Transition of Productional-Living-Ecological Space and Carbon Storage Effect in Guangxi Border Area Under Carbon Neutrality Goal

Wei Shaoyin; Lu Rucheng; Zhang Liguo; Lin Xiaonan; Chen Yuxin; Yang Xin

doi:10.13961/j.cnki.stbctb.20230220.005

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Transition of Productional-Living-Ecological Space and Carbon Storage Effect in Guangxi Border Area Under Carbon Neutrality Goal

- Transition of Productional-Living-Ecological Space and Carbon Storage Effect in Guangxi Border Area Under Carbon Neutrality Goal
- Bulletin of Soiland Water Conservation Vol. 43, Issue 1, Pages: 399-408(2023)
- 作者机构：
  
  1. 南宁师范大学自然资源与测绘学院,广西,南宁,530100
  2. 南宁师范大学北部湾环境演变与资源利用教育部重点实验室,广西,南宁,530100
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.20230220.005
  CLC： F205;F301.2
- Published：2023
- 稿件说明：
移动端阅览
Wei Shaoyin, Lu Rucheng, Zhang Liguo, et al. Transition of Productional-Living-Ecological Space and Carbon Storage Effect in Guangxi Border Area Under Carbon Neutrality Goal[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 399-408.
DOI：

Wei Shaoyin, Lu Rucheng, Zhang Liguo, et al. Transition of Productional-Living-Ecological Space and Carbon Storage Effect in Guangxi Border Area Under Carbon Neutrality Goal[J]. Bulletin of Soiland Water Conservation, 2023, 43(1): 399-408. DOI： 10.13961/j.cnki.stbctb.20230220.005.

摘要

[目的

]

系统分析“三生”空间转型下的碳储量效应，以期优化空间布局与提升边区生态系统固碳能力，助推国家实现“碳中和”的战略目标。[方法

]

采用“三生”空间动态度、“三生”空间转移矩阵刻画边境“三生”空间分布格局和转型特征，借助InVEST模型和“三生”空间碳储量贡献率揭示边境1990—2020的碳储量时空分异及“三生”空间转型对碳储量的影响。[结果

]

①1990—2020年边境地区以绿被生态空间占绝对主体，农业生产空间和水域生态空间为辅的组合特点，分布上呈现“南北两翼高，中部低”特征。 ②研究期内边境地区“三生”空间转型呈现出初期稳定、中期波动、后期剧烈的发展态势，除水域生态空间外，其余空间均于2010—2020年动态度变化最为显著。 ③1990—2020年，边境地区碳储量整体呈现逐期持续递减，研究初期与中期变动幅度不大，末期碳储量深刻变化；40 a间碳储量共计损失4.13×10

t，绿被生态空间与农业生产空间的相互转换主导着广西边境地区碳储量的变化。[结论

]

应调整与优化区域“三生”空间用地结构，促进“三生”空间融合，并以“碳中和”为目标导向，强化空间用途管制，为提升区域碳储资源提供精确保障。

Abstract

[Objective] The effect of carbon storage under the transition of the productional-living-ecological space was systematically analyzed in order to optimize the spatial layout and increase the carbon sequestration capacity of the Guangxi border area ecosystem so that the strategic goal of “carbon neutrality” could be achieved in China. [Methods] This study used a land change dynamic attitude model and land use transfer matrix to describe the spatial distribution pattern and transformation characteristics of the productional-living-ecologyical space along the Guangxi border. Based on the InVEST model and the contribution rate of productional-living-ecologyical space carbon storage

the spatio-temporal variation of carbon storage and the impact of the productional-living-ecologyical space transition on carbon storage in the border area during 1990—2020 were determined. [Results] ① From 1990 to 2020

the border area was dominated by green ecological space

supplemented by agricultural production space and water ecological space

with a distribution pattern of “high in the north and south regions

and low in the central region”. ② During the study period

the transition of the productional-living-ecological space in the border area showed a stable development in the early stage

fluctuating development in the middle stage

and drastic development in the late stage. Except for the ecological space of the water area

the change of dynamic attitude in other areas was most significant from 2010 to 2020. ③ From 1990 to 2020

overall carbon storage in the border area showed a continuous decline over time

with a small change in the early and middle stages

and a profound change in the late stage. In the past 40 years

a total of 4.13×106 t of carbon storage has been lost. The conversion of green ecological space and agricultural production space dominated the change of carbon storage in the Guangxi border area. [Conclusion] It will be necessary to adjust and optimize the land use structure of regional productional-ecological space

promote the integration of productioal-ecological space

and strengthen the regulation of space use with the goal of “carbon neutrality” so as to accurately guarantee improvement of regional carbon storage resources.

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references

周浩,金平,夏卫生.省级国土空间“三生”功能评价及其分区研究: 以河南省为例[J].中国土地科学,2020,34(8):10-17.

曹小曙.基于人地耦合系统的国土空间重塑[J].自然资源学报,2019,34(10):2051-2059.

Sarkodie S A, Owusu P A, Leirvik T. Global effect of urban sprawl, industrialization, trade and economic development on carbon dioxide emissions [J]. Environmental Research Letters, 2020,15(3):034049.

Kauffman J B, Adame M F, Arifanti V B, et al. Total ecosystem carbon stocks of mangroves across broad global environmental and physical gradients [J]. Ecological Monographs, 2020,90(2):e01415.

Mori A S. Advancing nature-based approaches to address the biodiversity and climate emergency [J]. Ecology Letters, 2020,23(12):1729-1732.

戴尔阜,黄宇,吴卓,等.内蒙古草地生态系统碳源/汇时空格局及其与气候因子的关系[J].地理学报,2016,71(1):21-34.

