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Relevant bibliographies by topics / Land use optimization

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Academic literature on the topic 'Land use optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Land use optimization"

1

Makarenko, V., G. Ruecker, R. Sommer, N. Djanibekov, G. Strunz, and O. Kolodyazhnyy. "GIS-based genetic algorithm optimization tool for supporting land use and land management restructuring." Kosmìčna nauka ì tehnologìâ 13, no. 1s (December 30, 2007): 33–37. http://dx.doi.org/10.15407/knit2007.01s.033.

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Yao, Jing, Xiaoxiang Zhang, and Alan T. Murray. "Spatial Optimization for Land-use Allocation." International Regional Science Review 41, no. 6 (September 1, 2017): 579–600. http://dx.doi.org/10.1177/0160017617728551.

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Land-use allocation has long been an important area of research in regional science. Land-use patterns are fundamental to the functions of the biosphere, creating interactions that have substantial impacts on the environment. The spatial arrangement of land uses therefore has implications for activity and travel within a region. Balancing development, economic growth, social interaction, and the protection of the natural environment is at the heart of long-term sustainability. Since land-use patterns are spatially explicit in nature, planning and management necessarily must integrate geographical information system and spatial optimization in meaningful ways if efficiency goals and objectives are to be achieved. This article reviews spatial optimization approaches that have been relied upon to support land-use planning. Characteristics of sustainable land use, particularly compactness, contiguity, and compatibility, are discussed and how spatial optimization techniques have addressed these characteristics are detailed. In particular, objectives and constraints in spatial optimization approaches are examined.

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Biłozor, Andrzej, Małgorzata Renigier-Biłozor, and Aleksandra Furman. "Multi-Criteria Land use Function Optimization." Real Estate Management and Valuation 22, no. 4 (February 6, 2015): 81–91. http://dx.doi.org/10.2478/remav-2014-0039.

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Abstract Space as a public good should be used in a way that is consistent with recognized social, cultural, aesthetic, economical and ecological values. The optimization of space is associated with its limitations, thus it should be subjected to rational management. Optimizing the function of city space involves identifying the most mismatched features of the area and a proposal to convert them into functions best suited with respect to the existing natural and anthropogenic, social, economic and ecological conditions. The selection criteria of the optimal use of land will be presented, as well as the parameters characterizing them and the possibility of using chosen multi-criteria methods of analysis. Social, economic and ecological criteria adopted for the analysis are the basis for the sustainable development of an area and coincide with factors which ought to be taken into account during the development of land-planning documents.

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Sadeghi, S. H. R., Kh Jalili, and D. Nikkami. "Land use optimization in watershed scale." Land Use Policy 26, no. 2 (April 2009): 186–93. http://dx.doi.org/10.1016/j.landusepol.2008.02.007.

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Tsybulska, S., N. Hradovych, and R. Paraniak. "Scientific and practical aspects of land use optimization in the agrosphere." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, no. 93 (September 30, 2020): 90–96. http://dx.doi.org/10.32718/nvlvet-a9316.

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The article presents modern literature data on the need to improve the development of agricultural lands, taking into account the current state of agriculture. Paying attention to this issue requires special attention, as it has acquired not only theoretical but also practical significance. Intensification of negative tendencies of anthropogenic influence on edaphotope lead to a number of ecological crises of global character. We analyzed the state of land use of Lviv region and reflected the main problems of land use optimization. The dynamics of changes that took place in the structure of the land fund by types of lands is shown. An extremely important component of sustainable development of society is the quality of life provided by the continuous development of environmental innovations. The destruction of the structure of the edaphotope of the region causes the emergence and development of environmental crises and catastrophes. Preservation of high potential and quality functioning of edaphos requires changes to the constant effective maintenance of balance, which should be based on the principles of sustainable harmonious development and rationalization of land resources. In terms of regions of aridity coefficients according to research, it can be argued that natural and climatic conditions have a direct impact on the efficiency of agricultural production. Such results require a review of technologies, their modernization and the development of recommendations for their adaptation. Resource-saving land use of new territorial entities in the post-reform period includes two factors – economic and environmental. For proper organization and optimization of land holdings, it is advisable to create agro-landscapes with a clearly planned structure, which should take into account the ratio of functional-territorial orientation, economic assessment and environmental safety. This means that the main and main goal of harmonious targeted use should take into account a number of indicators of the land use system, which requires special attention to agroecosystems in the interdependent close development of environmental and economic aspects. No less important is the environmental factor of land use, as further ignoring it can create economic collapse. In this regard, the most important requirement of the time is the development, improvement and widespread implementation of resource- and energy-saving, environmentally friendly farming systems. Ecological tolerance of certain territories of land resources should be laid down in the process of designing land management developments, paying special attention to the properties of landscape ecosystems, taking into account adjacent land plots. In particular, in order to preserve the balance of agricultural landscapes, it is necessary to implement a set of preventive measures.

