A study of the system dynamics coupling model of the driving factors for multi-scale land use change

2016 ◽  
Vol 75 (6) ◽  
Author(s):  
J. S. Zhao ◽  
L. Yuan ◽  
M. Zhang
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
System Dynamics ◽  
Coupling Model ◽  
Driving Factors ◽  
Multi Scale

Theory, Data, and Methods

2019 ◽  
pp. 156-202
Author(s):  
Eda Ustaoglu ◽  
Arif Çagdaş Aydinoglu
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Information System ◽  
Land Use Change ◽  
Model Development ◽  
Agent Based ◽  
Change Models ◽  
Multi Scale ◽  
Land Use Dynamics ◽  
Scale Characteristics

Land-use change models are tools to support analyses, assessments, and policy decisions concerning the causes and consequences of land-use dynamics, by providing a framework for the analysis of land-use change processes and making projections for the future land-use/cover patterns. There is a variety of modelling approaches that were developed from different disciplinary backgrounds. Following the reviews in the literature, this chapter focuses on various modelling tools and practices that range from pattern-based methods such as machine learning and GIS (Geographic Information System)-based approaches, to process-based methods such as structural economic or agent-based models. For each of these methods, an overview is given for the advances that have been progressed by geographers, natural and economy scientists in developing these models of spatial land-use change. It is noted that further progress is needed in terms of model development, and integration of models operating at various scales that better address the multi-scale characteristics of the land-use system.

Land use change and driving factors in rural China during the period 1995-2015

2020 ◽  
Vol 99 ◽  
pp. 105048
Author(s):  
Yang Zhou ◽  
Xunhuan Li ◽  
Yansui Liu
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Rural China ◽  
Driving Factors

scholarly journals Analysis of Characteristics and Driving Factors of Land-Use Changes in the Tarim River Basin from 1990 to 2018

2021 ◽  
Vol 13 (18) ◽  
pp. 10263
Author(s):  
Yang Wang ◽  
Tingting Xia ◽  
Remina Shataer ◽  
Shuai Zhang ◽  
Zhi Li
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Center Of Gravity ◽  
Driving Factors ◽  
Tarim River ◽  
Tarim River Basin ◽  
Cultivated Land ◽  
The Tarim River ◽  
The Tarim River Basin

Land-use and cover change is an important indicator for exploring global change trends, with in-depth research on land use and its driving factors being of particular significance in forging ecologically sustainable development. The present work used the Tarim River Basin as the study area, while the land-use transfer matrix, normalized difference vegetation index (NDVI), regional center-of-gravity model, and night-time-light remote-sensing mutual correction method were employed to explore temporal and spatial characteristics of land-use change and its driving factors. The results show the following. (1) From 1990 to 2018, land-use types in the study area significantly changed, with the cultivated land increasing by 73.9% and grassland area decreasing at a rate of 6.38 × 104 hm2 per year. (2) Areas with a natural vegetation NDVI above 0.2 appeared to follow a growth trend, with an area growth of 259.12 × 104 hm2 at a rate of 14.39 × 104 hm2/a. Average annual temperature and precipitation showed a fluctuating upward trend. (3) The center of gravity of land-use type area moved significantly. The center of gravity of cultivated land was moving in the same direction as the GDP and population center of gravity, migrating to the northeast. The migration distance of the center of gravity of cultivated land area was 212.59 km, the center of gravity migration rate of GDP was 14.44 km/a, and the population center of gravity was 812.21 km. (4) During the study period, the brightness of night lights in the study area was distributed in a circular shape, with more in the northwest and less in the southeast. Brightness gradually increased and showed an expansion trend, increasing from 0.3% to 6.3%. Among the influencing factors of spatial change of land-use change, natural factors such as climate change were related to the process of land-use/-cover change in the Tarim River Basin. Overall, human activities had the most obvious impact on land-use change.

scholarly journals Biodiversity consequences of land-use change and forest disturbance in the Amazon: A multi-scale assessment using ant communities

2016 ◽  
Vol 197 ◽  
pp. 98-107 ◽  
Author(s):  
Ricardo Ribeiro de Castro Solar ◽  
Jos Barlow ◽  
Alan N. Andersen ◽  
José H. Schoereder ◽  
Erika Berenguer ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Forest Disturbance ◽  
Ant Communities ◽  
Multi Scale ◽  
Scale Assessment

scholarly journals Land-use change simulation and assessment of driving factors in the loess hilly region—a case study as Pengyang County

2009 ◽  
Vol 164 (1-4) ◽  
pp. 133-142 ◽  
Author(s):  
Zhanqiang Zhu ◽  
Liming Liu ◽  
Zhantao Chen ◽  
Junlian Zhang ◽  
Peter H. Verburg
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Driving Factors ◽  
Hilly Region ◽  
Loess Hilly Region

Multi-scale modelling of land use change dynamics in Ecuador

1999 ◽  
Vol 61 (2) ◽  
pp. 77-93 ◽  
Author(s):  
G.H.J. de Koning ◽  
P.H. Verburg ◽  
A. Veldkamp ◽  
L.O. Fresco
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Multi Scale ◽  
Change Dynamics ◽  
Scale Modelling

Participatory Bayesian network modeling to understand driving factors of land-use change decisions: insights from two case studies in northeast Madagascar

2020 ◽  
Vol 15 (1) ◽  
pp. 69-90 ◽  
Author(s):  
R. Ntsiva N. Andriatsitohaina ◽  
Enrico Celio ◽  
Jorge C. Llopis ◽  
Zo H. Rabemananjara ◽  
Bruno S. Ramamonjisoa ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Bayesian Network ◽  
Case Studies ◽  
Network Modeling ◽  
Driving Factors ◽  
Bayesian Network Modeling
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