Published July 28, 2022 | Version v1
Dataset Open

Data from: Integrating herbivore assemblages and woody plant cover in an African savanna to reveal how herbivores respond to ecosystem management

  • 1. Department of Ecology, Evolution, and Marine Biology, University of California Santa Barbara, Santa Barbara, CA, USA
  • 2. School of Geographical Sciences and Urban Planning and Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ
  • 3. South African Environmental Observation Network, Ndlovu Node, Scientific Services, Kruger National Park, Private Bag X1021, Phalaborwa 1390, South Africa

Description

African savannas are experiencing anthropogenically-induced stressors that are accelerating the increase of woody vegetation cover. To combat this, land managers frequently implement large-scale clearing of trees, which can have a cascading influence on mammalian herbivores. Studies rarely focus on how differences in woody cover influence the herbivore assemblage, making it difficult to assess how aggressive measures, or the lack of management, to counteract increasing woody cover affect the local composition and biodiversity of herbivores. We address this knowledge gap by applying a model-based clustering approach to field observations from to identify multiple herbivore–vegetation ‘configurations,’ defined as unique sets of herbivore assemblages (i.e., groups of herbivores) associated with differing woody plant covers. Our approach delineated how tree-clearing influences the distribution and abundance of the herbivore community in relation to surrounding savanna areas, which represent a natural mosaic of varying woody cover. Regardless of season, both intensively managed areas cleared of trees and unmanaged areas with high tree cover contained configurations that had depauperate assemblages of herbivores (low species richness, low abundance). By contrast, habitats with intermediate cover of woody vegetation had much higher richness and abundance. These results have substantial implications for managing African savannas in a rapidly changing climate.

Notes

This manuscript includes the analysis of data pertaining to certain at-risk species and is therefore considered sensitive data. Thus, to protect these species and abide by ethical data management, these data have been removed from the datasets (dry_configs.csv and wet_configs.csv). Please contact the corresponding author for more information.

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