Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/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
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ISSN | 1735-1472 |
EISSN | 1735-2630 |
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 |
推荐引用方式 GB/T 7714 | 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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