Filters: Tags: Optimization (X) > partyWithName: U.S. Geological Survey (X)
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Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. The list of plant species used during this project, and number of planning units required to recover each species, are included.
This model archive contains files for a set of groundwater flow, particle tracking, and management optimization models that simulate the area around the Navy-Northrop-Grumman contamination plume on Long Island, New York. These models were developed as in insets from the Long Island Regional “parent” Model, from which perimeter boundary conditions were inherited. In addition to input and output files for these models, this archive contains the modeling workflow python code and source data used to build the model. These materials have been included for repeatability and decision transparency.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bethpage,
Groundwater,
Hydrology,
Long Island,
Long Island West,
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui, Hawaiʻi. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation...
East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. Data include the underlying land-use configuration file, predictive climate models, list of plant species and number of populations to recover/protect, habitat and forest bird distribution information, presence of fencing, land management status, and naming protocol file. We identified a suite of potential conservation footprints...
Multi-species recovery planning can be a challenging natural resource management task. In collaboration with state and federal agencies, and botanical and technical experts, we developed and tested a multi-step optimization process to assist in identifying the minimum climate resilient habitat for the recovery of multiple threatened, endangered, and at-risk plant species across east Maui. The dataset presented here includes all metrics used to consider selection of units for the spatial optimization.
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