We just launched a new version of our map page, with several big improvements. Check out this video to see the new version in action, or create a new map to test it out. Let us know what you think about the changes!
The Conservation Biology Institute Climate Center points to the most popular and recent climate change datasets, and facilitates access to case studies and current news.
Take a tour
Climate Center information is used by thousands of interested citizens, students & educators, natural resource practitioners, and scientists from diverse sectors and geographies.
Find out more

Climate News

  • Aug 16 - Warming may help or hurt invasives depending on how they interact with enemies and competitors
    “Enemy release” occurs when an invader is less affected by local pathogens, parasites, herbivores, or predators than the native species that evolve with them. Fey et al. (new paper in Ecology) show through a modeling exercise and field experiment that variable temperature sensitivities between sunfish and Daphnia can cause temperature-dependent enemy release.

    Read More: http://www.esajournals.org/doi/abs/10.1890/13-1799.1

    Source: Samuel B. Fey, Cristina M. Herren. Temperature-mediated biotic interactions influence enemy release of nonnative species in warming environments. Ecology, 2014; 95 (8): 2246 DOI: 10.1890/13-1799.1
  • Jul 23 - Sensitivity of Indigenous community health to climate change impacts on Salish Sea shorelines
    Current climate change assessments omit key community health concerns, which are vital to successful adaptation plans, particularly for Indigenous communities. Descriptive scaling techniques, employed in facilitated workshops with two Indigenous communities, tested the efficacy of ranking six key indicators of community health in relation to projected impacts to shellfish habitat and shoreline archaeological sites stemming from changes in the biophysical environment. Findings demonstrate that: when shellfish habitat and archaeological resources are impacted, so is Indigenous community health; not all community health indicators are equally impacted; and, the community health indicators of highest concern are not necessarily the same indicators most likely to be impacted.

    Source: Jamie Donatuto, Eric E. Grossman, John Konovsky, Sarah Grossman & Larry W. Campbell (2014) Indigenous Community Health and Climate Change: Integrating Biophysical and Social Science Indicators, Coastal Management, 42:4, 355-373.

  • Jul 23 - Rainfall and winter temperature drive bird distribution
  • Jul 17 - Resilient Network of Conservation Lands in the Northwest
  • Jul 2 - Severe weather is forcing farmers to innovate and invest in new technology

Climate Change Datasets

Explore Popular Datasets
Explore Recent Datasets
Global Freshwater Crisis

Freshwater systems around the globe are currently experiencing various levels of stress due to human activities such that nearly 80% of the world’s population is currently vulnerable to water scarcity and associated aquatic biodiversity is threatened. Vörösmarty et al. (2010) studied and mapped 23 stressors that threaten water quality and ...

Amazonian Rainforest

The tropical forests of the Amazon Basin are at risk not only from climate change, but also from interactions between deforestation and alterations in fire regimes. Deforestation in the Brazilian Amazon closely follows road construction due to the inaccessibility and remoteness of Amazon forests. Associated with deforestation is the human use of fire to ...

Sea Level Rise

The Pacific Northwest coast includes a wide diversity of coastal habitats from including bluffs, sandy beaches, coastal marshes, tidal flats and eelgrass beds, supporting myriad species of fish and wildlife as well as local economies and cultural history. These coastal habitat are threatened by various human activities due to continued population ...

Seasonal Fire Forecasting

One notable aspect of the MC1 Dynamic General Vegetation Model (DGVM) is the process-based fire module which simulates fire events and their impact on vegetation through time at regional to global scales. The module was built to explore the response of fire and its impacts to century-long ...

MC1 Dynamic Global Vegetation Model
[ MC1 ](http://sequoia.fsl.orst.edu/dgvm/index.html) is a widely used dynamic global vegetation model (DGVM) that has been used to simulate potential vegetation shifts in California and Alaska, all of North America, and over the entire globe under various climate change scenarios. However, past simulations were run at a scale that is too coarse (e.g., 10km x 10km for the