Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China
Revealing the spatiotemporal evolution of ecosystem service value (ESV) is a prerequisite for regional ecosystem management. This paper integrates the Geo-informatic Tupu method, the Markov transfer model, and the Barycenter model to propose an analytical method for the spatiotemporal response of ES...
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Format: | Article |
Language: | English |
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Elsevier
2023-10-01
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Series: | Ecological Indicators |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23006532 |
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author | Haixiao Long Lei Yuan Zhenglin Yin Xiaowei Wu |
author_facet | Haixiao Long Lei Yuan Zhenglin Yin Xiaowei Wu |
author_sort | Haixiao Long |
collection | DOAJ |
description | Revealing the spatiotemporal evolution of ecosystem service value (ESV) is a prerequisite for regional ecosystem management. This paper integrates the Geo-informatic Tupu method, the Markov transfer model, and the Barycenter model to propose an analytical method for the spatiotemporal response of ESV to land use/cover change(LUCC). Taking Tianjin as the empirical study area, we estimated its ESV and spatiotemporal transfer, rise and fall changes, and migration of the barycenter. The results showed that: (1) The land use composite index of Tianjin increased, and land use changes tended to level off throughout the study period. (2) From 2000 to 2020, ESV rose and then fell, with a total decrease of 8.03 billion RMB. (3) The change of Tupu is most dramatic in Xiqing, Binhai New Area, and Dongli, where economic and social growth is rapid. The barycenter of transfer Tupu shifts from centralized distribution to decentralized distribution around Dongli, and the ESV tends to increase to the south. (4) LUCC, NDVI, and DEM mainly drive the spatial heterogeneity of ESV in Tianjin. This research offers new insights into the spatiotemporal evolution analysis of ESV and could provide scientific references for regional ecological management and policy formulation. |
first_indexed | 2024-03-12T00:11:32Z |
format | Article |
id | doaj.art-d5a6ec721c874f6f84b7a3359425e7cf |
institution | Directory Open Access Journal |
issn | 1470-160X |
language | English |
last_indexed | 2024-03-12T00:11:32Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Ecological Indicators |
spelling | doaj.art-d5a6ec721c874f6f84b7a3359425e7cf2023-09-16T05:29:08ZengElsevierEcological Indicators1470-160X2023-10-01154110511Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, ChinaHaixiao Long0Lei Yuan1Zhenglin Yin2Xiaowei Wu3Faculty of Geography, Yunnan Normal University, Kunming 650500, ChinaFaculty of Geography, Yunnan Normal University, Kunming 650500, China; Corresponding authors.Faculty of Geography, Yunnan Normal University, Kunming 650500, ChinaYunnan Surveying and Mapping Institute Co. Ltd., Kunming 650218, China; Corresponding authors.Revealing the spatiotemporal evolution of ecosystem service value (ESV) is a prerequisite for regional ecosystem management. This paper integrates the Geo-informatic Tupu method, the Markov transfer model, and the Barycenter model to propose an analytical method for the spatiotemporal response of ESV to land use/cover change(LUCC). Taking Tianjin as the empirical study area, we estimated its ESV and spatiotemporal transfer, rise and fall changes, and migration of the barycenter. The results showed that: (1) The land use composite index of Tianjin increased, and land use changes tended to level off throughout the study period. (2) From 2000 to 2020, ESV rose and then fell, with a total decrease of 8.03 billion RMB. (3) The change of Tupu is most dramatic in Xiqing, Binhai New Area, and Dongli, where economic and social growth is rapid. The barycenter of transfer Tupu shifts from centralized distribution to decentralized distribution around Dongli, and the ESV tends to increase to the south. (4) LUCC, NDVI, and DEM mainly drive the spatial heterogeneity of ESV in Tianjin. This research offers new insights into the spatiotemporal evolution analysis of ESV and could provide scientific references for regional ecological management and policy formulation.http://www.sciencedirect.com/science/article/pii/S1470160X23006532Ecosystem service valueLand use/cover changeGeo-informatic TupuMarkov transfer modelBarycenter model |
spellingShingle | Haixiao Long Lei Yuan Zhenglin Yin Xiaowei Wu Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China Ecological Indicators Ecosystem service value Land use/cover change Geo-informatic Tupu Markov transfer model Barycenter model |
title | Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China |
title_full | Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China |
title_fullStr | Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China |
title_full_unstemmed | Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China |
title_short | Spatiotemporal of ecosystem service values response to land use/cover change based on geo-informatic Tupu – A case study in Tianjin, China |
title_sort | spatiotemporal of ecosystem service values response to land use cover change based on geo informatic tupu a case study in tianjin china |
topic | Ecosystem service value Land use/cover change Geo-informatic Tupu Markov transfer model Barycenter model |
url | http://www.sciencedirect.com/science/article/pii/S1470160X23006532 |
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