Using retrospective life tables to assess the effect of extreme climatic conditions on ungulate demography

• Published in: Ecology and evolution 2022-01, Vol.12 (1), p.e8218-n/a
• Main Authors: Peláez, Marta, San Miguel, Alfonso, Rodríguez‐Vigal, Carlos, Moreno‐Gómez, Ángel, García del Rincón, Amanda, Perea García‐Calvo, Ramón
• Format: Article
• Language: English
• Subjects: Age; Age composition; Animal populations; Animal reproduction; cervid; Cervus elaphus; Climate change; Climatic conditions; Data collection; Deer; Demographic projections; Demographics; Demography; Drought; dynamic; Extreme drought; Females; global warming; life table; Life tables; Phenology; population; Population density; Population dynamics; Rain; Tables (data); ungulates
• ISSN: 2045-7758; 2045-7758
• DOI: 10.1002/ece3.8218

In Mediterranean areas, severe drought events are expected to intensify in forthcoming years as a consequence of climate change. These events may increase physiological and reproductive stress of wild populations producing demographic changes and distribution shifts. We used retrospective life tables to understand demographic changes on a wild population after severe drought events. We studied the impact of two extreme events (2003 and 2005) on the population dynamics of our model species, the red deer (Cervus elaphus). During both years, population density was high (40 and 36 ind/100 ha, respectively). Thus, we reconstructed retrospectively the age structure of the female part of the population for the period 2000–2010 by using data of known‐age individuals culled during the period 2000–2019 (n = 4176). Also, based on previous study results, we aimed to validate this methodology. Both extremely dry years, 2003 and 2005, produced marked and lasting cohort effects on population demography. Age pyramid the following years (2004 and 2006) revealed that the extreme drought caused the female fawn cohort to be similar or even smaller than the yearling cohort. Furthermore, these cohort effects were still perceptible 3 years after these severe events. Results agree with previous findings that showed a negative effect of severe drought events on female pregnancy rates and conception dates. Although simple, this study provides an empirical quantification of the demographic effects of severe drought events for a wild population which might be useful to understand future demographic changes under the context of climate change. Retrospective life tables for wild populations of animals might be a useful tool to assess future demographic changes under the context of climate change. Using this methodology, we provided an empirical quantification of the demographic effects of severe drought events for a wild red deer population.