SPATIAL AND TEMPORAL EVOLUTION OF CARBON STORAGE IN POYANG LAKE BASIN BASED ON PLUS AND INVEST MODEL

FU Shuai; PENG Yuxin; XU Bingxian

doi:10.13205/j.hjgc.202310020

Volume 41 Issue 10

Oct. 2023

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(10): 163-172

FU Shuai, PENG Yuxin, XU Bingxian. SPATIAL AND TEMPORAL EVOLUTION OF CARBON STORAGE IN POYANG LAKE BASIN BASED ON PLUS AND INVEST MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 163-172. doi: 10.13205/j.hjgc.202310020

Citation:

FU Shuai, PENG Yuxin, XU Bingxian. SPATIAL AND TEMPORAL EVOLUTION OF CARBON STORAGE IN POYANG LAKE BASIN BASED ON PLUS AND INVEST MODEL[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 163-172. doi: 10.13205/j.hjgc.202310020

Citation:

PDF( 13060 KB)

SPATIAL AND TEMPORAL EVOLUTION OF CARBON STORAGE IN POYANG LAKE BASIN BASED ON PLUS AND INVEST MODEL

doi: 10.13205/j.hjgc.202310020

FU Shuai^1,2,
PENG Yuxin^{1
,
,},
XU Bingxian¹

1. Department of Land Resource Management, College of Taxation and Public Administration, Jiangxi University of Finance and Economics, Nanchang 330013, China;
2. Xinjiang Key Laboratory of Water Cycle and Water Utilization in Arid Areas, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

Received Date: 2023-07-08
Available Online: 2023-12-26

Abstract

Abstract

Urban expansion and land use change cause changes in the habitat and carbon storage in the Poyang Lake basin. In order to investigate the impact of land use replacement on carbon storage, this study took the Poyang Lake Basin as the research area, and applied InVEST model and PLUS model to simulate and predict the spatiotemporal distribution characteristics of land use and carbon storage, in order to explore the spatiotemporal evolution and response mechanism of carbon storage under natural development, urban construction, and ecological protection scenarios. The results showed that:1) the water area and construction land in Poyang Lake basin expanded from 2000 to 2020, while the land carbon storage continued to decline. 2) under the natural development and urban development scenarios, the amount of forest land, grassland and unused land decreased; under the ecological protection scenario, the amount of grassland decreased while forest land expanded; under the natural development scenario, cultivated land expanded. 3) compared with 2020, carbon storage in 2030 under natural development, urban development and ecological protection scenarios decreased by 190000 tons, decreased by 1.49 million tons and increased by 250000 tons, respectively, and land use distribution showed a high consistency with carbon storage distribution. Exploring the spatio-temporal evolution of land use and carbon storage in Poyang Lake Basin, and anticipating future trend, is conducive to the sustainable development of land use in the basin, and provides a reference for realizing the Dual Carbon goal in the Poyang Lake basin.
- Poyang Lake basin,
- carbon storage,
- land use change,
- InVEST model,
- PLUS model

FullText(HTML)

References(34)

