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Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest

Author

Listed:
  • J. H. Lawton

    (NERC Centre for Population Biology, Imperial College, Silwood Park)

  • D. E. Bignell

    (School of Biological Sciences, Queen Mary and Westfield College, University of London
    University of Malaysia Sabah)

  • B. Bolton

    (The Natural History Museum)

  • G. F. Bloemers

    (NERC Centre for Population Biology, Imperial College, Silwood Park
    The Natural History Museum
    Plant Health Group)

  • P. Eggleton

    (The Natural History Museum)

  • P. M. Hammond

    (The Natural History Museum)

  • M. Hodda

    (The Natural History Museum
    Australian National Insect Collection)

  • R. D. Holt

    (Museum of Natural History, University of Kansas)

  • T. B. Larsen

    (358 Coldharbour Lane)

  • N. A. Mawdsley

    (NERC Centre for Population Biology, Imperial College, Silwood Park
    The Natural History Museum
    University of Leeds)

  • N. E. Stork

    (The Natural History Museum
    Cooperative Research Centre for Tropical Rainforest Ecology and Management)

  • D. S. Srivastava

    (NERC Centre for Population Biology, Imperial College, Silwood Park
    University of British Columbia)

  • A. D. Watt

    (Institute of Terrestrial Ecology, Bush Estate)

Abstract

Despite concern about the effects of tropical forest disturbance and clearance on biodiversity1,2, data on impacts, particularly on invertebrates, remain scarce3,4,5,6,7,8. Here we report a taxonomically diverse inventory on the impacts of tropical forest modification at one locality. We examined a gradient from near-primary, through old-growth secondary and plantation forests to complete clearance, for eight animal groups (birds, butterflies, flying beetles, canopy beetles, canopy ants, leaf-litter ants, termites and soil nematodes) in the Mbalmayo Forest Reserve, south-central Cameroon. Although species richness generally declined with increasing disturbance, no one group serves as a good indicator taxon9,10,11,12 for changes in the species richness of other groups. Species replacement from site to site (turnover) along the gradient also differs between taxonomic groups. The proportion of ‘morphospecies’ that cannot be assigned to named species and the number of ‘scientist-hours’ required to process samples both increase dramatically for smaller-bodied taxa. Data from these eight groups indicate the huge scale of the biological effort required to provide inventories of tropical diversity, and to measure the impacts of tropical forest modification and clearance.

Suggested Citation

  • J. H. Lawton & D. E. Bignell & B. Bolton & G. F. Bloemers & P. Eggleton & P. M. Hammond & M. Hodda & R. D. Holt & T. B. Larsen & N. A. Mawdsley & N. E. Stork & D. S. Srivastava & A. D. Watt, 1998. "Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest," Nature, Nature, vol. 391(6662), pages 72-76, January.
  • Handle: RePEc:nat:nature:v:391:y:1998:i:6662:d:10.1038_34166
    DOI: 10.1038/34166
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    Cited by:

    1. Yuxin Qi & Yuandong Hu, 2024. "Spatiotemporal Variation and Driving Factors Analysis of Habitat Quality: A Case Study in Harbin, China," Land, MDPI, vol. 13(1), pages 1-21, January.
    2. Benjamin T. Phalan, 2018. "What Have We Learned from the Land Sparing-sharing Model?," Sustainability, MDPI, vol. 10(6), pages 1-24, May.
    3. Andreas Freytag & Christoph Vietze, 2013. "Can nature promote development? The role of sustainable tourism for economic growth," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 2(1), pages 16-44, March.
    4. Juutinen, Artti & Monkkonen, Mikko, 2004. "Testing alternative indicators for biodiversity conservation in old-growth boreal forests: ecology and economics," Ecological Economics, Elsevier, vol. 50(1-2), pages 35-48, September.
    5. Nghiem, Nhung, 2014. "Optimal rotation age for carbon sequestration and biodiversity conservation in Vietnam," Forest Policy and Economics, Elsevier, vol. 38(C), pages 56-64.
    6. Poonam Tripathi & Mukund Dev Behera & Partha Sarathi Roy, 2017. "Optimized grid representation of plant species richness in India—Utility of an existing national database in integrated ecological analysis," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-13, March.
    7. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    8. Ranjith P. Udawatta & Lalith Rankoth & Shibu Jose, 2019. "Agroforestry and Biodiversity," Sustainability, MDPI, vol. 11(10), pages 1-22, May.
    9. A.S. Duden & P.A. Verweij & A.P.C. Faaij & D. Baisero & C. Rondinini & F. van der Hilst, 2020. "Biodiversity Impacts of Increased Ethanol Production in Brazil," Land, MDPI, vol. 9(1), pages 1-17, January.
    10. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.

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