identify the species most responsible for driving compositional change between sampling periods [32-33]. ISA produces indicator values (IV) based on relative frequency (proportion of sample units from each group occupied) and abundance (proportional abundance for a particular species in a group relative to abundance in all groups) information that represent the strength of tendencies for species to occur within a priori groups [32]. Therefore, a species with a significant IV for time period one indicated higher abundance for that species during time period one (2008 & 2009) compared to time period two (2015 & 2016). Higher IV values indicate stronger affinity to a particular group (time period in this case). Zero means a species is not an indicator; and 100 represents perfect indication, i.e., the species is always and only observed in that particular group [32]. Significance of IV’s were determined by comparing observed values to results from 10,000 randomizations [31-32]. Changes in relative abundance and relative frequency over time were evaluated for identified indicator species. Additional 2-dimensional NMS ordinations were generated for the old field and mesic prairie communities (separately) to evaluate linear relationships between functional group change over time and community variation.

Ventenata dubia relationships with native/non-native plant abundance

Quantile regression was used to explore relationships between the foliar cover of the most abundant non-native species on ZPP, V. dubia, and the foliar cover of: (1) native perennials (forbs and grasses combined); (2) native perennial forbs; (3) native perennial grasses; (4) non-native perennial grasses; and (5) other non-native annual grasses separately [28,34]. Quantile regression is a method for estimating relationships between variables for all portions of the probability distribution, is non-parametric, and unlike ordinary least squares regression, does not require homogeneity of variance–an assumption not met in our dataset [35]. We evaluated relationships between the response and predictor variables for the 0.5 and 0.9 quantiles. This allowed us to evaluate functional relationships between variables at the median of the response distribution as well as near the maximum of the response distribution. We evaluated the 0.9 quantile because when there are many unmeasured factors that are potentially limiting, a common occurrence in natural systems, quantiles near the maximum response often provide more meaningful information regarding relationships between variables [35].

Results

Vegetation change over time

Non-native relative cover increased across our study area from 27 to 30% over time (two sample paired t-test, two-tailed, t = 2.6, p-value = 0.01; Table 2). This change was primarily focused within the mesic prairie, where non-native relative cover increased from 16 to 22% (paired t = 4.6, p < 0.001; Table 2). There was weak evidence for a decrease (from 68 to 61%; paired t = -1.5, p < 0.14) in non-native relative cover in the old field community, and no evidence of change in the xeric prairie (paired t = 0.45, p = 0.66; Table 2). The two most dominant species in terms of cover (F. idahoensis and P. spicata) and frequency (F. idahoensis and P. secunda) were consistent over time. Other natives including Lupinus spp. (particularly in terms of frequency) and Danthonia intermedia (cover and frequency) showed decreased dominance over time (Table 1). Cover and frequency of V. dubia increased substantially across our study area; V. dubia moved up a rank from fourth to third when evaluated based on cover (mean cover almost doubled over time from 7.6 to 14.9%, Table 1) and from eleventh to third for frequency, making it the third most abundant species in terms of cover and frequency in our study area (Table 1). Rank abundances for annual Bromus spp. and P. pratensis–the second and third most abundant non-natives- were relatively consistent over time. T. intermedium (frequency increased by 10%), and the annual forb Veronica arvensis (mean cover more than doubled from 0.8 to 1.8% and frequency increased by 27%) were two other non-native species that showed signs of increased dominance; however their mean cover and frequency were much lower than V. dubia (Table 1; [25]).
Table 2

Non-native relative cover including difference (Time period 2—Time period 1) and 95% confidence intervals for all plots combined (all) and each vegetation group defined from cluster analysis of species composition for time period 1(2008/2009).

Vegetation GroupNon-native Relative Cover (%)Difference (CIs)
2008/20092015/2016
All27.1030.233.13 (0.72, 5.73)
Old Fields68.0860.98-7.09 (-15.51, 2.98)
Mesic Prairie16.2322.336.11 (3.40, 8.46)
Xeric Prairie32.9833.981.00 (-3.17, 5.70)
Non-native annual grass cover increased from 13 to 20%, and native perennial forb cover decreased from 23 to 20% over time (Fig 1). There was weak evidence that native perennial grass cover increased from 55 to 58% (change = 3.1% 90% CI = 0.6, 6.0) since the initial sampling effort (Fig 1). Increases in non-native annual grass mean cover appeared to be focused primarily in the old field (increased from 4 to 16%) and mesic prairie communities (increased from 8 to 16%; Fig 1). Mean native perennial forb cover decreased (from 30 to 25%) in the mesic prairie (Fig 1). Mean native perennial grass cover increased substantially (from 12 to 27%) in old fields (Fig 1), and was consistent with an increase in total vascular plant cover (11.6%, 95% CI = 2.4, 20.7). There was no evidence for change in cover for any functional group within the xeric prairie (Fig 1). We also calculated the total change in native perennial forb cover (not limited to the dominant species) to make sure that trends in dominant forbs tracked the entire community. Consistent with the dominant forbs, all native perennial forbs decreased by 5% (95% CI = -7.6, -2.9) in our sample area, and the greatest decrease for all native perennial forb foliar cover (-6.6, 95% CI = -9.9, -3.2) was observed in the mesic prairie.
Fig 1

Foliar cover change (paired differences) between 2008/2009 and 2015/2016 for dominant vegetation functional groups (NPG, native perennial grass; NPF, native perennial forb; NNPG, non-native perennial grass; NNAG, non-native annual grasses) in the Zumwalt Prairie Preserve.

