Understanding animal spatial ecology and habitat preferences is crucial for effective management and conservation strategies in the Anthropocene, an era defined by significant human impact on ecosystems. This chapter examines the factors influencing habitat selection and spatial dynamics of roan antelope within Umfurudzi Recreational Park, using telemetry data collected from October 2016 to March 2019. Seasonal variations were observed, with the roan antelopes occupying a larger range during the dry season (118.8 km2) compared to the wet season (85.9 km2). Advanced modelling techniques, including Random Forest and Gradient Boosting Model, were employed to predict roan antelope distribution, achieving high model accuracy (True Skill Statistic >0.87 and area under the curve >0.97). The ensemble model effectively captured 98% of the variability in distribution patterns, with an exemplary predictive accuracy (AUC = 0.99, TSS = 0.92). Key environmental and anthropogenic factors such as proximity to mining activities, presence of other herbivores such as kudu and zebra, and availability of water sources, notably dams, were identified as significant determinants of spatial usage. These insights are essential for framing more informed, data-driven approaches to wildlife conservation and sustainable ecosystem management in the Anthropocene.

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Herbivore Space-Use and Habitat Selection in Human-Mediated Ecosystems: Implications on Restoration Initiatives

  • Victor K. Muposhi,
  • Mkululi Ndlovu,
  • Kudzai S. Mpakairi,
  • Keoikantse Sianga,
  • Admire Chanyandura,
  • Chiedza C. Zembe,
  • Gregory Chiyangwa

摘要

Understanding animal spatial ecology and habitat preferences is crucial for effective management and conservation strategies in the Anthropocene, an era defined by significant human impact on ecosystems. This chapter examines the factors influencing habitat selection and spatial dynamics of roan antelope within Umfurudzi Recreational Park, using telemetry data collected from October 2016 to March 2019. Seasonal variations were observed, with the roan antelopes occupying a larger range during the dry season (118.8 km2) compared to the wet season (85.9 km2). Advanced modelling techniques, including Random Forest and Gradient Boosting Model, were employed to predict roan antelope distribution, achieving high model accuracy (True Skill Statistic >0.87 and area under the curve >0.97). The ensemble model effectively captured 98% of the variability in distribution patterns, with an exemplary predictive accuracy (AUC = 0.99, TSS = 0.92). Key environmental and anthropogenic factors such as proximity to mining activities, presence of other herbivores such as kudu and zebra, and availability of water sources, notably dams, were identified as significant determinants of spatial usage. These insights are essential for framing more informed, data-driven approaches to wildlife conservation and sustainable ecosystem management in the Anthropocene.