A management-oriented framework for selecting metrics used to assess habitat- and path-specific quality in spatially structured populations. (October 2016)

• Record Type: Journal Article
• Authors: Nicol, Sam; Wiederholt, Ruscena; Diffendorfer, Jay E.; Mattsson, Brady J.; Thogmartin, Wayne E.; Semmens, Darius J.; López-Hoffman, Laura; Norris, D. Ryan
• Is Part Of: Ecological indicators. Volume 69(2016)
• Page Start: 792
• Page End: 802
• Publication Date: 2016-10
• Subjects: Spatially structured populations -- Decision theory -- Graph theory -- Occupancy -- Metapopulations -- Perturbation analysis; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2016.05.027
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: To support conservation, we present a framework to select habitat quality metrics. We develop a decision-theoretic framework to guide metric selection for managers. We identify three metric classes based on data needs: graph, occupancy, or demographic. Metric selection should consider management goals, actions, and data availability. Abstract: Mobile species with complex spatial dynamics can be difficult to manage because their population distributions vary across space and time, and because the consequences of managing particular habitats are uncertain when evaluated at the level of the entire population. Metrics to assess the importance of habitats and pathways connecting habitats in a network are necessary to guide a variety of management decisions. Given the many metrics developed for spatially structured models, it can be challenging to select the most appropriate one for a particular decision. To guide the management of spatially structured populations, we define three classes of metrics describing habitat and pathway quality based on their data requirements (graph-based, occupancy-based, and demographic-based metrics) and synopsize the ecological literature relating to these classes. Applying the first steps of a formal decision-making approach (problem framing, objectives, and management actions), we assess the utility of metrics for particular types of management decisions. Our framework can help managers with problem framing, choosing metrics of habitat and pathway quality, and to elucidate the data needs for a particular metric. Our goal is to help managers to narrow the range of suitable metrics for a management project, and aid in decision-making to make the best use of limited resources.