12,000

We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK

93%

93% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > The cost-effectiveness of biodiversity surveys ...
View graph of relations

« Back

The cost-effectiveness of biodiversity surveys in tropical forests.

Research output: Contribution to journalJournal article

Published

  • Toby A. Gardner
  • Ivanei S. Araujo
  • Teresa Cristina Ávila-Pires
  • Alexandre B. Bonaldo
  • Joana E. Costa
  • Maria Cristina Esposito
  • Leandro V. Ferreira
  • Joseph Hawes
  • Malva I. M. Hernandez
  • Marinus S. Hoogmoed
  • Rafael N. Leite
  • Nancy F. Lo-Man-Hung
  • Jay R. Malcolm
  • Marlucia B. Martins
  • Luiz A. M. Mestre
  • Ronildon Miranda-Santos
  • William L. Overal
  • Sandra L. Peters
  • Marco Antônio Ribeiro-Junior
  • Maria N. F. da Silva
  • Catarina da Silva Motta
  • Carlos A. Peres
Journal publication date02/2008
JournalEcology Letters
Journal number2
Volume11
Number of pages12
Pages139-150
Original languageEnglish

Abstract

The identification of high-performance indicator taxa that combine practical feasibility and ecological value requires an understanding of the costs and benefits of surveying different taxa. We present a generic and novel framework for identifying such taxa, and illustrate our approach using a large-scale assessment of 14 different higher taxa across three forest types in the Brazilian Amazon, estimating both the standardized survey cost and the ecological and biodiversity indicator value for each taxon. Survey costs varied by three orders of magnitude, and dung beetles and birds were identified as especially suitable for evaluating and monitoring the ecological consequences of habitat change in our study region. However, an exclusive focus on such taxa occurs at the expense of understanding patterns of diversity in other groups. To improve the cost-effectiveness of biodiversity research we encourage a combination of clearer research goals and the use of an objective evidence-based approach to selecting study taxa.