Filters: Tags: species distribution modeling (X)
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This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflows, one creating a global habitat suitability model for buffelgrass and another creating a habitat suitability model for buffelgrass in Saguaro National Park, AZ. The bundle documentation files are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) 'modelSelectionCV_MakeAbsPntsFilt100_2.csv' containing the field data used as inputs for the Saguaro National Park model. 3) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size...
We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate changes in lek suitability and to quantify current range-wide habitat suitability. We created suitability models from 2 predictor sets: one including all predictors, and the other excluding state as a predictor. All 11 predictors included in the "with state" predictor set were: average Enhanced Vegetation Index (EVI), distance...
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...
PEM_Projects contains Predictive Ecosystem Mapping (PEM) project boundaries (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, legends). PEM uses modeling to divide the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute
We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/Fremont cottonwood (Populus deltoides ssp. monilifera and ssp. wislizenii, Populus fremontii), narrowleaf cottonwood (Populus angustifolia), and black cottonwood (Populus balsamifera ssp. trichocarpa and ssp. balsamifera). We generally followed the modeling workflow developed in Young et al. 2020. We developed models using...
Categories: Data;
Tags: Elaeagnus angustifolia,
Populus spp.,
SAHM,
Software for Assisted Habitat Modeling,
Species Distribution modeling,
The 'archive_raster_outputs.zip' data bundle includes 'XX.tif' and 'XX.xml' where XX is the name of 1 of 9 specific output rasters produced from '_archive_workflow_FinalModel.vt'. These outputs include continuous and thresholded probability maps for models including and excluding state as a predictor, as well as a MESS (Multivariate Environmental Similarity Surface) map that describes areas with restricted environmental conditions for this species.
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...
Categories: Data;
Tags: Bromus rubens,
Ranunculus testiculatus,
SAHM,
Software for Assisted Habitat Modeling,
Species Distribution modeling,
We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/Fremont cottonwood (Populus deltoides ssp. monilifera and ssp. wislizenii, Populus fremontii), narrowleaf cottonwood (Populus angustifolia), and black cottonwood (Populus balsamifera ssp. trichocarpa and ssp. balsamifera). We generally followed the modeling workflow developed in Young et al. 2020. We developed models using...
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...
There is a broad consensus within the scientific community that global climate is undergoing a comparatively rapid change. Since many plants and animals depend on specific types of climate, it is imperative to understand: (1) the details of species’ climatic preferences; (2) how climates may change in the future; and (3) how species may respond to these changes. Species distribution modeling (SDM) is an increasingly important tool to address conservation biology and global change issues. As Fortini and colleagues described in their largest vulnerability assessment in the US, SDMs provide critical information on biological refuges and potential future shifts in species ranges. In addition, climate changes could alter...
Categories: Publication;
Types: Citation;
Tags: Hawai'i,
Pacific Islands CASC,
Plants,
Vegetation,
Wildlife and Plants,
Habitat suitability was estimated for invasive Phragmites in the coastal Great Lakes region (shoreline to 10 km inland). These estimates were based on current distribution patterns and environmental conditions. Phragmites presence or absence was defined based on a distribution map produced by cooperative research between the GLSC and Michigan Technical Research Institute. Environmental variables were processed in a Geographic Information System (GIS) and came from existing publicly available sources. Variables include descriptors of soils, nutrients, topography, ecoregion, anthropogenic disturbance, and climate. Environmental conditions and Phragmites presence/absence were sampled in a GIS at points established...
Categories: Data;
Types: Map Service,
OGC WMS Layer;
Tags: Accountability,
GLRI,
Great Lakes,
Great Lakes Restoration Initiative,
Invasive Species,
USGS researchers surveyed talus patches across the western USA, in conjunction with numerous partners during 2012-2015, inclusive. Data are locations at which American pikas were detected, via either vocalizations (C), fresh haypile (HP), or sighting (S).
Categories: Data;
Tags: American pika,
Ecology,
USGS Science Data Catalog (SDC),
United States,
Wildlife Biology,
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...
This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in the INHABIT models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for sampling bias by using the target background approach, and constructed model ensembles using the five models for each species for three different thresholds (conservative to targeted;1st...
Categories: Data,
Data Release - In Progress;
Tags: Botany,
Contiguous United States,
Ecology,
SAHM,
Species Distribution Modeling,
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...
Categories: Data;
Tags: Bromus rubens,
Ranunculus testiculatus,
SAHM,
Software for Assisted Habitat Modeling,
Species Distribution modeling,
We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/Fremont cottonwood (Populus deltoides ssp. monilifera and ssp. wislizenii, Populus fremontii), narrowleaf cottonwood (Populus angustifolia), and black cottonwood (Populus balsamifera ssp. trichocarpa and ssp. balsamifera). We generally followed the modeling workflow developed in Young et al. 2020. We developed models using...
Categories: Data;
Tags: Elaeagnus angustifolia,
Populus spp.,
SAHM,
Software for Assisted Habitat Modeling,
Species Distribution modeling,
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