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Kaminsky, V. F., and V. F. Saiko. "Optimization of land as the main component of their effective use." Interdepartmental thematic scientific collection "Agriculture" 1, no. 92 (June 7, 2017): 3–7. http://dx.doi.org/10.31073/zem.92.3-7.

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The article analyzes the use of agricultural land in Ukraine and substantiates the ways of rational use and protection of land resources. The problems of effective use of agricultural lands are investigated. Factors affecting the productivity of agricultural land are considered.

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Jahanshahloo, L., and E. Haghi. "Fuzzy optimization model for land use change." Journal of Fuzzy Set Valued Analysis 2014 (2014): 1–13. http://dx.doi.org/10.5899/2014/jfsva-00164.

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STRANGE, NIELS, HENRIK MEILBY, and PETER BOGETOFT. "LAND USE OPTIMIZATION USING SELF-ORGANIZING ALGORITHMS." Natural Resource Modeling 14, no. 4 (June 28, 2008): 541–74. http://dx.doi.org/10.1111/j.1939-7445.2001.tb00073.x.

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Yanfang, Liu, and Huang Liang. "Land use structure optimization under systematic framework." Geo-spatial Information Science 5, no. 3 (January 2002): 46–52. http://dx.doi.org/10.1007/bf02826388.

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Taratula, Ruslana, Oleksandra Kovalyshyn, Zoriana Ryzhok, and Svitlana Malakhova. "Application of Mathematical Modelling for Optimization of Land-Use Management." Real Estate Management and Valuation 27, no. 3 (September 1, 2019): 59–68. http://dx.doi.org/10.2478/remav-2019-0025.

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Abstract The work has approved the methods of partial economic evaluation of lands by the indicators of yield capacity of agricultural crops, payback of expenditures and differential income for a typical agricultural enterprise, located on the territory of the natural-agricultural province of the Western Forest-steppe. The research supplies proposals concerning improvement of the methods of economic evaluation of lands in Ukraine on the example of the indicators of economic evaluation of the land use at the farming enterprise “GREEN GARDEN”. The indicators are used for the growing of agricultural crops, planning their yield capacity, comparison of the economic fertility of soils and determination of the economic results of growing agricultural crops under the current production conditions in a defined working area. The research proposes the optimization of land-use management, applying a metrical game on the basis of indicators of the economic evaluation of lands to define the optimal share of agricultural crops in crop rotation. This method can be used to optimize land use in any region. Application of mathematical modeling by indicators of differential income ensures that maximum gross income is obtained under the mixed strategy of the game on better and worse soils in the enterprise.

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Dissertations / Theses on the topic "Land use optimization"

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Yim, Ka-wing. "A reliability-based land use and transportation optimization model." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B34618879.

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Yim, Ka-wing, and 嚴家榮. "A reliability-based land use and transportation optimization model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B34618879.

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Wu, Xiaolan. "Quantification and optimization of spatial contiguity in land use planning." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1124216715.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xiv, 2-9, 9-126, 131-145 p.; also includes graphics (some col.). Includes bibliographical references (p. 135-145). Available online via OhioLINK's ETD Center

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Alayli, Berna. "Land Use Optimization For Improved Transportation System Performance, Case Study:ankara." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12608186/index.pdf.

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This thesis investigates the effects of urban land use on transportation system performance in terms of various land use factors such as density, mixed or single land use, jobs-housing balance, street patterns, transit accessibility. Reviewed studies show that urban land use has considerable effects on transportation system performance measures which are average travel distances per person, level of service, air quality, gasoline consumption etc. Based on the obtained results, it is concluded that one of the basic reasons behind increasing auto dependency and outcoming problems in recent years is lack of coordination between land use and transportation system. The obtained results are used to analyze land use impacts on transportation system of Ankara. Urban transportation planning decisions, deficiencies in implementation and resulted problems are discussed in terms of land use and transportation interaction. Possible land use regulations which can contribute to relieve transportation problems of Ankara are proposed.

