Farmland Abandonment Research Progress: Influencing Factors and Simulation Model

doi:10.5814/j.issn.1674-764X.2019.04.001

Abstract

Abstract:

Farmland abandonment is a global problem and considered one of the most important areas in land use change research. Farmland abandonment research currently focuses on understanding the factors that affect farmland abandonment and developing scientific models to simulate farmland abandonment. The study reviewed the natural and political factors driving farmland abandonment and summarized the main models for farmland abandonment simulation together with their advantages and disadvantages. We discuss the main ecological effects of farmland abandonment and propose farmland abandonment research directions. The study found that: (1) the influence of labor cost change and ageing labor force on farmland abandonment needs further investigation, (2) simulation models for farmland abandonment must include the decision-making mechanism of individual farmers and focus on macro large-scale abandonment prediction models, and (3) the influence of farmland abandonment on landscape culture must be investigated in detail.

Key words: farmland abandonment, driving factors, model simulation, eco-environmental effects, research progress

SONG Wei,ZHANG Ying. Farmland Abandonment Research Progress: Influencing Factors and Simulation Model[J]. Journal of Resources and Ecology, 2019, 10(4): 345-352.

Figures/Tables 1

References 72

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Model category	Model name	Applied regions	Quantitative prediction	Spatial distribution/ Abandonment risk	Reference sources
Spatial statistical/ quantitative models	Logit model of probability	South Chile	?	+	Díaz et al., 2011
	Spatial statistical model	Switzerland mountainous areas	?	+	Gellrich and Zimmermann, 2007
	PROBAT	?	?	+	Silber and Wytrzens, 2006
	Spatial statistical model	Switzerland mountainous areas	?	+	Gellrich et al., 2007b
	Logistic regression model and Area Under Curve statistics	Slovakia	?	+	Pazur et al., 2014
	Multivariate statistical models	Switzerland mountainous areas	?	+	Gellrich et al., 2007a
System dynamics models	Dyna-CLUE	Switzerland	+	+	Price et al., 2015
	FORE-SCE	Pyrenees	+	+	Vacquie et al., 2015
	CAPRI and Dyna-CLUE	European Union	+	+	Renwick et al., 2013

Model category	Model name	Applied regions	Quantitative prediction	Spatial distribution/ Abandonment risk	Reference sources
Spatial statistical/ quantitative models	Logit model of probability	South Chile	?	+	Díaz et al., 2011
	Spatial statistical model	Switzerland mountainous areas	?	+	Gellrich and Zimmermann, 2007
	PROBAT	?	?	+	Silber and Wytrzens, 2006
	Spatial statistical model	Switzerland mountainous areas	?	+	Gellrich et al., 2007b
	Logistic regression model and Area Under Curve statistics	Slovakia	?	+	Pazur et al., 2014
	Multivariate statistical models	Switzerland mountainous areas	?	+	Gellrich et al., 2007a
System dynamics models	Dyna-CLUE	Switzerland	+	+	Price et al., 2015
	FORE-SCE	Pyrenees	+	+	Vacquie et al., 2015
	CAPRI and Dyna-CLUE	European Union	+	+	Renwick et al., 2013