Filters: partyWithName: North Atlantic Landscape Conservation Cooperative (X) > partyWithName: Northeast Climate Adaptation Science Center (X)
Folder: ROOT ( Show direct descendants )
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This project brings together the major partners involved in road-stream crossings to assess river and stream continuity and set priorities for restoring connectivity, and reducing flood damage to road crossings, within the North Atlantic region.
Categories: Data,
Project;
Tags: Applications and Tools,
Applications and Tools,
Conservation Planning,
Conservation Planning,
Federal resource managers,
This project highlights the potential for LCCs to facilitate collaboration among conservation practitioners and research scientists to plan for the future. A team of UMass scientists is developing a landscape change, assessment and design model to assess ecosystems and their capacity to sustain populations of wildlife in the northeastern U.S. in the face of urban growth, climate change, and other stressors. The project plays a major role in developing the science and data for two collaborative landscape planning and design efforts: 1) the pilot Landscape Conservation Design for the Connecticut River Watershed, and 2) Nature’s Network, which expands and elaborates on the data to extend to throughout New England and...
Coastal change is an important issue for all coastal regions of the LCC Network, yet there are vast differences in the tools and information available across coastal regions. While the key uncertainties may differ across the Network, all coastal LCCs have been working to advance coastal resilience and adaptation. In some coastal areas, there are significant resources available to communities to understand coastal change and the discussions are now focused upon adaptation and incorporating natural resource considerations. In other regions, few tools exist for either communities or resource managers to address observed and predicted coastal change. The ultimate goal for LCCs is to have decision makers informed about...
Categories: Data,
Project;
Tags: 2015,
Federal resource managers,
Informing Conservation Delivery,
LCC,
LCC Network Science Catalog,
This is a 30 meter grid that maps upland and wetland wildlife habitats/ecological systems for the Northeastern US, including all 13 states from Maine to Virginia, west to New York, Pennsylvania and West Virginia, and for the Maritime provinces of Canada (Nova Scotia, Prince Edward Island, and New Brunswick) and southeastern Quebec. Mapped habitat types are drawn from the Northeastern Terrestrial Habitat Classification System (NETHCS) and from some ecological system types identifed by Canadian ecologists as being unique to Canada. The NETHCS is based on NatureServe’s Ecological Systems Classification, augmented with additional information from individual state wildlife classifications and other information specific...
Categories: Data;
Types: Citation;
Tags: Canada-Northeast Terrestrial Habitat Map,
Canada-Northeast Terrestrial Habitat Map,
Data,
Ecological systems,
Ecological systems,
Consistent and accurate landscape datasets are important foundational products for ecological analyses and for understanding and anticipating the effects of climate change on forested, agricultural, and freshwater systems across the U.S. and Canada. The objective of this project was to extend an existing terrestrial habitat map of the north Atlantic U.S. to Atlantic Canada and southern Quebec, using and modeling field-collected data combined with national and provincial datasets. This GIS map 1) provides a foundation upon which further research, such as species vulnerability analyses, can advance, 2) allows each relevant state and province to identify terrestrial habitats consistently across borders, 3) allows for...
The objective of this project was to develop tools to assist managers in protecting and restoring streams for brook trout and other aquatic resources in the face of threats such as climate change and development. Summary of Phase 2 of the project (2014-2016):The goal of the second phase of this project was to improve natural resources management by providing effective, flexible, portable, and transparent modeling results and decision support tools to managers. The objectives included: 1) Expand existing tools to additional portions of LCC region a) Extend the stream temperature and stream flow models to the full geographic area of the North Atlantic LCC, plus the headwaters of the Atlantic-draining watersheds (e.g.,...
Categories: Data,
Project;
Tags: 2010,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
ANIMALS/VERTEBRATES,
The impacts from climate change are increasing the possibility of vulnerable coastal species and habitats crossing critical thresholds that could spur rapid and possibly irreversible changes. For species of high conservation concern, improved knowledge of quantitative thresholds could greatly improve management. To meet this need, we synthesized information pertaining to biological responses as tipping points to sea level rise (SLR) and coastal storms for 45 fish, wildlife, and plant species along the U.S. Atlantic and Gulf Coasts and Caribbean through a literature review and expert elicitation. Although these species were selected based on their ecological, economic, and cultural importance, just over half (56%,...
The Northeast United States and Atlantic Canada share many of the same types of forests, wetlands, and natural communities, and from a wildlife perspective the region is one contiguous forest. However, resources are classified and mapped differently on the two sides of the border, creating challenges for habitat evaluation, species modeling, and predicting the effects of climate change. To remedy this, ecologists from The Nature Conservancy collaborated with a committee of scientists from various Canadian institutions to produce the first international map of terrestrial habitats for northeast North America. The project used extensive spatial data on geology, soils, landforms, wetlands, elevation and climate. Additionally,...
ABSTRACTWater temperature is a primary driver of stream ecosystems and commonly forms the basis of stream classifications. Robust models of stream temperature are critical as the climate changes, but estimating daily stream temperature poses several important challenges. We developed a statistical model that accounts for many challenges that can make stream temperature estimation difficult. Our model identifies the yearly period when air and water temperature are synchronized, accommodates hysteresis, incorporates time lags, deals with missing data and autocorrelation and can include external drivers. In a small stream network, the model performed well (RMSE D 0:59 °C), identified a clear warming trend (0.63 °C...
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