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Acevedo, P.

Publications and source records attributed to Acevedo, P..

2 recordsLinked to original sources

A look at the ground: time lapse camera trapping to determine the composition and abundance of small sized wildlife communities

Micromammals are critical species in the context of ecosystem functioning, assuming a significant role as prey species and environmental engineers. Nevertheless, they present a challenge when developing monitoring programs. As a proof of concept, a time-lapse based camera-trapping non-invasive protocol was tested with the application of the Space to Event Model (STE) was determined. The objective of this study was to estimate the density of micromammals in Donana National Park (DNP, Southwest Spain) by comparing estimates against independent ones obtained from capture-mark-recapture (CRM) methodology with a standardized protocol using Sherman traps. The micromammal species richness in the area exhibited a strong correlation with the capture methodology employed. Regarding the estimation of abundance, the densities of micromammals determined by STE were found to be within the range of the estimations of minimum population size determined by CRM. The STE, which was found to be promising, also allowed the determination of the abundance of other small-sized terrestrial wildlife, such as reptiles. Our findings indicate its potential for camera trap multi-species monitoring. In terms of practicability, field and data processing efforts for STE are both viable and will continue to improve as new automatic identification tools are incorporated. It is imperative that the STE protocols are examined in a series of study areas exhibiting varying micromammal densities and species compositions, in addition to other small-sized terrestrial wildlife.

ecology↗

Using integrated wildlife monitoring for quantifying the impact of emerging Bagaza virus in red-legged partridges in Portugal, 2012-2024

Bagaza virus, a vector-borne flavivirus that causes significant mortality in wild bird species, emerged in Portugal in September 2021. This study used integrated wildlife monitoring to quantify its impact on a natural population of red-legged partridge (Alectoris rufa) in southern Portugal. We constructed a baseline model of population dynamics prior to the outbreak (2012-2021) and used this model to predict population size in subsequent years (2022-2024). This model, which included population abundance and demographic data of red-legged partridge, as well as climatic variables, showed a strong fit to the observed data, and the difference between the predicted and observed population size in 2022 suggests a Bagaza-induced mortality rate of at least 59% (95% CI 52-66%). In addition to enabling the adaptive management of populations, our results demonstrate that integrated wildlife monitoring offers epidemiological insights for risk assessment, highlighting its role in proactive wildlife disease surveillance within the One Health framework.

ecology↗