| 116 | 0 | 61 |
| 下载次数 | 被引频次 | 阅读次数 |
【目的】基于生产-生活-生态(“三生空间”)框架，揭示黄河流域植被净初级生产力(NPP)的时空分异特征及其驱动机制，明确不同功能空间NPP变化及影响因素的差异，为黄河流域不同功能空间的生态管理提供科学参考。【方法】基于“三生空间”功能分区框架，利用CASA模型反演2000—2025年黄河流域NPP，并运用地理探测器，分别在生产、生活与生态空间内分析自然因子与人为因子对NPP变化的主导作用及交互效应。【结果】(1)2000—2025年间，黄河流域生产空间净减少约4 201 km2，生态空间净减少约1 912 km2，生活空间净增加约6 113 km2，其变化主要表现为农业生产空间向生活空间及工业生产空间转移。(2)黄河流域NPP整体呈缓慢上升趋势，年均增长率约为0.25 g C·m-2·yr-1，增长区域主要分布于中上游生态功能区与重点灌溉农业区。(3)生产空间与生态空间NPP在2000—2010年以上升为主，2010—2020年显著上升范围有所收窄，2020—2025年则趋于稳定；生活空间NPP整体水平较低，且在局部呈现下降趋势。【结论】黄河流域“三生空间”NPP变化以自然条件为主导，同时受到人类活动的显著干扰，且不同功能空间对不同驱动因子的响应程度存在明显差异。
Abstract：【Objective】Based on the production-living-ecological(PLE) space framework, this study aims to reveal the spatiotemporal patterns and driving mechanisms of vegetation net primary productivity(NPP) in the Yellow River Basin, clarify differences in NPP changes and their influencing factors among different functional spaces, and provide a scientific reference for ecological management across different functional spaces in the Yellow River Basin.【Methods】 Based on the PLE functional zoning framework, this study used the CASA model to estimate NPP in the Yellow River Basin from 2000 to 2025. The geographical detector model was then used to analyse the dominant roles and interaction effects of natural and anthropogenic factors on NPP changes within production, living and ecological spaces.【Results】(1)From 2000 to 2025, production space in the Yellow River Basin decreased by approximately 4,201 km2,ecological space decreased by approximately 1,912 km2, and living space increased by approximately 6,113 km2. These changes were mainly characterized by the conversion of agricultural production space into living space and industrial production space.(2)Basin-wide NPP showed a slow upward trend, with an average annual growth rate of approximately0.25 g C·m-2 yr-1. The areas with increased NPP were mainly distributed in the ecological functional zones of the middle and upper reaches and major irrigated agricultural areas.(3)NPP in production and ecological spaces mainly increased during 2000-2010;the extent of significantly increasing areas narrowed during 2010-2020; and NPP tended to stabilize during 2020-2025. In contrast, NPP in living space remained generally low, with localized declines in some areas.【Conclusions】 NPP changes in the PLE spaces of the Yellow River Basin are mainly dominated by natural conditions and are also significantly affected by human activities. Different functional spaces show clear differences in their responses to different driving factors.
[1]赵金彩,潘涛.基于多时间尺度的黄河流域植被NPP时空特征及其对气候变化的响应[J].水土保持研究, 2024,31(4):214-222, 232.[Zhao Jincai, Pan Tao.Spatiotemporal variation of multiple time-scale NPP and its response to climate change in the Yellow River Basin[J].Research of Soil and Water Conservation,2024,31(4):214-222,232.]
[2]王娟,何慧娟,董金芳,等.黄河流域植被净初级生产力时空特征及自然驱动因子[J].中国沙漠, 2021, 41(6):213-222.[Wang Juan, He Huijuan, Dong Jinfang, et al.Spatio-temporal distribution of vegetation net primary productivity in the Yellow River Basin in 2000-2019 and its natural driving factors[J]. Journal of Desert Research,2021,41(6):213-222.]
[3]Wang Yingxuan, Tian Jia, Feng Xuejuan, et al.Analysis of spatio-temporal changes in net primary productivity and their driving factors in ecological functional areas of the Yellow River Basin[J]. Ecological Engineering, 2024, 203:107262.
[4]杨梅焕,陶冰玉,王涛,等.黄土高原植被NEP时空变化及对气温降水和退耕还林(草)的响应[J].水土保持学报,2026,40(2):405-416.[Yang Meihuan,Tao Bingyu,Wang Tao,et al. Spatiotemporal variation of vegetation NEP on loess plateau and its responses to temperature, precipitation,and grain-for-green program[J].Journal of Soil and Water Conservation,2026,40(2):405-416.]
