cience has effectively explained and addressed issues regarding land degradation. Research has progressively incorporated remote sensing alongside geographic information systems (GIS) and artificial intelligence (AI) to monitor degradation patterns while evaluating land productivity and creating prevention strategies. The RUSLE and WEPP soil health assessment models serve to model degradation processes. Studies on climate change modelling together with carbon sequestration research have expanded our understanding of environmental effects caused by land degradation worldwide.
The fight against land degradation receives its most valuable support from policy measures and international initiatives. The United Nations Sustainable Development Goals (SDGs) together with Land Degradation Neutrality (LDN) and REDD+ (Reduction of Emissions from Deforestation and Forest Degradation) serve as important programs that focus on sustainable land management and restoration. The policies show varying effectiveness between different regions because of their distinct levels of economic development together with variations in governance and enforcement.
The scientific literature contains many studies about soil erosion and land degradation and desertification yet few research studies exist on forest land degradation specifically. The scientific community has widely recognized deforestation as a problem, but few studies exist about forest ecosystem degradation through time especially concerning biodiversity loss and changes in soil properties and water circulation. Forest land degradation stands as a crucial ecological issue which lacks sufficient scientific research according to bibliometric analysis thus requiring greater academic a
