Driving Forces in Archetypical Land-Use Changes in a Mountainous Watershed in East Asia

Identifying patterns and drivers of regional land use changes is crucial for supporting land management and planning. Doing so for mountain ecosystems in East Asia, such as the So-yang River Basin in South Korea, has until now been a challenge because of extreme social and ecological complexities. Applying the techniques of geographic information systems (GIS) and statistical modeling via multinomial logistic regression (MNL), we attempted to examine various hypothesized drivers of land use changes, over the period 1980 to 2000. The hypothesized drivers included variables of topography, accessibility, spatial zoning policies and neighboring land use. Before the inferential statistic analyses, we identified the optimal neighborhood extents for each land use type. The two archetypical sub-periods, i.e. , 1980–1990 with agricultural expansions and 1990–2000 with reforestation, have similar causal drivers, such as topographic factors, which are related to characteristics of mountainous areas, neighborhood land use, and spatial zoning policies, of land use changes. Since the statistical models robustly capture the mutual effects of biophysical heterogeneity, neighborhood characteristics and spatial zoning regulation on long-term land use changes, they are valuable for developing coupled models of social-ecological systems to simulate land use and dependent ecosystem services, and to support sustainable land management.

[1]  E. Lambin,et al.  Proximate causes of land-use change in Narok District, Kenya: a spatial statistical model , 2001 .

[2]  Jin‐Yong Lee A Hydrological Analysis of Current Status of Turbid Water in Soyang River and Its Mitigation , 2008 .

[3]  William B. Meyer,et al.  HUMAN POPULATION GROWTH AND GLOBAL LAND-USE/COVER CHANGE , 1992 .

[4]  C. Peng,et al.  Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 , 2001, Science.

[5]  P. Verburg,et al.  Trajectories of land use change in Europe: a model-based exploration of rural futures , 2010, Landscape Ecology.

[6]  Christophe Le Page,et al.  Modelling of spatial dynamics and biodiversity conservation on Lure mountain (France) , 2010, Environ. Model. Softw..

[7]  Kor de Jong,et al.  A method to analyse neighbourhood characteristics of land use patterns , 2004, Comput. Environ. Urban Syst..

[8]  R. Gil Pontius,et al.  Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA , 2001 .

[9]  E. Lambin,et al.  Predicting land-use change , 2001 .

[10]  Regions at Risk: Exploring Environmental Criticality , 1996 .

[11]  Jung‐Hoon Kim An Analysis of Land Use Change in the Urban Fringe Using GIS and Logistic Regression in Korea , 2002 .

[12]  A. Veldkamp,et al.  CLUE: a conceptual model to study the Conversion of Land Use and its Effects , 1996 .

[13]  Meine van Noordwijk,et al.  Protected areas within multifunctional landscapes: squeezing out intermediate land use intensities in the tropics? , 2013 .

[14]  Seongjoon Kim,et al.  The Effect of Spatial Scale and Resolution in the Prediction of Future Land Use using CA-Markov Technique* , 2007 .

[15]  G. Perry,et al.  Regression Techniques for Examining Land Use/Cover Change: A Case Study of a Mediterranean Landscape , 2007, Ecosystems.

[16]  David J. Campbell,et al.  Using a role-playing game to inform the development of land-use models for the study of a complex socio-ecological system , 2010 .

[17]  Viet-Ngu Hoang,et al.  Analysis of environmental efficiency variations: A nutrient balance approach , 2013 .

[18]  Dong-Kun Lee,et al.  Analyzing the Future Land Use Change and its Effects for the Region of Yangpyeong-gun and Yeoju-gun in Korea with the Dyna-CLUE Model , 2011 .

[19]  José M. Paruelo,et al.  LAND USE IMPACTS ON THE NORMALIZED DIFFERENCE VEGETATION INDEX IN TEMPERATE ARGENTINA , 2003 .

[20]  Hanqin Tian,et al.  Modelling spatial and temporal patterns of tropical land use change , 1995 .

[21]  E. Lambin,et al.  Dynamics of Land-Use and Land-Cover Change in Tropical Regions , 2003 .

[22]  C. Lavalle,et al.  Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata , 2003 .

