Join WOCAT on the occasion of World Soil Day 2020, December 7th 13:00-14:00 to learn how you can estimate the carbon benefits of SLM! A one-hour webinar organized with Colorado State University, GEF/UNEP, ISRIC and the Centre for Development and Environment will introduce you to the linked tools of the Carbon Benefits Project and WOCAT.

Watch the full WOCAT/ IUCN session on the Rangeland Health Restoration initiative on the GLF website.

Watch the video produced by WOCAT partner National Agriculture and Forestry Research Institute (NAFRI) Lao PDR as part of the project Scaling up SLM by smallholder farmers and learn about land degradation and SLM in Lao PDR.

Watch the video produced by WOCAT partner Royal University of Agriculture (RUA) Cambodia as part of the project Scaling up SLM by smallholder farmers and learn about land degradation and SLM in Cambodia.

Watch the trailer  presented at the Global Landscapes Forum Biodiversity 2020, 28-29 Oct. 2020, to raise awareness for rangelands and call for global attention and action.

Rangelands provide irreplacable services to humanity living in and outside the rangelands. Yet, they are threatened and neglected.

We are happy to announce WOCAT’s partnership with farmbetter Ltd., a social enterprise developing digital solutions for smallholder farmers and extension. The farmbetter app (in development) draws on WOCAT SLM data to provide farmers with SLM solutions matching their needs and context to improve their climate resilience and livelihoods.

WOCAT is collaborating with the EU-funded project on Land-use based Mitigation for Resilient Climate pathways (LANDMARC). The Project will answer the question about the realistic potential for agriculture, forestry, and other land use sectors to enhance the uptake of CO₂ from the atmosphere.

A recent paper in Global Environmental Change from a collaboration between the Stockholm Resilience Centre, WOCAT and the University of Florence, explores the global potential of SLM to increase crop production. It provides a new methodology based on global spatial data and the WOCAT database to support the out-scaling of existing, successful, documented SLM Technologies. The methodology is scalable and aims at supporting decision making on replication and transferability of SLM at a national to regional scale. Currently, the methodology is being applied to Uganda as a first national case study.