海南岛中部山区土地利用变化对碳储量时空分异的影响

张育诚, 韩念龙, 胡珂, 于淼, 黎兴强

南京林业大学学报(自然科学版) ›› 2023, Vol. 47 ›› Issue (2) : 115-122.

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南京林业大学学报(自然科学版) ›› 2023, Vol. 47 ›› Issue (2) : 115-122. DOI: 10.12302/j.issn.1000-2006.202105030
研究论文

海南岛中部山区土地利用变化对碳储量时空分异的影响

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The impact of land-use changes on the spatio-temporal variation of carbon storage in the central mountainous area of Hainan Island

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摘要

【目的】研究海南岛中部山区土地利用变化与生态系统碳储量之间的时空变化规律,为区域可持续发展及国土空间规划决策提供依据。【方法】采用InVEST 模型估算2000—2018年海南岛中部山区碳储量及其时空分异,结合PLUS模型模拟2050年中部山区土地利用及碳储量变化。【结果】2000、2010和2018年海南岛中部山区的碳储量分别为 80.44×106、79.96×106和79.82×106 t,呈逐年减少趋势,累计减少620 406.31 t。各时期碳储量降低的原因不同:2000—2010年草地的转出是中部山区碳储量减少的主要因素;2010—2018年碳储量减少的原因在于城镇化扩张侵占林地及耕地。林地作为主要地类,贡献大部分的碳储量,是中部山区碳汇的主要来源;同时,草地碳密度远高于其他地类,区域碳储量对其变化较为敏感。基于自然发展状态下的模拟发现,2050年海南岛中部山区的碳储量显著下降,原因在于建设用地和水域面积增加及林地、草地和耕地面积减少。【结论】在城镇化扩张的背景下,生态系统碳储量存在不断下降的风险。未来国土空间规划应采取必要的生态保护措施加强应对,以保障中部山区生态系统碳存储功能稳定及区域的可持续发展。

Abstract

【Objective】 Understanding the spatio-temporal variation of land use change and ecosystem carbon storage in the central mountainous area of Hainan Island, China can provide a basis for a regional sustainable development and territorial spatial planning.【Method】 The InVEST model was used to estimate the variation of the carbon storage capacity (from 2000 to 2018) of a mountainous region in Hainan Island. These estimations were then used as an input in the PLUS model to simulate the impact of land use changes on the carbon storage of the region in 2050. 【Result】 The carbon storage of the central mountainous area in 2000, 2010 and 2018 was 80.44×106, 79.96×106 and 79.82×106 t, respectively. Throughout this time, the storage decreased, culminating in a cumulative decrease of 620 406.31 t. The reasons for the decrease were: from 2000 to 2010, the shrinking of the grassland biome in the region was the main contributing factor; from 2010 to 2018, the encroachment of urbanization on forest and cultivated land was the main driver of the decrease. As the major biome in the region, forest contributed most of the carbon storage. Grassland was much higher than other land types in terms of carbon storage density, and the regional carbon storage was sensitive to changes in its structure. Under the natural development scenario, the result of simulation indicated that the carbon storage in the study area would drop significantly in 2050, owing to the area increase in construction land and waters and the area decrease in forest land, grassland, and cultivated land. 【Conclusion】 There is a risk of declining carbon storage in ecosystems as urbanization increasing. Therefore, to ensure the stability of ecosystem functions and sustainable development, it is necessary to apply protective measures to the habitats of the study area.

关键词

碳储量 / 海南岛中部山区 / 土地利用变化 / InVEST模型 / PLUS模型

Key words

carbon storage / central mountainous area of Hainan Island / land use change / InVEST model / PLUS model

引用本文

导出引用
张育诚, 韩念龙, 胡珂, . 海南岛中部山区土地利用变化对碳储量时空分异的影响[J]. 南京林业大学学报(自然科学版). 2023, 47(2): 115-122 https://doi.org/10.12302/j.issn.1000-2006.202105030
ZHANG Yucheng, HAN Nianlong, HU Ke, et al. The impact of land-use changes on the spatio-temporal variation of carbon storage in the central mountainous area of Hainan Island[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2023, 47(2): 115-122 https://doi.org/10.12302/j.issn.1000-2006.202105030
中图分类号: Q148   

