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Catherine S. Jarnevich

Aim Preventing the spread of range-shifting invasive species is a top priority for mitigating the impacts of climate change. Invasive plants become abundant and cause negative impacts in only a fraction of their introduced ranges, yet projections of invasion risk are almost exclusively derived from models built using all non-native occurrences and neglect abundance information. Location Eastern USA. Methods We compiled abundance records for 144 invasive plant species from five major growth forms. We fit over 600 species distribution models based on occurrences of abundant plant populations, thus projecting which areas in the eastern United States (U.S.) will be most susceptible to invasion under current and +2°C...
Categories: Publication; Types: Citation
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Identifying the climatic drivers of an ecological system is a key step in assessing its vulnerability to climate change. Theclimatic dimensions to which a species or system is most sensitive – such as means or extremes – can guide methodologicaldecisions for projections of ecological impacts and vulnerabilities. However, scientific workflows for combining climateprojections with ecological models have received little explicit attention. We review Global Climate Model (GCM)performance along different dimensions of change and compare frameworks for integrating GCM output into ecologicalmodels. In systems sensitive to climatological means, it is straightforward to base ecological impact assessments onmean projected...
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This data bundle contains the final outputs from a VisTrails/SAHM workflow to model the potential distribution of 5 rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila, Astragalus ripleyi, and Cymopterus spellenbergii) in northern New Mexico. These models utilized field data of spatially thinned occurrence locations and random background locations or random plus absence locations for the 5 species. Predictors included but were not limited to soil characteristics, topography, percent tree cover, bare ground, and continuous heat-insolation load index rasters. Details about both occurrence data and predictor inputs are included in the associated manuscript and Source Info section of this metadata....
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We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the modeling workflow developed in Young et al. 2020, but developed models both for two data types, where species were present and where they were abundant. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We accounted for uncertainty related to sampling bias by using two alternative sources of background samples, and constructed model ensembles using the 10 models for each species (five algorithms by two background methods) for four different thresholds. This data bundle contains the presence and...
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We developed habitat suitability models for four invasive plant species of concern to Department of Interior land management agencies. We generally followed the modeling workflow developed in Young et al. 2020, but developed models both for two data types, where species were present and where they were abundant. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.1.2]. We accounted for uncertainty related to sampling bias by using two alternative sources of background samples, and constructed model ensembles using the 10 models for each species (five algorithms by two background methods) for four different thresholds. This data bundle contains the presence and...
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