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Assessing ecosystem service trade-offs and synergies: The need for a more mechanistic approach
Author(s) -
Marie C. Dade,
Matthew G. E. Mitchell,
Clive McAlpine,
Jonathan R. Rhodes
Publication year - 2018
Publication title -
ambio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.564
H-Index - 127
eISSN - 1654-7209
pISSN - 0044-7447
DOI - 10.1007/s13280-018-1127-7
Subject(s) - ecosystem services , ecosystem , service (business) , environmental resource management , process (computing) , business , ecosystem management , inference , ecology , computer science , environmental science , marketing , biology , artificial intelligence , operating system
Positive (synergistic) and negative (trade-off) relationships among ecosystem services are influenced by drivers of change, such as policy interventions and environmental variability, and the mechanisms that link these drivers to ecosystem service outcomes. Failure to account for these drivers and mechanisms can result in poorly informed management decisions and reduced ecosystem service provision. Here, we review the literature to determine the extent to which drivers and mechanisms are considered in assessments of ecosystem service relationships. We show that only 19% of assessments explicitly identify the drivers and mechanisms that lead to ecosystem service relationships. While the proportion of assessments considering drivers has increased over time, most of these studies only implicitly consider the drivers of ecosystem service relationships. We recommend more assessments explicitly identify drivers of trade-offs and synergies, which can be achieved through a greater uptake of causal inference and process-based models, to ensure effective management of ecosystem services.

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