journal article·2025-04-27Open access

An Analysis of Spatial Variation in Human Impact on Forest Ecological Functions

Qingjun Wu, Liyong Fu, Ram P. Sharma, Yaquan Dou, Xiaodi Zhao

Applied Sciences· Volume 15· Issue 9

Abstract

As the cornerstone of terrestrial ecosystems, forests have faced mounting challenges due to escalating human activities, jeopardizing their vital ecological functions and even their existence. It has become an important issue to explore how to promote harmonious coexistence of man and nature, or even to improve the forest ecological function (FEF) through human activities. Thus, in this study, we select the Yellow River Basin (YRB) in China as a typical region. Firstly, we assess the FEF at the county level and reveal their spatial distribution and agglomeration characteristics on the basis of the data from the Ninth National Forest Inventory of China. Then, using multiple linear regression (MLR) and geographically weighted regression (GWR) modeling, we further explore the overall impacts of different human activities on FEF and their spatial differences, respectively. Our findings underscored a moderate deficiency in the county-level FEF in the YRB, with pronounced positive spatial agglomerations. The high–high areas are primarily clustered in the southern and central mountainous areas, whereas low–low areas are distributed in the upstream warm temperate steppe and desert-grassland regions. Human activities exert substantial impacts on FEF, with distinct spatial heterogeneity in the coefficient and significance levels. The trend analysis indicates that FEF is more sensitive to the increase in living land, population density and forest protection in the east–west direction. And in the north–south direction, FEF is more easily affected by agricultural development, population growth and urbanization. This study verifies that natural factors dominate FEF in those regions where human activities are quite scarce, and also reveals that due to the inter-constraint or counteract effects among different human activities, FEF may still ultimately depend on the natural endowments in some populated regions. We point out the core human activity factors affecting FEF after excluding the interference from natural conditions. And we recommend that policymakers prioritize sustainable development strategies that mitigate the adverse impacts of human activities on forest ecosystems while promoting conservation efforts tailored to the unique characteristics of each region.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Land Use and Ecosystem Services · Spatial and Panel Data Analysis · Remote Sensing in Agriculture

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China

College of Economics and Management, China Agricultural University, Beijing 100083, China

Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Institute of Forestry, Tribhuvan University, Kathmandu 44600, Nepal

Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada

Funding

Fundamental Research Funds of Chinese Academy of Forestry · China Scholarship Council

References (61)

