Filters: Tags: network (X) > Extensions: Project (X)
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We are seeking to better understand networks among resource managers with respect to developing plans for climate change adaptation. We are pursuing this through a network analysis based on a survey of federal resource management staff and scientists in the southwestern and Midwestern U.S. Originally planned, this study was conceived to cover the Southwest and North Central Climate Science Centers, as defined by the USGS. In practice, surveys are most easily distributed within regions as defined by the federal resource agencies. Unfortunately, there is no uniform set of regions. We have tried to be comprehensive in our survey and cover at least the North Central and Southwestern Region.
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2011,
CASC,
Federal,
National CASC,
National CASC,
Landscape Conservation Cooperatives (LCCs) have a critical need for information management processes that facilitate science product (i.e., data, analysis and decision tools, documents) sharing; data storage, security, and dissemination; and project tracking, communication and collaboration tools (Arctic LCC 2010, North Atlantic LCC 2011, Southern Rockies LCC 2011, California LCC 2011). LCCs and their partners are already developing and using a wide variety of data management systems to address LCC and project needs, but the LCC Network and all partners need better coordination across these efforts to develop and share common standards and services, improving the intellectual exchange needed to achieve the LCC mission....
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,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Completed,
Conservation planning,
Data Management and Integration,
Datasets/Database,
Decision support,
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