7 research outputs found

    Dispersal dynamics of juvenile Secretarybirds Sagittarius serpentarius in southern Africa

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    Knowledge of the dispersal behaviour of southern Africa’s juvenile Secretarybirds Sagittarius serpentarius was previously limited to a small number of ring recoveries (n = 4) in South Africa. From 2012 to 2015, 10 GSM-GPS solar trackers were fitted to juvenile Secretarybirds, aged approximately eight weeks, on their nests. The birds spent an average of 91.30 ± 8.80 d in their natal territories, which had a mean home range size (kernel density estimate 90%) of 1.21 ± 0.34 km2. As they aged, their exploratory movements around the nest expanded exponentially. During this period, exploratory activity peaked between 09:00 and 12:00. They showed high variability in maximum distance travelled from the nest and timing of dispersal from their natal territories. Most of the birds (n = 7) dispersed >150 km from their nests before returning to their natal region, suggesting the existence of natal philopatry in this species. The age of first breeding for a male Secretarybird was also confirmed during this study. The wide-ranging behaviour of juvenile Secretarybirds exposes them to a diverse range of threats, and a better understanding of their movements will aid the development of appropriate conservation strategies for this terrestrial raptor.Keywords: dispersal, home range, juvenile, Secretarybird, trackin

    Short Note: Challenges in nest monitoring of White-winged Flufftails Sarothrura ayersi in Ethiopia

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    The Critically Endangered White-winged Flufftail Sarothrura ayresi is only known to breed in the high-altitude wetlands of Ethiopia and South Africa. Several studies have documented the physical properties of nests in the well-known Berga wetland, Ethiopia; however, behavioural accounts of birds at these nests are limited. Remote monitoring techniques have revolutionised the ability to detect and observe elusive species, such as wetland rallids. We discuss the challenges experienced during a pilot study to collect observations at nests of White-winged Flufftails on the breeding grounds in Ethiopia. Lessons learnt from placement of camera traps at nest sites and conservation implications for future monitoring are discussed and guidelines for camera trap deployment are provided. Keywords: Critically Endangered, conservation, monitoring, northeastern Africa, wetland, White-winged Flufftai

    Identifying the origin of lead poisoning in white-backed vulture (Gyps africanus) chicks at an important South African breeding colony : a stable lead isotope approach

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    Please read abstract in the article.The Isdell Family Foundation and the Mary Oppenheimer and Daughters Foundation. The MC-ICP-MS at the University of Johannesburg has been funded by an NRF-NEP and is supported by DSI-NRF CIMERA. Marlina Elberg acknowledges support from NRF IPRR.http://link.springer.com/journal/113562023-09-27hj2023Paraclinical SciencesZoology and Entomolog

    The bii4africa dataset of faunal and floral population intactness estimates across Africa’s major land uses

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    International audienceSub-Saharan Africa is under-represented in global biodiversity datasets, particularly regarding the impact of land use on species' population abundances. Drawing on recent advances in expert elicitation to ensure data consistency, 200 experts were convened using a modified-Delphi process to estimate 'intactness scores': the remaining proportion of an 'intact' reference population of a species group in a particular land use, on a scale from 0 (no remaining individuals) to 1 (same abundance as the reference) and, in rare cases, to 2 (populations that thrive in human-modified landscapes). The resulting bii4africa dataset contains intactness scores representing terrestrial vertebrates (tetrapods: ±5,400 amphibians, reptiles, birds, mammals) and vascular plants (±45,000 forbs, graminoids, trees, shrubs) in sub-Saharan Africa across the region's major land uses (urban, cropland, rangeland, plantation, protected, etc.) and intensities (e.g., large-scale vs smallholder cropland). This dataset was co-produced as part of the Biodiversity Intactness Index for Africa Project. Additional uses include assessing ecosystem condition; rectifying geographic/ taxonomic biases in global biodiversity indicators and maps; and informing the Red List of Ecosystems

    bii4africa dataset

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    The bii4africa dataset is presented in a multi-spreadsheet .xlsx file. The raw data spreadsheet (‘Scores_Raw’) includes 31,313 individual expert estimates of the impact of a sub-Saharan African land use on a species response group of terrestrial vertebrates or vascular plants. Estimates are reported as intactness scores - the remaining proportion of an ‘intact’ reference (pre-industrial or contemporary wilderness area) population of a species response group in a land use, on a scale from 0 (no individuals remain) through 0.5 (half the individuals remain), to 1 (same as the reference population) and, in limited cases, to 2 (two or more times the reference population). For species that thrive in human-modified landscapes, scores could be greater than 1 but not exceeding 2 to avoid extremely large scores biasing aggregation exercises. Expert comments are included alongside respective estimates

    bi4africa dataset - open source

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    The bii4africa dataset is presented in a multi-spreadsheet .ods file. The raw data spreadsheet (‘Scores_Raw’) includes 31,313 individual expert estimates of the impact of a sub-Saharan African land use on a species response group of terrestrial vertebrates or vascular plants. Estimates are reported as intactness scores - the remaining proportion of an ‘intact’ reference (pre-industrial or contemporary wilderness area) population of a species response group in a land use, on a scale from 0 (no individuals remain) through 0.5 (half the individuals remain), to 1 (same as the reference population) and, in limited cases, to 2 (two or more times the reference population). For species that thrive in human-modified landscapes, scores could be greater than 1 but not exceeding 2 to avoid extremely large scores biasing aggregation exercises. Expert comments are included alongside respective estimates
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