Carbon Stock Change Analysis and Scenario Prediction on Land Cover of Chengxi Sci-tech Innovation Corridor in Hangzhou City

Zhan Yuanzeng; Ma Yan; Wang Xingkun; Feng Cunjun; Li Jiaxin; Xu Pan

doi:10.13961/j.cnki.stbctb.2024.05.039

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Carbon Stock Change Analysis and Scenario Prediction on Land Cover of Chengxi Sci-tech Innovation Corridor in Hangzhou City

- Carbon Stock Change Analysis and Scenario Prediction on Land Cover of Chengxi Sci-tech Innovation Corridor in Hangzhou City
- Bulletin of Soiland Water Conservation Vol. 44, Issue 5, Pages: 369-381(2024)
- 作者机构：
  
  1. 浙江省测绘科学技术研究院,浙江,杭州,310001
  2. 自然资源浙江省卫星应用技术中心,浙江,杭州,310001
  3. 自然资源部地理国情监测重点实验室,浙江,杭州,310001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.05.039
  CLC： TP79;F301.2
- Published：2024
- 稿件说明：
移动端阅览
Zhan Yuanzeng, Ma Yan, Wang Xingkun, et al. Carbon Stock Change Analysis and Scenario Prediction on Land Cover of Chengxi Sci-tech Innovation Corridor in Hangzhou City[J]. Bulletin of Soiland Water Conservation, 2024, 44(5): 369-381.
DOI：

Zhan Yuanzeng, Ma Yan, Wang Xingkun, et al. Carbon Stock Change Analysis and Scenario Prediction on Land Cover of Chengxi Sci-tech Innovation Corridor in Hangzhou City[J]. Bulletin of Soiland Water Conservation, 2024, 44(5): 369-381. DOI： 10.13961/j.cnki.stbctb.2024.05.039.

摘要

[目的] 通过高分辨率遥感影像分析杭州城西科创大走廊的地表覆盖变化与碳储量变化，在“三区三线”成果约束下预测碳储量未来发展趋势，为城市新中心的国土空间优化和生态发展提供科学依据。[方法] 基于2010，2015，2020，2023年4期地表覆盖数据，采用GeoSoS-FLUS模型模拟2035年自然发展、极限建设开发、极限农业生产、生态功能服务和城乡融合发展5种不同情景下的地表覆盖变化，并运用模型为框架计算2010—2023年和2023—2035年模拟情境下的碳储量变化情况。[结果] ①2010—2023年城西科创大走廊呈现碳储量增长趋势，共计变化1 720.69 t，其中植被碳储量约增加为913.67 t，土壤碳储量约增加566.18 t，水域碳储量约增加240.84 t； ②耕地内部类型转变导致土壤碳储量减少119.33 t，林地内部类型转变导致的碳储量变化占总变化的39.50%； ③自然增长情景及生态功能服务情景下，林地增长相对明显，极限建设开发情景、极限农业生产情景地表覆盖类型更为稳定，城乡融合发展情景下，通过耕地、林地、草地与其他地表覆盖类型的合理置换，其他地表覆盖类型获得了更大的发展空间； ④2023—2035年，在自然增长情景下，碳储量将增加898.74 t，在极限建设开发情景下，碳储量将增加538.58 t，在极限农业生产情景下，碳储量将增加517.45 t，在生态功能服务情景下，碳储量将增加813.09 t，在城乡融合发展情景下，碳储量将增加356.91 t。[结论] 在控制线的约束下进行发展可以有效地保障城市碳汇能力，合理的地表覆盖类型转变及内部结构调整可以为城市新中心发展提供进一步的空间。

Abstract

[Objective] The changes in land cover and carbon stock of the Hangzhou Chengxi Sci-tech Innovation Corridor through high-resolution remote sensing images were analyzed and the development trend of carbon stock under the constraints of the “three zones and three lines” achievements was predicted to provide scientific basis for the optimization of national land space and ecological development of new urban centers. [Methods] Based on four periods of land cover data from 2010

