Multi-scenario Land Use Optimization and Carbon Storage Assessment in Northwest China

被引：6
|
作者：
Chen N. [1 ]
Xin C.-L. [1 ,2 ]
Tang D.-B. [1 ]
Zhang L. [1 ]
Xin S.-J. [3 ]
机构：
[1] College of Geography and Environmental Science, Northwest Normal University, Lanzhou
[2] Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou
[3] College of Earth and Environmental Sciences, Lanzhou University, Lanzhou
来源：
Huanjing Kexue/Environmental Science | 2023年 / 44卷 / 08期
关键词：
carbon storage; GMMOP-PLUS-InVEST model; land use/cover change; multi-scenario; northwest China; terrestrial ecosystem;
D O I：
10.13227/j.hjkx.202210083
中图分类号：
学科分类号：
摘要：
Land use/ cover change (LUCC) is the main factor leading to the change in carbon stock of terrestrial ecosystems. Studying the process of land use and carbon storage change under different scenarios in the future will help to formulate scientific land use policies and increase regional terrestrial ecosystem carbon storage. The GMMOPPLUS-InVEST model was constructed to analyze the change characteristics of land use and carbon storage in northwest China from 2000 to 2020 through multi-source data and to predict the land use and carbon storage in northwest China in 2030 under the scenarios of natural development (ND), economic development (ED), ecological protection (EP), and comprehensive development (CD). The results showed that: ① from 2000 to 2020, the area of grassland decreased by 1 680. 99 × 104 hm2 , and the area of cultivated land, forest land, water area, wetland, construction land, and unused land increased by 201. 19 ×104 , 208. 47 ×104 , 91. 54 ×104 , 51. 30 ×104 , 157. 40 ×104 , and 971. 09 ×104 hm2 , respectively. ② From 2000 to 2020, soil and underground carbon storage decreased, dead organic matter and aboveground carbon storage increased, and total carbon storage decreased by 677. 97 ×106 t. Grassland degradation was the main reason for the decrease in carbon storage. ③ Compared to that in 2020, the total carbon storage in the ND scenario was reduced by 63. 12 ×106 t, and the total carbon storage in the ED, EP, and CD scenarios increased by 759. 19 ×106 , 804. 57 ×106 , and 817. 89 ×106 t, respectively; the CD scenario was the optimal development model. These results can provide a reference for regional land use planning and the increase of terrestrial ecosystem carbon storage. © 2023 Science Press. All rights reserved.
引用
收藏
页码：4655 / 4665
页数：10
相关论文
共 50 条
  • [1] Sokolov Y I., Risks of global climate change, Issues of Risk Analysis, 18, 3, pp. 32-45, (2021)
  • [2] Hopf H, Krief A, Matlin S A, Et al., Climate change: reasons, requirements, and realities, Nachrichten aus der Chemie, 70, 3, pp. 11-14, (2022)
  • [3] Piao S L, He Y, Wang X H, Et al., Estimation of China's terrestrial ecosystem carbon sink: methods, progress and prospects, Science China Earth Sciences, 65, 4, pp. 641-651, (2022)
  • [4] Fang J Y, Yu G R, Ren X B, Et al., Carbon sequestration in China's terrestrial ecosystems under climate change———progress on ecosystem carbon sequestration from the CAS strategic priority research program, Bulletin of Chinese Academy of Sciences, 30, 6, pp. 848-857, (2015)
  • [5] Wang K, Li X, Lyu X, Et al., Optimizing the land use and land cover pattern to increase its contribution to carbon neutrality, Remote Sensing, 14, 19, pp. 4751-4771, (2022)
  • [6] Houghton R A, House J I, Pongratz J, Et al., Carbon emissions from land use and land-cover change, Biogeosciences, 9, 12, pp. 5125-5142, (2012)
  • [7] Foley J A, DeFries R, Asner G P, Et al., Global consequences of land use, Science, 309, 5734, pp. 570-574, (2005)
  • [8] Wang G Z, Han Q, De Vries B., The multi-objective spatial optimization of urban land use based on low-carbon city planning [ J ], Ecological Indicators, 125, (2021)
  • [9] Friedlingstein P, Jones M W, O'Sullivan M, Et al., Global carbon budget 2019 [ J ], Earth System Science Data, 11, 4, pp. 1783-1838, (2019)
  • [10] Sun W L, Liu X H., Review on carbon storage estimation of forest ecosystem and applications in China [ J], Forest Ecosystems, 7, 1, (2020)
12345