References

[1]	康欢倩, 傅雪罡, 王林, 等.不同经营水平下江西森林碳汇贡献力预测分析[J].南方林业科学, 2022, 50(6):45-49.
[2]	匡丹, 邓强.践行"绿水青山就是金山银山" 推进高质量跨越式发展研究:以江西省为例[J].中共南昌市委党校学报, 2020, 18(4):61-65.
[3]	马回, 王露瑶, 赵琨婷.江西生态环境保护与治理的实践探索与启示[J].海峡科技与产业, 2021, 34(7):8-10.
[4]	黄卉.基于InVEST模型的土地利用变化与碳储量研究[D].北京:中国地质大学, 2015.
[5]	周涛, 史培军.土地利用变化对中国土壤碳储量变化的间接影响[J].地球科学进展, 2006, 21(2):138-143.
[6]	揣小伟, 黄贤金, 郑泽庆, 等.江苏省土地利用变化对陆地生态系统碳储量的影响[J].资源科学, 2011, 33(10):1932-1939.
[7]	程鹏飞, 王金亮, 王雪梅, 等.森林生态系统碳储量估算方法研究进展[J].林业调查规划, 2009, 34(6):39-45.
[8]	孙清芳, 贾立明, 刘玉龙, 等.中国森林植被与土壤碳储量估算研究进展[J].环境化学, 2016, 35(8):1741-1744.
[9]	卢雅焱, 徐晓亮, 李基才, 等.基于InVEST模型的新疆天山碳储量时空演变研究[J].干旱区研究, 2022, 39(6):1896-1906.
[10]	如克亚·热合曼, 阿里木江·卡斯木, 希丽娜依·多来提, 等.天山北坡城市群碳储量时空变化及预测研究[J].中国环境科学, 2022, 42(12):5905-5917.
[11]	韩玉, 丁素婷, 杨太保.山西南部中条山生态系统碳储量时空分布及驱动因素[J].中国环境科学, 2023, 43(3):1298-1306.
[12]	韩艳莉, 陈克龙, 于德永.土地利用变化对青海湖流域生境质量的影响[J].生态环境学报, 2019, 28(10):2035-2044.
[13]	王耕, 王佳雯.丹东沿海地区土地利用变化对生境质量的影响研究[J].生态环境学报, 2021, 30(3):621-630.
[14]	张徐, 李云霞, 吕春娟, 等.基于InVEST模型的生态系统服务功能应用研究进展[J].生态科学, 2022, 41(1):237-242.
[15]	LIANG X, GUAN Q F, CLARKE K C, et al.Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model:a case study in Wuhan, China[J].Computers, Environment and Urban Systems, 2021, 85:101569.
[16]	谢向东, 林孝松, 王莹, 等.基于PLUS模型的重庆市南川区土地利用多情景模拟[J].长江科学院院报, 2023, 40(6):86-92.
[17]	冀泳帆, 贾鲁净, 杨联安, 等.耦合InVEST-PLUS模型的榆林市生境质量时空演变及预测分析[J].水土保持学报, 2023, 37(1):123-132.
[18]	林彤, 杨木壮, 吴大放, 等.基于InVEST-PLUS模型的碳储量空间关联性及预测:以广东省为例[J].中国环境科学, 2022, 42(10):4827-4839.
[19]	卫泽柱, 董斌, 许海锋, 等.鄱阳湖地区典型湿地碳储量时空演变与情景预测[J].水土保持通报, 2023, 43(3):1-11.
[20]	查印水, 汤序军, 吴建勋, 等.基于土壤类型法的鄱阳湖生态经济区土壤碳密度和碳储量评估[J].江西科学, 2020, 38(4):541-545.
[21]	纪昌品, 张晓平.鄱阳湖不同湿地植物群落光合碳储量及分配[J].水土保持研究, 2022, 29(3):121-127.
[22]	徐坚, 李国忠, 郑航, 等.基于遥感的鄱阳湖五河滨岸带生态功能分区研究[J].长江科学院院报, 2022, 39(7):154-162.
[23]	谢花林, 邹金浪, 彭小琳.基于能值的鄱阳湖生态经济区耕地利用集约度时空差异分析[J].地理学报, 2012, 67(7):889-902.
[24]	黄兰贵, 殷环环, 张航, 等.鄱阳湖出口浮游植物群落与环境因子分析[J].水利水电快报, 2021, 42(8):77-82.
[25]	孙欣欣, 薛建辉, 董丽娜.基于PLUS模型和InVEST模型的南京市生态系统碳储量时空变化与预测[J].生态与农村环境学报, 2023, 39(1):41-51.
[26]	郑航, 肖潇, 程学军, 等.基于PLUS与InVEST模型的鄱阳湖流域碳储时空动态研究[C]//2022中国水利学术大会(中国水利学会2022学术年会), 北京, 2022.
[27]	ZHOU Y, LI X, LIU Y.Land use change and driving factors in rural China during the period 1995-2015[J].Land Use Policy, 2020, 99:105048.
[28]	刘丹丹.基于InVEST模型江西省土地利用变化的生态效应研究[D].南昌:江西师范大学, 2021.
[29]	温玉玲, 李红波, 张小林, 等.近30年来鄱阳湖环湖区土地利用与景观格局变化研究[J].环境科学学报, 2022, 42(7):501-510.
[30]	高薇.江西省土地利用变化和人类活动强度关系研究[D].南昌:东华理工大学, 2021.
[31]	林一诚, 郑景明, 周怡宁, 等.基于InVEST模型的围场县小滦河流域碳储量空间分布及热点区域分析[J].生态学杂志, 1-11.
[32]	尚俊, 蔡海生, 龙月, 等.基于InVEST模型的鄱阳湖区生境质量时空演化及其变迁特征分析[J].长江流域资源与环境, 2021, 30(8):1901-1915.
[33]	车育婧.鄱阳湖生态经济区土地利用变化及其生态系统服务价值估算[D].南昌:江西师范大学, 2018.
[34]	卓成刚, 刘秀慧.江西省土地利用变化特征及驱动力分析[J].中国国土资源经济, 2016, 29(11):68-72 , 33.