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Demographic modeling to fine-tune conservation targets: importance of pre-adults for the decline of an endangered raptor

Authors :
Julio Blas
Alessandro Tanferna
Fabrizio Sergio
Fernando Hiraldo
Giacomo Tavecchia
Fundación Jaime González-Gordon
Ministerio de Agricultura, Alimentación y Medio Ambiente (España)
Organismo Autónomo Parques Nacionales (España)
Ministerio de Ciencia, Innovación y Universidades (España)
European Commission
Junta de Andalucía
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2021
Publisher :
John Wiley & Sons, 2021.

Abstract

Large, long-lived species with slow life histories and protracted pre-breeding stages are particularly susceptible to declines and extinction, often for unknown causes. Here, we show how demographic modeling of a medium-sized raptor, the Red Kite Milvus milvus, can aid to refocus conservation research and attention on the most likely mechanisms driving its decline. Red Kites’ survival and reproduction increased through three sequential stages for 1–2, 3–6, and 7–30 yr of age, mainly corresponding to individuals that are dispersing, attempting to gain a territory, and breeding. As typical of long-lived species, elasticities were highest for adult (≥7 yr old) survival, but this was high, with little scope for improvement. Instead, the declines were driven by an extremely low survival of pre-adults in their first years of life, which weakened the whole demographic system by nullifying the offspring contribution of adults and curtailing their replacement by recruits. For example, 27 pairs were necessary to generate a single prime age adult. Simulation of management scenarios suggested that the decline could be halted most parsimoniously by increasing pre-adult survival to the mean levels recorded for other areas, while only the synergistic, simultaneous improvement of breeding success, adult and pre-adult survival could generate a recovery. We propose three actions to attain such goals through selective supplementary feeding of both breeding and non-breeding individuals, and through mortality improvement by GPS remote-sensing devices employed as surveillance monitoring tools. Our results show how improving demographic models by using real, local vital rates rather than “best guess” vital rates can dramatically improve model realism by refocusing attention on the actual stages and mortality causes in need of manipulation, thus building precious time and resources for conservation management. These results also highlight the frequent key role of pre-adult survival for the management of long-lived species, coherent with the idea of demographic systems as integrated chains only as strong as their weakest link.<br />This study was funded by the Foundation Jaime González-Gordon and by the research projects 1602/2015 of the Spanish Ministry of Agriculture, Food and the Environment (Autonomous Organism of National Parks), PGC2018-095860-B-I00 of the Ministry of Science, Innovation and Universities with Feder Funds, and P18-FR-4239 of the Andalucía Autonomous Region (Consejería de Economía, Conocimiento, Empresas y Universidad).

Details

Database :
OpenAIRE
Journal :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.doi.dedup.....a37524e55c81dfabc1618f593d1a27df