Literature DB >> 33542306

Assessing spatio-temporal patterns and driving force of ecosystem service value in the main urban area of Guangzhou.

Yi He1,2,3, Wenhui Wang1,2,3, Youdong Chen1,2,3, Haowen Yan4,5,6.   

Abstract

Increasing human activity around the world has greatly changed the natural ecosystem and the services it provides. In the past few decades, a series of significant changes have taken place in land use/land cover (LULC) in China due to the rapid growth in population, particularly in the cities of the Zhujiang Deita. However, there have been few attempts to study the co-evolution of land use/land cover change and ecosystem service value (ESV) in the main urban area of Guangzhou. Therefore, based on Landsat TM/OLI images from 1987, 1993, 1999, 2005, 2011 and 2017, the weight vector AdaBoost (WV AdaBoost) multi-classification algorithm was utilized to extract LULC data sets, and the spatiotemporal patterns of LULC over these periods were studied. The ESV was estimated and the driving force was analysed. The effect of LULC dynamics on the ESV was evaluated. The results showed that great changes have taken place in LULC in the main urban area of Guangzhou from 1987 to 2017, of which the most significant was the large-scale expansion of the built-up area that occurred through degradation of the forest and cultivated land. The proportion of forest and cultivated land decreased from 43.12% and 34.23% to 25.88% and 12.59%, respectively. The results between periods revealed a decrease in total ESVs from 5.63 × 109 yuan in 1987 to 5.27, 4.16, 4.62, 3.76 and 4.47 × 109 yuan in 1993, 1999, 2005, 2011 and 2017, respectively. In total, ESVs decreased by 1.16 billion yuan (20.61%) from 1987 to 2017. Water supply, food production, nutrient cycling and gas regulation were the four principal ecosystem service functions that affected the total ESVs. Forest, water body and cultivated land areas played a key role in ecosystem services. Therefore, we advocate that when protecting natural ecosystems in the future land use management in Guangzhou should be prioritized.

Entities:  

Year:  2021        PMID: 33542306     DOI: 10.1038/s41598-021-82497-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  8 in total

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Journal:  Sci Total Environ       Date:  2016-01-11       Impact factor: 7.963

2.  Impact of land use and land cover changes on ecosystem services in Menglun, Xishuangbanna, Southwest China.

Authors:  Huabin Hu; Wenjun Liu; Min Cao
Journal:  Environ Monit Assess       Date:  2007-12-20       Impact factor: 2.513

3.  Assessing and predicting changes of the ecosystem service values based on land use/cover change in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China.

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Journal:  Sci Total Environ       Date:  2018-11-30       Impact factor: 7.963

4.  Projected land-use change impacts on ecosystem services in the United States.

Authors:  Joshua J Lawler; David J Lewis; Erik Nelson; Andrew J Plantinga; Stephen Polasky; John C Withey; David P Helmers; Sebastián Martinuzzi; Derric Pennington; Volker C Radeloff
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

5.  Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria.

Authors:  Aisha Olushola Arowolo; Xiangzheng Deng; Olusanya Abiodun Olatunji; Abiodun Elijah Obayelu
Journal:  Sci Total Environ       Date:  2018-04-30       Impact factor: 7.963

6.  Urban agglomeration (Guangzhou-Foshan-Zhaoqing) ecosystem management under uncertainty: A factorial fuzzy chance-constrained programming method.

Authors:  H X Liu; Y P Li; L Yu
Journal:  Environ Res       Date:  2019-03-08       Impact factor: 6.498

7.  Evaluation and simulation of the impact of land use change on ecosystem services based on a carbon flow model: A case study of the Manas River Basin of Xinjiang, China.

Authors:  Zihan Xu; Weiguo Fan; Hejie Wei; Peng Zhang; Jiahui Ren; Zhicheng Gao; Sergio Ulgiati; Weidong Kong; Xiaobin Dong
Journal:  Sci Total Environ       Date:  2018-10-18       Impact factor: 7.963

8.  Uncertainty of Monetary Valued Ecosystem Services - Value Transfer Functions for Global Mapping.

Authors:  Stefan Schmidt; Ameur M Manceur; Ralf Seppelt
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  8 in total
  2 in total

1.  Trade-Off and Projecting Effects of Land Use Change on Ecosystem Services under Different Policies Scenarios: A Case Study in Central China.

Authors:  Zhengxin Ji; Hejie Wei; Dong Xue; Mengxue Liu; Enxiang Cai; Weiqiang Chen; Xinwei Feng; Jiwei Li; Jie Lu; Yulong Guo
Journal:  Int J Environ Res Public Health       Date:  2021-03-29       Impact factor: 3.390

2.  Ecosystem Service Values in the Dongting Lake Eco-Economic Zone and the Synergistic Impact of Its Driving Factors.

Authors:  Guangchao Li; Wei Chen; Xuepeng Zhang; Zhen Yang; Pengshuai Bi; Zhe Wang
Journal:  Int J Environ Res Public Health       Date:  2022-03-07       Impact factor: 3.390

  2 in total

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