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Integrating land cover modeling and adaptive management to conserve endangered species and reduce catastrophic fire risk

Land

By:
, , , , and
DOI: 10.3390/land3030874

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Abstract

Land cover modeling is used to inform land management, but most often via a two-step process, where science informs how management alternatives can influence resources, and then, decision makers can use this information to make decisions. A more efficient process is to directly integrate science and decision-making, where science allows us to learn in order to better accomplish management objectives and is developed to address specific decisions. Co-development of management and science is especially productive when decisions are complicated by multiple objectives and impeded by uncertainty. Multiple objectives can be met by the specification of tradeoffs, and relevant uncertainty can be addressed through targeted science (i.e., models and monitoring). We describe how to integrate habitat and fuel monitoring with decision-making focused on the dual objectives of managing for endangered species and minimizing catastrophic fire risk. Under certain conditions, both objectives might be achieved by a similar management policy; other conditions require tradeoffs between objectives. Knowledge about system responses to actions can be informed by developing hypotheses based on ideas about fire behavior and then applying competing management actions to different land units in the same system state. Monitoring and management integration is important to optimize state-specific management decisions and to increase knowledge about system responses. We believe this approach has broad utility and identifies a clear role for land cover modeling programs intended to inform decision-making.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Integrating land cover modeling and adaptive management to conserve endangered species and reduce catastrophic fire risk
Series title:
Land
DOI:
10.3390/land3030874
Volume
3
Issue:
3
Year Published:
2014
Language:
English
Publisher:
MDPI AG
Publisher location:
Basel, Switzerland
Contributing office(s):
Southeast Climate Science Center
Description:
24 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Land
First page:
874
Last page:
897
Number of Pages:
24