[5]刘杰,汲玉河,周广胜,等.2000—2020年青藏高原植被净初级生产力时空变化及其气候驱动作用[J].应用生态学报, 2022, 33(6):1533-1538.[Liu Jie, Ji Yuhe, Zhou Guangsheng, et al.Temporal and spatial variations of net primary productivity(NPP)and its climate driving effect in the Qinghai-Tibet Plateau, China from 2000 to 2020[J].Chinese Journal of Applied Ecology, 2022, 33(6):1533-1538.]
[6]孔冬艳,陈会广,吴孔森.中国“三生空间”演变特征、生态环境效应及其影响因素[J].自然资源学报,2021,36(5):1116-1135.[Kong Dongyan,Chen Huiguang,Wu Kongsen.The evolution of"Production-Living-Ecological"space, eco-environmental effects and its influencing factors in China[J]. Journal of Natural Resources,2021,36(5):1116-1135.]
[7]刘继来,刘彦随,李裕瑞.中国“三生空间”分类评价与时空格局分析[J].地理学报,2017,72(7):1290-1304.[Liu Jilai,Liu Yansui, Li Yurui. Classification evaluation and spatio-temporal analysis of"production-living-ecological"spaces in China[J]. Acta Geographica Sinica,2017,72(7):1290-1304.]
[8]韩美,孔祥伦,李云龙,等.黄河三角洲“三生”用地转型的生态环境效应及其空间分异机制[J].地理科学,2021,41(6):1009-1018.[Han Mei, Kong Xianglun, Li Yunlong, et al. Eco-environmental effects and its spatial heterogeneity of‘ecological-production-living’ land use transformation in the Yellow River Delta[J]. Scientia Geographica Sinica,2021,41(6):1009-1018.]
[9]MODIS/terra land surface temperature/emissivity 8-day L3global 1 km SIN grid V061 NASA earthdata[EB/OL].[2026-01-12].https://www.earthdata.nasa.gov/data/catalog/l pcloud-mod11a2-061.
[10]MODIS/terra vegetation indices 16-day L3 global 250 m SIN grid V061 NASA earthdata[EB/OL].[2026-01-12].https://www.earthdata.nasa.gov/data/catalog/lpcloud-mod13q1-061.
[11]MODIS/terra+aqua BRDF/albedo albedo daily L3 global-500 m V061 NASA earthdata[EB/OL].[2026-01-12].https://www.earthdata.nasa.gov/data/catalog/lpcloud-mcd43a3-061.
[12]The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes Scientific Data[EB/OL].[2026-01-12]. https://www.nature.com/articles/sdata201566.
[13]徐新良,刘纪远,张树文,等.中国多时期土地利用遥感监测数据集(CNLUCC)[DS/OL].资源环境科学数据注册与出版系统,2018.DOI:10.12078/2018070201.[Xu Xinliang,Liu Jiyuan,Zhang Shuwen,et al. China's Multi-Period Land Use Land Cover Remote Sensing Monitoring Dataset(CNLUCC)[DS/OL].Data Registration and Publishing System of the Resource and Environmental Science Data Center,2018.DOI:10.12078/2018070201.]
[14]Chen Zuoqi,Yu Bailang,Yang Chengshu,et al.An extended time series(2000-2018)of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration[J].Earth System Science Data,2021,13(3):889-906.
[15]黄耀欢,江东,付晶莹.中国公里网格GDP分布数据集[J].地理学报,2014,69(增刊1):45-48.[Huang Yaohuan,Jiang Dong,Fu Jingying.1 km grid GDP data of China(2005,2010)[J].Acta Geographica Sinica,2014,69(S1):45-48.]
[16]Tatem A J. WorldPop, open data for spatial demography[J].Scientific Data,2017,4(1):170004.
