Validating climate‐change refugia: empirical bottom‐up approaches to support management actions
| Autor: | Jane E. Rodgers, Toni Lyn Morelli, Constance I. Millar, Cameron W. Barrows, Aaron R. Ramirez, Neil Frakes, Mary F. Mahalovich, Lynn C. Sweet |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Adaptive capacity 010504 meteorology & atmospheric sciences Ecology business.industry Environmental resource management Biodiversity Climate change Top-down and bottom-up design 010603 evolutionary biology 01 natural sciences Geography Habitat Identification (biology) business Independent data Climate extremes Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences |
| Zdroj: | Frontiers in Ecology and the Environment. 18:298-306 |
| ISSN: | 1540-9309 1540-9295 |
| DOI: | 10.1002/fee.2205 |
| Popis: | Efforts to conserve biodiversity increasingly focus on identifying climate‐change refugia – areas relatively buffered from contemporary climate change over time that enable species persistence. Identification of refugia typically includes modeling the distribution of a species’ current habitat and then extrapolating that distribution given projected changes in temperature and precipitation, or by mapping topographic features that buffer species from regional climate extremes. However, the function of those hypothesized refugia must be validated (or challenged) with independent data not used in the initial identification of the refugia. Although doing so would facilitate the incorporation of climate‐change refugia into conservation and management decision making, a synthesis of validation methods is currently lacking. We reviewed the literature and defined four methods to test refugia predictions. We propose that such bottom‐up approaches can lead to improved protected‐area designations and on‐the‐ground management actions to reduce influences from non‐climate stressors within potential refugia. |
| Databáze: | OpenAIRE |
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