Journal of Guangxi Normal University(Natural Science Edition) ›› 2025, Vol. 43 ›› Issue (3): 170-182.doi: 10.16088/j.issn.1001-6600.2024080502

• Ecology and Environmental Science Research • Previous Articles     Next Articles

Spatial and Temporal Evolution and Prediction of Habitat Quality in Fujian Province, 2000-2020

JIN Run1,2, HE Li1,2*, LUO Fang2, HE Zhengwei2, LI Dan2, LIN Zhiyu2, HUANG Yuna2   

  1. 1. Key Laboratory of Coupling Process and Effect of Natural Resources Elements (Command Center of Natural Resource Comprehensive Survey), Beijing 100055, China;
    2. College of Geography and Planning, Chengdu University of Technology, Chengdu Sichuan 610059, China
  • Received:2024-08-05 Revised:2024-09-03 Online:2025-05-05 Published:2025-05-14

Abstract: Habitat quality indicates the capacity of regional ecosystems to supply essential services. Quantitatively assessing its spatial and temporal evolution and forecasting future changes are critical for high-quality regional development. This study focused on Fujian Province, where the InVEST model and GEO-detector were used to quantitatively analyze the spatial and temporal dynamics of habitat quality and its driving factors. Additionally, the PLUS model was used to simulate and predict the spatial and temporal distributions of land use and habitat quality in Fujian Province from 2020 to 2040. The findings revealed that: 1) Between 2000 and 2020, there had been a decline in cultivated land, forest land, and grassland in Fujian Province, with the most significant reductions occurring in the southeastern coastal and adjacent areas, where these lands had largely been converted to urban development. 2) Habitat quality in Fujian Province from 2000 to 2020 was generally good, with a slight decreasing trend in average habitat quality. The northwest of Nanping City, and the middle and upper areas of the Minjiang River had relatively high habitat quality, while the coastal areas of Zhangzhou, Xiamen, and Putian had low habitat quality. 3) The PLUS model predicted that under the cropland and ecological protection scenarios, the area of cropland, forest land, and grassland in Fujian Province will increase in the next 20 years, while water bodies, built-up land, and unutilized land showed a decreasing trend. This results in a gradual upward trend in the mean habitat quality and a further increase in the proportion of high habitat quality areas. 4) The first dominant factor in the change of habitat quality in Fujian Province was NPP (q=0.262), followed by GDP (q=0.199), and the results of the interaction detection showed that the interaction between the two factors of nature had a more prominent effect on the habitat quality in Fujian Province.

Key words: Fujian Province, China, habitat quality, InVEST model, PLUS model, GEO-detector