Points are means, error bars contain 95% confidence intervals (bootstrap, 10,000 replicates, percentile method) around the paired difference in the means between the two time periods, and vertical lines indicate zero change.

Foliar cover change (paired differences) between 2008/2009 and 2015/2016 for dominant vegetation functional groups (NPG, native perennial grass; NPF, native perennial forb; NNPG, non-native perennial grass; NNAG, non-native annual grasses) in the Zumwalt Prairie Preserve.

Points are means, error bars contain 95% confidence intervals (bootstrap, 10,000 replicates, percentile method) around the paired difference in the means between the two time periods, and vertical lines indicate zero change. Vegetation composition changed over time in all three plant communities (p < 0.001; Table 3). The greatest changes were detected in old fields (A = 0.07) followed by the mesic prairie (A = 0.05), and lastly by the xeric prairie (A = 0.03; Table 3). Temporal vectors extracted from the NMS ordination indicated that most old field plots shifted to lower Axis 1 (explaining 64% of variation in the distance matrix) scores over time which was associated with lower composition of non-native perennial grass species (Fig 2). The mesic prairie plots tended to shift down along Axis 2 (explaining 23% of variation in the distance matrix), consistent with increasing non-native relative abundance, and no clear direction of change was observed for the temporal vectors generated from xeric prairie plots (Fig 2).
Table 3

MRBP comparing vascular plant composition (plots = blocks), between two time periods (2008/2009 and 2015/2016) seven years apart (time period = groups).

Vegetation Group 1 –Old Fields
δ Under null hypothesis
Distance MeasureObserved δExpected δVarianceSkewnessTAP
Sorensen1.481.600.36 e-03-1.04-6.260.07≪0.001
Vegetation Group 2 –Mesic Prairie
δ Under null hypothesis
Distance MeasureObserved δExpected δVarianceSkewnessTAP
Sorensen1.251.320.82 e-05-1.02-24.40.05≪0.001
Vegetation Group 3 –Xeric Prairie
δ Under null hypothesis
Distance MeasureObserved δExpected δVarianceSkewnessTAP
Sorensen1.141.180.46 e-04-0.88-5.550.03≪0.001
Fig 2

NMS ordination of plots in species space.

(Top panel) Joint plot with vectors showing direction and magnitude (length) of linear correlations between functional group abundance (% cover) and the ordination space. Convex hulls show the three community types (red solid line, old field community; blue hashed line, mesic prairie community; black solid line, xeric prairie community). (Bottom panels) Temporal vectors showing direction and magnitude of change in ordination space for each plot within three grassland communities. Axis one and two explained 64 and 23% of variation in the distance matrix respectively.

NMS ordination of plots in species space.

(Top panel) Joint plot with vectors showing direction and magnitude (length) of linear correlations between functional group abundance (% cover) and the ordination space. Convex hulls show the three community types (red solid line, old field community; blue hashed line, mesic prairie community; black solid line, xeric prairie community). (Bottom panels) Temporal vectors showing direction and magnitude of change in ordination space for each plot within three grassland communities. Axis one and two explained 64 and 23% of variation in the distance matrix respectively.

Species that changed the most in each community

Ventenata dubia was among the strongest indicator species for the most recent sampling effort in all community types, and the only non-native that increased abundance across our entire study area, particularly within the mesic prairie and old field communities (Table 4). Dominant species compositional changes in the old fields included decreased abundances of two non-native perennial grasses (Poa compressa and P. pratensis) and native perennial forb species (Achillea millifolium, Lupinus spp.) and increased abundances of F. idahoensis, V. dubia (rank abundance in old fields changed from 19th to 4th over time; [25]), and Geum triflorum (Table 4). Decreases in bare ground cover were correlated with increases in cover of F. idahoensis (r = -0.12), V. dubia (r = -0.41) and G. triflorum (r = -0.32). Within the old field community, V. dubia, native perennial grass, and native perennial forb increases tended to occur in the same area of ordination space, and were negatively associated with non-native perennial grass cover in old fields (Fig 3).
Table 4

Indicator species analysis results showing changes in relative cover and frequency (based on proportional abundance of a particular species in a given group relative to that species in all groups; groups being time periods), group assignment and indicator values (IV) for species with the strongest IVs and associated time period tendency for each community.

Time period 1 was 2008 & 2009; time period 2 was 20015 & 2016. Tendency towards time period 1 indicates decreased abundance over time, and tendency towards time period 2 indicates increased abundance over time.

SpeciesRel.Cover δ (%)Rel.Freq δ (%)Time period TendencyIVp-value
Group 1: Old Fields
Poa compressa-58-431630.005
Achillea millifolium-26-18149.90.148
Poa pratensis-18-7149.90.125
Lupinus spp.-32-13139.40.127
Geum triflorum+40+12251.70.124
Ventenata dubia+70+25257.60.020
Festuca idahoensis+46+6262.70.001
Group 2: Mesic Prairie
Lupinus spp.-26-13159.90.0004
Festuca idahoensis-4-1151.20.119
Pseudoroegneria spicata-2-7151.10.142
Poa secunda0-6149.70.170
Arnica sorriea-16-3148.80.186
Potentilla gracilis-22-111480.003
Koeleria macrantha-12-8147.90.151
Hieracium cynoglossoides-36-22135.50.001
Danthonia intermedium-28-11122.90.065
Geranium viscossisimum-32-12122.20.023
Balsomhorriza incana-24-9122.10.113
Phlox spp.-24-7122.10.119
Poa compressa+32+12217.10.083
Thinopyrum intermedium+38+16224.00.014
Veronica peregrina+52+38251.70.0002
Ventenata dubia+60+26261.00.0002
Group 3: Xeric Prairie
Bromus annual spp.-40-23163.70.0002
Arnica sorriea-30-25150.50.014
Koeleria macrantha-26-26147.10.062
Phlox spp.-36-26145.50.038
Potentilla gracilis-24-10131.60.118
Danthonia intermedium-46-22126.10.098
Bromus carinatus+62+29233.80.013
Poa compressa+66+23224.30.039
Ventenata dubia+100252.50.188
Fig 3

NMS ordinations of the old field and mesic prairie communities using abundance data from 2015/2016.

