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Climate Adaptation Science Centers

From wildfires to sea-level rise, climate change creates evolving challenges for ecosystems across the Nation. The USGS National and Regional Climate Adaptation Science Centers (CASCs) is a partnership-driven program that teams scientists with natural and cultural resource managers and local communities to help fish, wildlife, water, land, and people adapt to a changing climate.

News

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Connecting Alaska’s Algal Blooms to Shellfish Health

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CASC Participation at the 2022 National Adaptation Forum

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Integrating Indigenous Knowledge with Western Science to Confront Climate Change

Publications

Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap

Disturbances elicit both positive and negative effects on organisms; these effects vary in their strength and their timing. Effects of disturbance interval (i.e., the length of time between disturbances) on population growth will depend on both the timing and strength of positive and negative effects of disturbances. Climate change can modify the relative strengths of these positive and negative e

Socioeconomic resilience to climatic extremes in a freshwater fishery

Heterogeneity is a central feature of ecosystem resilience, but how this translates to socioeconomic resilience depends on people’s ability to track shifting resources in space and time. Here, we quantify how climatic extremes have influenced how people (fishers) track economically valuable ecosystem services (fishing opportunities) across a range of spatial scales in rivers of the northern Rocky

A conceptual framework to integrate biodiversity, ecosystem function, and ecosystem service models

Global biodiversity and ecosystem service models typically operate independently. Ecosystem service projections thus may be overly optimistic because they do not account for the role of biodiversity in maintaining ecological functions underpinning their provision. We review models used in recent global model intercomparison projects and develop a novel model integration framework to more fully acc