Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas

Guo Cai; Yuying Lin; Fazi Zhang; Shihe Zhang; Linsheng Wen; Baoyin Li

doi:10.3390/land11122333

Land (Dec 2022)

Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas

Guo Cai,
Yuying Lin,
Fazi Zhang,
Shihe Zhang,
Linsheng Wen,
Baoyin Li

Affiliations

Guo Cai: State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China
Yuying Lin: School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Fazi Zhang: School of Culture, Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China
Shihe Zhang: College of Resources and Environment, Southwest University, Chongqing 400700, China
Linsheng Wen: State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China
Baoyin Li: State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350117, China

DOI: https://doi.org/10.3390/land11122333
Journal volume & issue: Vol. 11, no. 12
p. 2333

Abstract

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Assessing the influence of landscape pattern changes on ecosystem service value (ESV) is critical for developing land-use polies and increasing ecosystem services. The data sources include remote-sensing image data and statistical yearbooks from 2000, 2010, and 2020. This study employs the patch-generating land-use simulation model, landscape pattern index, and ecological service value estimation to analyse the changes in landscape patterns and ESV in Fujian coastal areas over the last 20 years. The landscape pattern and ESV in the future (2050) are then simulated under the low-carbon scenario (LCS), with the natural development scenario (NDS) serving as a comparison. The results show that: (1) the most noticeable changes from 2000 to 2020 are the reduced cultivated land area and the rapid expansion of construction land area. By 2050, construction land will account for 7.67% of the total land area under LCS, whereas NDS will account for 9.45%, and changes in the landscape pattern indices all indicate there will be greater variety and fragmentation of the landscape, with the NDS being more serious than the LCS; (2) From 2000–2020, the total ESV value showed a decreasing trend. In 2050, the ESV under the LCS will be 122.387 billion yuan, which is higher than the 121.434 billion yuan under the NDS. Regulating services contribute the most to the total ESV, followed by support services; and (3) In the past 20 years, except for a slight increase in water area, the ESV of other landscapes has decreased, with a net decrease of 3.134 billion yuan in total. The R2 fitting between the area change of cultivated and construction land and the total ESV reached 0.9898 and 0.9843, respectively. The correlations between ESV and landscape indices indicate that landscape pattern changes significantly impact ESV. Simulating ESV in LCS can provide guidance for optimising landscape patterns, promoting the benign operation of the regional ecosystem, and achieving sustainable ecological development.

Published in Land

ISSN: 2073-445X (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Agriculture
Website: http://www.mdpi.com/journal/land

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