Influence of Human Activity Intensity on Habitat Quality in Hainan Tropical Rainforest National Park, China

被引:10
作者
Han, Nianlong [1 ,2 ]
Yu, Miao [2 ,3 ]
Jia, Peihong [2 ]
Zhang, Yucheng [4 ]
Hu, Ke [5 ]
机构
[1] Huizhou Univ, Sch Geog & Tourism, Huizhou 516007, Peoples R China
[2] Hainan Univ, Sch Publ Adm, Haikou 570228, Peoples R China
[3] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China
[4] Guangzhou Univ, Sch Geog Sci & Remote Sensing, Guangzhou 510006, Peoples R China
[5] Nanjing Agr Univ, Sch Publ Adm, Nanjing 210095, Peoples R China
基金
海南省自然科学基金;
关键词
human activity intensity (HAI); habitat quality (HQ); bivariate spatial autocorrelation; system dynamics model; integrated valuation of ecosystem services and trade-offs (InVEST) model; Hainan Tropical Rainforest National Park (HTRNP) of China; HUMAN FOOTPRINT; MODEL; SIMULATION; SHANGHAI; REGION; SCALE;
D O I
10.1007/s11769-024-1423-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to long-term human activity interference, the Hainan Tropical Rainforest National Park (HTRNP) of China has experienced ecological problems such as habitat fragmentation and biodiversity loss, and with the expanding scope and intensity of human activity impact, the regional ecological security is facing serious challenges. A scientific assessment of the interrelationship between human activity intensity and habitat quality in the HTRNP is a prerequisite for achieving effective management of ecological disturbances caused by human activities and can also provide scientific strategies for the sustainable development of the region. Based on the land use change data in 2000, 2010, and 2020, the spatial and temporal variations and the relationship between habitat quality (HQ) and human activity intensity (HAI) in the HTRNP were explored using the integrated valuation of ecosystem services and trade-offs (InVEST) model. System dynamics and land use simulation models were also combined to conduct multi-scenario simulations of their relationships. The results showed that during 2000-2020, the habitat quality of the HTRNP improved, the intensity of human activities decreased each year, and there was a negative correlation between the two. Second, the system dynamic model could be well coupled with the land use simulation model by combining socio-economic and natural factors. The simulation scenarios of the coupling model showed that the harmonious development (HD) scenario is effective in curbing the increasing trend of human activity intensity and decreasing trend of habitat quality, with a weaker trade-off between the two compared with the baseline development (BD) and investment priority oriented (IPO) scenarios. To maintain the authenticity and integrity of the HTRNP, effective measures such as ecological corridor construction, ecological restoration, and the implementation of ecological compensation policies need to be strengthened.
引用
收藏
页码:519 / 532
页数:14
相关论文
共 41 条
[1]  
Anselin L., 2014, Modern spatial econometrics in practice, a guide to GeoDa, GeoDaSpace and PySAL
[2]   Spatial and Temporal Change of Habitat Quality of Poyang Lake Basin in China at Small Watershed Scale and Its Multidimensional Response to Landscape Pattern [J].
Bi, Manyu ;
Zhong, Yexi ;
Xiao, Zeping ;
Feng, Xinghua ;
Ma, Hongzhi .
CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (03) :565-582
[3]  
Forrester J. W, 1968, Principles of systems
[4]   基于FLUS和InVEST模型的南京市生境质量多情景预测 [J].
高周冰 ;
王晓瑞 ;
隋雪艳 ;
汪翔 ;
范业婷 ;
朱青 ;
吕立刚 .
农业资源与环境学报, 2022, 39 (05) :1001-1013
[5]  
Greenpeace, 2011, Environmental Protection, V24, P6
[6]  
Gu M.R, 2021, CHINA ENV MANAG, V13, P126, DOI [10.16868/j.cnki.1674-6252.2021.03.126, DOI 10.16868/J.CNKI.1674-6252.2021.03.126]
[7]   Multi-Scenario Landscape Ecological Risk Simulation for Sustainable Development Goals: A Case Study on the Central Mountainous Area of Hainan Island [J].
Han, Nianlong ;
Yu, Miao ;
Jia, Peihong .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (07)
[8]  
Hassan R., 2005, ECOSYSTEMS HUMAN WEL, P60
[9]   Dynamic simulation of debris flow waste-shoal land use based on an integrated system dynamics-geographic information systems model [J].
He, Songtang ;
Wang, Daojie ;
Zhao, Peng ;
Chen, Wenle ;
Li, Yong ;
Chen, Xiaoqing ;
Jamali, Ali Akbar .
LAND DEGRADATION & DEVELOPMENT, 2022, 33 (12) :2062-2075
[10]   Effect of Danube River dam on Black Sea biogeochemistry and ecosystem structure [J].
Humborg, C ;
Ittekkot, V ;
Cociasu, A ;
VonBodungen, B .
NATURE, 1997, 386 (6623) :385-388