2015

2020

and 2023

the GeoSoS-FLUS model was used to simulate both past and future changes in land cover under five different scenarios: the natural growth

extreme construction and development

extreme agricultural production

ecological function services

and urban-rural integration development scenarios up to the year 2035. The model was used as a framework to calculate the changes in carbon stock under the simulated scenarios from 2010 to 2023 and from 2023 to 2035

respectively. [Results] ① The carbon stock of Chengxi Sci-tech Innovation Corridor showed an increasing trend from 2010 to 2023

with a total change of 1 720.69 t

where the carbon stock of vegetation

soil

and water increased to approximately 913.67 t

566.18 t

and 240.84 t

respectively. ② The internal type transformation of cultivated land resulted in a decrease of 119.33 t in soil carbon stock

while the internal type transformation of forest land accounted for 39.50% of the total change in carbon stock. ③ In the natural growth and ecological function services scenarios

forest land growth was relatively significant

while in the extreme construction and development and extreme agricultural production scenarios

the land cover types were more stable. In the urban-rural integration development scenario

through reasonable replacement between cultivated land

forest land

grassland

and other land cover types

other land cover types obtained greater development space. ④ During 2023—2035

carbon stock will rise by 898.74 t under the natural growth scenario

538.58 t under the extreme construction and development scenario

517.45 t under the extreme agricultural production scenario

813.09 t under the ecological function services scenario

and 356.91 t under the urban-rural integration development scenario. [Conclusion] Development under the constraint of control lines could effectively guarantee the carbon sequestration capacity of cities. Reasonable transformation of land cover types and internal structural adjustments can provide more space for the development of new urban centers.

关键词

Keywords

references

孙中原,孙成苗,展昀,等.国土空间规划体系下“三生空间” 与“三区三线” 划定及功能定位研究[J].自然资源情报,2023(12):26-30. Sun Zhongyuan, Sun Chengmiao, Zhan Yun, et al. Delineation and functional positioning of “production-living-ecological space” and “three zones and three lines” under the territorial spatial planning system [J]. Natural Resources Information, 2023(12):26-30.

Luo Kui, Wang Hongwei, Ma Chen, et al. Carbon sinks and carbon emissions balance of land use transition in Xinjiang, China: Differences and compensation [J]. Scientific Reports, 2022,12(1):22456.

沈浩,姜姜,周晨,等.江西石城不同起源阔叶林碳储量驱动因子分析[J].南京林业大学学报(自然科学版),2023,47(4):185-190. Shen Hao, Jiang Jiang, Zhou Chen, et al. Research on factors driving carbon storage in broad-leaved forests of different origins from Shicheng, Jiangxi Province [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2023,47(4):185-190.

陈治中,昝梅,杨雪峰,等.新疆森林植被碳储量预测研究[J].生态环境学报,2023,32(2):226-234. Chen Zhizhong, Zan Mei, Yang Xuefeng, et al. Prediction of forest vegetation carbon storage in Xinjiang [J]. Ecology and Environmental Sciences, 2023,32(2):226-234.

方精云,郭兆迪,朴世龙,等.1981—2000年中国陆地植被碳汇的估算[J].中国科学(D辑: 地球科学),2007,37(6):804-812. Fang Jingyun, Guo Zhaodi, Piao Shilong, et al. Estimation of carbon sinks of terrestrial vegetation in China from 1981 to 2000[J]. Science in China (Series D: Earth Sciences), 2007,37(6):804-812.

孙方虎,方凤满,洪炜林,等.基于PLUS和InVEST模型的安徽省碳储量演化分析与预测[J].水土保持学报,2023,37(1):151-158. Sun Fanghu, Fang Fengman, Hong Weilin, et al. Evolution analysis and prediction of carbon storage in Anhui Province based on PLUS and InVEST model [J]. Journal of Soil and Water Conservation, 2023,37(1):151-158.

