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Review of land use impact methodologies
Institution:1. Division of Natural Resource Management, ICAR- Research Complex for NEH Region, Umiam, Shillong, Meghalaya, India;2. Global Centre for Environmental Remediation (GCER), Advanced Technology Centre, Faculty of Science, The University of Newcastle, Callaghan, Newcastle, NSW, Australia;3. Department of Agronomy, 2004 Throckmorton Plant Sciences Center, Kansas State University, Manhattan, KS, United States;4. Division of Soil Science and Agricultural Chemistry, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, India;5. ICAR-National Academy of Agriculture Research Management, Hyderabad, Telangana, India;6. Department of Soil Science, Kerala Forest Research Institute, Thrissur, Kerala, India;7. Laboratory of Soil- and Groundwater-Management, School of Architecture and Civil Engineering, Institute of Foundation Engineering, Water- and Waste-Management, University of Wuppertal, Wuppertal, Germany;8. Department of Environment, Energy and Geoinformatics, Sejong University, Seoul, Republic of Korea;9. Divison of Environmental Science and Ecological Engineering, Korea Biochar Research Center, Korea University, Seoul, South Korea;10. Biochar Engineering Technology Research Center of Guangdong Province, School of Environment and Chemical Engineering, Foshan University, Foshan, China;11. Key Laboratory of Soil Contamination Bioremediation of Zhejiang Province, Zhejiang A & F University, Hangzhou, China;12. Department of Animal, Plant and Soil Sciences, Centre for AgriBioscience, La Trobe University (Melbourne Campus), Melbourne, VIC, Australia;13. Institute of Surface-Earth System Science, Tianjin University, Tianjin, China;14. Cooperative Extension Service, Central State University, Wilberforce, OH, United States
Abstract:A review was performed of existing approaches on land use methods for LCA. Two main questions arise: how does land occupation relate to (irreversible) land changes, and what indicators are to be used to describe land use impacts. Most approaches aim at a single or limited number of indices for land use impacts, for data availability reasons. Vascular plant species density is the most common basis for an indicator. Methods using many more indicators may be seen as future sophistications, when data is available over the whole life cycle. For silviculture and agriculture crops multi-indicator scores may be applicable now to compare management techniques. Land use efficiency measured by m2.y is presently seen as the inventory step of land occupation impact assessment, but may also be a separate issue. Land management techniques in fact influence long-term changes and should be assessed as such, or not quantified at all. Further discussion and harmonisation is however required.
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