CLC Number:  X171; X37
[1] 张海涛,李加林,田鹏,等.基于土地利用变化的东海区大陆海岸带生境质量时空演变研究[J].生态学报,2023,43(3):937-947. DOI: 10.5846/stxb202103150695.
[2]苏军德,赵晓冏,李国霞,等.祁连山国家自然保护区生境质量时空特征及驱动因素分析[J].中国环境科学,2024,44(5):2595-2605. DOI: 10.3969/j.issn.1000-6923.2024.05.022.
[3]程飞飞,李洪庆,宋红艳,等.沿海城市陆海生态环境质量综合评价与耦合协调度[J].生态学报,2024,44(9): 3855-3867. DOI: 10.20103/j.stxb.202307241580.
[4]关道明,战秀文.我国沿海水域赤潮灾害及其防治对策[J].海洋环境科学,2003,22(2):60-63. DOI: 10.3969/j.issn.1007-6336.2003.02.015.
[5]段后浪,于秀波,石建斌,等.中国大陆沿海水鸟栖息地保护优先区及空缺分析[J].生态学报,2021,41(24):9574-9580. DOI: 10.5846/stxb202104251089.
[6]周俊鑫,蔡梅芳,黄志强,等.江西省生境质量时空演化特征及预测[J].生态学报,2023,43(18):7623-7636. DOI: 10.20103/j.stxb.202206171728.
[7]郑贱成,谢炳庚,游细斌.基于土地利用变化的广东省生境质量时空演变特征[J].生态学报,2022,42(17):6997-7010. DOI: 10.5846/stxb202107191938.
[8]谢玲,陈展图,蒋瑜,等.基于InVEST&GEO-detectors模型的会仙湿地生境质量变化及影响因素研究[J].广西师范大学学报(自然科学版),2023,41(5):180-190. DOI: 10.16088/j.issn.1001-6600.2022071204.
[9]王妍,李欣茹,张甜甜,等.基于不同游客视角的百花山自然保护区生态系统服务社会价值评估[J].生态学报,2023,43(22):9446-9458. DOI: 10.20103/j.stxb.202211153298.
[10]胡威,王丽,莫康乐,等.扬州市河网大型底栖动物群落结构及其生境特征研究[J].环境科学学报,2021,41(4): 1440-1448. DOI: 10.13671/j.hjkxxb.2020.0432.
[11]陈月明,李俊熙,余楷煜.基于PLUS和InVEST模型的梅州市土地利用与生境质量时空变化及多情景模拟[J].测绘通报,2024(S01):156-160. DOI: 10.13474/j.cnki.11-2246.2024.S131.
[12]提杨,庄鸿飞,陈敏豪,等.天津市自然保护地与区域生境质量的时空演变格局[J].生态学报,2023,43(7):2770-2780. DOI: 10.5846/stxb202201130127.
[13]WU J Y, LUO J G, ZHANG H, et al. Projections of land use change and habitat quality assessment by coupling climate change and development patterns[J]. Science of the Total Environment, 2022, 847: 157491. DOI: 10.1016/j.scitotenv.2022.157491.
[14]WEI Q Q, ABUDUREHEMAN M, HALIKE A, et al. Temporal and spatial variation analysis of habitat quality on the PLUS-InVEST model for Ebinur Lake Basin, China[J]. Ecological Indicators, 2022, 145: 109632. DOI: 10.1016/j.ecolind.2022.109632.
[15]CHEN S L, LIU X T. Spatio-temporal variations of habitat quality and its driving factors in the Yangtze River Delta region of China[J]. Global Ecology and Conservation, 2024, 52: e02978. DOI: 10.1016/j.gecco.2024.e02978.
[16]李潇,杨加猛,陈禹衡,等.基于土地利用变化的江苏盐城湿地自然保护区生境质量评估[J].南京林业大学学报(自然科学版),2022,46(5):169-176. DOI: 10.12302/j.issn.1000-2006.202105002.
[17]TANG F, FU M C, WANG L, et al. Land-use change in Changli County, China: predicting its spatio-temporal evolution in habitat quality[J]. Ecological Indicators, 2020, 117: 106719. DOI: 10.1016/j.ecolind.2020.106719.
[18]黄康,戴文远,黄万里,等.基于CA-Markov和InVEST模型的土地利用变化对生境影响评价:以福建省福州新区为例[J].水土保持通报,2019,39(6):155-162. DOI: 10.13961/j.cnki.stbctb.2019.06.023.
[19]陈竹安,刘子强,张立亭,等.南昌市LUCC多情景模拟和生境质量时空演变与预测[J].农业机械学报,2023,54(5):170-180. DOI: 10.6041/j.issn.1000-1298.2023.05.017.
[20]李胜鹏,柳建玲,林津,等.基于1980—2018年土地利用变化的福建省生境质量时空演变[J].应用生态学报,2020,31(12):4080-4090. DOI: 10.13287/j.1001-9332.202012.019.
[21]王佳韡,伍世代,王强,等.南方山地丘陵区资源环境承载能力监测预警技术方法探讨:以福建省为例[J].地理科学,2019,39(5):847-856. DOI: 10.13249/j.cnki.sgs.2019.05.016.
[22]刘智方,唐立娜,邱全毅,等.基于土地利用变化的福建省生境质量时空变化研究[J].生态学报,2017,37(13): 4538-4548. DOI: 10.5846/stxb201602050263.
[23]张学儒,周杰,李梦梅.基于土地利用格局重建的区域生境质量时空变化分析[J].地理学报,2020,75(1):160-178. DOI: 10.11821/dlxb202001012.
[24]张廷,胡玉柱,胡海辉,等.基于PLUS-InVEST模型的哈尔滨市土地利用及生境质量预测[J].环境科学,2024,45(8):4709-4721. DOI: 10.13227/j.hjkx.202308212.
[25]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134. DOI: 10.11821/dlxb201701010.
[26]丁永康,叶婷,陈康.基于地理探测器的滹沱河流域植被覆盖时空变化与驱动力分析[J].中国生态农业学报:中英文,2022,30(11):1737-1749. DOI: 10.12357/cjea.20220309.
[27]许梦杰,陈凌秀,谢慧黎,等.闽台海岸带生境质量时空演变及其影响因素[J].海洋通报,2024,43(4):546-556. DOI: 10.11840/j.issn.1001-6392.2024.04.010.
[28]王军,严有龙,王金满,等.闽江流域生境质量时空演变特征与预测研究[J].生态学报,2021,41(14):5837-5848. DOI: 10.5846/stxb202010142618.
[29]吴丽媛,神祥金,刘奕雯,等.青藏高原草本沼泽植被净初级生产力时空变化及其对气候变化的响应[J].生态学报,2024,44(5):2115-2126. DOI: 10.20103/j.stxb.202301110075.
[30]潘耀,尹云鹤,侯文娟,等.基于土地利用及植被覆盖变化的黄河源区生境质量时空变化特征[J].生态学报,2022,42(19):7978-7988. DOI: 10.5846/stxb202105131254.
[31]黄木易,岳文泽,冯少茹,等.基于INVEST模型的皖西大别山区生境质量时空演化及景观格局分析[J].生态学报,2020,40(9):2895-2906. DOI: 10.5846/stxb201904260858.
[32]冀泳帆,贾鲁净,杨联安,等.耦合InVEST-PLUS模型的榆林市生境质量时空演变及预测分析[J].水土保持学报,2023,37(1):123-132. DOI: 10.13870/j.cnki.stbcxb.2023.01.018.
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