方赞山,钟才荣,王凤霞,等.耦合InVEST与FLUS模型的海南岛生态系统碳储量时空演变与预测[J].水土保持通报,2023,43(5):320-329. Fang Zanshan, Zhong Cairong, Wang Fengxia, et al. Spatial-temporal evolution and prediction of ecosystem carbon storage on Hainan Island by coupling InVEST and FLUS models [J]. Bulletin of Soil and Water Conservation, 2023,43(5):320-329.

李俊,杨德宏,吴锋振,等.基于PLUS与InVEST模型的昆明市土地利用变化动态模拟与碳储量评估[J].水土保持通报,2023,43(1):378-387. Li Jun, Yang Dehong, Wu Fengzhen, et al. Dynamic simulation of land use changes and assessment of carbon storage in Kunming City based on PLUS and InVEST models [J]. Bulletin of Soil and Water Conservation, 2023,43(1):378-387.

方精云,黄耀,朱江玲,等.森林生态系统碳收支及其影响机制[J].中国基础科学,2015,17(3):20-25. Fang Jingyun, Huang Yao, Zhu Jiangling, et al. Carbon budget of forest ecosystems and its driving forces [J]. China Basic Science, 2015,17(3):20-25.

徐彩瑶,任燕,孔凡斌.浙江省土地利用变化对生态系统固碳服务的影响及其预测[J].应用生态学报,2023,34(6):1610-1620. Xu Caiyao, Ren Yan, Kong Fanbin. Impacts and prediction of land use change on ecosystem carbon sequestration in Zhejiang Province, China [J]. Chinese Journal of Applied Ecology, 2023,34(6):1610-1620.

方精云,陈安平.中国森林植被碳库的动态变化及其意义[J].植物学报,2001,43(9):967-973. Fang Jingyun, Chen Anping. Dynamic forest biomass carbon pools in China and their significance [J]. Journal of Integrative Plant Biology, 2001,43(9):967-973.

赖力.中国土地利用的碳排放效应研究[D].江苏南京:南京大学,2010:142. Lai Li. Carbon emission effect of land use in China [D]. Nanjing, Jiangsu: Nanjing University, 2010:142.

王效科,冯宗炜,欧阳志云.中国森林生态系统的植物碳储量和碳密度研究[J].应用生态学报,2001,12(1):13-16. Wang Xiaoke, Feng Zongwei, Ouyang Zhiyun. Vegetation carbon storage and density of forest ecosystems in China [J]. Chinese Journal of Applied Ecology, 2001,12(1):13-16.

王大卫,沈文星.中国主要树种人工乔木林碳储量测算及固碳潜力分析[J].南京林业大学学报(自然科学版),2022,46(5):11-19. Wang Dawei, Shen Wenxing. The carbon storage calaulation and carbon sequestration potential analysis of the main artificial arboreal forest in China [J]. Journal of Nanjing Forestry University (Natural Sciences Edition), 2022,46(5):11-19.

周玉荣,于振良,赵士洞.我国主要森林生态系统碳贮量和碳平衡[J].植物生态学报,2000,24(5):518-522. Zhou Yurong, Yu Zhenliang, Zhao Shidong. Carbon storage and budget of major Chinese forest types [J]. Acta Phytoecologica Sinica, 2000,24(5):518-522.

朴世龙,方精云,贺金生,等.中国草地植被生物量及其空间分布格局[J].植物生态学报,2004,28(4):491-498. Piao Shilong, Fang Jingyun, He Jinsheng, et al. Spatial distribution of grassland biomass in China [J]. Acta Phytoecologica Sinica, 2004,28(4):491-498.

