Literature DB >> 16827008

Characterizing the landscape dynamics of an invasive plant and risk of invasion using remote sensing.

Bethany A Bradley1, John F Mustard.   

Abstract

Improved understanding of the spatial dynamics of invasive plant species may lead to more effective land management and reduced future invasion. Here, we identified the spatial extents of nonnative cheatgrass (Bromus tectorum) in the north central Great Basin using remotely sensed data from Landsat MSS, TM, and ETM+. We compared cheatgrass extents in 1973 and 2001 to six spatially explicit landscape variables: elevation, aspect, hydrographic channels, cultivation, roads, and power lines. In 2001, Cheatgrass was 10% more likely to be found in elevation ranges from 1400 to 1700 m (although the data suggest a preferential invasion into lower elevations by 2001), 6% more likely on west and northwest facing slopes, and 3% more likely within hydrographic channels. Over this time period, cheatgrass expansion was also closely linked to proximity to land use. In 2001, cheatgrass was 20% more likely to be found within 3 km of cultivation, 13% more likely to be found within 700 m of a road, and 15% more likely to be found within 1 km of a power line. Finally, in 2001 cheatgrass was 26% more likely to be present within 150 m of areas occupied by cheatgrass in 1973. Using these relationships, we created a risk map of future cheatgrass invasion that may aid land management. These results highlight the importance of including land use variables and the extents of current plant invasion in predictions of future risk.

Entities:  

Mesh:

Year:  2006        PMID: 16827008     DOI: 10.1890/1051-0761(2006)016[1132:ctldoa]2.0.co;2

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  13 in total

1.  Temperature and functional traits influence differences in nitrogen uptake capacity between native and invasive grasses.

Authors:  A Joshua Leffler; Jeremy J James; Thomas A Monaco
Journal:  Oecologia       Date:  2012-06-29       Impact factor: 3.225

2.  Native perennial grasses show evolutionary response to Bromus tectorum (cheatgrass) invasion.

Authors:  Erin M Goergen; Elizabeth A Leger; Erin K Espeland
Journal:  PLoS One       Date:  2011-03-30       Impact factor: 3.240

3.  Increasing potential risk of a global aquatic invader in Europe in contrast to other continents under future climate change.

Authors:  Xuan Liu; Zhongwei Guo; Zunwei Ke; Supen Wang; Yiming Li
Journal:  PLoS One       Date:  2011-03-30       Impact factor: 3.240

4.  Integrating spread dynamics and economics of timber production to manage Chinese tallow invasions in southern U.S. forestlands.

Authors:  Hsiao-Hsuan Wang; William E Grant; Jianbang Gan; William E Rogers; Todd M Swannack; Tomasz E Koralewski; James H Miller; John W Taylor
Journal:  PLoS One       Date:  2012-03-19       Impact factor: 3.240

5.  Interannual climate variability mediates changes in carbon and nitrogen pools caused by annual grass invasion in a semiarid shrubland.

Authors:  Adam L Mahood; Rachel O Jones; David I Board; Jennifer K Balch; Jeanne C Chambers
Journal:  Glob Chang Biol       Date:  2021-10-15       Impact factor: 13.211

6.  Contemporary Remotely Sensed Data Products Refine Invasive Plants Risk Mapping in Data Poor Regions.

Authors:  Tuyet T A Truong; Giles E St J Hardy; Margaret E Andrew
Journal:  Front Plant Sci       Date:  2017-05-15       Impact factor: 5.753

7.  Climate and pH predict the potential range of the invasive apple snail (Pomacea insularum) in the southeastern United States.

Authors:  James E Byers; William G McDowell; Shelley R Dodd; Rebecca S Haynie; Lauren M Pintor; Susan B Wilde
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

8.  The dispersal ecology of Rhodesian sleeping sickness following its introduction to a new area.

Authors:  Nicola A Wardrop; Eric M Fèvre; Peter M Atkinson; Susan C Welburn
Journal:  PLoS Negl Trop Dis       Date:  2013-10-10

9.  Monitoring the invasion of Spartina alterniflora using very high resolution unmanned aerial vehicle imagery in Beihai, Guangxi (China).

Authors:  Huawei Wan; Qiao Wang; Dong Jiang; Jingying Fu; Yipeng Yang; Xiaoman Liu
Journal:  ScientificWorldJournal       Date:  2014-05-04

10.  Correlating species and spectral diversities using hyperspectral remote sensing in early-successional fields.

Authors:  Itiya P Aneece; Howard Epstein; Manuel Lerdau
Journal:  Ecol Evol       Date:  2017-04-06       Impact factor: 3.167

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