| Literature DB >> 35677290 |
Vikki L Rodgers1, Sara E Scanga2, Mary Beth Kolozsvary3, Danielle E Garneau4, Jason S Kilgore5, Laurel J Anderson6, Kristine N Hopfensperger7, Anna G Aguilera8, Rebecca A Urban9, Kevyn J Juneau10.
Abstract
The invasive plant Alliaria petiolata (garlic mustard) has spread throughout forest understory and edge communities in much of North America, but its persistence, density, and impacts have varied across sites and time. Surveying the literature since 2008, we evaluated both previously proposed and new mechanisms for garlic mustard's invasion success and note how they interact and vary across ecological contexts. We analyzed how and where garlic mustard has been studied and found a lack of multisite and longitudinal studies, as well as regions that may be under- or overstudied, leading to poor representation for understanding and predicting future invasion dynamics. Inconsistencies in how sampling units are scaled and defined can also hamper our understanding of invasive species. We present new conceptual models for garlic mustard invasion from a macrosystems perspective, emphasizing the importance of synergies and feedbacks among mechanisms across spatial and temporal scales to produce variable ecological contexts.Entities:
Keywords: ecological context; garlic mustard (Alliaria petiolata); invasive species; macrosystems; spatial and temporal scaling
Year: 2022 PMID: 35677290 PMCID: PMC9169898 DOI: 10.1093/biosci/biac012
Source DB: PubMed Journal: Bioscience ISSN: 0006-3568 Impact factor: 11.566
Figure 1.Site-based research on invasive garlic mustard at various scales in the published literature between 1 January 2008 and 31 December 2021 (represented by last two digits of year). (a) The number of publications since 2008 with at least one site in each state or province, superimposed over the range of garlic mustard (GM, states or provinces where it is present). Garlic mustard range (state-level presence) was estimated based on data from the Center for Invasive Species and Ecosystem Health at the University of Georgia's Early Detection and Distribution Mapping System (EDDMapS) and iNaturalist GBIF Research Grade observations. (b) The cumulative number of studies over time conducted at different spatial scales, including single site within one state or province or multisite within one, two, or more states or provinces. (c) The number of sites per study over time. The sample size (n) for the boxplots is indicated under the year.
Figure 2.Proposed mechanisms for garlic mustard success based on the current literature, including both inherent traits of the plant (indicated in bold) and ecological context, across four categories of relatively small or large spatial scales and relatively short or long temporal scales. Mechanisms that have been shown to be most important and prevalent across different contexts are identified by an asterisk (*). Mechanisms that have been shown to be most variable across different contexts are identified by a caret (^).
Figure 3.Hierarchical macrosystem model following Heffernan and colleagues (2014), identifying key variables and synergies within and across the local and macroscales for garlic mustard success. Variables are indicated as having primarily positive and/or negative influence on the connecting variable. Dispersal (not shown) causes teleconnections and alters synergies at multiple scales (see the text for details). The black arrows indicate local scale interactions, red arrows indicate cross-scale interactions, blue arrows indicate cross-scale emergences, and green dashed arrows indicate macroscale interactions. The dashed blue boxes indicate the local variables that interact to produce cross-scale emergences.