参考文献

[1]
HOUGHTON R A. Revised estimates of the annual net flux of carbon to the atmosphere from changes in land use and land management 1850-2000[J]. Tellus B Chem Phys Meteorol, 2003, 55(2): 378-390.DOI: 10.1034/j.1600-0889.2003.01450.x.
[2]
马晓哲, 王铮. 土地利用变化对区域碳源汇的影响研究进展[J]. 生态学报, 2015, 35(17):5898-5907.
MA X Z, WANG Z. Progress in the study on the impact of land-use change on regional carbon sources and sinks[J]. Acta Ecol Sin, 2015, 35(17):5898-5907.DOI:10.5846/stxb201312112932.
[3]
刘魏魏, 王效科, 逯非, 等. 全球森林生态系统碳储量、固碳能力估算及其区域特征[J]. 应用生态学报, 2015, 26(9):2881-2890.
LIU W W, WANG X K, LU F, et al. Regional and global estimates of carbon stocks and carbon sequestration capacity in forest ecosystems: a review[J]. Chin J Appl Ecol, 2015, 26(9):2881-2890.DOI:10.13287/j.1001-9332.20150630.005.
[4]
李云红, 邵英男, 陈瑶, 等. 云冷杉红松林和蒙古栎红松林对土壤活性有机碳含量的影响[J]. 森林工程, 2021, 37(3): 60-66.
LI Y H, SHAO Y N, CHEN Y, et al. Effects of Picea sp.-Abies sp.-Pinus koraiensis forests and Quercus mongolica-Pinus koraiensis forests on soil labile organic carbon content[J]. Forest Engineering, 2021, 37(3): 60-66. DOI:10.16270/j.cnki.slgc.2021.03.008.
[5]
周汝波, 林媚珍, 吴卓, 等. 珠江西岸生态系统碳储量对土地利用变化的响应[J]. 生态科学, 2018, 37(6):175-183.
ZHOU R B, LIN M Z, WU Z, et al. Responses of ecosystem carbon stocks to land use change on the west side of the Pearl River[J]. Ecol Sci, 2018, 37(6):175-183. DOI:10.14108/j.cnki.1008-8873.2018.06.023.
[6]
张文华, 贾志斌, 卓义, 等. InVEST模型对锡林郭勒草原碳储量研究的适用性分析[J]. 地球环境学报, 2016, 7(1):87-96.
ZHANG W H, JIA Z B, ZHUO Y, et al. Applicability research on carbon storage in the Xilin Gol grassland by InVEST model[J]. J Earth Environ, 2016, 7(1):87-96.DOI:10.7515/JEE201601010.
[7]
吴哲, 陈歆, 刘贝贝, 等. InVEST模型及其应用的研究进展[J]. 热带农业科学, 2013, 33(4):58-62.
WU Z, CHEN X, LIU B B, et al. Research progress and application of InVEST model[J]. Chin J Trop Agric, 2013, 33(4):58-62.DOI: 10.3969/j.issn.1009-2196.2013.04.012.
[8]
邓元杰, 姚顺波, 侯孟阳, 等. 退耕还林还草工程对生态系统碳储存服务的影响:黄土高原丘陵沟壑区子长县为例[J]. 自然资源学报, 2020, 35(4):826-844.
DENG Y J, YAO S B, HOU M Y, et al. Assessing the effects of the Green for Grain Program on ecosystem carbon storage service by linking the InVEST and FLUS models:a case study of Zichang County in hilly and gully region of Loess Plateau[J]. J Nat Resour, 2020, 35(4):826-844.DOI:10.31497/zrzyxb.20200407.
[9]
刘晓娟, 黎夏, 梁迅, 等. 基于FLUS-InVEST模型的中国未来土地利用变化及其对碳储量影响的模拟[J]. 热带地理, 2019, 39(3):397-409.
LIU X J, LI X, LIANG X, et al. Simulating the change of terrestrial carbon storage in China based on the FLUS-InVEST model[J]. Trop Geogr, 2019, 39(3):397-409.DOI:10.13284/j.cnki.rddl.003138.
[10]
张燕, 师学义, 唐倩. 不同土地利用情景下汾河上游地区碳储量评估[J]. 生态学报, 2021, 41(1):360-373.
ZHANG Y, SHI X Y, TANG Q. Carbon storage assessment in the upper reaches of the Fenhe River under different land use scenarios[J]. Acta Ecol Sin, 2021, 41(1):360-373.DOI:10.5846/stxb201909242005.
[11]
杨洁, 谢保鹏, 张德罡. 基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究[J]. 中国生态农业学报(中英文), 2021, 29(6):1018-1029.
YANG J, XIE B P, ZHANG D G. Spatio-temporal evolution of carbon stocks in the Yellow River Basin based on InVEST and CA-Markov models[J]. Chinese Journal of Eco-Agriculture, 2021, 29(6):1018-1029.DOI:10.13930/j.cnki.cjea.200746.
