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- Measuring ecological connectivity with ecological distance and dynamic . . .
A resistant kernel (Compton et al 2007) was then calculated across this surface for every pixel, representing the capacity for organisms to move from the focal pixel to surrounding pixels with similar ecological attributes
- Comparison of Least-cost Path and UNICOR Cumulative Resistant Kernel . . .
In this study, we used least-cost path and UNICOR cumulative resistant kernel analyses to simulate the ecological connectivity network across the Luohe Region of China, and used the results to prioritize ecological connectivity network linkages and core areas
- Cell-based metrics - Fragstats
FRAGSTATS implements resistant kernels, defined by the combination of kernel shape and width along with a resistant surface, in cell-level metrics as a means of defining the ecological neighborhood of a focal cell for ecological processes in which resistance to flow is relevant
- Connectivity modelling in conservation science: a comparative . . .
With this simulated data, we test the predictive abilities of three major connectivity models: factorial least-cost paths, resistant kernels, and Circuitscape
- A resistant-kernel model of connectivity for amphibians that breed in . . .
The model was based on a modification of the kernel estimator (a density estimator commonly used in home range studies) that takes landscape resistance into account
- Multiscale resistant kernel surfaces derived from inferred gene flow . . .
Here, we model multiscale layer landscape resistance surfaces to estimate resistance to inferred gene flow for two vernal pool breeding salamander species, spotted (Ambystoma maculatum) and marbled (A opacum) salamanders
- A resistant-kernel model of connectivity for amphibians that breed in . . .
The model was based on a modification of the kernel estimator (a density estimator commonly used in home range studies) that takes landscape resistance into account
- A Resistant-Kernel Model of Connectivity for Amphibians that . . . - JSTOR
The model was based on a modification of the kernel estimator (a density estimator commonly used in home range studies) that takes landscape resistance into account
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