贵州大学农学院,贵阳,550025
[ "邰良(1999—),男,在读硕士研究生,主要从事土地利用变化及其固碳效应研究。E-mail:gztailiang@outlook.com" ]
纸质出版:2024
移动端阅览
邰良, 陈佳, 龙文涛, 等. 贵州省退耕还林(草)时空格局及其固碳效应[J]. 水土保持学报, 2024,38(6):170-177.
TAI Liang, CHEN Jia, LONG Wentao, et al. Spatial-temporal Pattern of the “Grain-for-Green Project” and Its Carbon Sequestration Effect in Guizhou Province[J]. 2024, 38(6): 170-177.
邰良, 陈佳, 龙文涛, 等. 贵州省退耕还林(草)时空格局及其固碳效应[J]. 水土保持学报, 2024,38(6):170-177. DOI: 10.13870/j.cnki.stbcxb.2024.06.032.
TAI Liang, CHEN Jia, LONG Wentao, et al. Spatial-temporal Pattern of the “Grain-for-Green Project” and Its Carbon Sequestration Effect in Guizhou Province[J]. 2024, 38(6): 170-177. DOI: 10.13870/j.cnki.stbcxb.2024.06.032.
[目的] 为探究退耕还林(草)工程对贵州省陆地生态系统碳储量的影响。[方法] 以贵州省为例
利用ArcGIS与InVEST模型相结合
研究2000—2020年贵州省退耕还林(草)时空分布格局及碳储量变化。[结果] (1)2000—2020年贵州省土地利用变化显著
综合动态度呈先下降后上升的趋势
依次为0.32%
0.11%
0.09%
0.35%。耕地、林地和草地之间相互转换
建设用地与水域主要来源于耕地。(2)2000—2020年退耕还林(草)总面积为238.17万hm2
土地利用转型主要以耕地转向林地为主
占总退耕还林(草)总面积的84.86%
主要分布在遵义市、毕节市和黔西南州等地。(3)2000—2020年退耕还林(草)区的碳储量共增加257.40×106 t
呈逐渐增长的趋势。耕地转向林地的固碳量最大
达239.89×106 t(93.2%)
土壤碳库为主要贡献者
碳储量为178.15×106 t(69.21%)。[结论] 实施退耕还林(草)工程有助于提高区域生态系统碳储量
耕地转向林地的固碳能力最大
耕地转向草地的固碳能力较小
在未来实施退耕还林(草)工程可优先考虑耕地退耕成林地
有助于提高区域碳储量。
[Objective] To analyze the impacts of the "Grain-for-Green Project" on the ecosystem carbon stocks in Guizhou Province. [Methods] Taking Guizhou Province as an example
the spatial and temporal distribution pattern and carbon stock changes of the "Grain-for-Green Project" in Guizhou Province from 2000 to 2020 were investigated by using ArcGIS in combination with the InVEST model. [Results] (1) During the 20-year period
land use in Guizhou Province had changed significantly
and the comprehensive dynamic had shown a downward and then an upward trend
which was 0.32%
0.11%
0.09%
0.35% in order. There was an interconversion among cropland
woodland and grassland
with built-up land and waters mainly derived from cropland. (2) The total area of the "Grain-for-Green Project" from 2000 to 2020 was 2 381 700 hm2
of which the land use transformation was mainly dominated by the conversion of cropland to forest land
which accounted for 84.86% of the total area of the "Grain-for-Green Project"
and mainly in Zunyi
Bijie and Qianxinan Prefecture
etc. (3) A total of 257.40×106 t carbon stock was added to the "Grain-for-Green Project" area from 2000 to 2020
showing a trend of gradual growth. Cropland shifted to forest land sequestered the largest amount of carbon
amounting to 239.89×106 t (93.2%)
and the soil carbon pool was the main contributor
with a carbon stock of 178.15×106 t (69.21%). [Conclusion] The implementation of the "Grain-for-Green Project" helps to increase the regional ecosystem carbon stock. The carbon sequestration capacity of conversion of cropland to forest land is the largest
and the carbon sequestration capacity of conversion of cropland to grassland is smaller. The implementation of the "Grain-for-Green Project" in the future can prioritize the conversion of cropland to forest land
in order to increase the regional carbon stock.
李坦,惠宝航,张添烨,等.1999—2019年中国退耕还林工程研究进展[J].安徽农业大学学报(社会科学版),2022,31(3):38-49. LI T, HUI B H, ZHANG T Y, et al. A review of the research on the grain for green program in China: 1999—2019[J]. Journal of Anhui Agricultural University (Social Sciences Edition),2022,31(3):38-49.
