Characteristics and Driving Factors of Spatial and Temporal Evolution of Ecosystem Carbon Stocks and Habitat Quality in Hebei Province

Niu Xiaogeng; Zhu Xuelian; Liu Meiyu; Che Jianan

doi:10.13961/j.cnki.stbctb.2024.06.036

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Characteristics and Driving Factors of Spatial and Temporal Evolution of Ecosystem Carbon Stocks and Habitat Quality in Hebei Province

- Characteristics and Driving Factors of Spatial and Temporal Evolution of Ecosystem Carbon Stocks and Habitat Quality in Hebei Province
- Bulletin of Soiland Water Conservation Vol. 44, Issue 6, Pages: 353-365(2024)
- 作者机构：
  
  1. 河北地质大学经济学院,河北,石家庄,050031
  2. 科技创新与区域经济可持续发展研究基地,河北,石家庄,050031
  3. 河北地质大学自然资源资产资本研究中心,河北,石家庄,050031
  4. 中国地质大学(北京) 经济管理学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.06.036
  CLC： X321;X171.1
- Published：2024
- 稿件说明：
移动端阅览
Niu Xiaogeng, Zhu Xuelian, Liu Meiyu, et al. Characteristics and Driving Factors of Spatial and Temporal Evolution of Ecosystem Carbon Stocks and Habitat Quality in Hebei Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 353-365.
DOI：

Niu Xiaogeng, Zhu Xuelian, Liu Meiyu, et al. Characteristics and Driving Factors of Spatial and Temporal Evolution of Ecosystem Carbon Stocks and Habitat Quality in Hebei Province[J]. Bulletin of Soiland Water Conservation, 2024, 44(6): 353-365. DOI： 10.13961/j.cnki.stbctb.2024.06.036.

摘要

[目的] 探究河北省生态系统碳储量和生境质量时空演化特征及空间分异的主要驱动力，以期为区域固碳能力提升和生态环境治理提供更可靠的参考依据。[方法] 基于土地利用转移矩阵分析河北省2000—2020年土地利用变化现状，选用PLUS-InVEST-Geodector模型估测2000—2030年河北省生态系统碳储量和生境质量并分析其时空变化规律及驱动因素。[结果] ①2000—2020年河北省碳储量共下降13.45 Tg (以C计)，碳储量变化减少的区域多集中于坝上高原地区及华北平原和东南部丘陵地区。②2030年自然发展情景下碳储量较2020年减少6.37 Tg，经济发展情景下碳储量减少21.73 Tg，可持续发展情景下碳储量增加3.65 Tg。③2000—2020年河北省生境质量指数随着时间变化呈逐渐下降趋势。低及较低等级生境质量主要地类为建设用地、耕地，较高及高等级生境质量主要地类为草地、林地。④2030年河北省生境质量指数在不同情景下有所差异，可持续发展情景(0.463 9)>自然发展情景(0.454 2)>经济发展情景(0.450 0)。⑤碳储量和生境质量空间分异解释力最强的因子分别是坡度和高程。[结论] 碳储量和生境质量同时受到自然地理因素以及社会经济因素的共同作用。可持续发展情景下的土地利用格局有助于提升河北省生态系统的碳储量和生境质量。

Abstract

[Objective] The spatiotemporal evolution characteristics of ecosystem carbon storage and habitat quality and the main driving factors of spatial differentiation in Hebei Province were explored to provide a more reliable reference basis for improving regional carbon sequestration capacity and ecological environment governance. [Methods] Based on the land-use transfer matrix

the status of land-use change in Hebei Province from 2000 to 2020 was analyzed. The PLUS-InVEST-Geodector model was used to estimate the carbon storage and habitat quality of the ecosystem in Hebei Province from 2000 to 2030

and the spatio-temporal changes and driving factors were also analyzed. The change pattern of its spatial and temporal changes and driving factors were analyzed. [Results] ① The carbon stock in Hebei province decreased by 13.45 Tg (calculated by carbon) from 2000 to 2020

and the areas with decreasing carbon stock were mostly concentrated in the Bashang Plateau area

the North China Plain

and the southeastern hilly areas. ② In 2030

the carbon stock under the natural development scenario will decrease by 6.37 Tg compared with that in 2020. The carbon stock under the economic development scenario will decrease by 21.73 Tg

and that under the sustainable development scenario will increase by 3.65 Tg. ③ The habitat quality index showed a gradual downward trend over time from 2000 to 2020. The main land categories of lowest and lower grade habitat quality were construction land and cropland

while that of higher and highest grade habitat quality were grassland and forest land. ④ The habitat quality index of Hebei Province in 2030 varies under different scenarios

with sustainable development (0.463 9) > natural development (0.454 2) > economic development (0.450 0). ⑤ The strongest explanatory factors for the spatial variations in carbon stock and habitat quality were slope and elevation. [Conclusion] Carbon stock and habitat quality were affected by both natural geographic factors and socioeconomic factors. The land use pattern under the sustainable development scenario can help to improve the carbon stock and habitat quality of the ecosystem in Hebei Province.

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