The direction and length of the vectors indicate direction and strength of linear correlations between variables and the ordination space. NPG (native perennial grass); NNPG (non-native perennial grass); NPF (native perennial forb); NNAG (non-native annual grass); VEDU (Ventenata dubia). “Del” signifies difference between time periods, and a “2” indicates the second time period, e.g., NNPG is the cover of non-native perennial grasses for the 1st time period (2008/2009) and NNPG 2 is cover for non-native perennial grasses for the 2nd time period (2015/2016).

Indicator species analysis results showing changes in relative cover and frequency (based on proportional abundance of a particular species in a given group relative to that species in all groups; groups being time periods), group assignment and indicator values (IV) for species with the strongest IVs and associated time period tendency for each community.

Time period 1 was 2008 & 2009; time period 2 was 20015 & 2016. Tendency towards time period 1 indicates decreased abundance over time, and tendency towards time period 2 indicates increased abundance over time.

NMS ordinations of the old field and mesic prairie communities using abundance data from 2015/2016.

The direction and length of the vectors indicate direction and strength of linear correlations between variables and the ordination space. NPG (native perennial grass); NNPG (non-native perennial grass); NPF (native perennial forb); NNAG (non-native annual grass); VEDU (Ventenata dubia). “Del” signifies difference between time periods, and a “2” indicates the second time period, e.g., NNPG is the cover of non-native perennial grasses for the 1st time period (2008/2009) and NNPG 2 is cover for non-native perennial grasses for the 2nd time period (2015/2016). Dominant species compositional changes in the mesic prairie included substantial increases in non-native species abundance (V. dubia, V. arvensis, T. intermedium) and decreased native perennial forb (Lupinus spp., A. sororia, Potentilla gracilis, Hieracium cynoglossoides, Geranium viscosissimum) cover and subtle declines in native bunchgrass (F. idahoensis, P. spicata) abundance (Table 4). Ventenata dubia dominance increased substantially (rank abundance in the mesic prairie changed from 11th to 3rd over time; [25]). Native perennial forbs showed a slight tendency to decrease in plots with higher initial non-native annual grass cover as well as where non-native annual grass cover increased over time (Fig 3). Notable changes in species abundance within the xeric prairie included increased abundances of two non-native grass species (V. dubia, P. compressa). Other species that showed significant changes in abundance in the xeric prairie were those that tended to be associated with the more mesic communities and were sparse in the xeric prairie community [25], i.e., increased abundance of one native perennial grass (Bromus carinatus), and decreased abundances of native perennial forb (A. sororia, Phlox spp., P. gracilis) and grass species (K. macrantha, D. intermedium; Table 4).

Relationship between V. dubia and native perennial cover

Ventenata dubia cover was negatively related to native perennial cover and native perennial forb cover for both sampling periods (Fig 4 & Table 5). The greatest negative slopes were detected for the 0.9 quantile followed by the 0.5 quantile (Fig 4 & Table 5). The slopes for responses in both quantiles decreased over time particularly in the 0.9 quantile (Fig 4 & Table 5). Relationships between V. dubia cover and native perennial grass cover were inconsistent between years and across quantiles. V. dubia cover was negatively related to native perennial grass cover for the 0.9 quantile during the first sampling period but not the 0.5 quantile and for the 0.5 quantile during the second sampling period, but not the 0.9 quantile (Table 5). Because vegetation trends in the old field community were much different than those in the uncultivated prairie, analyses were also performed for the uncultivated prairie alone; however, this did not change our findings or interpretation of the data. Inconsistent relationships between V. dubia and native perennial grasses over time and quantiles suggest complex interactions between these two variables and may be related to factors such as lag time effects between species interactions, variation in native species responses, differential responses by community type, or may reflect a weak relationship between these variables that cannot be distinguished from noise in the data. V. dubia was negatively related to non-native perennial grass cover during both sampling periods. The greatest negative slope (coefficient = -1.3, 95% CI = -1.4, -1.1) was observed for the 0.9 quantile during the first sampling period. Slopes for both quantiles decreased substantially and were similar for the second sampling period where it was estimated that a one percent increase in V. dubia cover corresponded to ~ 0.1% decrease in non-native perennial grass cover for the 0.5 and 0.9 quantiles (Table 5). V. dubia was positively related to cover of other non-native annual grasses for the 0.5 quantiles during both sampling periods. It was estimated that a 1% increase in V. dubia cover corresponded to approximately a 0.1% increase in the median cover of other non-native annual grasses (Table 5).
Fig 4

Scatter plots of Ventenata dubia foliar cover against native perennial grass and forb foliar cover (left panel) and native perennial forb foliar cover (right panel).

White points and grey lines indicate data and regression fits from the 2008/2009 sampling period, and black points and black lines show data from the 2015/2016 sampling period. Solid lines are regression lines for the 0.5 quantile and dashed lines are regression lines for the 0.9 quantile.

