Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72946
Title: Diversity for Restoration (D4R): Guiding the selection of tree species and seed sources for climate-resilient restoration of tropical forest landscapes
Authors: Tobias Fremout
Evert Thomas
Hermann Taedoumg
Siebe Briers
Claudia Elena Gutiérrez-Miranda
Carolina Alcázar-Caicedo
Antonia Lindau
Hubert Mounmemi Kpoumie
Barbara Vinceti
Chris Kettle
Marius Ekué
Rachel Atkinson
Riina Jalonen
Hannes Gaisberger
Stephen Elliott
Esther Brechbühler
Viviana Ceccarelli
Smitha Krishnan
Harald Vacik
Gabriela Wiederkehr-Guerra
Beatriz Salgado-Negret
Mailyn Adriana González
Wilson Ramírez
Luis Gonzalo Moscoso-Higuita
Álvaro Vásquez
Jessica Cerrón
Colin Maycock
Bart Muys
Authors: Tobias Fremout
Evert Thomas
Hermann Taedoumg
Siebe Briers
Claudia Elena Gutiérrez-Miranda
Carolina Alcázar-Caicedo
Antonia Lindau
Hubert Mounmemi Kpoumie
Barbara Vinceti
Chris Kettle
Marius Ekué
Rachel Atkinson
Riina Jalonen
Hannes Gaisberger
Stephen Elliott
Esther Brechbühler
Viviana Ceccarelli
Smitha Krishnan
Harald Vacik
Gabriela Wiederkehr-Guerra
Beatriz Salgado-Negret
Mailyn Adriana González
Wilson Ramírez
Luis Gonzalo Moscoso-Higuita
Álvaro Vásquez
Jessica Cerrón
Colin Maycock
Bart Muys
Keywords: Environmental Science
Issue Date: 1-Mar-2022
Abstract: At the start of the UN Decade of Ecosystem Restoration (2021–2030), the restoration of degraded ecosystems is more than ever a global priority. Tree planting will make up a large share of the ambitious restoration commitments made by countries around the world, but careful planning is needed to select species and seed sources that are suitably adapted to present and future restoration site conditions and that meet the restoration objectives. Here we present a scalable and freely available online tool, Diversity for Restoration (D4R), to identify suitable tree species and seed sources for climate-resilient tropical forest landscape restoration. The D4R tool integrates (a) species habitat suitability maps under current and future climatic conditions; (b) analysis of functional trait data, local ecological knowledge and other species characteristics to score how well species match the restoration site conditions and restoration objectives; (c) optimization of species combinations and abundances considering functional trait diversity or phylogenetic diversity, to foster complementarity between species and to ensure ecosystem multifunctionality and stability; and (d) development of seed zone maps to guide sourcing of planting material adapted to present and predicted future environmental conditions. We outline the various elements behind the tool and discuss how it fits within the broader restoration planning process, including a review of other existing tools. Synthesis and applications. The Diversity for Restoration tool enables non-expert users to combine species traits, environmental data and climate change models to select tree species and seed sources that best match restoration site conditions and restoration objectives. Originally developed for the tropical dry forests of Colombia, the tool has now been expanded to the tropical dry forests of northwestern Peru–southern Ecuador and the countries of Burkina Faso and Cameroon, and further expansion is underway. Acknowledging that restoration has a wide range of meanings and goals, our tool is intended to support decision making of anyone interested in tree planting and seed sourcing in tropical forest landscapes, regardless of the purpose or restoration approach.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119623828&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/72946
ISSN: 13652664
00218901
Appears in Collections:CMUL: Journal Articles

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