Landchange

Landchange is the study and observation of alterations in the land surface that affect land cover or land use, or both, over time. It encompasses transitions among categories such as forest, cropland, urban areas, water bodies, and barren land, as well as changes within categories (for example, a shift from one crop type to another). As a core component of land system science, landchange is tracked through time-series spatial data and ancillary records.

Drivers include population growth, economic development, agricultural policy, urban expansion, infrastructure development, and governance, as well as climate variability and natural disturbances. These drivers interact with biophysical limits and governance frameworks to shape where and how change occurs.

Measurement and methods rely on remote sensing, geographic information systems, and standardized land-cover and land-use classifications. Change detection, trend analysis, and scenario modeling are common approaches, often using global and regional datasets to assess rates and directions of change.

Impacts of landchange span biodiversity, carbon stocks, soil health, water balance, and climate feedbacks, with implications for food security, livelihoods, and resilience to hazards. Proper assessment supports planning, conservation, climate modeling, and policy evaluation.

Common examples include deforestation for agriculture or pasture, urban expansion, agricultural intensification, and coastal land reclamation. In some regions, restoration or rewilding projects also contribute to landchange dynamics.

Challenges include ensuring data consistency across time and space, harmonizing classification schemes, scaling analyses, attributing drivers, and addressing data gaps and land rights issues.

See also: land-use change, land-cover change, deforestation, urbanization, remote sensing, GIS.