Table 5

Quantile regression summary output including response and predictor variables, time, i.e., Time period (1 indicates the 2008/2009 time period; 2 indicates the 2015/2016 time period), slope coefficient and lower and upper bounds of the 95% confidence intervals.

Significant (alpha = 0.05) slope coefficients are indicated in bold.

ResponsePredictorTimeQuantileSlope CoeffLower bdUpper bd
Native perennial coverV. dubia cover10.5-0.8-1.21-0.59
10.9-1.34-1.92-0.59
20.5-0.67-0.79-0.29
20.9-0.71-0.86-0.47
Native perennial forb coverV. dubia cover10.5-0.61-0.67-0.52
10.9-1.26-1.35-0.99
20.5-0.22-0.5-0.14
20.9-0.39-0.44-0.25
Native perennial grass coverV. dubia cover10.50.15-0.290.63
10.9-0.38-0.63-0.05
20.5-0.14-0.37-0.12
20.9-0.25-0.480.26
Other Non-native annual grass coverV. dubia cover10.50.080.040.14
10.90.18-0.010.70
20.50.090.010.12
20.90.04-0.030.56
Non-native perennial grass coverV. dubia cover10.5-0.18-0.30-0.11
10.9-1.25-1.44-1.05
20.5-0.09-0.18-0.05
20.9-0.05-0.72-0.01

Quantile regression summary output including response and predictor variables, time, i.e., Time period (1 indicates the 2008/2009 time period; 2 indicates the 2015/2016 time period), slope coefficient and lower and upper bounds of the 95% confidence intervals.

Significant (alpha = 0.05) slope coefficients are indicated in bold.

Scatter plots of Ventenata dubia foliar cover against native perennial grass and forb foliar cover (left panel) and native perennial forb foliar cover (right panel).

White points and grey lines indicate data and regression fits from the 2008/2009 sampling period, and black points and black lines show data from the 2015/2016 sampling period. Solid lines are regression lines for the 0.5 quantile and dashed lines are regression lines for the 0.9 quantile.

