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Community-driven tree planting greens the neighbouring landscape.
Buxton, Joshua; Powell, Tom; Ambler, John; Boulton, Chris; Nicholson, Arwen; Arthur, Rudy; Lees, Kirsten; Williams, Hywel; Lenton, Timothy M.
Afiliação
  • Buxton J; Global Systems Institute, University of Exeter, Exeter, UK. j.buxton@exeter.ac.uk.
  • Powell T; Global Systems Institute, University of Exeter, Exeter, UK.
  • Ambler J; The International Small Group and Tree Planting Program, Vinalhaven, USA.
  • Boulton C; Global Systems Institute, University of Exeter, Exeter, UK.
  • Nicholson A; Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter, UK.
  • Arthur R; Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter, UK.
  • Lees K; Global Systems Institute, University of Exeter, Exeter, UK.
  • Williams H; Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter, UK.
  • Lenton TM; Global Systems Institute, University of Exeter, Exeter, UK.
Sci Rep ; 11(1): 18239, 2021 09 14.
Article em En | MEDLINE | ID: mdl-34521871
ABSTRACT
Nature-based solutions to climate change are growing policy priorities yet remain hard to quantify. Here we use remote sensing to quantify direct and indirect benefits from community-led agroforestry by The International Small group and Tree planting program (TIST) in Kenya. Since 2005, TIST-Kenya has incentivised smallholder farmers to plant trees for agricultural benefit and to sequester CO2. We use Landsat-7 satellite imagery to examine the effect on the historically deforested landscape around Mount Kenya. We identify positive greening trends in TIST groves during 2000-2019 relative to the wider landscape. These groves cover 27,198 ha, and a further 27,750 ha of neighbouring agricultural land is also positively influenced by TIST. This positive 'spill-over' impact of TIST activity occurs at up to 360 m distance. TIST also benefits local forests, e.g. through reducing fuelwood and fodder extraction. Our results show that community-led initiatives can lead to successful landscape-scale regreening on decadal timescales.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido