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These data were analyzed for the publication 'Accounting for sampling patterns reverses the relative importance of trade and climate for the global sharing of exotic plants': Aim: Exotic species’ distributions reflect patterns of human-mediated dispersal, species’ climatic tolerances, and a suite of other biotic and abiotic factors. The relative importance of each of these factors will shape how the spread of exotic species is affected by ongoing economic globalization and climate change. However, patterns of trade may be correlated with variation in scientific sampling effort globally, potentially confounding studies that do not account for sampling patterns. Location: Global. Methods: We used data from the Global...
Categories: Data;
Types: Citation;
Tags: Global,
USGS Science Data Catalog (SDC),
ecology,
macroecology,
nonindigenous species,
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics and alternative management actions in Saguaro National Park, AZ. Buffelgrass is an invasive grass spreading in the park. This work built on previous efforts that first developed a state and transition simulation model linked to FARSITE fire behavior model to describe buffelgrass dynamics in the park and a secondary effort to evaluate these dynamics in light of uncertainties in the model. This model represents uninvaded and invaded parts of the desert ecosystem and adds alternative management actions to the previously built models (cross reference). The model was built using the ST-Sim software platform linked to the FARSITE...
This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflow. These models specifically include field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence). Predictors included rasters derived from LandSat 8 imagery (_archive_FinalModel_revised) or from a digital elevation model (_archive_TopoOnly_revised). Details about all inputs are included in the associated manuscript. The three bundle documentation files in each data bundle are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) '_archive_raster_inputs.csv' a list of the raster inputs that...
This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence) from two wildfire locations in Wyoming. Predictors included rasters derived from Landsat 8 imagery and from a digital elevation model. Details about both inputs are included in the associated manuscript described in the larger work citation of the '_archive_bundle_metadata.xml' metadata record. We developed models for each location and tested the transferability of the models to the other location. We built on previous work developing models for...
This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based...
We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed...
Locations of and proportional abundance of non-native and synanthropic passerines were extracted from Breeding Bird Survey (BBS) data from 2010-2012. Information characterizing the spatial variation and the associated amount, aggregation, and diversity of developed and agricultural land cover types was extracted from the National Land Cover Datasets of 2011. Data supported analyses in the publication: Sofaer, H.R., C.H. Flather, C.S. Jarnevich, K.P. Davis, and L. Pejchar. Human-associated species dominate passerine communities across the United States. Global Ecology and Biogeography.
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