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EGS.data.final.csv text/csv 167.4 KB 11/13/2025 09:06:AM
EGS.metadata.xml application/xml 76.6 KB 11/13/2025 09:03:AM
revision.history.txt text/plain 1.5 KB 11/13/2025 09:03:AM

Project Citation: 

Cushing, Janet A, Weiskopf, Sarah R, Johnson, Ciara G, Delos, Marcy C, and U.S. Geological Survey. Global dataset on the effects of climate change on ecosystem goods and services (EGS) compiled from English language papers published between 2014 and 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-11-13. https://doi.org/10.3886/E240268V1

Project Description

Project Title:  View help for Project Title Global dataset on the effects of climate change on ecosystem goods and services (EGS) compiled from English language papers published between 2014 and 2018
Summary:  View help for Summary Climate change is a pervasive and growing global threat to the supply and demand of ecosystem goods and services that maintain human well-being. A recent review found that the impacts of climate change on ecosystem services are sometimes mixed, posing challenges for managers who need to adapt to these changes. We expand on earlier work by exploring drivers of varying responses of ecosystem services to climate within studies. We conducted a systematic review of English-language papers directly assessing climate change impacts on the supply, demand, or monetary value of ‘provisioning services’, ‘regulating services’, or ‘cultural services’. Ultimately, we extracted data from 44 papers published from December 2014 to March 2018. In addition to recording direct climate impacts, we extracted data regarding climate interactions with non-climate drivers (e.g., land use change), study context (e.g., spatial scale, location, ecosystem) and methodology, characteristics and interactions between services, whether and how uncertainty was assessed, and implications for decision-making. To answer our core research question, we extracted data reflecting drivers of mixed responses (e.g., variation in ecosystem service responses over space, ecosystem service indicators, time periods, or climate change scenarios, models or variables). While biased and constrained by excluding articles published in non-English languages and grey literature, this data spreadsheet compiles summary information and relevant literature for managers, decision-makers, researchers, and planners.

Purpose
The compiled data underlie a synthesis of recent and future climate effects on ecosystem service supply, demand, and monetary value. By integrating information from recent publications, the data spreadsheet and associated synthesis update and extend previous literature reviews (particularly, Runting et al., 2017). The data spreadsheet also represents a literature library of climate impacts on ecosystem services, which can be aggregated or disaggregated by study areas and methodologies, ecosystem service features and interactions, drivers of variation in ecosystem service responses, climate and non-climate driver interactions, uncertainty assessment approaches, and decision-making implications. Research gaps discerned from the data (e.g., described in the synthesis paper) can inform crucial directions for future studies. In addition to supporting analyses that yield valuable summaries for practitioners (e.g., managers, decision-makers, planners), this literature library can be a source of context-relevant case studies for ensuring continued flows of nature’s benefits to people in an uncertain and changing climate.
Original Distribution URL:  View help for Original Distribution URL https://doi.org/10.5066/P1VED5SA

Scope of Project

Subject Terms:  View help for Subject Terms Climatology; Ecology; biota; Environmental Health; climate change; global warming; meta-analysis; ecosystem; goods and services
Geographic Coverage:  View help for Geographic Coverage Middle East, Asia, Europe, Africa, North America, Oceania
Time Period(s):  View help for Time Period(s) 11/1/2014 – 3/15/2018
Data Type(s):  View help for Data Type(s) geographic information system (GIS) data


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