[17]王菲.“双碳”目标下黄河流域碳源/碳汇时空分布及碳盈亏分析[C]//中国自然资源学会水资源专业委员会,中国地理学会水文地理专业委员会,中国水利学会水资源专业委员会,等.水科学与智慧水务——第十九届中国水论坛论文集.北京:中国水利水电出版社,2022:342-348.DOI:10.26914/c.cnkihy.2022.092168.[Wang Fei.Spatiotemporal distribution of carbon sources/sinks and carbon surplus-deficit analysis in the Yellow River Basin under the"dual carbon"goals[C]//Water Resources Committee of China Society of Natural Resources,Hydrogeography Committee of Geographical Society of China,Water Resources Committee of Chinese Hydraulic Engineering Society,et al.Water science and smart water affairs:proceedings of the 19th China Water Forum.Beijing:China Water&Power Press,2022:342-348.DOI:10.26914/c.cnkihy.2022.092168.]
[18]刘子华,王海军,曹永强,等.基于可解释性分析的黄河流域生态系统NPP时空异质性研究[J].人民黄河,2025,47(6):103-109.[Liu Zihua, Wang Haijun, Cao Yongqiang, et al. Exploring the spatial-temporal evolution characteristics and driving factors of carbon sequestration in the Yellow River Basin based on explainability[J].Yellow River,2025,47(6):103-109.]
[19]李情情,曹永强,王菲,等.海河流域水-能-碳系统耦合协调发展及驱动因素研究[J].华北水利水电大学学报(自然科学版), 2024, 45(6):20-31, 40.[Li Qingqing, Cao Yongqiang, Wang Fei, et al. Study on the coupling coordination development and driving factors of water-energy-carbon System in the Haihe River Basin[J].Journal of North China University of Water Resources and Electric Power(Natural Science Edition),2024,45(6):20-31,40.]
[20]王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017, 72(1):116-134.[Wang Jinfeng, Xu Chengdong.Geodetector:Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1):116-134.]
[21]Zhou Yanyan, Yue Dongxia, Li Chen, et al. Identifying the spatial drivers of net primary productivity:a case study in the Bailong River Basin, China[J].Global Ecology and Conservation,2021,28:e01685.
[22]Zhou Guangliang, Zhang Di, Zhou Qian, et al. Study on the spatiotemporal evolution characteristics of the“production-living-ecology” space in the Yellow River Basin and its driving factors[J]. Sustainability,2022,14(22):15227.
[23]谢艳玲,夏正清,王涛,等.黄河流域植被NPP时空变化及其对水热条件和退耕还林还草工程实施的响应[J].测绘通报,2023(2):15-20.[Xie Yanling, Xia Zhengqing, Wang Tao, et al. Temporal and spatial variation of vegetation net primary product and its response to hydrothermal conditions and grain for green project in the Yellow River basin[J]. Bulletin of Surveying and Mapping,2023(2):15-20.]
[24]Xuan Wenxi, Rao Liangyi. Spatiotemporal dynamics of net primary productivity and its influencing factors in the middle reaches of the Yellow River from 2000 to2020[J].Frontiers in Plant Science,2023,14:1043807.
[25]Wang Huiliang, He Linpo, Yin Jun, et al. Effects of effective precipitation and accumulated temperature on the terrestrial EVI(enhanced vegetation index)in the Yellow River Basin, China[J].Atmosphere,2022,13(10):1555.
[26]李锋.1998-2020年黄河流域径流与降水演变规律研究[J].科技创新与应用,2022,12(19):91-95.[Li Feng. Study on the evolution law of runoff and precipitation in the Yellow River Basin from 1998 to 2020[J].Technology Innovation and Application,2022,12(19):91-95.]
[27]Gao Mengmeng, Yang Nan, Liu Qiong. What drives vegetation evolution in the middle reaches of the Yellow River Basin, climate change or human activities?[J].Sustainability,2024,16(22):10122.
[28]韩红珠,他志杰,陈晨,等.2001—2022年黄河流域生态区植被净初级生产力时空变化及影响因素分析[J].环境生态学, 2024, 6(10):56-67.[Han Hongzhu, Ta Zhijie, Chen Chen, et al. Analysis on the spatio-temporal variation and influencing factors of net primary productivity of vegetation in the ecological region of the Yellow River basin from 2001 to 2022[J].Environmental Ecology,2024,6(10):56-67.]
基本信息:
中图分类号:TU982.2;X321;Q948
引用信息:
[1]郑恒梁,曹永强,刘子华,等.黄河流域三生空间净初级生产力时空变化与驱动机制研究[J].华北水利水电大学学报(自然科学版)().
基金信息:
国家自然科学基金项目(52579016,52325902,52361145889); 天津市自然科学基金资助项目(24JCQNJC01320)
2026-09-07
2026-09-07
2026-09-07