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These data accompany task 4 as described in the final report, “Comparability of landscape connectivity products for large-scale landscape planning.”
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, All tags...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population. For most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.
These data accompany task 2 as described in the final report, “Comparability of landscape connectivity products for large-scale landscape planning.”
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, CALIBRATION/VALIDATION, All tags...
These data accompany task 3 as described in the final report, “Comparability of landscape connectivity products for large-scale landscape planning.”
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, CALIBRATION/VALIDATION, All tags...
This project was funded to understand how, where, and why outputs from landscape connectivity models vary, and to suggest approaches to increase comparability and interoperability of models across Landscape Conservation Cooperative boundaries. We began by compiling metadata from 73 landscape connectivity modeling projects into an online, editable spreadsheet. Using spatial data from a subset of studies included in the database, we conducted an uncertainty analysis to understand how much spatial variation there was among predictions from different landscape connectivity models. Raw outputs from the original models showed relatively little overlap, averaging about 3% across all pairs of studies. However, when a common...
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, CALIBRATION/VALIDATION, All tags...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, we initiated research to estimate sightability correction factors (SCF_c) using radiocollared animals to apply to abundance estimates obtained via the GeoSpatial Population Estimator (GSPE) method. The Project Goal is to develop a model that...
Categories: Data, Project; Tags: 2016, Academics & scientific researchers, Academics & scientific researchers, CALIBRATION/VALIDATION, CALIBRATION/VALIDATION, All tags...
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These data accompany task 5 as described in the final report, “Comparability of landscape connectivity products for large-scale landscape planning.”
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, British Columbia, All tags...
Fact sheet about a project funded by the LCC Network to conduct spatial uncertainty and sensitivity analyses to enhance the comparability of landscape connectivity products for large-scale landscape planning.
Categories: Data; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, CALIBRATION/VALIDATION, All tags...
This website accompanies task 1 as described in the final report, “Comparability of landscape connectivity products for large-scale landscape planning.” The website is a compilation of data on recent, ongoing, and planned landscape connectivity modeling studies across the Landscape Conservation Cooperative (LCC) network. As of April 2014, we have compiled data from 73 studies of 116 species. The vast majority of studies use circuit theory or least-cost paths to model connectivity, but other approaches represented in the database include graph theory, resistant kernel models, and models of genetic relatedness.
Categories: Data, Web Site; Tags: BIOSPHERE, BIOSPHERE, BIOSPHERE, BIOSPHERE, CALIBRATION/VALIDATION, All tags...
Lack of complete snow cover for the past 3 winters in southwestern Alaska has forced agencies to postpone conducting moose surveys due to the likelihood of underestimating the population/lack of comparability to previous surveys. Poor snow conditions are known to lower the sightability of moose, yet, for most regions of Alaska, the variation in moose sightability during suboptimal conditions has not yet been quantified. Because scientists are predicting less snowfall in this region over the long term, research was initiated to estimate sightability correction factors (SCFc) to apply to abundance estimates.


    map background search result map search result map Testing a standardized approach to create integrated landscape connectivity maps using the American black bear (Ursus americanus) Testing a standardized approach to create integrated landscape connectivity maps using the American black bear (Ursus americanus)