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Qi, Honghai. "Integrated watershed management and agricultural land-use optimization under uncertainty /." Full text available from ProQuest UM Digital Dissertations, 2006. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1800276551&SrchMode=1&sid=13&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1258492716&clientId=22256.

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Thesis (Ph.D.)--University of Mississippi, 2006.
Typescript. Vita. Major professor: Dr. Mustafa Altinakar "December 2006." Includes bibliographical references (leaves 217-239). Also available online via ProQuest to authorized users.

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Shah, Bashir Hussain. "Land use optimization and sediment yield model for Siran Watershed (Pakistan)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/191104.

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The main objective of this study is an assessment of the potential of applying land use optimization methods for minimizing the sediment yield from catchments. The study area is the Siran watershed, a subwatershed of the Tarbela watershed in Pakistan which drains directly into the Tarbela reservoir. It has an area of 4Ub sq. miles and receives 47.82 inches annual average precipitation. The main land use practices on the Siran Watershed are agriculture, rangeland grazing and forestry. A stochastic model for simulating daily precipitation and another for simulating daily maximum temperatures are developed for the area. The synthetic daily precipitation events are transformed into daily streamflows by the soil moisture counting streamflow model using the synthetic daily maximum temperatures as input. The streamtlow model, called the Generalized Streamflow Simulation System, is modified and used for simulating baseflow recessions. The stochastic precipitation model, the stochastic temperature model and the deterministic streamflow models were combined with the deterministic sediment yield model for simulating sediment yield from the watershed. The modified Universal Soil Loss Equation was used for simulating sediment yield. Parameters at these models were determined from data taken on the Siran Watershed. A linear program was used for land use optimization to minimize sediment yield and maximize watershed production. Both optimization processes ended up with the same land use areas allocating the Maximum area for forests. The expected sediment yield was reduced by 2.5 times and production of watershed was doubled. Optimization of crops was accomplished by maximizing the production of agriculture lands. This resulted in the allocation of major agriculture land areas for apple orchards. By adopting the final optimized land use practices, the sediment yield can be reduced to half and watershed production can be increased six times. The results of the present study are encouraging and indicate that application of land use optimization methods for reducing sediment yields nave great potential on the study area and on other subwatersheds of the Tarbela and Manyla Watersheds. The methodology developed in this study can provide a useful tool for watershed managers to reduce sediment yields and increase the income of the local inhabitants by maximizing the agriculture production in other parts of the country.

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Hallmann, Fanfan Weng. "Uncertainty, Emerging Biomass Markets, and Land Use." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37819.

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In this dissertation, we study the effects of emerging biomass markets on land use changes between alternatives of agricultural production, conventional timber production, and forest woody biomass production for energy use. Along with the uncertainty associated with woody biomass prices and rents, transaction costs incurred to land use play an important role in land allocation decisions and make this study distinct from other work. In Chapter 1, we introduce the background and objectives of our study. In Chapter 2, we analyze the behavior of a risk-neutral private landowner and social planner under uncertainty of woody biomass prices, assuming that there is a market emergence at some unknown time point in the future. Market emergence is characterized by a price jump and a certain timing of the price jump. Six different price jumps and five different timings of bioenergy market emergence are adopted to study their collective effects on land use change between agriculture and forestry. Chapter 3 studies this problem for a risk-averse private landowner. Two measures of relative risk aversion are used to examine how a landownerâ s preference may affect his or her land use decision. In Chapter 2, we find that, for three different quality categories of land, land rents from forestry increase significantly for higher price jumps and decreases in the length of time until bioenergy market emergence. One of the most important results is concerned with the presence of transaction costs. Here, we find that these costs may require unrealistic market emergence scenarios to lead to bioenergy adoption on any large scale. This result is even more likely with nonlinear transaction costs. Land allocation decisions in Chapter 3 are distinctly different from those in Chapter 2, due to the introduction of landowner risk aversion. In certain market emergence cases, some land units retain in agriculture entirely when the landowner is risk averse . The Chapter 4 studies a stochastic optimization problem of land use, assuming that woody biomass rents follow a stochastic diffusion called geometric Brownian motion that is later discretized by a binomial option pricing approach. The problems in Chapters 2 and 3 assume that the landowner must make all decisions at the beginning of his or her time horizon. This assumption is relaxed in Chapter 4. Now, the landowner is allowed to revise his or her land allocation decision among three alternatives over time as information about market emergence is collected. We observe that the different forms of transaction costs are not as significant as in Chapters 2 and 3. However, different values of volatility of forest biomass rents give rise to different land allocation decisions, especially for the land of high quality.
Ph. D.