Discussion

Our study revealed three major findings. First, we found evidence of increased relative cover (~ 7%) of native vegetation in old fields, mostly due to increased F. idahoensis (increased from an average of 5 to 16%) and G. triflorum abundance (increased from 3 to 7%; [25]). Our observations were contrary to a previous study, where native perennial bunchgrass cover did not change consistently over time in ZPP’s old fields [17]. This inconsistency may be explained by the low sample size of old field sites (n = 4) analyzed by Taylor and Schmalz (2012) making detection of overall trends difficult among variation across just a few sites. However, our findings are consistent with Taylor and Schmalz’s (2012; [17]) hypothesis that F. idahoensis abundance would continue to increase in old fields over time. Despite increasing cover of some native species in old fields, two lines of evidence suggest that a continued shift back to native species dominance may not occur: 1) we found no evidence that non-native perennial grass cover has changed over time. In one way this is promising for conservation efforts because it suggests that the non-native perennial grasses have not expanded their distributions. Yet, this finding also suggests that they have not given ground to colonizing vegetation and aligns with previous observations which indicate that non-native perennial forage grasses seeded after disturbance can be highly competitive with colonizing native species and persist on the landscape [36-40]; and 2) V. dubia has spread into and quickly become a dominant species in ZPP’s old fields [25]. Cultivation of dry land sites, similar to the ZPP, can leave long lasting impacts on site characteristics [17,37,41-42], that can facilitate invasion by non-native species [43] and in some cases may result in the crossing of thresholds which make recovery to pre-disturbance communities unlikely [37,42,44-45]. Cultivation legacies (e.g., increased cover of bare-ground) may have facilitated the expansion of V. dubia into old fields. For example, change in V. dubia foliar cover was negatively related (r = -0.41) to change in cover of bare ground in our study. Old fields in the PNB canyon grasslands contain a higher dominance of V. dubia in the soil seed bank than similar adjacent uncultivated sites, suggesting that, once introduced, this species is well positioned for continued dominance when native seed is limited [21]. However, our observations that V. dubia has continued to spread into as well as become a dominant species in the previously uncultivated mesic prairie suggests that V. dubia invasion into the most mesic grassland sites is not dependent on cultivation related disturbance. Therefore, V. dubia will likely remain a dominant component in ZPP’s old fields (given current conditions, management, and land-use practices) even if native vegetation continues to recolonize that community. Given our results, we suspect that restoration efforts in ZPP’s old fields that reduce non-native perennial grass cover and open up bare ground have the potential for re-colonization by both native vegetation (i.e. F. idahoensis and G. triflorum) and/or V. dubia, and will probably result in colonization by both. Little is known about V. dubia impacts on native vegetation abundance and composition or the thresholds/potential to shift dominance from one functional group (native perennial, non-native perennial, or non-native annual) to another in PNB grasslands. We recommend that future research include the identification of potential community states and thresholds for transitions between different communities in PNB grasslands. Within old fields in particular, analyses comparing outcomes for different potential communities may be helpful when considering restoration/management options. For example, these types of analyses may help practitioners address questions such as: (1) would conservation of non-native perennial grass dominated communities limit the spread of V. dubia, and provide more desired ecosystem functionality compared to other possible states in old fields?; or, (2) are other potential communities such as a “native perennial grass/V.dubia” co-dominant community possible, and if so, would such a community be more beneficial for conservation of biodiversity? Our second important finding is that within previously uncultivated mesic prairie, that non-native abundance–primarily V. dubia–increased (relative cover increased by ~ 6%; foliar cover increased by a factor of 4) at the same time that native perennial forb abundance declined (from 30 to 25%). Regardless of whether or not these two responses have a causal relationship, both responses–if they are indicative of longer-term trends–may have important consequences to the ecological integrity of the ecosystem. Increased dominance of non-native annual grasses is likely to have substantial impacts on community level functionality including composition, diversity, and soil characteristics of the invaded system [6]. Conversions of bunchgrass dominated communities to non-native annual grasslands in other western North American ecosystems have been associated with reduced floral and faunal diversity, decreased forage production for grazing animals, reduced soil stability, increased susceptibility to erosion, and alteration to disturbance regimes (e.g., increased fire frequency and intensity), nutrient cycling dynamics, and species/structural composition [5,46-51]. Most examples of non-native annual grass impacts on bunchgrass communities in the Intermountain West have focused on annual Bromus species (e.g. Bromus tectorum; [48,52]). To date, few studies have investigated invasion dynamics and impacts of V. dubia [53]. Those that have, suggest potential competitive displacement of native vegetation by V. dubia [54, 55], reduced forage production, evidence of a negative association between V. dubia and biodiversity in a northern Idaho grassland [53], and a potentially broad ecological niche for V. dubia within bunchgrass, shrubland, and open forest communities in the Pacific Northwest [24,53,55-56]. Within Sagebrush-steppe habitats, V. dubia cover has been positively associated with mesic upland sites [55] and negatively associated with bio-crust cover and lichen richness [57]. Thus far, research has not identified linkages between fire and V. dubia invasion in the PNB [58]. Further research is needed to inform land managers about the potential impacts of V. dubia on invaded PNB communities, and whether or not such impacts will mirror those of other annual grass invasions in western North America. Our detection of a small decline in native perennial forb cover may be an early indication of a longer term trend in native vegetation change; however, we suggest caution in interpretation of the ecological significance of this result for a couple of reasons. First, our study is based on change between two time periods, and a 5% change in foliar cover is a relatively small change that may be attributable to some unmeasured natural variation in the system. Future research will be needed to determine long-term trajectories of perennial forb abundance as well as species-specific responses. Second, we do not expect that an overall ~5% decline in perennial forb cover will have significant impacts to ecosystem function or services in the ZPP. We recommend that trends in native perennial forb abundance be closely monitored at the ZPP because continued declines of forb cover may have negative cascading effects in the ZPP. Native perennial forbs serve important functions in PNB grasslands. Forbs are extremely important for floral diversity in PNB prairies because they are the major source of floral richness (make up > 60% of vascular plant species in the ZPP) in these and similar grasslands [14, 59–60]. Changes in native perennial forb abundance can impact species diversity and abundance at higher trophic levels, i.e., arthropod diversity and grassland birds [61-63]. Pollinator populations are particularly sensitive to changes in forb composition and abundance because forbs increase habitat and forage diversity for pollinators, and their flowers are the primary food source for adult stage pollinators in grasslands [15, 64]. Forbs have functionally important traits in PNB grassland systems including nitrogen fixation by legumes (e.g., Lupinus spp) and the presence of taproots which differ in their interaction with soil properties (e.g., water infiltration) compared to fibrous roots of grasses. Reductions in such functional traits can influence above and below ground floral and faunal composition and diversity, habitat, soil physical characteristics, and nutrient dynamics [65-66]. Additionally, many PNB forbs are culturally important resources (e.g., foods and medicines) for Native American tribes in the region [67-68]. Our third important finding was that V. dubia has invaded, and become a dominant species in all three communities (rank abundance = 1, 3, & 4 for the xeric, mesic, and old field communities respectively; [25]), and its abundance was negatively related to native perennial forb abundance. Our finding that V. dubia has rapidly spread into the mesic prairie and become a dominant species - 3rd in rank abundance and 6th in rank frequency—absent fire or major anthropogenic disturbances (heavy grazing pressure or known cultivation) suggests that previous hypotheses of high resistance of the more mesic PNB communities to invasion by non-native annual Bromus spp. may not apply to V. dubia [23,24]. Because this was an observational study, we do not know whether or not V. dubia invasion is responsible for the decline in native perennial forbs that we observed. Previous evidence that annual grasses have reduced native and non-native perennial forb abundance through competition for light in similar grasslands [69] coupled with our detection of a negative association between V. dubia and native perennial forb cover suggest that a causal link between increased V. dubia cover and decreased native forb cover should be explored further. Of course, both of these responses may be consequences of some other factor that is driving change in our study area. Other important disturbances to the ZPP system, including livestock grazing (a novel disturbance compared to evolutionary pressures), wild ungulate herbivory, and fire (a regime greatly altered by human activity), can have profound impacts on vegetation composition and may play important roles in vegetation change that we detected. Most of our study area has been and continues to be grazed by cattle. Livestock grazing has been hypothesized as an important factor that decreased the resilience of many western North American grasslands to annual grass invasion [5,46]. Much of the facilitation of livestock grazing to annual grass invasion is thought to be related to legacy effects of heavy grazing (preceding grazing regulations) that coincided with drought. It is unclear how cattle grazing, today, influences the invasion dynamics of annual grasses in the PNB. Disturbance by high populations of elk (Cervus canadensis) may also promote annual grass establishment in the region [70]. A recent study suggests that the combined herbivory by cattle and elk may facilitate V. dubia invasion at the ZPP [58]. Additionally, long-term changes in climate may influence changing distributions of species in our study area [71-72]. Future experimental studies that consider the impact of livestock grazing, wild ungulate herbivory, fire, and climate will aid the identification of drivers for V. dubia spread as well as the potential for a causal linkage between V. dubia invasion and native vegetation change.

