Overview The identities of organisms profoundly influence ecosystems, and microbial diversity is vast. The obvious disconnect between this diversity and its treatment in C cycling models is perhaps the best manifestation of the common complaint that so much physiology, taxonomy, ecology, and diversity is ignored when microbial communities are described Read more…
Overview Using a technique called data-assimilation, we can inform existing ecosystem models with measurements from field experiments. In combination with meta-analysis, this approach becomes a powerful statistical tool to improve our predictions of ecosystem responses to global change. We recently used data-assimilation to study the effect of warming and CO2 enrichment on Read more…
Overview Over the past several decades, scientists have conducted hundreds of experiments investigating responses of ecosystems to global environmental change. Ecoss synthesizes many of these responses using a statistical technique called meta-analysis. This approach considers all the measurements together and quantifies the overall response, testing whether responses vary among ecosystems, Read more…
Overview Most global change research focuses on individual components, but the environment is changing in multiple ways simultaneously. The Jasper Ridge Global Change Experiment seeks to find out how these combined changes will affect ecosystems. Researchers tested the response of a California grassland to: climate change elevated atmospheric carbon dioxide Read more…
Permafrost Carbon Network
Thousands of researchers worldwide are studying how global change affects ecosystems. Using models and field experiments, they add to our understanding of this area each day. However, individual studies sometimes only tell part of the whole story. By combining results from large numbers of studies, we can discern large-scale patterns across ecosystems, and make better estimates of how global change will affect our environment. Our work on global change synthesis combines several statistical techniques with modeling approaches. (more…)