ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

Telecoupling Analysis×Land-Change Driver Analysis×
분야Environmental SociologyEnvironmental Sociology
계열Process / pipelineProcess / pipeline
기원 연도20132002
창시자Jianguo (Jack) Liu and colleaguesEric F. Lambin & Helmut J. Geist
유형Systems framework for socioeconomic-environmental interactions across distancesSpatial-and-causal pipeline for explaining land-cover change
원전Liu, 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. DOI ↗Geist, H. J., & Lambin, E. F. (2002). Proximate Causes and Underlying Driving Forces of Tropical Deforestation. BioScience, 52(2), 143-150. DOI ↗
별칭Telecoupling Framework, Distal Coupled Human-Natural Systems Analysis, Distant Socioenvironmental Interaction Analysis, Liu Telecoupling FrameworkLUCC Analysis, Land-Change Science, Land Use/Land Cover Change Analysis, Proximate-and-Underlying Driver Analysis
관련33
요약Telecoupling 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.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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Telecoupling Analysis · Land-Change Driver Analysis. 2026-06-25에 다음에서 검색함: https://scholargate.app/ko/compare