Acoustic species distribution models (aSDMs): A framework to forecast shifts in calling behaviour under climate change
Species distribution models (SDMs) are a key tool for biogeography and climate change research, although current approaches have some significant drawbacks. The use of species occurrence constrains predictions of correlative models, while there is a general lack of eco-physiological data to develop...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/278883 |
| Acceso en línea: | http://hdl.handle.net/10261/278883 |
| Access Level: | acceso abierto |
| Palabra clave: | Animal behaviour Bioacoustics Biogeography Climate change Ecoacoustics Ecological niche Environmental suitability Passive acoustic monitoring http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
| Sumario: | Species distribution models (SDMs) are a key tool for biogeography and climate change research, although current approaches have some significant drawbacks. The use of species occurrence constrains predictions of correlative models, while there is a general lack of eco-physiological data to develop mechanistic models. Passive acoustic monitoring is an emerging technique in ecology that may help to overcome these limitations. By remotely tracking animal behaviour across species geographical ranges, researchers can estimate the climatic breadth of species activity and provide a baseline for refined predictive models. However, such integrative approach still remains to be developed. |
|---|