[23]  R. N. Lerch,et al.  Watershed vulnerability to losses of agricultural chemicals: interactions of chemistry, hydrology, and land-use. , 2000 .

[24]  Antoine Guisan,et al.  Evaluating sampling strategies and logistic regression methods for modelling complex land cover changes , 2007 .

[25]  Daniel Müller,et al.  Land use dynamics in the central highlands of Vietnam: a spatial model combining village survey data with satellite imagery interpretation , 2002 .

[26]  Quang Bao Le,et al.  Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification , 2008, Ecol. Informatics.

[27]  Sylvie Ladet,et al.  Agricultural land-use change and its drivers in mountain landscapes: A case study in the Pyrenees , 2006 .

[28]  Viet-Ngu Hoang,et al.  Cost and environmental efficiency of rice farms in South Korea , 2012 .

[29]  Paul Schot,et al.  Land use change modelling: current practice and research priorities , 2004 .

[30]  Kathleen Neumann,et al.  Challenges in using land use and land cover data for global change studies , 2011 .

[31]  Rin Won Joo,et al.  Forest transition in South Korea: reality, path and drivers , 2012 .

[32]  Yun Hee-Jin A study on the model of spacial reconfiguration of rural areas according to the industry restructuring , 2010 .

[33]  Quang Bao Le,et al.  Land Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system: 2. Scenario-based application for impact assessment of land-use policies , 2010, Ecol. Informatics.

[34]  B. Kim,et al.  Eutrophication of reservoirs in South Korea , 2001, Limnology.

[35]  Stefano Bocchi,et al.  Assessment of land cover changes and spatial drivers behind loss of permanent meadows in the lowlands of Italian Alps , 2011 .

[36]  R. G. Pontius,et al.  Modeling land-use change in the Ipswich watershed, Massachusetts, USA , 2001 .

[37]  W. Greene,et al.  计量经济分析 = Econometric analysis , 2009 .

[38]  E. Lambin,et al.  Proximate Causes and Underlying Driving Forces of Tropical Deforestation , 2002 .

[39]  Han-Cheol Hwang,et al.  An Analysis on the Structural Changes of Rural Land Use According to Urbanization , 2007 .

[40]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[41]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[42]  R. Scholes,et al.  Ecosystems and human well-being: current state and trends , 2005 .

[43]  Peter H. Verburg,et al.  Statistical methods for analysing the spatial dimension of changes in land use and farming systems , 2005 .

[44]  Jane Southworth,et al.  Modeling Spatially and Temporally Complex Land-Cover Change: The Case of Western Honduras* , 2004, The Professional Geographer.

[45]  Prabhu Pingali,et al.  From Subsistence to Commercial Production Systems: The Transformation of Asian Agriculture , 1997 .

[46]  Stan C. M. Geertman,et al.  Spatial‐temporal specific neighbourhood rules for cellular automata land‐use modelling , 2007, Int. J. Geogr. Inf. Sci..

[47]  Ronald R Rindfuss,et al.  Developing a science of land change: challenges and methodological issues. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[48]  Arika Ligmann-Zielinska,et al.  Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest , 2012, Environ. Model. Softw..

[49]  P. Verburg,et al.  Mapping and modelling of changes in agricultural intensity in Europe , 2011 .

[50]  Rafael Crecente-Maseda,et al.  Multi-scale assessment and spatial modelling of agricultural land abandonment in a European peripheral region: Galicia (Spain), 1956–2004 , 2012 .

[51]  Reiner Doluschitz,et al.  The impact of variation in scale on the behavior of a cellular automata used for land use change modeling , 2010, Comput. Environ. Urban Syst..

[52]  Lena Hallin-Pihlatie Exploring Neighbourhood Interaction with Desktop GIS , 2009 .

[53]  A. Gibon,et al.  Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response , 2000 .

[54]  Ton C M de Nijs,et al.  Determinants of Land-Use Change Patterns in the Netherlands , 2004 .

[55]  Koen P. Overmars,et al.  Comparing Inductive and Deductive Modeling of Land Use Decisions: Principles, a Model and an Illustration from the Philippines , 2007 .

[56]  Dae-Sik Kim,et al.  Spatio-temporal change detection of land-use and urbanization in rural areas using GIS and RS , 2011 .