Rural hollowing and land attachment
This study aims to understand the emergence of hollow villages with the abandonment of cropland and homestead using a spatially explicit agent-based model. The process of rural hollowing can be explained by social-ecological feedback between land use and labor migration.
Nature-based solutions and wildlife-human conflicts
This study investigates household land-use decisions on cropland abandonment under the influence of crop-raiding by wildlife. The research integrates satellite remote sensing, statistical modeling, and multilevel analysis.
Reforestation Policy & Rural Livelihoods: Migratio & Remittance
This study investigates the role remittance play in sustaining forest and livelihoods. The experiment is based on China’s largest payments for ecosystem services policy, Congversion of Cropland to Forest Program (CCFP).
Model Development
ABM-CALM: Agent-Based Model for Cropland Abandonment and Labor Migration Overview of ABM-CALM. This paper presents reserach on the development and application of ABM-CALM that simulates bidirectional social-ecological feedbacks.
Reforestation Policy & Rural Livelihoods
Income inequality is a critical issue of socio-economic development, particularly in rural areas where forest-dependent people are often vulnerable to the intervention of forest policies. This study investigates income distribution and inequality of rural households influenced by China’s largest reforestation policy, the Congversion of Cropland to Forest Program (CCFP).
This study analyzes the drivers of farmers’ participation in three concurrent strategies of payments for ecosystem services programs using hierarchical linear models.
This article is in collaboration with Prof. Tan Li from Anhui Agricultural University.
Application of Agent-Based Modeling in Human-Environment Interactions
ABM-CALM: Agent-Based Model for Cropland Abandonment and Labor Migration Overview of ABM-CALM. This study applies ABM-CALM to explore human-environment interrelationships under constrainted land-use decisions.