Agricultural rent in land-use models: comparison of frequently used proxies

Chakir, Raja; Lungarska, Anna

doi:10.1080/17421772.2017.1273542

Cited by 22 publications

(24 citation statements)

References 59 publications

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“…Because land rent data is usually unavailable as it is in our case, it is common in the literature to approximate them using other variables [ 18 ]. Therefore, to represent the rental prices in the 1840s, we used location, accessibility, and land quality as proxies for agricultural land’s rental price.…”

Section: Modeling Agricultural Land Market Dynamicsmentioning

confidence: 99%

“…Conversion to agriculture has resulted in increased surface runoff, soil erosion, land degradation, loss of biodiversity and ecosystem services, and adverse impacts on climate systems [ 16 , 17 ]. Other land cover changes such as establishing permanent grassland/pastures or afforestation could increase carbon storage in the soil and reduce greenhouse gases and preserve the environment [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

2021

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Agricultural land cover and its changing extent are directly related to human activities, which have an adverse impact on the environment and ecosystems. The historical knowledge of crop production and its cultivation area is a key element. Such data provide a base for monitoring and mapping spatio-temporal changes in agricultural land cover/use, which is of great significance to examine its impacts on environmental systems. Historical maps and related data obtained from historical archives can be effectively used for reconstruction purposes through using sample data from ground observations, government inventories, or other historical sources. This study considered historical population and cropland survey data obtained from Ottoman Archives and cropland suitability map, accessibility, and geophysical attributes as ancillary data to estimate non-irrigated crop production and its corresponding cultivation area in the 1840s Bursa Region, Turkey. We used the regression analysis approach to estimate agricultural land area and grain production for the unknown data points in the study region. We provide the spatial distribution of production and its cultivation area based on the estimates of regression models. The reconstruction can be used in line with future historical research aiming to model landscape, climate, and ecosystems to assess the impact of human activities on the environmental systems in preindustrial times in the Bursa Region context.

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Section: Modeling Agricultural Land Market Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

2021

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“…(2018) provide an extensive review of theories addressing land-use extent, intensification, spillovers, and transitions, which we do not reiterate here. 8 Example explanations, however, include induced agricultural intensification and innovation (Muyanga & Jayne, 2014;Turner & Ali, 1996), forest transitions (Barbier et al, 2010;Meyfroidt & Lambin, 2011;Rudel et al, 2009), land rents and landuse zones around cities and protected areas (Brun et al, 2015;Chakir & Lungarska, 2017); urban expansion (Poelmans & Van Rompaey, 2010;Seto et al, 2011); telecoupling and land grabbing (Franco, 2012;Rulli et al, 2013); and spatial polarization and reorganization of land use (Kuemmerle et al, 2015;Stürck et al, 2018). We also considered explanations that have been under-emphasized in land system science, such as those addressing the social and political embeddedness of markets or variations in actors' decision-making (Munroe et al, 2014;Turner & Robbins, 2008).…”

Section: Land-use Frameworkmentioning

confidence: 99%

Framing the search for a theory of land use

Turner

Meyfroidt

Kuemmerle

et al. 2020

Journal of Land Use Science

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Land system science and affiliated research linked to sustainability require improved understanding and theorization of land and its change as a social-ecological system (SES). The absence of a general land-use theory, anchored in the social subsystem but with explicit links to the environmental subsystem, hampers this effort. Drawing on land-use explanations, meta-analyses, and associated frameworks, we advance a broad framework structure of eight elements-aggregations of explanatory variableswith links to the biophysical subsystem, for systematic comparisons of extant explanations. Tests and models can be employed to identify which set of variables and their configurations provide robust explanations of across land uses, identifying the potential for theory development. The framework and its application are applicable to both top-down and bottom-up explanatory approaches employed in the social sciences. Links to the environmental subsystem invite future exploration of SES explanations that reach across the different dimensions of global change and sustainability science.

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“…We estimate an econometric land use share model with cross-section data. Our econometric model is based on econometric land use models estimated on aggregate data such as Lichtenberg (1989); Stavins and Jaffe (1990); Plantinga (1996); Miller and Plantinga (1999) for the U.S. case, and Chakir and Le Gallo (2013); Ay et al 2017; Chakir and Lungarska (2017) among others for the case of France.…”

Section: Land Use Share Modelmentioning

confidence: 99%

Impacts of Land Use and Climate Change on Freshwater Ecosystems in France

Bayramoglu

Chakir

Lungarska

2019

Environ Model Assess

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Pressures on freshwater ecosystems are mainly human-induced and driven by land use and climate change. We develop an empirical framework to estimate the impacts of land use (agriculture, forest, pasture, urban) and climate change on freshwater biodiversity, measured by a fish-based index, in France. Our estimation results reveal that rivers in areas with more intensive agriculture and steep pasture are associated to lower freshwater biodiversity compared to forest areas. Our simulations show that climate change will exacerbate these negative impacts through land-use adaptation. We discuss how two command-and-control policies could help improving freshwater biodiversity and cope with the adverse effects of land use and climate change.

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Agricultural rent in land-use models: comparison of frequently used proxies

Cited by 22 publications

References 59 publications

The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

The estimation of non-irrigated crop area and production using the regression analysis approach: A case study of Bursa Region (Turkey) in the mid-nineteenth century

Framing the search for a theory of land use

Impacts of Land Use and Climate Change on Freshwater Ecosystems in France

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