Developing a decision-support process for landscape conservation design
University of Missouri-Columbia; Gulf-Coastal Plains and Ozarks Landscape Conservation Cooperative, U. S. Fish and Wildlife Service; Northern Research Station, U. S. Forest Service; University of Montana; Central Hardwoods Joint Venture; American Bird Conservancy; Missouri Department of Conservation; Missouri Resource Assessment Partnership; Arkansas Game and Fish Commission; Oklahoma Department of Wildlife Conservation; U.S. Army Engineer Research and Development Center ; Mississippi State University
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Abstract
Planning for sustainable landscapes is hampered by uncertainty in how species will respond to conservation actions amidst impacts from landscape and climate change. Planning decisions, including tradeoffs among competing species objectives, are complex. We developed a decision-support framework that integrates dynamic-landscape metapopulation models (DLMPs) and structured decision making (SDM) to help guide landscape conservation design. With this framework, we demonstrated that planning for viable populations across broad scales can be achieved under global change. Furthermore, the integration of DLMPs with SDM enabled decisions to be more objective and transparent, and thus, more defensible.
| Publication type | Report |
|---|---|
| Publication Subtype | Other Government Series |
| Title | Developing a decision-support process for landscape conservation design |
| Year Published | 2019 |
| Language | English |
| Publisher | U.S. Forest Service, General Technical Report |
| Contributing office(s) | Columbia Environmental Research Center |
| Description | 66 p. |
| Google Analytic Metrics | Metrics page |