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Ecosystem managers can learn from past successes
Author(s) -
Nuttle William K.
Publication year - 2000
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/00eo00205
Subject(s) - set (abstract data type) , politics , ecosystem , environmental resource management , management science , ecosystem services , business , computer science , risk analysis (engineering) , political science , engineering , ecology , economics , law , biology , programming language
Can ecosystem managers rely on mechanistic simulation models to guide their decisions? Regional ecosystem restoration efforts in the United States now resemble the large public works projects of past decades, with similar costs and requirements to foster broad public and political support. Because managers use simulation models to set priorities and regulate human activities, problems with implementing and maintaining these models can derail their best efforts. If the models are perceived as unreliable, the public can reasonably question the validity of these decisions. When problems with the models persist, confidence erodes in the science‐based approach that is widely touted as the solution to increasingly complex and politically charged environmental issues.

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