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Journal ArticleDOI

Climate change increases risk of plant invasion in the Eastern United States

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TLDR
Bioclimatic envelope modeling is used to assess current climatic habitat, or lands climatically suitable for invasion, for three of the most dominant and aggressive invasive plants in the southeast United States: kudzu, privet, and cogongrass, and an ensemble of 12 atmosphere-ocean general circulation models are used to project changes in Climatic habitat for the three invasive species by 2100.
Abstract
Invasive plant species threaten native ecosystems, natural resources, and managed lands worldwide. Climate change may increase risk from invasive plant species as favorable climate conditions allow invaders to expand into new ranges. Here, we use bioclimatic envelope modeling to assess current climatic habitat, or lands climatically suitable for invasion, for three of the most dominant and aggressive invasive plants in the southeast United States: kudzu (Pueraria lobata), privet (Ligustrum sinense; L. vulgare), and cogongrass (Imperata cylindrica). We define climatic habitat using both the Maxent and Mahalanobis distance methodologies, and we define the best climatic predictors based on variables that best ‘constrain’ species distributions and variables that ‘release’ the most land area if excluded. We then use an ensemble of 12 atmosphere-ocean general circulation models to project changes in climatic habitat for the three invasive species by 2100. The combined methodologies, predictors, and models produce a robust assessment of invasion risk inclusive of many of the approaches typically used individually to assess climate change impacts. Current invasion risk is widespread in southeastern states for all three species, although cogongrass invasion risk is more restricted to the Gulf Coast. Climate change is likely to enable all three species to greatly expand their ranges. Risk from privet and kudzu expands north into Ohio, Pennsylvania, New York, and New England states by 2100. Risk from cogongrass expands as far north as Kentucky and Virginia. Heightened surveillance and prompt eradication of small pockets of invasion in northern states should be a management priority.

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Citations
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Journal ArticleDOI

Scientists' warning on invasive alien species.

TL;DR: Improved international cooperation is crucial to reduce the impacts of invasive alien species on biodiversity, ecosystem services, and human livelihoods, as synergies with other global changes are exacerbating current invasions and facilitating new ones, thereby escalating the extent and impacts of invaders.
Journal ArticleDOI

Predicting plant invasions in an era of global change

TL;DR: Current knowledge about relationships between plant invasion and global change is reviewed, research needed to improve forecasts of invasion risk is highlighted, and managers should be prepared for both expansion and contraction of invasive plants due to global change.

Climate Change Impacts in the United States

TL;DR: The report summarizes the science of climate change and the impacts in the United States, now and in the future as discussed by the authors, and concludes that climate change is a major threat to the US.
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Improving the Use of Species Distribution Models in Conservation Planning and Management under Climate Change

TL;DR: The effects of choice of variables, climate models and emissions scenarios can have on future species distribution models using two endangered species: one a short-lived invertebrate species (Ptunarra Brown Butterfly) and the other a long-lived paleo-endemic tree species (King Billy Pine).
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Journal ArticleDOI

Maximum entropy modeling of species geographic distributions

TL;DR: In this paper, the use of the maximum entropy method (Maxent) for modeling species geographic distributions with presence-only data was introduced, which is a general-purpose machine learning method with a simple and precise mathematical formulation.
Book

Climate change 2007 : the physical science basis : contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

Susan Solomon
TL;DR: In this article, the authors present a historical overview of climate change science, including changes in atmospheric constituents and radiative forcing, as well as changes in snow, ice, and frozen ground.
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