4.7 Article

Combining local, landscape, and regional geographies to assess plant community vulnerability to invasion impact

期刊

ECOLOGICAL APPLICATIONS
卷 33, 期 4, 页码 -

出版社

WILEY
DOI: 10.1002/eap.2821

关键词

hierarchical analysis; impact; invasive; National Ecological Observatory Network; richness; vulnerability

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Invasive species science has historically focused on the invasive agent, while neglecting the vulnerability of resident communities to invasion impacts. This study introduces an analytical framework that accounts for factors acting across scales to quantify the scale-dependent impact of biological invasions on native richness. By analyzing vegetation data from the U.S. National Ecological Observatory Network, the researchers found that native richness was compromised only at high levels of non-native plant cover. Additionally, colder and wetter ecoregions were found to be most vulnerable at the local level, while warmer and wetter regions were most susceptible at the landscape level.
Invasive species science has focused heavily on the invasive agent. However, management to protect native species also requires a proactive approach focused on resident communities and the features affecting their vulnerability to invasion impacts. Vulnerability is likely the result of factors acting across spatial scales, from local to regional, and it is the combined effects of these factors that will determine the magnitude of vulnerability. Here, we introduce an analytical framework that quantifies the scale-dependent impact of biological invasions on native richness from the shape of the native species-area relationship (SAR). We leveraged newly available, biogeographically extensive vegetation data from the U.S. National Ecological Observatory Network to assess plant community vulnerability to invasion impact as a function of factors acting across scales. We analyzed more than 1000 SARs widely distributed across the USA along environmental gradients and under different levels of non-native plant cover. Decreases in native richness were consistently associated with non-native species cover, but native richness was compromised only at relatively high levels of non-native cover. After accounting for variation in baseline ecosystem diversity, net primary productivity, and human modification, ecoregions that were colder and wetter were most vulnerable to losses of native plant species at the local level, while warmer and wetter areas were most susceptible at the landscape level. We also document how the combined effects of cross-scale factors result in a heterogeneous spatial pattern of vulnerability. This pattern could not be predicted by analyses at any single scale, underscoring the importance of accounting for factors acting across scales. Simultaneously assessing differences in vulnerability between distinct plant communities at local, landscape, and regional scales provided outputs that can be used to inform policy and management aimed at reducing vulnerability to the impact of plant invasions.

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