scholarly journals Development of Input Maps for the Military Land Use Evolution and Assessment Model (mLEAM) Land Use Change (LUC) Simulation Model

2004 ◽  
Author(s):  
James D. Westervelt ◽  
Kyle Brock ◽  
Woonsup Choi ◽  
Yong Wook Kim
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Simulation Model ◽  
Assessment Model ◽  
The Military

The Military Land Use Evolution and Impact Assessment Model

2001 ◽  
Author(s):  
Brian M. Deal ◽  
Elisabeth M. Jenicek ◽  
William J. Wolfe
Keyword(s):  
Land Use ◽  
Impact Assessment ◽  
Assessment Model ◽  
The Military

scholarly journals On linking an Earth system model to the equilibrium carbon representation of an economically optimizing land use model

2014 ◽  
Vol 7 (6) ◽  
pp. 2545-2555 ◽  
Author(s):  
B. Bond-Lamberty ◽  
K. Calvin ◽  
A. D. Jones ◽  
J. Mao ◽  
P. Patel ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Carbon Cycle ◽  
Integrated Assessment ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Earth System ◽  
Climate Effects ◽  
Community Land Model ◽  
Proxy Variables

Abstract. Human activities are significantly altering biogeochemical cycles at the global scale, and the scope of these activities will change with both future climate and socioeconomic decisions. This poses a significant challenge for Earth system models (ESMs), which can incorporate land use change as prescribed inputs but do not actively simulate the policy or economic forces that drive land use change. One option to address this problem is to couple an ESM with an economically oriented integrated assessment model, but this is challenging because of the radically different goals and underpinnings of each type of model. This study describes the development and testing of a coupling between the terrestrial carbon cycle of an ESM (CESM) and an integrated assessment (GCAM) model, focusing on how CESM climate effects on the carbon cycle could be shared with GCAM. We examine the best proxy variables to share between the models, and we quantify how carbon flux changes driven by climate, CO2 fertilization, and land use changes (e.g., deforestation) can be distinguished from each other by GCAM. The net primary production and heterotrophic respiration outputs of the Community Land Model (CLM), the land component of CESM, were found to be the most robust proxy variables by which to recalculate GCAM's assumptions of equilibrium ecosystem steady-state carbon. Carbon cycle effects of land use change are spatially limited relative to climate effects, and thus we were able to distinguish these effects successfully in the model coupling, passing only the latter to GCAM. This paper does not present results of a fully coupled simulation but shows, using a series of offline CLM simulations and an additional idealized Monte Carlo simulation, that our CESM–GCAM proxy variables reflect the phenomena that we intend and do not contain erroneous signals due to land use change. By allowing climate effects from a full ESM to dynamically modulate the economic and policy decisions of an integrated assessment model, this work will help link these models in a robust and flexible framework capable of examining two-way interactions between human and Earth system processes.

scholarly journals Carbon density and anthropogenic land-use influences on net land-use change emissions

2013 ◽  
Vol 10 (10) ◽  
pp. 6323-6337 ◽  
Author(s):  
S. J. Smith ◽  
A. Rothwell
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Secondary Forest ◽  
Land Use Changes ◽  
Forest Harvesting ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Carbon Cycle Model ◽  
Land Use Scenario ◽  
The Impact

Abstract. We examine historical and future land-use emissions using a simple mechanistic carbon-cycle model with regional and ecosystem specific parameterizations. We use the latest gridded data for historical and future land-use changes, which includes estimates for the impact of forest harvesting and secondary forest regrowth. Our central estimate of net terrestrial land-use change emissions, exclusive of climate–carbon feedbacks, is 250 GtC over the last 300 yr. This estimate is most sensitive to assumptions for preindustrial forest and soil carbon densities. We also find that land-use change emissions estimates are sensitive to the treatment of crop and pasture lands. These sensitivities also translate into differences in future terrestrial uptake in the RCP (representative concentration pathway) 4.5 land-use scenario. The estimate of future uptake obtained here is smaller than the native values from the GCAM (Global Change Assessment Model) integrated assessment model result due to lower net reforestation in the RCP4.5 gridded land-use data product.

scholarly journals A Multitarget Land Use Change Simulation Model Based on Cellular Automata and Its Application

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jun Yang ◽  
Fei Chen ◽  
Jianchao Xi ◽  
Peng Xie ◽  
Chuang Li
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Simulation Model ◽  
Land Use Planning ◽  
Driving Mechanism ◽  
Mutual Transformation ◽  
Land Resource ◽  
Simulation Accuracy ◽  
Model Based

Based on the analysis of the existing land use change simulation model, combined with macroland use change driving factors and microlocal land use competition, and through the application of Python language integrated technical approaches such as CA, GIS, AHP, and Markov, a multitarget land use change simulation model based on cellular automata(CA) is established. This model was applied to conduct scenario simulation of land use/cover change of the Jinzhou New District, based on 1:10000 map scale land use, planning, topography, statistics, and other data collected in the year of 1988, 2003, and 2012. The simulation results indicate the following: (1) this model can simulate the mutual transformation of multiple land use types in a relatively satisfactory way; it takes land use system as a whole and simultaneously takes the land use demand in the macrolevel and the land use suitability in the local scale into account; and (2) the simulation accuracy of the model reaches 72%, presenting higher creditability. The model is capable of providing auxiliary decision-making support for coastal regions with the analysis of the land use change driving mechanism, prediction of land use change tendencies, and establishment of land resource sustainable utilization policies.