Show source-provided references
1. Dynamics of global forest area: Results from the FAO global forest resources assessment10.1016/j.foreco.2015.06.014 ↗
2. Evaluation and analysis of forest ecological function level in Greater Khingan Mountains Pangu forest farm based on GIS
3. Zhang, M.N., Liu, S.R., Luo, X.Z., Keenan, T.F., Fu, L.Y., Xiao, C.W., Zhang, Y., and Gong, P. (2025). Incorporating site suitability and carbon sequestration of tree species into China’s climate-adaptive forestation. Sci. Bull., in press.10.1016/j.scib.2025.03.035 ↗
4. Disparities in soil and water conservation functions among different forest types and implications for afforestation on the Loess Plateau10.1016/j.ecolind.2023.110935 ↗
5. Quantifying soil erosion and soil organic carbon conservation services in indian forests: A RUSLE-SDR and GIS-based assessment10.1016/j.ecolind.2024.112086 ↗
6. Forest eco-function restoration and its positive effects on biodiversity improvement in China’s ecological conservation programs10.1016/j.ecoleng.2025.107530 ↗
7. Lecina-Diaz, J., Senf, C., Grünig, M., and Rupert Seidl, R. (2024). Ecosystem services at risk from disturbance in Europe’s forests. Glob. Change Biol., 30.10.1111/gcb.17242 ↗
8. Contrasting forest management strategies: Impacts on biodiversity and ecosystem services under changing climate and disturbance regimes10.1016/j.jenvman.2024.123124 ↗
9. From city to countryside: Unraveling the long-term complex effects of urbanization on vegetation growth in China10.1016/j.jenvman.2025.124975 ↗
10. Varying effects of mining development on ecological conditions and groundwater storage in dry region in Inner Mongolia of China10.1016/j.jhydrol.2020.125759 ↗
11. China and India lead in greening of the world through land-use management10.1038/s41893-019-0220-7 ↗
12. The current situation and improvement strategies of forest resource quality in China
13. Driving force and potential of forest resource change: Based on the results of the Ninth National Forest Resources Inventory
14. Construction and utilization of continuous inventory system for forest ecology
15. Dynamic analyses of forest ecological functions based on fixed plot data of continuous forest resources inventories from 1979 to 2012 in Guangzhou
16. Research advances in forest ecosystem services evaluations based on the InVEST model
17. Evaluation of forest eco-efficiency: A transformation of ecological value quantity perspective10.1016/j.scitotenv.2025.178612 ↗
18. Boreal forests will be more severely affected by projected anthropogenic climate forcing than mixedwood and northern hardwood forests in eastern Canada10.1007/s10980-021-01241-7 ↗
19. Patterns of composition, richness and phylogenetic diversity of woody plant communities of Quillaja saponaria Molina (Quillajaceae) in the Chilean sclerophyllous forest
20. What explains the variation on the regenerative component dynamics of Araucaria forests in southern Brazil?10.1590/1678-992x-2017-0304 ↗
21. Stronger influence of anthropogenic disturbance than climate change on century-scale compositional changes in northern forests10.1038/s41467-019-09265-z ↗
22. China’s response to a national land-system sustainability emergency10.1038/s41586-018-0280-2 ↗
23. Differences in industrial environmental efficiency of the Yangtze River economic belt and their influencing factors: Based on the super efficiency DEA-Malmquist-Tobit model
24. Spatial-temporal disparities and influencing factors of total-factor green use efficiency of industrial land in China10.1016/j.jclepro.2018.10.087 ↗
25. Spatiotemporal evolution of agricultural drought and its attribution under different climate zones and vegetation types in the Yellow River Basin of China10.1016/j.scitotenv.2023.169687 ↗
26. Wu, Q., Zhu, J., and Zhao, X. (2023). Effects of human social-economic activities on vegetation suitability in the Yellow River Basin, China. Forests, 14.10.3390/f14020234 ↗
27. Coupling coordination network analysis of ecological protection and high-quality economic development in the Yellow River basin
28. Environmental stress and optimized path of industrial development in the Yellow River basin
29. Guo, Z., Tang, S., Wang, D., and Zhang, J. (2022). Spatial distribution and factors influencing ecological efficiency of the Yellow River basin in China. Front. Environ. Sci., 10.10.3389/fenvs.2022.815898 ↗
30. High quality regional development research based on geographical units: Discuss on the difference in development conditions and priorities of the Yellow River basin compared to the Yangtze River basin
31. Li, T., Zhang, Q., Singh, V.P., Zhao, J., Song, J., Sun, S., Wang, G., Shen, Z., and Wu, W. (2022). Identification of degradation areas of ecological environment and degradation intensity assessment in the Yellow River basin. Front. Earth Sci., 10.10.3389/feart.2022.922013 ↗
32. (2020). Technical Regulations for Continuous Forest Inventory (Standard No. GB/T 38590−2020).
33. Vegetation coverage changes and driving forces in the Henan section of the Yellow River basin
34. Temporal and spatial variations of vegetation coverage and its response to climate factors in Gansu section of Yellow River basin
35. The significance and countermeasures of vegetation construction on the Loess Plateau to carbon neutrality
36. Attribution of climate and human activities to vegetation change in China using machine learning techniques10.1016/j.agrformet.2020.108146 ↗
37. Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau10.1016/j.scitotenv.2019.01.022 ↗
38. Simulating spatio-temporal pattern of producing-living-ecological space and evaluating eco-environmental effects in Zhongyuan urban agglomeration based on FLUS model and shared socioeconomic pathways
39. Evaluation and spatial-temporal variations of ecological comprehensive index along the Yellow River of Shanxi province, China
40. Local indicators of spatial association—LISA10.1111/j.1538-4632.1995.tb00338.x ↗
41. Geographically weighted regression: A method for exploring spatial nonstationarity10.1111/j.1538-4632.1996.tb00936.x ↗
42. Mapping soil organic carbon density via geographically weighted regression with smooth terms: A case study in Shanxi Province10.1016/j.ecolind.2024.112588 ↗
43. The spatial and temporal evolution of the actual evapotranspiration based on the remote sensing method in the Loess Plateau10.1016/j.scitotenv.2019.135111 ↗
44. Vegetation changes and influencing factors in different regions of Yellow River Basin from 1982 to 2015
45. Indicator based integrated vulnerability assessment of community forests in Indian west Himalaya10.1016/j.foreco.2019.117674 ↗
46. Characterizing fragmentation trends of the Himalayan forests in the Kumaon region of Uttarakhand, India10.1016/j.ecoinf.2016.12.006 ↗
47. Revealing the main factors affecting global forest change at distinct altitude gradients10.1016/j.ecolind.2023.110131 ↗
48. Vulnerability of alpine ecosystems and its response to climate change and human activities
49. Spatio-temporal differences of enhanced aeolian sand activity in the northeastern Tibetan Plateau over the past 1500 years
50. Tree biomass of evergreen broad-leaf forest in mid-subtropical region of China at three succession stages
51. Study on vegetation variation characteristics and influencing factors in different geomorphic zones in the Chanbahe River basin since 2000
52. Countermeasures and recommendations for implementing ecological compensation in Sichuan province of the Yellow River basin
53. Study on the high-quality development of Yellow River basin in Sichuan based on the social-ecological system framework
54. Spatial pattern of water conservation function in Hehuang Valley
55. Spatial-temporal variations and strip patterns of vegetation in the Inner Mongolia of Yellow River basin
56. Zeng, X., Liu, Z., and He, C. (2018). Quantifying surface coal-mining patterns to promote regional sustainability in Ordos, Inner Mongolia. Sustainability, 10.10.3390/su10041135 ↗
57. Impacts of urban expansion on net primary productivity in the agro-pastoral ecotone in northern China: A case of Hohhot-Baotou-Ordos region
58. Evaluation on the degree and potential of ecological restoration in Loess Plateau
59. Constraints and coordinated allocation strategies of water and land resources for sustainable use of coastal saline-alkali land in the Yellow River delta
60. Evolution of artificial wetlands in the Yellow River Delta and related driving factors during 1984–2015
61. Temporal and spatial variations of landscape pattern vulnerability in Yellow River Delta during 2005–2018