Conclusion

This effort is one of few peer-reviewed studies to evaluate changes in native and non-native plant species composition over time in a PNB grassland (but see [20,58]). Our results demonstrate that plant composition of ZPP’s old fields are shifting towards that of the uncultivated grassland plots. Such change in old fields, however, may not represent progress towards native dominated communities because our findings suggest that non-native perennial grass cover has not changed and previous bare ground has not only been colonized by native species but also by V. dubia which is now the fourth most dominant species in old fields. Future research is needed to better understand the potential plant community states in PNB old fields, how different community states may aid/hinder management objectives (e.g., conservation of biodiversity), as well as management practices that influence transitions between potential community states. While we found varying responses of native vegetation across community types, in general, our findings indicate that despite the protected status of the ZPP, that V. dubia (an annual non-native grass) has rapidly spread into and become a dominant species within all major grassland community types (xeric, mesic, and old fields) in the ZPP. Previous research in similar grasslands have consistently demonstrated that shifts from native bunchgrass to non-native annual grass dominance greatly alter ecosystem functionality and are generally associated with suppressed native species richness and abundance. Such knowledge combined with our findings that V. dubia cover was negatively related to native perennial forb cover, as well as our detection of potential declines in native perennial forb abundance in the most recently invaded grassland sites suggest that V. dubia poses a threat to conservation of biodiversity and grassland function in the largest remaining protected Pacific Northwest Bunchgrass remnant. 27 Oct 2019 PONE-D-19-27436 Vegetation change over seven years in the largest protected Pacific Northwest Bunchgrass Prairie remnant. PLOS ONE Dear Mr. Averett, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. I would like to see all of Reviewer 1's comments addressed before re-submission. You need to provide detail regarding any treatments that may have occurred in the time interval between the two sampling periods, and address how those treatments likely influenced your results. The reviewers both felt the manuscript was well-written, and provided information that will be a useful contribution to the literature on the topic. After reading your manuscript myself, I had many of the same questions/comments raised by Reviewer 1, and that was the basis of my decision. We would appreciate receiving your revised manuscript by Dec 11 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. 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Should your manuscript be accepted for publication, we will hold it until you provide the relevant accession numbers or DOIs necessary to access your data. If you wish to make changes to your Data Availability statement, please describe these changes in your cover letter and we will update your Data Availability statement to reflect the information you provide. Additional Editor Comments: Overall, this is a well-written manuscript that provides interesting/useful information. Reviewer 1 points out several major issues that need to be addressed in your manuscript, and I concur with their recommendations. Generally, you need to address the influence of treatments during the time interval of your study that could have influenced your results. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Review or PONE-D-19-27436 This manuscript summarizes changes that occurred in a PNW bunchgrass prairie community over time. While this is important to document, particularly with increasing threats to this sensitive ecosystem, the paper is lacking valuable details (besides a brief mention of Rx fire, grazing and herbicide in the Methods) about what management has occurred across this site over time and how those actions may have influenced the shifting communities. There is substantial literature of the effects of each of these management tools on native and non-native plant communities and a more thorough discussion of these impacts would strengthen the paper and provide some potential mechanisms driving the findings. I have therefore recommended 'major revision', as this could add a substantial component to the methods, results & discussion, especially is there is the opportunity to group results based on management histories (that will depend on if/how well management actions have been documented for the sampled areas). Methods: It would be helpful to know what restoration/management treatments (Rx fire, targeted herbicide, native seeding/planting, etc.) were applied within each of these plant community types over the 7 years between sampling times that could have influenced the resulting plant communities. For instance, what is the fire frequency? What grazing rotations are used? What herbicides are used and how are they applied? Have any native plants been (re)introduced into treated areas? Ln194: How were the plots distributed among the different plant community types? Ln202: Change ‘were’ to ‘was’ LN232: Remove comma after ‘performed’ Ln240-242: This sentence has awkward punctuation- I’d recommend separating into two sentences. Results: Ln273: Remove the comma after V. dubia LN314: You did not include measurement of bare ground in your Methods. Ln322: Why is the decline in perennial bunchgrasses described as ‘potentially subtle’ (vs. just ‘subtle’)? Discussion: Ln363: Why do you think your findings disagreed with the previous study? Ln383-389: Run-on sentence – consider splitting into two sentences Ln400: number these questions Ln402: remove comma after ‘states’ Ln404: the ideas presented here seem like a good opportunity to incorporate some examples and ideas surrounding the concept of novel ecosystems. Ln443: trophic is misspelled Ln447: Not sure ‘novel’ is the appropriate word to use here, as that suggests that these functional traits are new. Maybe ‘functionally important’ instead? Ln454: I’d recommend starting this paragraph with ‘Our third important finding’ instead of ‘Thirdly’ to be consistent with previous paragraphs. Ln459: add ‘s’ to ‘suggest’ Ln468-470: add comma after ‘system’ and ‘…human activity)’ Ln472-475: This would be a good place to discuss the restoration and/or management actions that have been applied in these sites over the past seven years and how they may have influenced your findings. Reviewer #2: This is a nice summary of vegetation change over time and it uses clear and appropriate statistical methodology to look at both individual species and whole community change. You clearly address the limitations of an observational study and point out important directions for future experimental research. Your interpretations of the trends that stand out in your analyses are concise and well-supported by external evidence and you do a good job of discussing the potential for many other unmeasured drivers. This is an important initial look at change in this threatened ecosystem and will be helpful to guide future research in the Zumwalt Prairie and in other remnant PNW prairie ecosystems. I've attached a pdf with just a few additional suggestions on the figures. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. Submitted filename: PONE-D-19-27436_reviewX.pdf Click here for additional data file. 11 Dec 2019 Dear Editor: We are pleased to resubmit our revised manuscript: “Vegetation change over seven years in the largest protected Pacific Northwest Bunchgrass Prairie remnant”; Manuscript no. PONE-D-19-27436. I would like to thank you and the reviewers for the helpful comments and suggestions to improve the quality of our manuscript. Please see our responses to each specific comment in italicized blue text. Thank you and please let me know if there are any additional edits needed. We are excited to move forward with this manuscript in PLOS ONE. Associate Editors Comments: Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. I would like to see all of Reviewer 1's comments addressed before re-submission. You need to provide detail regarding any treatments that may have occurred in the time interval between the two sampling periods, and address how those treatments likely influenced your results. The reviewers both felt the manuscript was well-written, and provided information that will be a useful contribution to the literature on the topic. After reading your manuscript myself, I had many of the same questions/comments raised by Reviewer 1, and that was the basis of my decision. Reviewer 1 Comments: This manuscript summarizes changes that occurred in a PNW