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The Desert Landscape Conservation Cooperative (LCC) is a partnership formed and directed by resource management entities as well as interested public and private entities in the Mojave, Sonoran, and Chihuahuan Desert and montane sky island regions of the southwestern United States and northern Mexico. Desert LCC science depends on access to transboundary base datasets. Given the importance of vegetation such as grasslands and riparian vegetation in conservation science, a bi-national, landscape-scale vegetation data layer with classes relevant to Desert LCC research is crucial. One objective of this project is to investigate appropriate methodologies and landscape scales to create a Desert LCC binational land cover...
Categories: Data;
Tags: Academics & scientific researchers,
Aquascalientes,
Arizona,
Baja California,
California,
This project will build a Geographic Information System (GIS) database for the Plains and Prairie Potholes LCC comprised of1) wetland abundance, 2) land cover, 3) primary productivity, and 4) wetness. Ultimately, the database will provide foundational information for future research and will facilitate management and conservation activities for multiple species across the entire LCC.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Conservation Planning,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC,
Habitat similarity index (HSI) values for greater sage-grouse across their western range. HSI values represent the relationship of environmental values at map locations to the multivariate model of minimum requirements for sage-grouse deļ¬ned by land cover, anthropogenic variables, soil, topography, and climate.
Landscape conservation design is an opportunity for the U.S. Fish and Wildlife Service’s National Wildlife Refuge System (NWRS) to work collaboratively with partners to develop and implement a landscape approach that ensures our priority resources will have the capacity to cope with and respond to future change. This research models patterns of climate connectivity to map linkages among protected areas that promote long-term landscape connectivity across Alaska and northwest Canada under projected climate change. Using spatial data on current land use and climate patterns, and circuit theory-based connectivity modeling approaches, this research identifies corridors that follow climate gradients and avoid human modified...
Categories: Data,
Project;
Types: ArcGIS Map Package,
Downloadable;
Tags: Academics & scientific researchers,
Academics & scientific researchers,
Conservation Design,
Conservation Design,
Conservation NGOs,
Appendices excerpted from the “Predicting Future Potential Climate-Biomes for the Yukon, Northwest Territories and Alaska” report.
Monarch butterfly and other pollinators are in trouble. Monarch butterfly habitat— including milkweed host plants and nectar food sources—has declined drastically throughout most of the United States. Observed overwinter population levels have also exhibited a long-term downward trend, suggesting a strong relationship between habitat loss and monarch population declines. Preliminary research results from a U.S. Geological Survey led effort indicate that we need a comprehensive conservation strategy that includes all land types in order to stabilize monarch populations at levels necessary to adequately minimize extinction risk—urban areas will likely play a critical role. This strategy reflects an integrated and...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2015,
2016,
CO-01,
CO-02,
CO-03,
Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2011,
2011,
2012,
2012,
2013,
A strong data foundation is needed to inform science-based decisions for fisheries management at a watershed level. In preparation for a shift towards comprehensive watershed-scale planning, Arizona Game and Fish Department (AGFD) is developing a fisheries data management system with an initial focus on compiling and formatting several hundred thousand fish survey and stocking records. Fish data will be integrated within a Geographic Information System (GIS) by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which will allow for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by state boundaries. In...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
For many species the threats of climate change occur in a context of multiple existing threats. Given the current focus of global change ecology in identifying and understanding species vulnerable to climate change, we performed a global analysis to characterize the multi-threat context for species threatened by climate change. Utilizing 30,053 species from the International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species, we sought to evaluate if species threatened by climate change are more likely threatened by a greater number of non-climatic threats than species not threatened by climate change. Our results show that species threatened by climate change are generally impacted by 21%...
Categories: Data,
Project;
Tags: 2017,
Academics & scientific researchers,
Informing Conservation Delivery,
LCC,
Pacific Islands LCC,
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...
The Mississippi River Basin / Gulf Hypoxia Initiative (MRB/GHI), spearheaded by seven LCCs, is undertaking a strategic and transparent process to create an integrated framework that supports planning, design, configuration, and delivery of wildlife conservation practices within the watershed. This framework consists of multiple quantitative objectives representing three interests (i.e., wildlife, water quality, agriculture), a tiered set of conservation strategies to achieve those objectives within five production agriculture systems (i.e., corn & soybean; grazing lands; floodplain forest; rice; cotton), and a modeling approach to determine where to best implement those actions within four key ecological systems...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
2014,
2015,
AR-01,
CO-04,
Consistent transboundary geospatial datasets are a key piece of data in landscape health analysis. The CMP has collected, compiled, and synthesize data from a number of sources in the CCE. The initial data mining effort was for the year c2000, and there is an ongoing effort to update the geospatial datasets available for the CCE to understand both spatial and temporal landuse and landcover trends. To see information on the data mining effort for c2000 please see the Data Mining Report found in this folder
These present data on sediment carbon within submerged aquatic vegetation beds from fresh to saline coastal locations in Barataria Bay, Louisiana. Water quality, site location, vegetation biomass and species composition are presented. This project was co-funded by the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives and the South Central Climate Adaptation Science Center. An alternate reference to this product can be found here: https://doi.org/10.5066/F7QZ2853.
Numerous studies show that ongoing climate change will have major effects on the distribution and conservation status of much of our biodiversity. Resource managers urgently need a means to identify which species and habitats are most vulnerable to decline in order to direct resources where they will be most effective. To address this need, NatureServe and Heritage Program collaborators have developed a Climate Change Vulnerability Index (CCVI) to provide a rapid, scientifically defensible assessment of species’ vulnerability to climate change. The CCVI integrates information about exposure to altered climates and species-specific sensitivity factors known to be associated with vulnerability to climate change. This...
Categories: Data,
Project;
Tags: 2010,
2011,
Academics & scientific researchers,
Applications and Tools,
Applications and Tools,
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