Spatiotemporal Characteristics of Carbon Storage and Its Response to Land Use Changes in Fujian Province

Si Xiaoqian; Wang Xiaojun; Lin Yingbing; Liu Guangxu

doi:10.13961/j.cnki.stbctb.2023.05.041

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Spatiotemporal Characteristics of Carbon Storage and Its Response to Land Use Changes in Fujian Province

- Spatiotemporal Characteristics of Carbon Storage and Its Response to Land Use Changes in Fujian Province
- Bulletin of Soiland Water Conservation Vol. 43, Issue 5, Pages: 355-364(2023)
- 作者机构：
  
  1. 福建师范大学地理科学学院碳中和未来技术学院,福建,福州,350007
  2. 中国科学院地质与地球物理研究所,北京,100029
  3. 中国科学院大学,北京,100049
  4. 华南师范大学地理科学学院,广东,广州,510631
  5. 赣南师范大学地理与环境工程学院,江西,赣州,341000
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.05.041
  CLC： X87;F124.5
- Published：2023
- 稿件说明：
移动端阅览
Si Xiaoqian, Wang Xiaojun, Lin Yingbing, et al. Spatiotemporal Characteristics of Carbon Storage and Its Response to Land Use Changes in Fujian Province[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 355-364.
DOI：

Si Xiaoqian, Wang Xiaojun, Lin Yingbing, et al. Spatiotemporal Characteristics of Carbon Storage and Its Response to Land Use Changes in Fujian Province[J]. Bulletin of Soiland Water Conservation, 2023, 43(5): 355-364. DOI： 10.13961/j.cnki.stbctb.2023.05.041.

摘要

[目的] 研究福建省生态系统碳储量及其对土地利用变化的响应，为生态系统保护提供参考。[方法] 基于土地利用数据和碳密度数据，运用InVEST模型模拟福建省1980

2000

2020年碳储量；利用冷热点分布、转移图谱和矩阵分析碳储量和土地利用的时空特征；最后分析碳储量对土地利用变化的响应。[结果] ①福建省碳储量整体均较高，82.5%以上区域的碳储量为中等以上(＞3 000 t)，主要分布在山地丘陵地区，也是高碳储量的热点集中区；高(热点)低(冷点)碳储量集中区转移较少；1980—2020年总碳储量波动略升高，2000—2020年不同碳储量等级彼此之间转移相对较多。②福建省土地利用/覆被以林地为主(61.4%~62.9%)，其次是耕地(16.9%~18.3%)和草地(15.2%~17.2%)；土地利用/覆被变化在1980—2000年较稳定，在2000—2020年较剧烈。③林地、草地和耕地的总碳储量较高，水域、建设用地和未利用地总碳储量较少；耕地总碳储量减少，建设用地总碳储量增加，林地和草地有增加也有减少；由土地利用/覆被变化导致的总碳储量转出和转入最多均为林地，其次是草地和耕地；总碳储量净转移为负的是林地，其他为正，林地转移引起的碳亏损最多。[结论] 耕地、林地和草地是福建省的主要土地利用类型，它们贡献了较高碳储量，并相互转移引起了碳储量变化。

Abstract

[Objective] The ecosystem carbon storage and its response to land use changes in Fujian Province were analysed in order to provide a reference for ecosystem protection. [Methods] Based on land use data and carbon density data

the InVEST model was used to simulate carbon storage in Fujian Province in 1980

2000

and 2020. The spatiotemporal characteristics of carbon storage and land use were analyzed using the distribution of cold spots and hot spots

transfer maps

and a transfer matrix. The response of carbon storage to land use changes was analyzed. [Results] ① Carbon storage in Fujian Province was relatively high on the whole

and more than 82.5% of the region was above medium carbon storage (＞3 000 t)

mainly located in mountainous and hilly areas

which were also hot spots of high carbon storage. Ares of high (hot spots) and low (cold spots) of carbon storage concentration transferred less. Total carbon storage fluctuated slightly from 1980 to 2020

and relatively more carbon storage transferred between different carbon storage levels from 2000 to 2020. ② Land use/cover in Fujian Province was mainly forest land (61.4%—62.9%)

followed by cultivated land (16.9%—18.3%) and grassland (15.2%—17.2%). Land use/cover change was relatively stable from 1980 to 2000

and more intense from 2000 to 2020. ③ Total carbon storage values in forest land

grassland

and cultivated land were relatively high

while total carbon storage in water bodies

construction land

and unused land were relatively low. Total carbon storage in cultivated land decreased over time

while total carbon storage of construction land increased. The area of forest land and grassland both increased and decreased. The largest transfer of total carbon storage caused by land use/cover changes was observed in forest land

followed by grassland and cultivated land. The net transfer of total carbon storage was negative for forest land

and positive for the other land use classes. The largest carbon loss was observed for the transfer of forest land. [Conclusion] Cultivated land

forest land

and grassland were the main types of land use in Fujian Province contributing to higher carbon storage

and their mutual transfer resulted in carbon storage changes.

关键词

Keywords

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