[12]
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]. Comput Environ Urban Syst, 2021, 85:101569.DOI:10.1016/j.compenvurbsys.2020.101569.
[13]
SHI M J, WU H Q, FAN X, et al. Trade-offs and synergies of multiple ecosystem services for different land use scenarios in the Yili River valley,China[J]. Sustainability, 2021, 13(3):1577.DOI:10.3390/su13031577.
[14]
HAN N, YU M, JIA P. Multi-scenario landscape ecological risk simulation for sustainable development goals: a case study on the central mountainous area of Hainan Island[J]. International Journal of Environmental Research and Public Health, 2022, 19(7): 4030.
[15]
FANG J Y, WANG Z M. Forest biomass estimation at regional and global levels,with special reference to China’s forest biomass[J]. Ecol Res, 2001, 16(3):587-592.DOI:10.1046/j.1440-1703.2001.00419.x.
[16]
叶金盛, 佘光辉. 广东省森林植被碳储量动态研究[J]. 南京林业大学学报(自然科学版), 2010, 34(4):7-12.
YE J S, SHE G H. Forest carbon dynamics in Guangdong Province[J]. J Nanjing For Univ (Nat Sci Ed), 2010, 34(4):7-12.DOI:10.3969/j.jssn.1000-2006.2010.04.002.
[17]
方精云, 刘国华, 徐嵩龄. 我国森林植被的生物量和净生产量[J]. 生态学报, 1996, 16(5):497-508.
FANG J Y, LIU G H, XU S L. Biomass and net production of forest vegetation in China[J]. Acta Ecol Sin, 1996, 16(5):497-508.
[18]
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 S L, FANG J Y, HE J S, et al. Spatial distribution of grassland biomass in China[J]. Acta Phytoecol Sin, 2004, 28(4):491-498.DOI: 10.17521/cjpe.2004.0067.
[19]
LIU X P, LIANG X, Li X, et al. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects[J]. Landsc Urban Plan, 2017, 168: 94-116.DOI: 10.1016/j.landurbplan.2017.09.019.
[20]
韩念龙, 张亦清, 张伟璇. 海南岛土地利用及产水量时空变化模拟[J]. 水资源保护, 2022, 38(2):119-127.
HAN N L, ZHANG Y Q, ZHANG W X. Simulation of temporal and spatial changes of land use and water yield in Hainan Island[J]. Water Resour Prot, 2022, 38(2):119-127.DOI:10.3880/j.issn.1004-6933.2022.02.017.
[21]
胡杰龙, 辛琨, 李真, 等. 海南东寨港红树林保护区碳储量及固碳功能价值评估[J]. 湿地科学, 2015, 13(3):338-343.
HU J L, XIN K, LI Z, et al. Carbon storage and sequestration function evaluation in Dongzhaigang Mangrove Reserve of Hainan[J]. Wetl Sci, 2015, 13(3):338-343.DOI:10.13248/j.cnki.wetlandsci.2015.03.011.
[22]
朱美玲, 王旭, 王帅, 等. 海南岛典型地区桉树人工林生态系统碳、氮储量及其分配格局[J]. 热带作物学报, 2015, 36(11):1943-1950.
ZHU M L, WANG X, WANG S, et al. Carbon and nitrogen storage allocation of eucalyptus plantations in Hainan[J]. Chin J Trop Crops, 2015, 36(11):1943-1950.DOI:10.3969/j.issn.1000-2561.2015.11.005.
[23]
王明哲, 崔晓阳, 李斯雯, 等. 大兴安岭北端地形因子对针叶林土壤黑碳储量的影响[J]. 南京林业大学学报(自然科学版), 2021, 45(1): 151-158.
WANG M Z, CUI X Y, LI S W, et al. Effects of topographic factors on soil black carbon storage in coniferous forests at the north end of Greater Khingan Mountains[J]. J Nanjing For Univ (Nat Sci Ed), 2021, 45(1): 151-158.DOI: 10.12302/j.issn.1000-2006.201907005.
[24]
曹军, 张镱锂, 刘燕华. 近20年海南岛森林生态系统碳储量变化[J]. 地理研究, 2002, 21(5):551-560.
CAO J, ZHANG Y L, LIU Y H. Changes in forest biomass carbon storage in Hainan Island over the last 20 years[J]. Geogr Res, 2002, 21(5):551-560.DOI:10.11821/yj2002050003.

基金

海南省自然科学基金项目(421RC1034)

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