方精云,于贵瑞,任小波,等.中国陆地生态系统固碳效应: 中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题”之生态系统固碳任务群研究进展[J].中国科学院院刊,2015,30(6):848-857.

朱志强,马晓双,胡洪.基于耦合FLUS-InVEST模型的广州市生态系统碳储量时空演变与预测[J].水土保持通报,2021,41(2):222-229,239.

陈万旭,李江风,曾杰,等.中国土地利用变化生态环境效应的空间分异性与形成机理[J].地理研究,2019,38(9):2173-2187.

杨清可,段学军,王磊,等.基于“三生空间”的土地利用转型与生态环境效应: 以长江三角洲核心区为例[J].地理科学,2018,38(1) 97-106.

勾蒙蒙,刘常富,李乐,等.“三生空间”视角下三峡库区土地利用转型的生态系统服务价值效应[J].应用生态学报,2021,32(11):3933-3941.

李明珍,李阳兵,冉彩虹.土地利用转型背景下的乡村景观格局演变响应: 基于草堂溪流域的样带分析[J].自然资源学报,2020,35(9):2283-2298.

兰秀,杜虎,宋同清,等.广西主要森林植被碳储量及其影响因素[J].生态学报,2019,39(6):2043-2053.

贾海霞,汪霞,李佳,等.新疆焉耆盆地绿洲区农田土壤有机碳储量动态模拟[J].生态学报,2019,39(14):5106-5116.

李翠华,蔡榕硕,颜秀花.2010—2018年海南东寨港红树林湿地碳收支的变化分析[J].海洋通报,2020,39(4):488-497.

Wang Yinyin, Deng Lei, Wu Gaolin, et al. Estimates of carbon storage in grassland ecosystems on the Loess Plateau [J]. Catena, 2018,164:23-31.

Zhao Miaomiao, Yang Jilin, Zhao Na, et al. Estimation of China’s forest stand biomass carbon sequestration based on the continuous biomass expansion factor model and seven forest inventories from 1977 to 2013[J]. Forest Ecology and Management, 2019,448:528-534.

朱文博,张静静,崔耀平,等.基于土地利用变化情景的生态系统碳储量评估: 以太行山淇河流域为例[J].地理学报,2019,74(3):446-459.

张影,谢余初,齐姗姗,等.基于InVEST模型的甘肃白龙江流域生态系统碳储量及空间格局特征[J].资源科学,2016,38(8):1585-1593.

周锐,苏海龙,王新军,等.基于CLUE-S模型和Markov模型的城镇土地利用变化模拟预测: 以江苏省常熟市辛庄镇为例[J].资源科学,2011,33(12):2262-2270.

Zhao Mingwei, Yue Tianxiang, Zhao Na, et al. Combining LPJ-GUESS and HASM to simulate the spatial distribution of forest vegetation carbon stock in China [J]. Journal of Geographical Sciences, 2014,24(2):249-268.

Li Lu, Song Yan, Wei Xuhua, et al. Exploring the impacts of urban growth on carbon storage under integrated spatial regulation: A case study of Wuhan, China [J]. Ecological Indicators, 2020,111:106064.

张平平,李艳红,殷浩然,等.中国南北过渡带生态系统碳储量时空变化及动态模拟[J].自然资源学报,2022,37(5):1183-1197.

李妙宇,上官周平,邓蕾.黄土高原地区生态系统碳储量空间分布及其影响因素[J].生态学报,2021,41(17):6786-6799.

刘冠,李国庆,李洁,等.基于InVEST模型的1999—2016年麻塔流域碳储量变化及空间格局研究[J].干旱区研究,2021,38(1):267-274.

郭晓敏,揣小伟,张梅,等.扬子江城市群土地利用时空变化及其对陆地生态系统碳储量的影响[J].长江流域资源与环境,2019,28(2):269-280.

满卫东,刘明月,王宗明,等.1990—2015年东北地区草地变化遥感监测研究[J].中国环境科学,2020,40(5):2246-2253.

张佰发,苗长虹.黄河流域土地利用时空格局演变及驱动力[J].资源科学,2020,42(3):460-473.

陈美景,王庆日,白中科,等.碳中和愿景下“三生空间”转型及其碳储量效应: 以贵州省为例[J].中国土地科学,2021,35(11):101-111.

陈曦.广西土壤有机碳储量估算及与全国部分省区的比较研究[J].地理科学,2014,34(10):1247-1253.

张凯琪,陈建军,侯建坤,等.耦合InVEST与GeoSOS-FLUS模型的桂林市碳储量可持续发展研究[J].中国环境科学,2022,42(6):2799-2809.

荣检.基于InVEST模型的广西西江流域生态系统产水与固碳服务功能研究[D].广西南宁:广西师范学院,2017.

朱鹏飞.基于InVEST模型的广西沿海地区土地利用/覆被变化的生态效应研究[D].广西南宁:广西师范学院,2018.

吴佩君,刘小平,黎夏,等.基于InVEST模型和元胞自动机的城市扩张对陆地生态系统碳储量影响评估: 以广东省为例[J].地理与地理信息科学,2016,32(5):22-28.

苑韶峰,唐奕钰,申屠楚宁.土地利用转型时空演变及其生态环境效应: 基于长江经济带127个地级市的实证研究[J].经济地理,2019,39(9):174-181.

汪瑾,韩佳伶.“一带一路”下广西与越南边境贸易发展研究[J].广西社会科学,2018(10):59-62.

张萌萌,刘梦云,常庆瑞,等.1985—2015年陕西黄土台塬表层土壤有机碳空间分布[J].自然资源学报,2018,33(11):2032-2045.

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