Landscape Ecology

, Volume 33, Issue 2, pp 241–255 | Cite as

Inconsistent effects of landscape heterogeneity and land-use on animal diversity in an agricultural mosaic: a multi-scale and multi-taxon investigation

  • Chevonne Reynolds
  • Robert J. FletcherJr.
  • Celine M. Carneiro
  • Nicole Jennings
  • Alison Ke
  • Michael C. LaScaleia
  • Mbhekeni B. Lukhele
  • Mnqobi L. Mamba
  • Muzi D. Sibiya
  • James D. Austin
  • Cebisile N. Magagula
  • Themba’alilahlwa Mahlaba
  • Ara Monadjem
  • Samantha M. Wisely
  • Robert A. McCleery
Research Article
  • 341 Downloads

Abstract

Context

The landscape heterogeneity hypothesis states that increased heterogeneity in agricultural landscapes will promote biodiversity. However, this hypothesis does not detail which components of landscape heterogeneity (compositional or configurational) most affect biodiversity and how these compare to the effects of surrounding agricultural land-use.

Objectives

Our objectives were to: (1) assess the influence of the components of structural landscape heterogeneity on taxonomic diversity; and (2) compare the effects of landscape heterogeneity to those of different types of agricultural land-use in the same landscape across different taxonomic groups.

Methods

We identified a priori independent gradients of compositional and configurational landscape heterogeneity within an agricultural mosaic of north-eastern Swaziland. We tested how bird, dung beetle, ant and meso-carnivore richness and diversity responded to compositional and configurational heterogeneity and agricultural land-use across five different spatial scales.

Results

Compositional heterogeneity best explained species richness in each taxonomic group. Bird and ant richness were both positively correlated with compositional heterogeneity, whilst dung beetle richness was negatively correlated. Commercial agriculture positively influenced bird species richness and ant diversity, but had a negative influence on dung beetle richness. There was no effect of either component of heterogeneity on the combined taxonomic diversity or richness at any spatial scale.

Conclusions

Our results suggest that increasing landscape compositional heterogeneity and limiting the negative effects of intensive commercial agriculture will foster diversity across a greater number of taxonomic groups in agricultural mosaics. This will require the implementation of different strategies across landscapes to balance the contrasting influences of compositional heterogeneity and land-use. Strategies that couple large patches of core habitat across broader scales with landscape structural heterogeneity at finer scales could best benefit biodiversity.

Keywords

Landscape heterogeneity Composition Configuration Land-use Biodiversity Agriculture Africa Scale Conservation 

Notes

Acknowledgements

We are grateful to all the field assistants who helped with the collection of the data and to the land owners who granted permission to work on their properties. We also acknowledge considerable support from All Out Africa and the Savanna Research Centre. This research was funded by an NSF ISE Grant (No. 1459882) and the College of Agriculture and Life Science at the University of Florida.

Supplementary material

10980_2017_595_MOESM1_ESM.docx (683 kb)
Descriptions of landscape metrics. Table S1: Correlations between landscape metrics from land-cover datasets. Table S2: Correlations between landscape metrics. Table S3: Model selection results for each taxon. Table S4: Model selection results for all taxa combined. Table S5: Correlation between landscape diversity and the amount of different land covers. Figure S1: Comparison between land-cover datasets. Figure S2: Correlation plot of heterogeneity components. Figure S3: Species accumulation curves. Figure S4: Graphical model selection. Supplementary material 1 (DOCX 682 kb)

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  • Chevonne Reynolds
    • 1
    • 2
    • 3
  • Robert J. FletcherJr.
    • 1
  • Celine M. Carneiro
    • 1
  • Nicole Jennings
    • 1
  • Alison Ke
    • 4
  • Michael C. LaScaleia
    • 5
  • Mbhekeni B. Lukhele
    • 6
  • Mnqobi L. Mamba
    • 6
  • Muzi D. Sibiya
    • 6
  • James D. Austin
    • 1
  • Cebisile N. Magagula
    • 6
  • Themba’alilahlwa Mahlaba
    • 6
  • Ara Monadjem
    • 6
  • Samantha M. Wisely
    • 1
  • Robert A. McCleery
    • 1
  1. 1.Department of Wildlife Ecology and ConservationUniversity of FloridaGainesvilleUSA
  2. 2.DST/NRF Centre of Excellence at the FitzPatrick Institute of African Ornithology (FIAO)University of Cape TownRondeboschSouth Africa
  3. 3.Statistics in Ecology, Environment and Conservation, Department of Statistical SciencesUniversity of Cape TownRondeboschSouth Africa
  4. 4.Department of Environmental Science, Policy and ManagementUniversity of California at BerkeleyBerkeleyUSA
  5. 5.Department of BiologyTufts UniversityMedfordUSA
  6. 6.Department of Biological SciencesUniversity of SwazilandKwaluseniSwaziland

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