Roadside conditions as predictor for wildlife crossing probability in a central african rainforest

C.A. van der Hoeven, W.F. de Boer, H.H.T. Prins

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Scopus)

Abstract

The negative effects of roads on wildlife in tropical rainforests are poorly understood. Road construction has high priority in Africa, while negative impacts of roads on wildlife movement often are neglected. This study aims at providing information on the effects of roads on crossing behaviour of rainforest wildlife. The probability that wildlife would cross forest roads was analysed for association with ten different factors that were linked to road presence or construction. Factors were divided into three classes: vegetation cover, topography and human influence. A trackplot survey was done in southern Cameroon, Africa. Trackplots were laid along a 32 km unpaved logging road that intersects Campo-Ma'an National Park. Tracks of several species were found frequently (e.g. genets and porcupines); while others were found only sporadically (e.g. forest duikers and apes). The actual physical obstacles found along the road (e.g. logs, banks, etc.) were highly negatively correlated with crossing probabilities. For all wildlife species high vegetation cover was positively correlated to crossing probability. This study indicates that roads have a large impact on wildlife, and suggests which factors could be altered during road construction and maintenance in order to mitigate these impacts
Original languageEnglish
Pages (from-to)368-377
JournalAfrican Journal of Ecology
Volume48
Issue number2
DOIs
Publication statusPublished - 2010

Keywords

  • chromolaena-odorata
  • northeastern gabon
  • small mammals
  • congo basin
  • land-use
  • community
  • patterns
  • highway

Fingerprint Dive into the research topics of 'Roadside conditions as predictor for wildlife crossing probability in a central african rainforest'. Together they form a unique fingerprint.

Cite this