刘国彬,上官周平,姚文艺,等.黄土高原生态工程的生态成效[J].中国科学院院刊,2017,32(1):11-19. LIU G B, SHANGGUAN Z P, YAO W Y, et al. Ecological effects of soil conservation in Loess Plateau[J].Bulletin of the Chinese Academy of Sciences,2017,32(1):11-19.
时亚坤,曾奕,郭金金,等.黄土高原新一轮退耕还林草工程对粮食生产的影响[J].水土保持研究,2022,29(3):419-425. SHI Y K, ZENG Y, GUO J J, et al. Effect of the new phase of the Grain for Green Program on grain output on the Loess Plateau[J].Research of Soil and Water Conservation,2022,29(3):419-425.
吴普侠,汪晓珍,吴建召,等.中国退耕还林工程固碳现状及固碳潜力估算[J].水土保持学报,2022,36(4):342-349. WU P X, WANG X Z, WU J Z, et al. Estimation of carbon stock and carbon sequestration potential for China’s Grain for Green Project[J].Journal of Soil and Water Conservation,2022,36(4):342-349.
度阳.黄土高原地区退耕还林(草)工程效果研究[D].陕西杨凌:西北农林科技大学,2018. DU Y. Study on effects of SLCP in Loess Plateau[D].Yangling,Shanxi: Northwest A&F University,2018.
方月,王云强,宋怡.基于RS和GIS的陕西省洛川县土地利用类型和植被覆盖变化特征[J].地球环境学报,2024,15(1):118-128. FANG Y, WANG Y Q, SONG Y. Characteristics of land-use types and vegetation cover changes in Luochuan County of Shaanxi Province based on RS and GIS[J].Journal of Earth Environment,2024,15(1):118-128.
朴世龙,何悦,王旭辉,等.中国陆地生态系统碳汇估算:方法、进展、展望[J].中国科学:地球科学,2022,52(6):1010-1020. PIAO S L, HE Y, WANG X H, et al. Estimation of China’s terrestrial ecosystem carbon sink: Methods, progress and prospects[J].Science China Earth Sciences,2022,52(6):1010-1020.
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. DAI E F, HUANG Y, WU Z, et al. Spatial-temporal features of carbon source-sink and its relationship with climate factors in Inner Mongolia grassland ecosystem[J].Journal of Geographical Sciences,2016,71(1):21-34.
SHEVLIAKOVA E, STOUFFER R J, MALYSHEV S, et al. Historical warming reduced due to enhanced land carbon uptake[J].Proceedings of the National Academy of Sciences of the United States of America,2013,110(42):16730-16735.
HASHIM T T, SURATMAN M N, SINGH H R, et al. Predictive model of mangroves carbon stocks in Kedah, Malaysia using remote sensing[J].IOP Conference Series: Earth and Environmental Science,2020,540(1):e012033.
李胡跃,戴全厚,胡泽银,等.基于PLUS和InVEST模型的贵阳市碳储量时空演变及多情景模拟预测[J].水土保持通报,2024,44(3):441-451. LI H Y, DAI Q H, HU Z Y, et al. Temporal and spatial evolution of carbon storage in Guiyang city based on PLUS-InVEST model and multi-scenario simulation and prediction[J].Bulletin of Soil and Water Conservation,2024,44(3):441-451.
KOHESTANI N, RASTGAR S, HEYDARI G, et al. Spatiotemporal modeling of the value of carbon sequestration under changing land use/land cover using InVEST model: A case study of Nour-rud Watershed, Northern Iran[J].Environment, Development and Sustainability,2024,26(6):14477-14505.
胡晓倩.南方红壤丘陵区退耕还林(草)土壤保持和固碳服务及其空间关系影响因素研究[D].长沙:湖南大学,2022. HU X Q. Study on soil conservation and carbon sequestration of the Grain for Green Program and its influencing factors in the hilly red soil region of southern China[D].Changsha: Hunan University,2022.
姚楠,刘广全,姚顺波,等.基于InVEST模型的黄土丘陵沟壑区退耕还林还草工程对生态系统碳储量的影响评估[J].水土保持通报,2022,42(5):329-336. YAO N, LIU G Q, YAO S B, et al. Evaluationg on effect of conversion from farmland to forest and grassland project on ecosystem carbon storage in loess hilly-gully region based on InVEST model[J].Bulletin of Soil and Water Conservation,2022,42(5):329-336.
