Modelling and projecting the response of local assemblage composition to land use change across Colombia

Susy Echeverría-Londoño, Tim Newbold, Lawrence N. Hudson, Sara Contu, Samantha L.L. Hill, Igor Lysenko, Enrique Arbeláez-Cortés, Inge Armbrecht, Teun Boekhout, Jimmy Cabra-García, Yamileth Dominguez-Haydar, Guiomar Nates-Parra, Doris L. Gutiérrez-Lamus, Diego Higuera, Paola Johanna Isaacs-Cubides, Carlos A. López-Quintero, Eliana Martinez, Daniel Rafael Miranda-Esquivel, Luis Eduardo Navarro-Iriarte, Jorge Ari NoriegaSamuel Eduardo Otavo, Alejandro Parra-H, Katja Poveda, Martha P. Ramirez-Pinilla, Juan Carlos Rey-Velasco, Loreta Rosselli, Allan H. Smith-Pardo, José Nicolás Urbina-Cardona, Andy Purvis

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Aim: Understanding the impact of land use change within assemblages is fundamental to mitigation policies at local and regional scale. Here, we aim to quantify how site-level terrestrial assemblages are responding to land use change in Colombia a mega-diverse country and to project future biodiversity under different scenarios of land use change associated with climate change policies. Location: Colombia (northern South America). Methods: We collated original biodiversity data from 17 publications (285 sites) that examined how human impact affects terrestrial biodiversity in Colombia. From each site we estimated compositional intactness (i.e. compositional similarity to undisturbed sites). We fitted generalized linear mixed-effects models to estimate how these measures of local biodiversity vary across land use habitats. Using space-for-time substitution, we applied our estimates to hindcast biodiversity changes since 1500 and project future changes under climate change policies of the four representative concentration pathways (RCPs). Results: Assemblages in urban, cropland and pasture sites were compositionally very different from those in primary vegetation. We infer that average compositional intactness has been reduced by 18% across Colombia to date, with strong regional variation. The best RCP scenario for future biodiversity is GCAM-RCP4.5, a path that favours the expansion of secondary forests under a strong carbon market; while the worst is MESSAGE-RCP8.5, ‘the business-as-usual’ scenario. Main conclusions: Land use change has driven an increasing change in the composition of ecological assemblages in Colombia. By 2095, the implementation of carbon markets policy of climate change from GCAM-RCP4.5 could mitigate these changes in community composition. In contrast, the business-as-usual scenario MESSAGE-RCP8.5 predicts a steep community change placing the quality of ecosystems at risk.

Original languageEnglish
Pages (from-to)1099-1111
Number of pages13
JournalDiversity and Distributions
Volume22
Issue number11
DOIs
StatePublished - 01 Nov 2016

Keywords

  • GLMM
  • Neotropics
  • PREDICTS project
  • community composition
  • hindcast
  • land use impact
  • representative concentration pathways

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