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Conserving Ecosystem Diversity in the Tropical Andes

Authors :
Patrick J. Comer
Jose Valdez
Henrique M. Pereira
Cristina Acosta-Muñoz
Felipe Campos
Francisco Javier Bonet García
Xavier Claros
Lucia Castro
Franciscio Dallmeier
Enrique Yure Domic Rivadeneira
Mike Gill
Carmen Josse
Indyra Lafuente Cartagena
Roberto Langstroth
Daniel Larrea-Alcázar
Annett Masur
Gustavo Morejon Jaramillo
Laetitia Navarro
Sidney Novoa
Francisco Prieto-Albuja
Gustavo Rey Ortíz
Marcos F. Teran
Carlos Zambrana-Torrelio
Miguel Fernandez
Source :
Remote Sensing, Vol 14, Iss 12, p 2847 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Documenting temporal trends in the extent of ecosystems is essential to monitoring their status but combining this information with the degree of protection helps us assess the effectiveness of societal actions for conserving ecosystem diversity and related ecosystem services. We demonstrated indicators in the Tropical Andes using both potential (pre-industrial) and recent (~2010) distribution maps of terrestrial ecosystem types. We measured long-term ecosystem loss, representation of ecosystem types within the current protected areas, quantifying the additional representation offered by protecting Key Biodiversity Areas. Six (4.8%) ecosystem types (i.e., measured as 126 distinct vegetation macrogroups) have lost >50% in extent across four Andean countries since pre-industrial times. For ecosystem type representation within protected areas, regarding the pre-industrial extent of each type, a total of 32 types (25%) had higher representation (>30%) than the post-2020 Convention on Biological Diversity (CBD) draft target in existing protected areas. Just 5 of 95 types (5.2%) within the montane Tropical Andes hotspot are currently represented with >30% within the protected areas. Thirty-nine types (31%) within these countries could cross the 30% CBD 2030 target with the addition of Key Biodiversity Areas. This indicator is based on the Essential Biodiversity Variables (EBV) and responds directly to the needs expressed by the users of these countries.

Details

Language :
English
ISSN :
14122847 and 20724292
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.2f939f495a704d95abbe820b641ff9ac
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14122847