Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: Application to sustainable management of natural resources in northern Vietnam

Castella, Jean-Christophe; Kam, Suan Pheng; Quang, Dang Dinh; Verburg, Peter H.; Hoanh, Chu Thai

doi:10.1016/j.landusepol.2005.09.009

Cited by 155 publications

(75 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In many cases, it may even be most appropriate to use different model approaches to study the same region and to then compare the outcomes of such forecast models, which may lead to a better and more complete understanding of the LULC change process [53]. The method has therefore become an important direction for current research and could involve using a different model in combination with the CLUE-S model, such as the grey interconnect degree, the system dynamics model or multi-agent system models [26], which offer a reasonable alternative to predict and simulate land use patterns.…”

Section: Discussionmentioning

confidence: 99%

Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

2015

View full text Add to dashboard Cite

Land use and land cover (LULC) models are essential for analyzing LULC change and predicting land use requirements and are valuable for guiding reasonable land use planning and management. However, each LULC model has its own advantages and constraints. In this paper, we explore the characteristics of LULC change and simulate future land use demand by combining a CLUE-S model with a Markov model to deal with some shortcomings of existing LULC models. Using Beijing as a case study, we describe the related driving factors from land-adaptive variables, regional spatial variables and socio-economic variables and then simulate future land use scenarios from 2010 to 2020, which include a development scenario (natural development and rapid development) and protection scenarios (ecological and cultivated land protection). The results indicate good consistency between predicted results and actual land use situations according to a Kappa statistic. The conversion of cultivated land to urban built-up land will form the primary features of LULC change in the future. The prediction for land use demand shows the differences under different scenarios. At higher elevations, the geographical environment limits the expansion of urban built-up land, but the conversion of cultivated land to built-up land in mountainous areas will be more prevalent by 2020; Beijing, however, still faces the most pressure in terms of ecological and cultivated land protection.

show abstract

Section: Discussionmentioning

confidence: 99%

Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

2015

View full text Add to dashboard Cite

show abstract

“…Landslide susceptibility reflects the degree to which terrain unit can be affected by slope movements in the future (Günther et al, 2013). 15 In general, the choice of geoinformation (GI) details for the landslide predisposing factors are not often explained in the landslide susceptibility assessment based on statistical methods; or some criteria defined in the literature is used for this selection, since these variables explain the occurrence of slope movements in the study area (Blahut et al, 2010;Carrara et al, 1991;Castella et al, 2007;Castellanos Abella, 2008;Guzzetti et al, 1999Guzzetti et al, , 2006Soeters and van Westen, 1996;van Westen et al, 2008;20 Zêzere et al, 2008Zêzere et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

“…The predisposing factor maps (PFM) were selected after literature reviewing about the causal factors of landslides occurrence (Blahut et al, 2010;Carrara et al, 1991;Castella et al, 2007;Castellanos Abella, 2008;Guzzetti et al, 1999;Soeters and van Westen, 1996;van Westen et al, 2008;Zêzere et al, 2008Zêzere et al, , 2017. The PFM selected to the landslide susceptibility modeling in Zêzere watershed are presented in Figure 2.…”

mentioning

confidence: 99%

Land use and land cover geoinformation properties and its influence on the landslide susceptibility zonation of road network

Meneses

Pereira

Reis

2017

Preprint

View full text Add to dashboard Cite

show abstract

“…While much research has been conducted on topics related to the natural sciences, fewer studies have focused on social, economic and integrated studies. As a result, this mismatch could potentially lead to improper and unspecific political decisions, often implying a "one-size-fits-all" policy design and implementation [23], while increasing the risk of failing to consider an integrative solution for sustainable development in general [24].…”

Section: Introductionmentioning

confidence: 99%

Knowledge Brokerage for Impact Assessment of Land Use Scenarios in Inner Mongolia, China: Extending and Testing the FoPIA Approach

et al. 2015

View full text Add to dashboard Cite

While land serves numerous societal functions and contributes to sustainable development, it is often unclear how these functions are affected by political decisions and common drivers of land use change, such as economic development, climate change and demographic change. This study evaluates alternative land use scenarios in reference to a rural region of Inner Mongolia Autonomous Region (China), where various processes and decisions have historically triggered unsustainable development. The scientifically tested "Framework for Participatory Impact Assessment (FoPIA)" method is developed further to address specific features of the case study region, and its function as a knowledge-brokerage (KB) tool is evaluated. Three scenarios are developed and analysed in expert workshops. OPEN ACCESSSustainability 2015, 7 5028 "Land intensification: Agriculture" and "Land intensification: Mining" scenarios are found to have mainly negative environmental and social effects and positive economic impacts, while the "Environmental conservation and tourism" scenario is found to more positively affect all three sustainability dimensions. Assessments of methodological phases show that the FoPIA primarily serves to establish the KB process and that the framework particularly benefits from early examinations of scientific results by policy makers.

show abstract

Combining top-down and bottom-up modelling approaches of land use/cover change to support public policies: Application to sustainable management of natural resources in northern Vietnam

Cited by 155 publications

References 30 publications

Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

Land use and land cover geoinformation properties and its influence on the landslide susceptibility zonation of road network

Knowledge Brokerage for Impact Assessment of Land Use Scenarios in Inner Mongolia, China: Extending and Testing the FoPIA Approach

Contact Info

Product

Resources

About