Community-driven tree planting greens the neighbouring landscape
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, TIS...
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Nature Portfolio
2021
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oai:doaj.org-article:91891e8ae80744c1adf57b6c11788e222021-12-02T18:02:31ZCommunity-driven tree planting greens the neighbouring landscape10.1038/s41598-021-96973-62045-2322https://doaj.org/article/91891e8ae80744c1adf57b6c11788e222021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96973-6https://doaj.org/toc/2045-2322Abstract 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.Joshua BuxtonTom PowellJohn AmblerChris BoultonArwen NicholsonRudy ArthurKirsten LeesHywel WilliamsTimothy M. LentonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Joshua Buxton Tom Powell John Ambler Chris Boulton Arwen Nicholson Rudy Arthur Kirsten Lees Hywel Williams Timothy M. Lenton Community-driven tree planting greens the neighbouring landscape |
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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. |
format |
article |
author |
Joshua Buxton Tom Powell John Ambler Chris Boulton Arwen Nicholson Rudy Arthur Kirsten Lees Hywel Williams Timothy M. Lenton |
author_facet |
Joshua Buxton Tom Powell John Ambler Chris Boulton Arwen Nicholson Rudy Arthur Kirsten Lees Hywel Williams Timothy M. Lenton |
author_sort |
Joshua Buxton |
title |
Community-driven tree planting greens the neighbouring landscape |
title_short |
Community-driven tree planting greens the neighbouring landscape |
title_full |
Community-driven tree planting greens the neighbouring landscape |
title_fullStr |
Community-driven tree planting greens the neighbouring landscape |
title_full_unstemmed |
Community-driven tree planting greens the neighbouring landscape |
title_sort |
community-driven tree planting greens the neighbouring landscape |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/91891e8ae80744c1adf57b6c11788e22 |
work_keys_str_mv |
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