Arid
DOI10.1007/s13762-021-03676-6
Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran)
Adelisardou, F.; Zhao, W.; Chow, R.; Mederly, P.; Minkina, T.; Schou, J. S.
通讯作者Adelisardou, F (corresponding author), Eawag Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland. ; Adelisardou, F (corresponding author), Univ Tehran, Coll Engn, Sch Environm, Tehran, Iran.
来源期刊INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
ISSN1735-1472
EISSN1735-2630
出版年2021-10
英文摘要Our study uses regional-scale maps to quantify carbon storage and sequestration from different land use types to evaluate the effects of future land use scenarios. We developed an integrated modeling approach to assess the spatiotemporal impacts of land use/cover change (LUCC) on the provision and value of the carbon storage and sequestration during the historical period (2000-2019) and predicted scenarios (2019-2046) in the Jiroft plain, Iran. We integrated several analytic tools for our analysis, which was comprised of Google Earth Engine (GEE), Cellular Automata Markov Chain (CA-MC) model, Intensity Analysis (IAA), and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. Our results demonstrate that: (1) agriculture and urban expansion led to a considerable decrease in carbon storage, mainly due to rapid deforestation from 2000-2019; (2) if the historical trend continues under the business as usual (BAU) scenario, it will lead to considerable social costs due to the loss of stored carbon in the plain (2,624,113 Mg) with an annual average sequestration loss of -475,547 Mg; (3) the downward carbon sequestration trend could potentially be reversed by employing the environmentally sound planning (ESP) scenario that is estimated to save 3,705,491 Mg in carbon storage, with annual average sequestration gain of + 605,830 Mg. The design scenarios provide a useful guide for policymakers and local governments to help understand the potential outcomes of the various development strategies, which will ultimately lead to more effective ecosystem management.
英文关键词Carbon storage and sequestration Google Earth Engine InVEST Spatial-temporal dynamics Jiroft plain Iran
类型Article ; Early Access
语种英语
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:000710889000002
WOS关键词LAND-USE CHANGE ; INTENSITY ANALYSIS ; CLIMATE-CHANGE ; POTENTIAL IMPACTS ; SERVICES ; MANAGEMENT ; SENSITIVITY ; LANDSCAPE ; LINKING ; URBAN
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构北京师范大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/367612
作者单位[Adelisardou, F.; Chow, R.] Eawag Swiss Fed Inst Aquat Sci & Technol, Dubendorf, Switzerland; [Adelisardou, F.] Univ Tehran, Coll Engn, Sch Environm, Tehran, Iran; [Zhao, W.] Beijing Normal Univ, Fac Geog Sci, Beijing, Peoples R China; [Chow, R.] Stellenbosch Univ, Dept Earth Sci, Stellenbosch, South Africa; [Mederly, P.] Constantine Philosopher Univ Nitra, Dept Ecol & Environm Sci, Nitra, Slovakia; [Minkina, T.] Southern Fed Univ, Dept Soil Sci, Rostov Na Donu, Russia; [Schou, J. S.] Univ Copenhagen, Dept Food & Resource Econ, Copenhagen, Denmark
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Adelisardou, F.,Zhao, W.,Chow, R.,et al. Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran)[J]. 北京师范大学,2021.
APA Adelisardou, F.,Zhao, W.,Chow, R.,Mederly, P.,Minkina, T.,&Schou, J. S..(2021).Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran).INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY.
MLA Adelisardou, F.,et al."Spatiotemporal change detection of carbon storage and sequestration in an arid ecosystem by integrating Google Earth Engine and InVEST (the Jiroft plain, Iran)".INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2021).
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