Spatio-temporal variations of habitat quality in the Greater Bay Area around Hangzhou Bay, based on LUCC and simulation

被引:1
|
作者
He, Yu [1 ]
Ai, Wanzheng [2 ]
机构
[1] Zhejiang Ocean Univ, Sch Marine Sci & Technol, Zhoushan 316022, Peoples R China
[2] Zhejiang Ocean Univ, Sch Naval Architecture & Maritime, Zhoushan 316022, Peoples R China
关键词
Greater Area around Hangzhou Bay; habitat quality; land use-cover change; InVEST model; LUCC; PLUS model; scenario simulation; spatial autocorrelation; ECOSYSTEM SERVICES; CHINA; INDICATORS;
D O I
10.1071/MF23242
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Context. Habitat quality (HQ) is vital for achieving sustainable regional development. Understanding the spatial patterns and temporal evolution of HQ in the context of land use-cover change (LUCC) is crucial for promoting ecological civilisation and high-quality growth, especially for regions with rapid economic development. Aims. In order to analyse the impact of LUCC on habitat quality in the coastal areas with frequent human activities. Methods. This study focused on the Greater Bay Area around Hangzhou Bay and analysed the HQ on the basis of LUCC data during 2010-2020 by using the InVEST model and spatial autocorrelation analysis. Additionally, land-use data for multiple scenarios in 2030 were predicted using the PLUS model, and the variations in land use and HQ in the study region during 2020-2030 were assessed. Key results. During 2010-2020, the construction land in the region expanded by 1932.79 km(2), primarily at the expense of cropland and water areas. The mean HQ values were 0.6287, 0.6181 and 0.6037 for 2010, 2015 and 2020 respectively, indicating a continuous decline. Spatially, HQ exhibited strong clustering during this period. However, there was a clear trend of fragmentation and reduction in 'high-high' cluster areas along the coast, mostly owing to the transformation of water areas and wetlands into construction land and cropland. In the projected scenarios (natural development, ND; economic development, ED; crop protection, CP; and ecological protection, EP) for 2030, the mean HQ values are estimated to be 0.5881, 0.5837, 0.5915 and 0.5965 respectively. Compared with 2020, there will be a certain decrease in HQ, with the EP scenario showing the lowest decrease of 0.0052. Conclusions. The HQ changes were closely linked to LUCC, the construction-land expansion was the main cause of HQ destruction in the Greater Bay Area around Hangzhou Bay. To alleviate the trend of declining HQ, it is essential to select appropriate development scenarios for each city in the region and coordinate the development of the cities. Implications. These findings provide valuable insights for promoting sustainable economic growth in the Greater Bay Area around Hangzhou Bay.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Spatio-temporal analysis and driving forces of urban ecosystem resilience based on land use: A case study in the Great Bay Area
    Meng, Zirui
    He, Mengxuan
    Li, Xuemei
    Li, Hongyuan
    Tan, Yidan
    Li, Zhen
    Wei, Yuan
    ECOLOGICAL INDICATORS, 2024, 159
  • [32] The impact of energy metabolic pattern on household carbon emissions: A spatio-temporal perspective in Guangdong-Hong Kong-Macao Greater Bay Area
    Chen, Lei
    Luo, Jiahan
    Cai, Guotian
    Xia, Linlin
    Wang, Yongyang
    Xu, Linyu
    SUSTAINABLE CITIES AND SOCIETY, 2025, 119
  • [33] Spatio-temporal evolution and gravity center change of carbon emissions in the Guangdong-Hong Kong-Macao greater bay area and the influencing factors
    Li, Lei
    Li, Junfeng
    Wang, Xilong
    Sun, Shujie
    HELIYON, 2023, 9 (06)
  • [34] Spatio-temporal variation of nitrate based on Landsat 8 in Playa Colorada bay, Sinaloa, Mexico
    Luis Carlos González-Márquez
    Franklin M. Torres-Bejarano
    Ivette Renée Hansen-Rodríguez
    Ramiro Ahumada-Cervantes
    Environmental Monitoring and Assessment, 2023, 195
  • [35] The amphipod community as a bioindicator in Algeciras bay (southern Iberian peninsula) based on a spatio-temporal distribution
    Conradi, M
    LopezGonzalez, PJ
    GarciaGomez, C
    MARINE ECOLOGY-PUBBLICAZIONI DELLA STAZIONE ZOOLOGICA DI NAPOLI I, 1997, 18 (02): : 97 - 111
  • [36] Spatio-temporal variation of nitrate based on Landsat 8 in Playa Colorada bay, Sinaloa, Mexico
    Carlos Gonzalez-Marquez, Luis
    Torres-Bejarano, Franklin M.
    Renee Hansen-Rodriguez, Ivette
    Ahumada-Cervantes, Ramiro
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (01)
  • [37] Comparison of habitat models in quantifying the spatio-temporal distribution of small yellow croaker (Larimichthys polyactis) in Haizhou Bay, China
    Zhang, Yunlei
    Xu, Binduo
    Ji, Yupeng
    Zhang, Chongliang
    Ren, Yiping
    Xue, Ying
    ESTUARINE COASTAL AND SHELF SCIENCE, 2021, 261
  • [38] Spatio-temporal modelling of referrals to outpatient respiratory clinics in the integrated care system of the Morecambe Bay area, England
    Rachael Mountain
    Jo Knight
    Kelly Heys
    Emanuele Giorgi
    Timothy Gatheral
    BMC Health Services Research, 24
  • [39] Spatio-temporal distribution and source analysis of nutrients and antibiotics in the waters of a mariculture area in Haizhou Bay, Yellow Sea
    Wang, Liyuan
    Jin, Wei
    Xie, Siqi
    Wang, Shuo
    Zhang, Ruilin
    Xue, Dong
    Chen, Yangjun
    He, Xinran
    Feng, Zhihua
    REGIONAL STUDIES IN MARINE SCIENCE, 2024, 79
  • [40] Advancing Regional-Scale Spatio-Temporal Dynamics of FFCO2 Emissions in Great Bay Area
    Zhao, Jing
    Zhao, Qunqun
    Huang, Wenjiang
    Li, Guoqing
    Wang, Tuo
    Mou, Naixia
    Yang, Tengfei
    REMOTE SENSING, 2024, 16 (13)