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Yeo, In-Young. "Multistage hierarchical optimization for land use allocation to control nonpoint source water pollution." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1127156412.

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Thesis (Ph. D.)--Ohio State University, 2005.
Title from first page of PDF file. Document formatted into pages; contains xvii, 180 p.; also includes graphics (some col.). Includes bibliographical references (p. 156-171). Available online via OhioLINK's ETD Center

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Kovalskyy, Valeriy. "Application of Heuristic Optimization Techniques in Land Evaluation." Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1102709552.

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Wang, Chih-Hao. "LAND-USE ALLOCATION AND EARTHQUAKE DAMAGE MITIGATION:A COMBINED SPATIAL STATISTICS AND OPTIMIZATION APPROACH." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1372552622.

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Books on the topic "Land use optimization"

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Zhongguo nong cun tu di zhi du gai ge lu jing you hua: The optimization path of reformation in rural land of China. Beijing Shi: She hui ke xue wen xian chu ban she, 2008.

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Zhongguo nong cun tu di zhi du gai ge lu jing you hua: The optimization path of reformation in rural land of China. Beijing Shi: She hui ke xue wen xian chu ban she, 2008.

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Zhongguo nong cun tu di zhi du gai ge lu jing you hua: The optimization path of reformation in rural land of China. Beijing Shi: She hui ke xue wen xian chu ban she, 2008.

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Sheng tai yong di jie gou you hua yu shi di bao hu li yong: Yi Hubei Sheng wei li = Optimization of Eco-land structure and protective utilization of wetlands : a case study of Hubei province. Beijing: Ke xue chu ban she, 2012.

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Jones, J. Greg. An application of discrete optimization for developing economically efficient multiple-use projects. Ogden, UT: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1985.

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Jones, J. Greg. An application of discrete optimization for developing economically efficient multiple-use projects. Ogden, Utah: U.S. Dept. of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, 1985.

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Spatio-temporal Analysis and Optimization of Land Use/Cover Change. CRC Press, 2017. http://dx.doi.org/10.4324/9781315265292.

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Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics. Taylor & Francis Group, 2013.

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Putman, Stephen H. Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics. Taylor & Francis Group, 2015.

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Liu, Biao, Bo Huang, and Wenting Zhang. Spatio-Temporal Analysis and Optimization of Land Use/Cover Change: Shenzhen As a Case Study. Taylor & Francis Group, 2017.

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Book chapters on the topic "Land use optimization"

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Zhu, Yanjie, and Zhihui Feng. "Differential Evolution for Optimization of Land Use." In Lecture Notes in Computer Science, 499–504. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13495-1_61.

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Guruji, Ashish, and Prasit Agnihotri. "Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS)." In Intelligent Computing & Optimization, 448–54. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00979-3_47.

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Ma, Xiaoya, Xiang Zhao, Ping Jiang, and Yuangang Liu. "High-Performance Pareto-Based Optimization Model for Spatial Land Use Allocation." In Geotechnologies and the Environment, 185–209. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47998-5_11.

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Berawi, Mohammed Ali, Van Basten, Fuad Adrian Iskandar, and Gunawan Gunawan. "Land Use Optimization Based on Transit-Oriented Development with Linear Programming." In Collaboration and Integration in Construction, Engineering, Management and Technology, 625–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48465-1_103.

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Wei, Jinli, Shengyou Wang, Shouhui Duan, and Chen Qi. "Optimization of Public Transit Network Caused by Adjustment of Land Use." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 330–39. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2672-0_34.

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Liang, Yan-ping, Shu-juan Cui, and Xue Hou. "Optimization Model of Land Use Surrounding Rail Transit Stations Based on TOD." In The 2nd International Symposium on Rail Transit Comprehensive Development (ISRTCD) Proceedings, 197–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37589-7_20.

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Sommer, Rolf, Nodir Djanibekov, Marc Müller, and Omonbek Salaev. "Economic-Ecological Optimization Model of Land and Resource Use at Farm-Aggregated Level." In Cotton, Water, Salts and Soums, 267–83. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1963-7_17.