胡会峰,王志恒,刘国华,等.中国主要灌丛植被碳储量[J].植物生态学报,2006,30(4):539-544. Hu Huifeng, Wang Zhiheng, Liu Guohua, et al. Vegetation carbon storage of major shrublands in China [J]. Journal of Plant Ecology, 2006,30(4):539-544.

张敏,陈永根,于翠平,等.在茶园生产周期过程中茶树群落生物量和碳储量动态估算[J].浙江大学学报(农业与生命科学版),2013,39(6):687-694. Zhang Min, Chen Yonggen, Yu Cuiping, et al. Dynamic assessments of plant biomass and carbon storage during the production cycle of tea gardens [J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2013,39(6):687-694.

段晓男,王效科,逯非,等.中国湿地生态系统固碳现状和潜力[J].生态学报,2008,28(2):463-469. Duan Xiaonan, Wang Xiaoke, Lu Fei, et al. Carbon sequestration and its potential by wetland ecosystems in China [J]. Acta Ecologica Sinica, 2008,28(2):463-469.

刘子刚.湿地生态系统碳储存和温室气体排放研究[J].地理科学,2004,24(5):634-639. Liu Zigang. Carbon stock and GHG emission of wetland ecosystem [J]. Scientia Geographica Sinica, 2004,24(5):634-639.

Liu Feng, Wu Huayong, Zhao Yuguo, et al. Mapping high resolution National Soil Information Grids of China [J]. Science Bulletin, 2022,67(3):328-340.

Chen L C, Zhu Yukun, Papandreou G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation [M]//Computer Vision-ECCV 2018.Cham: Springer International Publishing, 2018.

Chen Zhanzhuo, Huang Min, Zhu Daoye, et al. Integrating remote sensing and a Markov-FLUS model to simulate future land use changes in Hokkaido, Japan [J]. Remote Sensing, 2021,13(13):2621.

金琳,李玉娥,高清竹,等.中国农田管理土壤碳汇估算[J].中国农业科学,2008,41(3):734-743. Jin Lin, Li Yu’e, Gao Qingzhu, et al. Estimate of carbon sequestration under cropland management in China [J]. Scientia Agricultura Sinica, 2008,41(3):734-743.

许信旺,潘根兴.中国水稻土碳循环研究进展[J].生态环境,2005,14(6):961-966. Xu Xinwang, Pan Genxing. The Progress in the carbon cycle researches in paddy soil in China [J]. Ecology and Environmental Sciences, 2005,14(6):961-966.

邱乐丰,虞舟鲁.1979—2020年杭州市富阳区土地利用对耕层土壤有机碳储量变化的影响[J].浙江农业学报,2019,31(2):291-296. Qiu Lefeng, Yu Zhoulu. Land use changes induced soil organic carbon stock variations in cropland soils in Fuyang District, Hangzhou City in 1979—2020[J]. Acta Agriculturae Zhejiangensis, 2019,31(2):291-296.

朱良骏.碳中和视角下城市行道树碳汇能力研究：以海口市为例[D].海南海口:海南大学,2023. Zhu Liangjun. Research on the carbon sink capacity of urban street trees based on the perspective of carbon neutrality： taking Haikou as an example [D]. Haikou, Hainan: Hainan University, 2023.

Zhang Xiaoxin, Brandt M, Tong Xiaoye, et al. Urban core greening balances browning in urban expansion areas in China during recent decades [J]. Journal of Remote Sensing, 2024,4:112.

Wang Mei, Chen Huai, Yu Zicheng, et al. Carbon accumulation and sequestration of lakes in China during the Holocene [J]. Global Change Biology, 2015,21(12):4436-4448.

何苏南,王凯,郁凯,等.2001—2021年中国湿地碳汇研究进展与热点趋势分析[J].湿地科学与管理,2024,20(1):70-75. He Sunan, Wang Kai, Yu Kai, et al. Research progress and hot spot trends in wetland carbon sink in China during 2001 to 2021[J]. Wetland Science & Management, 2024,20(1):70-75.

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