Simulation Model Based on Agents for Land Use Change and Cost‐Benefit Analysis of Land Management Policies

2021 ◽  
pp. 107-114
Author(s):  
Armando Sánchez Vargas ◽  
D. Martínez Ventura ◽  
C. Gay García ◽  
A. L. Herrera Merino ◽  
Bernardo Olvera
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Simulation Model ◽  
Land Management ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Benefit Analysis ◽  
Model Based ◽  
Management Policies

scholarly journals Bioenergy-induced land-use change emissions with sectorally fragmented policies

2021 ◽  
Author(s):  
Leon Merfort ◽  
Nico Bauer ◽  
Florian Humpenöder ◽  
David Klein ◽  
Jessica Strefler ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Co2 Emissions ◽  
Emission Factor ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Policy Framework ◽  
Energy Unit ◽  
Emission Regulations ◽  
The Impact

Abstract We assess the impact of different land-use emission policies within a broader climate policy framework on bioenergy production and associated land-use carbon emissions. We use the global Integrated Assessment Model REMIND-MAgPIE integrating the energy and land-use sectors and derive alternative climate change mitigation scenarios over the 21st century. If CO2 emissions are regulated consistently across sectors, land-use change emissions of biofuels are limited to 12 kgCO2/GJ. Without land-use emission regulations applied, bioenergy-induced emissions increase substantially and the emission factor per energy unit raises to levels slightly below diesel combustion (64 kg CO2/GJ). Pricing these emissions on the level of bioenergy consumption diminishes bioenergy deployment and the associated CO2 emissions, while failing to reduce the average emission factor. Despite effective reduction of land-use emissions, undifferentiated penalization of bioenergy use substantially increases mitigation costs. If supply side policies comprehensively regulate direct and indirect emissions, bioenergy can be produced much more sustainably.

scholarly journals Carbon density and anthropogenic land use influences on net land-use change emissions

2013 ◽  
Vol 10 (3) ◽  
pp. 4157-4191
Author(s):  
S. J. Smith ◽  
A. Rothwell
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Integrated Assessment Model ◽  
Assessment Model ◽  
Climate Feedbacks ◽  
Carbon Density ◽  
Cycle Model ◽  
Carbon Cycle Model ◽  
Land Use Scenario ◽  
Anthropogenic Land Use

Abstract. We examine historical and future land-use emissions using a simple mechanistic carbon-cycle model with regional and ecosystem specific parameterizations. Our central estimate of net terrestrial land-use change emissions, exclusive of climate feedbacks, is 250 Gt C over the last three hundred years. This estimate is most sensitive to assumptions for pre-industrial forest and soil carbon densities. We also find that estimates are sensitive to the treatment of crop and pasture lands. These sensitivities also translate into differences in future terrestrial uptake in the RCP4.5 land-use scenario. This estimate of future uptake is lower than the native values from the GCAM integrated assessment model result due to lower net reforestation in the RCP4.5 gridded land-use data product.

scholarly journals Greenhouse Gas Policy Influences Climate via Direct Effects of Land-Use Change

2013 ◽  
Vol 26 (11) ◽  
pp. 3657-3670 ◽  
Author(s):  
Andrew D. Jones ◽  
William D. Collins ◽  
James Edmonds ◽  
Margaret S. Torn ◽  
Anthony Janetos ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Radiative Forcing ◽  
Climate Impacts ◽  
Earth System Model ◽  
Assessment Model ◽  
System Model ◽  
Earth System ◽  
Alternative Scenario

Abstract Proposed climate mitigation measures do not account for direct biophysical climate impacts of land-use change (LUC), nor do the stabilization targets modeled for phase 5 of the Coupled Model Intercomparison Project (CMIP5) representative concentration pathways (RCPs). To examine the significance of such effects on global and regional patterns of climate change, a baseline and an alternative scenario of future anthropogenic activity are simulated within the Integrated Earth System Model, which couples the Global Change Assessment Model, Global Land-Use Model, and Community Earth System Model. The alternative scenario has high biofuel utilization and approximately 50% less global forest cover than the baseline, standard RCP4.5 scenario. Both scenarios stabilize radiative forcing from atmospheric constituents at 4.5 W m−2 by 2100. Thus, differences between their climate predictions quantify the biophysical effects of LUC. Offline radiative transfer and land model simulations are also utilized to identify forcing and feedback mechanisms driving the coupled response. Boreal deforestation is found to strongly influence climate because of increased albedo coupled with a regional-scale water vapor feedback. Globally, the alternative scenario yields a twenty-first-century warming trend that is 0.5°C cooler than baseline, driven by a 1 W m−2 mean decrease in radiative forcing that is distributed unevenly around the globe. Some regions are cooler in the alternative scenario than in 2005. These results demonstrate that neither climate change nor actual radiative forcing is uniquely related to atmospheric forcing targets such as those found in the RCPs but rather depend on particulars of the socioeconomic pathways followed to meet each target.

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