bunchgrass prairie community over time. While this is important to document, particularly with increasing threats to this sensitive ecosystem, the paper is lacking valuable details (besides a brief mention of Rx fire, grazing and herbicide in the Methods) about what management has occurred across this site over time and how those actions may have influenced the shifting communities. There is substantial literature of the effects of each of these management tools on native and non-native plant communities and a more thorough discussion of these impacts would strengthen the paper and provide some potential mechanisms driving the findings. I have therefore recommended 'major revision', as this could add a substantial component to the methods, results & discussion, especially is there is the opportunity to group results based on management histories (that will depend on if/how well management actions have been documented for the sampled areas). Methods: It would be helpful to know what restoration/management treatments (Rx fire, targeted herbicide, native seeding/planting, etc.) were applied within each of these plant community types over the 7 years between sampling times that could have influenced the resulting plant communities. For instance, what is the fire frequency? What grazing rotations are used? What herbicides are used and how are they applied? Have any native plants been (re)introduced into treated areas? We added text in a couple of places in the manuscript: (1) In lines 188-200; we indicate that cattle were grazed over most of our study area (~ 95% of plots) at stocking rate of 4.7 acres per AUM consistent with the larger Zumwalt Prairie and the last several decades of grazing management in the area. We also indicate that 12 plots (~ 10%) were exposed to some level of management/restoration activities (e.g., prescribed fire, n = 4; recent or temporary exclusion of cattle grazing, n = 6, herbicide and seeding, n = 1) over the duration of our study [25]. We have updated our data article (which makes available all of the data used in this study) to include any management/restoration treatments by plot so that this information is transparent to readers. The data article and raw data files have been accepted with revisions to Data In Brief The small sample size of plots with any specific management treatment did not allow for the effects of such treatments to be evaluated in this study. Additionally, we acknowledge that we ran all analyses with and without the 12 plots, and there inclusion/deletion did not alter our findings, and did not change the significance (at an alpha level of 0.05) of any comparisons or relationships in our analyses. Therefore, we decided to include all of the plots in the analyses to capture more variation in vegetation composition across the prairie habitat of the Zumwalt Prairie Preserve. (2) We clarify (in lines 134-136) that any herbicide spraying on the Zumwalt Prairie Preserve consists of spot-spraying of individual plants of primarily Hieracium caespitosum, Potentilla recta, and Onopordum acanthium; these sites are currently localized and not widespread. Moreover, none of these common in our study area (not in Table 1). (3) We added text in lines 492-500 to acknowledge that cattle grazing may influence patterns of invasion that were detected since livestock grazing has been hypothesized to decrease the resilience of western North American grasslands to annual grass invasion. We also provide evidence from the literature where one study found a relationship between elk disturbance and annual grass establishment, and another example that found evidence for the combined effect of cattle and elk herbivory on facilitation of V. dubia invasion at the Zumwalt Prairie Preserve. Ln194: How were the plots distributed among the different plant community types? (Now line 213): We added sample sizes (parenthetically) for each of the community types to show the representation of each community in sampled plots. Ln202: Change ‘were’ to ‘was’ Done. LN232: Remove comma after ‘performed’ Done. Ln240-242: This sentence has awkward punctuation- I’d recommend separating into two sentences. Done. Results: Ln273: Remove the comma after V. dubia Done. LN314: You did not include measurement of bare ground in your Methods. We added text, in lines 208-212, to identify soil characteristics measured (litter, rock, moss/lichen, bare ground) as well as a description of how bare ground cover was calculated in our study: “Plot cover of bare ground was calculated as the percentage of hits (out of 150) for bare ground in that plot where no other plant species or soil cover (litter, rock, moss/lichen) was encountered.” Ln322: Why is the decline in perennial bunchgrasses described as ‘potentially subtle’ (vs. just ‘subtle’)? Deleted “potentially”. Discussion: Ln363: Why do you think your findings disagreed with the previous study? We added text (Ln 383-386) indicating that the inconsistency between our finding and Taylor and Schmalz (2012) may have been explained by the low sample size (n = 4) of old field sites analyzed in the previous study which would likely have made detection of overall trends in the data difficult among variation of just a few sites. Ln383-389: Run-on sentence – consider splitting into two sentences (Now Ln404-409) We split this sentence into two sentences, and re-worded for clarity. Ln400: number these questions Done. Ln402: remove comma after ‘states’ Done. Ln404: the ideas presented here seem like a good opportunity to incorporate some examples and ideas surrounding the concept of novel ecosystems. We agree, however, this paper does not focus on the future question suggested here. Technically, the entire study area may fit into a novel ecosystem concept (i.e., non-native species are dominant across the prairie), but for the sake of not greatly expanding the manuscript beyond the scope of the research objectives we chose to not expand into the novel ecosystems literature here. Ln443: trophic is misspelled Corrected spelling error. Ln447: Not sure ‘novel’ is the appropriate word to use here, as that suggests that these functional traits are new. Maybe ‘functionally important’ instead? Changed to “functionally important”. Ln454: I’d recommend starting this paragraph with ‘Our third important finding’ instead of ‘Thirdly’ to be consistent with previous paragraphs. (Now line 466): Changed to “Our third important finding”. Ln459: add ‘s’ to ‘suggest’ Done. Ln468-470: add comma after ‘system’ and ‘…human activity)’ Done. Ln472-475: This would be a good place to discuss the restoration and/or management actions that have been applied in these sites over the past seven years and how they may have influenced your findings. (Lines 188-200 & 492-504): We added a more detailed description of land use treatments and/or lack thereof in the sites sampled. Most of the sites were grazed by cattle at a stocking rate of 4.7 acres per animal unit month (AUM). This livestock grazing system is consistent with stocking rates across the larger Zumwalt Prairie and have been relatively constant for at least 50 years in the area. Twelve plots were subjected to management/restoration treatments; these treatment levels by plot are now included in the data paper (in review with Data In Brief) which will provide the raw data used in this study to readers. Deletion of all 12 plots subjected to management/restoration treatments did not alter our findings so they were retained in the dataset so that we could capture more variation of the community in our dataset. Reviewer 2 Comments (summarized): Figures: Figure 2 – Remove ordination axis labels Done. Figure 2 – Ordination colors need to be more distinguishable; distinction of black and blue is difficult We made the convex hull lines thicker and changed the blue line type to a hashed line so that the blue and black lines (and corresponding community groups) are more easily distinguishable. Figure 3 – Recommend converting blue symbols to a black and white scale. We converted the blue symbols to black in the ordinations for Figure 3. Sincerely, Josh Averett Faculty Research Assistant Eastern Oregon Agriculture and Natural Resource Program Oregon State University Badgley Hall, 205 541-962-3249 Submitted filename: Response to Reviewers.docx Click here for additional data file. 18 Dec 2019 Vegetation change over seven years in the largest protected Pacific Northwest Bunchgrass Prairie remnant. PONE-D-19-27436R1 Dear Dr. Averett, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Matt A Bahm, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: 16 Jan 2020 PONE-D-19-27436R1 Vegetation change over seven years in the largest protected Pacific Northwest Bunchgrass Prairie remnant. Dear Dr. Averett: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Matt A Bahm Academic Editor PLOS ONE
  13 in total

