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Brook Trout Probability of Occurrence, Plus 4 degrees C, Northeast U.S.

Dates

Creation
2017-07-13 18:19:28
Last Update
2017-09-21 14:57:28
Publication Date
2017-05-01

Citation

North Atlantic Landscape Conservation Cooperative(Point of Contact), Benjamin Letcher(Principal Investigator), 2017-07-13(creation), 2017-09-21(lastUpdate), 2017-05-01(Publication), Brook Trout Probability of Occurrence, Plus 4 degrees C, Northeast U.S.

Summary

This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence) for catchments smaller than 200 km2 in the Northeast and Mid-Atlantic region from Virginia to Maine. The dataset provides predictions under current environmental conditions and for future increases in stream temperature. Brook Trout probability of occurrence (under current climate) is one input used in developing “Lotic Core Areas, Stratified [...]

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Purpose

This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence) for catchments smaller than 200 km2 in the Northeast and Mid-Atlantic region from Virginia to Maine. The dataset provides predictions under current environmental conditions and for future increases in stream temperature. In the context of Nature’s Network, this dataset is primarily intended to be used in conjunction with the product “Lotic Core Areas, Stratified by Watershed, Northeast U.S.” to better understand the importance of core areas to Brook Trout. The dataset was originally developed for and is part of the Interactive Catchment Explorer (ICE). ICE (http://ice.ecosheds.org/) is a dynamic visualization interface for exploring catchment characteristics and environmental model predictions

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