GC016-06
Regreening and Building Resilience Through Community Led Tree Planting: A Remote Sensing Analysis
Abstract:
For this study we have used remotely sensed data for 2000-2019 from the Landsat 7 satellite to assess trends in NDVI within and around TIST groves using the Google Earth Engine cloud computing software. This enables us to evaluate the impact that TIST has had on vegetation greenness, a proxy for plant productivity (SDG 15: life on land). We have also used the extensive dataset collected by TIST to analyse the amount of carbon sequestrated by 53,000 TIST farmers across spatial and environmental variables, and across tree species.
We show that tree planting and other activities implemented by TIST farmers has a demonstrable greening effect in TIST groves. This change is significantly different to the background level for agricultural land in the area, which has shown no overall change in greenness for 2000-2019. We also find evidence that TIST is responsible for a greening effect in the landscape surrounding TIST groves. It is suggested that these changes are linked to decreases in soil erosion, possible microclimatic effects as well as a reduction in pressure on local woodland as a source of firewood. We also find evidence of sites of woodland recovery linked to the actions of local TIST groups. This suggests that in addition to carbon sequestration, community-led agroforestry through TIST is exerting a positive landscape-level influence on vegetation condition in line with SDG 15, which can be identified with remotely sensed data.