scholarly journals Improving the way land use change is handled in economic models

2020 ◽  
Vol 84 ◽  
pp. 13-26 ◽  
Author(s):  
Xin Zhao ◽  
Dominique Y. van der Mensbrugghe ◽  
Roman M. Keeney ◽  
Wallace E. Tyner
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Economic Models ◽  
The Way

Mining Land Damage Assessment and Analysis Based on ArcGIS

2012 ◽  
Vol 500 ◽  
pp. 652-658
Author(s):  
Long Quan Chen ◽  
Feng Qiong Zou
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Calculated Result ◽  
Damage Assessment ◽  
Mining Subsidence ◽  
Traditional Methods ◽  
The Way

Serious hazard for mining subsidence, and the prediction of traditional methods of land use change has many defects, this paper mainly analyzes mining subsidence's influence on land use by using GIS. Put data of mining subsidence and layer’s data of land use into ArcGIS, then change region of mining subsidence to regions of the different deep subsidence, then intersect layer of mining subsidence with one of land use, the different deep subsidence and land use database are spatially analyzed and the different lands are found out and their areas are calculated, ArcGIS expresses the result in the way of image. In the end do analysis of GIS according to the calculated result.

scholarly journals Anomaly in the rainfall-runoff behaviour of the Meuse catchment. Climate, land use, or land use management?

2008 ◽  
Vol 5 (4) ◽  
pp. 1787-1819 ◽  
Author(s):  
F. Fenicia ◽  
H. H. G. Savenije ◽  
Y. Avdeeva
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Climatic Variability ◽  
Time Lag ◽  
Temporal Trends ◽  
Model Parameters ◽  
Land Use Management ◽  
Rainfall Runoff ◽  
The Way

Abstract. An anomaly has been found in the rainfall runoff behaviour of the Meuse. Ninety years of rainfall-runoff simulations show a consistent underestimation of the runoff in the period between 1930 and 1965. Different authors have debated possible causes for the anomaly, including climatic variability, land use change and data errors. None of the authors considered the way in which the land is used by for instance agricultural and forestry practises. This paper focuses on the possible effects of land use and land use management on the hydrological response of the Meuse catchment. In absence of detailed information on land use over the observation period, we adopted a fully "top-down" approach to the problem. The approach consists of a dynamic evaluation of a conceptual hydrological model and the interpretation of the temporal trends of model parameters. It appears that land use has had a considerable impact on the hydrological behaviour of the Meuse catchment. The time lag of the catchment has reduced markedly over time, possibly related to more intensive drainage and river training works. Moreover we hypothesise that forest rotation has had a significant impact on the evaporation of the catchment. These results contrast with previous studies, where the effect of land use change on the hydrological behaviour of the Meuse catchment was considered negligible, mainly because there was not sufficient change in land cover to account for it. Here we hypothesise that in the Meuse it was not the change of land cover that was responsible for hydrological change, but rather the way the land was managed.

scholarly journals Anomaly in the rainfall-runoff behaviour of the Meuse catchment. Climate, land-use, or land-use management?

2009 ◽  
Vol 13 (9) ◽  
pp. 1727-1737 ◽  
Author(s):  
F. Fenicia ◽  
H. H. G. Savenije ◽  
Y. Avdeeva
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Conceptual Model ◽  
Climatic Variability ◽  
Time Variability ◽  
Model Parameters ◽  
Rainfall Runoff ◽  
Over Time ◽  
The Way

Abstract. The objective of this paper is to investigate the time variability of catchment characteristics in the Meuse basin through its effect on catchment response. The approach uses a conceptual model to represent rainfall-runoff behaviour of this catchment, and evaluates possible time-dependence of model parameters. The main hypothesis is that conceptual model parameters, although not measurable quantities, are representative of specific catchment attributes (e.g. geology, land-use, land management, topography). Hence, we assume that eventual trends in model parameters are representative of catchment attributes that may have changed over time. The available hydrological record involves ninety years of data, starting in 1911. During this period the Meuse catchment has undergone significant modifications. The catchment structural modifications, although documented, are not available as "hard-data". Hence, our results should be considered as "plausible hypotheses". The main motivation of this work is the "anomaly" found in the rainfall runoff behaviour of the Meuse basin, where ninety years of rainfall-runoff simulations show a consistent overestimation of the runoff in the period between 1930 and 1965. Different authors have debated possible causes for the "anomaly", including climatic variability, land-use change and data errors. None of the authors considered the way in which the land is used by for instance agricultural and forestry practises. This aspect influenced the model design, which has been configured to account for different evaporation demand of growing forest. As a result of our analysis, we conclude that the lag time of the catchment has decreased significantly over time, which we attribute to more intensive drainage and river training works. Furthermore, we hypothesise that forest rotation has had a significant impact on the evaporation of the catchment. These results contrast with previous studies, where the effect of land-use change on the hydrological behaviour of the Meuse catchment was considered negligible, mainly because there was not sufficient change in land cover to account for it. Here we hypothesise that in the Meuse it was not the change of land cover that was responsible for hydrological change, but rather the way the land was managed.

scholarly journals Modeling Land Use and Land Cover Change: Using a Hindcast to Estimate Economic Parameters in gcamland v2.0

2020 ◽  
Author(s):  
Katherine V. Calvin ◽  
Abigail Snyder ◽  
Xin Zhao ◽  
Marshall Wise
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Crop Yields ◽  
Economic Models ◽  
The United States ◽  
Historical Period ◽  
Large Set

Abstract. The world has experienced a vast increase in agricultural production since the middle of the last century. Agricultural land area has also increased at the expense of natural lands over this period, though at a lower rate than production. Future changes in land use and cover have important implications not only for agriculture but for energy, water use, and climate. However, these future changes are driven by a complex combination of uncertain socioeconomic, technological, and other factors. Estimates of future land use and land cover differ significantly across economic models of agricultural production, and efforts to evaluate these economic models over history have been limited. In this study, we use an economic model of land use, gcamland, to systematically explore a large set of model parameter perturbations and alternate methods for forming expectations about uncertain crop yields and prices. We run gcamland simulations with these parameter sets over the historical period in the United States to explore model fitness and to identify combinations that improve fitness. We find that an adaptive expectation approach minimizes the error between simulated outputs and observations, with parameters that suggest that for most crops landowners put a significant weight on previous information. Interestingly, for corn, where ethanol policies have led to a rapid growth in demand, the resulting parameters show that a larger weight is placed on more recent information. We conclude with the observation that historical modeling exercises such as this study are valuable both for understanding real world drivers of land use change and for informing modeling of future land use change.

scholarly journals A Hybrid Land Conversion Model Incorporating Multiple End Uses

2011 ◽  
Vol 40 (3) ◽  
pp. 341-359 ◽  
Author(s):  
Nikhil Kaza ◽  
Charles Towe ◽  
Xin Ye
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Hybrid Model ◽  
Economic Models ◽  
Extreme Value ◽  
Land Conversion ◽  
Conversion Model ◽  
Behavioral Process ◽  
End Uses

The need for models that forecast land use change spans many disciplines and encompasses many approaches. Pattern-based models were the first in which projections of change at specific locations in actual landscapes could be predicted. In contrast, recent economic models have modeled the underlying behavioral process that produces land use change. This paper combines attributes from each approach into a hybrid model using a multiple discrete continuous extreme value formulation that allows for multiple conversion types, while also estimating the intensity of each type of conversion, which is an important but often overlooked dimension. We demonstrate the simulation routine, which successfully predicts a majority of growth by type, time, and location at a disaggregated scale, for a three-county region in Maryland.

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