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Zhang, Jun, and Atif Osmani. "Economic and Land-Use Optimization of Lignocellulosic-Based Bioethanol Supply Chains Under Stochastic Environment." In Handbook of Bioenergy, 219–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20092-7_9.

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Miao, Zuohua, Yong Chen, and Xiangyang Zeng. "CA Model of Optimization Allocation for Land Use Spatial Structure Based on Genetic Algorithm." In Artificial Intelligence and Computational Intelligence, 671–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23881-9_85.

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Wang, Hua, Weiwei Li, Jiqiang Niu, and Dianfeng Liu. "The Use of the Multi-objective Ant Colony Optimization Algorithm in Land Consolidation Project Site Selection." In Lecture Notes in Computer Science, 604–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57881-7_53.

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Conference papers on the topic "Land use optimization"

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Nanlin Jin, Mette Termansen, and Klaus Hubacek. "Genetic Algorithms for dynamic land-use optimization." In 2008 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2008. http://dx.doi.org/10.1109/cec.2008.4631315.

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Davood - Nikkami, Hadi - Chamheidar, Mohammad Hossein - Mahdian, and Ebrahim - Pazira. "Soil Loss Minimization through Land Use Optimization." In 21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, May 27-June 1, 2012, Bari, Italy. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2012. http://dx.doi.org/10.13031/2013.41436.

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Singh, A. N., G. V. Deepthi, and Anupam Singhal. "Land use/ land cover information from various classification methods of Shekhawati region of Rajasthan." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7754871.

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Danilov, Dmitry А., Alexander L. Ilves, and Lyudmila P. Smolina. "Criteria for Assessing the Quality of Cultivable Land in Land Use Optimization." In International scientific and practical conference "AgroSMART - Smart solutions for agriculture" (AgroSMART 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/agrosmart-18.2018.24.

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Huang Hai. "Multi-objective particle swarm optimization for land use structure." In 2010 Second International Conference on Computational Intelligence and Natural Computing (CINC). IEEE, 2010. http://dx.doi.org/10.1109/cinc.2010.5643853.

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Qian, Min, Lijie Pu, Ming Zhu, and Lingyan Weng. "Spatial optimization method for sustainable multiobjective land use allocation." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567520.

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FX, Sumarja. "Optimization of Land Use in Development of Sustainable Tourism." In Proceedings of the 1st Warmadewa Research and Development Seminar (WARDS),30 October 2018, Denpasar-Bali, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.30-10-2018.2281453.

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QiuYing, Tong, Wu XiZi, Yang SuoHua, and Zhang YiRan. "Multi-objective Spatial Optimization Model for Land Use Allocation." In 2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, 2021. http://dx.doi.org/10.1109/agro-geoinformatics50104.2021.9530330.

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Tesfaye Demissie, Daniel E. Storm, and Michael White. "A GIS-Based Watershed Modeling and Water Resources Use Optimization under Dynamic Changing Land Use/Land Cover Conditions." In 2004, Ottawa, Canada August 1 - 4, 2004. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2004. http://dx.doi.org/10.13031/2013.16191.

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Alem, Abebaw, and Shailender Kumar. "Deep Learning Methods for Land Cover and Land Use Classification in Remote Sensing: A Review." In 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2020. http://dx.doi.org/10.1109/icrito48877.2020.9197824.

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Reports on the topic "Land use optimization"

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Cai, Yongxia, Christopher M. Wade, Justin S. Baker, Jason P. H. Jones, Gregory S. Latta, Sara B. Ohrel, Shaun A. Ragnauth, and Jared R. Creason. Implications of alternative land conversion cost specifications on projected afforestation potential in the United States. RTI Press, November 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0057.1811.

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The Forestry and Agriculture Sector Optimization Model with Greenhouse Gases (FASOMGHG) has historically relied on regional average costs of land conversion to simulate land use change across cropland, pasture, rangeland, and forestry. This assumption limits the accuracy of the land conversion estimates by not recognizing spatial heterogeneity in land quality and conversion costs. Using data from Nielsen et al. (2014), we obtained the afforestation cost per county, then estimated nonparametric regional marginal cost functions for land converting land to forestry. These afforestation costs were then incorporated into FASOMGHG. Three different assumptions for land moving into the forest sector were run; constant average conversion cost, static rising marginal costs and dynamic rising marginal cost, in order to assess the implications of alternative land conversion cost assumptions on key outcomes, such as projected forest area and cropland use, carbon sequestration, and forest product output.

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