Data from: Predicting the continuum between corridors and barriers to animal movements using Step Selection Functions and Randomized Shortest Paths ...
1. The loss, fragmentation and degradation of habitat everywhere on Earth prompts increasing attention to identifying landscape features that support animal movement (corridors) or impedes it (barriers). Most algorithms used to predict corridors assume that animals move through preferred habitat eit...
| Main Authors: | , , , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2015
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.4v13r https://datadryad.org/stash/dataset/doi:10.5061/dryad.4v13r |
| Summary: | 1. The loss, fragmentation and degradation of habitat everywhere on Earth prompts increasing attention to identifying landscape features that support animal movement (corridors) or impedes it (barriers). Most algorithms used to predict corridors assume that animals move through preferred habitat either optimally (e.g. least cost path) or as random walkers (e.g. current models), but neither extreme is realistic. 2. We propose that corridors and barriers are two sides of the same coin and that animals experience landscapes as spatiotemporally dynamic corridor-barrier continua connecting (separating) functional areas where individuals fulfil specific ecological processes. Based on this conceptual framework, we propose a novel methodological approach that uses high-resolution individual-based movement data to predict corridor-barrier continua with increased realism. 3. Our approach consists of two innovations. First, we use step selection functions (SSF) to predict friction maps quantifying corridor-barrier ... : dataframeData to replicate analyses in Panzacchi et al 2015, JAEenv_raster_brickraster data needed to make mapsshapefilesshapefiles of the study area needed to perform the analysesData.zipKernelUtilizationDistributionKernel Utilization distribution of winter and calving locationsBBMM_Aust_March_MayBBMM_Aust_March_May.tif is a georeferenced raster that can be visualized in QGIS. It illustrates the results of the Brownian Bridge Movement Model built on wild reindeer locations during the period march-May (i.e. spring migration) ... |
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