Sammenlign metoder

	Land-Change Driver Analysis	Telecoupling Analysis
Fagområde	Environmental Sociology	Environmental Sociology
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	2002	2013
Ophavsperson	Eric F. Lambin & Helmut J. Geist	Jianguo (Jack) Liu and colleagues
Type	Spatial-and-causal pipeline for explaining land-cover change	Systems framework for socioeconomic-environmental interactions across distances
Oprindelig kilde	Geist, H. J., & Lambin, E. F. (2002). Proximate Causes and Underlying Driving Forces of Tropical Deforestation. BioScience, 52(2), 143-150.	Liu, J., Hull, V., Batistella, M., DeFries, R., Dietz, T., Fu, F., et al. (2013). Framing Sustainability in a Telecoupled World. Ecology and Society, 18(2), 26.
Aliasser	LUCC Analysis, Land-Change Science, Land Use/Land Cover Change Analysis, Proximate-and-Underlying Driver Analysis	Telecoupling Framework, Distal Coupled Human-Natural Systems Analysis, Distant Socioenvironmental Interaction Analysis, Liu Telecoupling Framework
Relaterede	3	3
Resumé	Land-use and land-cover change (LUCC) analysis is the land-change-science method for detecting how the Earth's surface is being transformed and explaining why, with particular attention to the social drivers behind the change. Its defining move, formalized by Eric Lambin and Helmut Geist, is to separate proximate causes, the direct human activities such as agricultural expansion, wood extraction, and infrastructure that physically alter land cover, from underlying driving forces, the demographic, economic, technological, institutional, and cultural factors that operate at a distance and push the proximate causes. Their meta-analysis of tropical deforestation showed that single-factor explanations are rare and that change is usually produced by synergistic combinations of drivers. The analysis chains remote sensing of cover change to a structured causal attribution, giving social scientists a rigorous way to link maps of deforestation or urbanization to the human forces that produce them.	Telecoupling analysis is an integrated framework, introduced by Jianguo Liu and colleagues in 2013, for studying socioeconomic and environmental interactions between coupled human and natural systems that are far apart. As trade, migration, investment, species movement, and information flows increasingly link distant places, environmental change in one location is often driven by demand, decisions, and processes in another. The framework gives this distant coupling a common structure: it distinguishes sending, receiving, and spillover systems, and within each it identifies the flows that connect them, the agents who act, the causes that drive the interaction, and the effects that result. By making distant cause-and-effect explicit, telecoupling analysis lets researchers study phenomena such as land-use displacement, deforestation driven by foreign demand, and the global reach of conservation or development interventions as one connected system rather than as isolated local cases.