1.  Diversity and productivity in a long-term grassland experiment.

Authors:  D Tilman; P B Reich; J Knops; D Wedin; T Mielke; C Lehman
Journal:  Science       Date:  2001-10-26       Impact factor: 47.728

2.  Invasion, competitive dominance, and resource use by exotic and native California grassland species.

Authors:  Eric W Seabloom; W Stanley Harpole; O J Reichman; David Tilman
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-31       Impact factor: 11.205

Review 3.  Fire management impacts on invasive plants in the western United States.

Authors:  Jon E Keeley
Journal:  Conserv Biol       Date:  2006-04       Impact factor: 6.560

Review 4.  Predicting plant invasions in an era of global change.

Authors:  Bethany A Bradley; Dana M Blumenthal; David S Wilcove; Lewis H Ziska
Journal:  Trends Ecol Evol       Date:  2010-01-25       Impact factor: 17.712

5.  Plant species loss decreases arthropod diversity and shifts trophic structure.

Authors:  Nick M Haddad; Gregory M Crutsinger; Kevin Gross; John Haarstad; Johannes M H Knops; David Tilman
Journal:  Ecol Lett       Date:  2009-08-21       Impact factor: 9.492

6.  Plant invasions and extinction debts.

Authors:  Benjamin Gilbert; Jonathan M Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-07       Impact factor: 11.205

7.  Plant community diversity and native plant abundance decline with increasing abundance of an exotic annual grass.

Authors:  Kirk W Davies
Journal:  Oecologia       Date:  2011-04-21       Impact factor: 3.225

8.  Introduced annual grass increases regional fire activity across the arid western USA (1980-2009).

Authors:  Jennifer K Balch; Bethany A Bradley; Carla M D'Antonio; José Gómez-Dans
Journal:  Glob Chang Biol       Date:  2012-11-01       Impact factor: 10.863

9.  Negative effects of an exotic grass invasion on small-mammal communities.

Authors:  Eric D Freeman; Tiffanny R Sharp; Randy T Larsen; Robert N Knight; Steven J Slater; Brock R McMillan
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

10.  Plant diversity and root traits benefit physical properties key to soil function in grasslands.

Authors:  Iain J Gould; John N Quinton; Alexandra Weigelt; Gerlinde B De Deyn; Richard D Bardgett
Journal:  Ecol Lett       Date:  2016-07-26       Impact factor: 9.492

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