余万洋,陈怡帆,方发永,等.1980—2020年贵州省草地空间分布格局演变及驱动力分析[J].草业学报,2024,33(1):1-18. YU W Y, CHEN Y F, FANG F Y, et al. An analysis of grassland spatial distribution and driving forces of patterns of change in grassland distribution in Guizhou Province from 1980 to 2020[J].Acta Prataculturae Sinica,2024,33(1):1-18.
杨永艳,韦堂梅,李明泽,等.贵州省退耕还林工程监测县生态效益评价[J].贵州林业科技,2023,51(3):51-58. YANG Y Y, WEI T M, LI M Z, et al. Evaluating ecological benefits on Grain for Green Project (GGP) in Monitoring Counties of Guizhou Province[J].Guizhou Forestry Science and Technology,2023,51(3):51-58.
YANG J, HUANG X. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019[J].Earth System Science Data,2021,13(8):3907-3925.
甄艳,吴宗攀,尹志恒,等.四川省若尔盖县土地利用时空变化研究[J].生态科学,2022,41(2):41-49. ZHEN Y, WU Z P, YIN Z H, et al. Study on spatio-temporal change of land use in Zoige County, Sichuan Province[J].Ecological Science,2022,41(2):41-49.
黄钰清,李骁尧,于强,等.1995—2018年黄河流域土地利用变化及驱动力分析[J].西北林学院学报,2022,37(6):113-121. HUANG Y Q, LI X Y, YU Q, et al. An analysis of land use change and driving forces in the Yellow River Basin from 1995 to 2018[J].Journal of Northwest Forestry University,2022,37(6):113-121.
刘婉如,陈春波,罗格平,等.巴尔喀什湖流域土地利用/覆被变化过程与趋势[J].干旱区研究,2021,38(5):1452-1463. LIU W R, CHEN C B, LUO G P, et al. Change processes and trends of land use/cover in the Balkhash Lake Basin[J].Arid Zone Research,2021,38(5):1452-1463.
李慧颖.基于遥感和InVEST模型的辽宁省退耕还林工程生态效应评估[D].长春:吉林大学,2019. LI H Y. The evaluation on ecological effects of the project of returing farmland to forest in Liaoning Province, based on remote sensing and InVEST model[D].Changchun: Jilin University,2019.
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. LIU G, LI G Q, LI J, et al. Study on change in carbon storage and its spatial pattern in Mata Watershed from 1999 to 2016 based on InVEST model[J].Arid Zone Research,2021,38(1):267-274.
景晓玮.基于InVEST模型的贵州省生态系统服务计量及价值评估研究[D].南京:南京林业大学,2022. JING X W. Research on the measurement and valuation of ecosystem services in Guizhou Province based on the InVEST model[D].Nanjing: Nanjing Forestry University,2022.
陈大蓉,周旭,杨胜天,等.基于贵州省土地变化的碳储量演变及其脆弱性特征分析[J].水土保持通报,2023,43(3):301-309. CHEN D R, ZHOU X, YANG S T, et al. Analysis of carbon stock evolution and its vulnerability characteristics based on land use change in Guizhou Province[J].Bulletin of Soil and Water Conservation,2023,43(3):301-309.
侯西勇,邸向红,侯婉,等.中国海岸带土地利用遥感制图及精度评价[J].地球信息科学学报,2018,20(10):1478-1488. HOU X Y, DI X H, HOU W, et al. Accuracy evaluation of land use mapping using remote sensing techniques in coastal zone of China[J].Journal of Geo-Information Science,2018,20(10):1478-1488.
廖艳梅,尹林江,韩敏,等.贵州省土地利用变化及其生态效应分析[J].湖北农业科学,2023,62(9):25-30. LIAO Y M, YIN L J, HAN M, et al. Analysis of land use change and its ecological effects in Guizhou Province[J].Hubei Agricultural Sciences,2023,62(9):25-30.
郜红娟,韩会庆,张朝琼,等.乌江流域贵州段2000—2010年土地利用变化对碳储量的影响[J].四川农业大学学报,2016,34(1):48-53. GAO H J, HAN H Q, ZHANG C Q, et al. Effects of land use change on carbon storage in Wujiang River of Guizhou Province from 2000—2010[J].Journal of Sichuan Agricultural University,2016,34(1):48-53.
许明祥,王征,张金,等.黄土丘陵区土壤有机碳固存对退耕还林草的时空响应[J].生态学报,2012,32(17):5405-5415. XU M X, WANG Z, ZHANG J, et al. Response of soil organic carbon sequestration to the "Grain for Green Project" in the hilly Loess Plateau region[J].Acta Ecologica Sinica,2012,32(17):5405-5415.
0
浏览量
191
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621