干旱区研究

干旱区研究 >

2023 , Vol. 40 >Issue 5: 818 - 828

DOI: https://doi.org/10.13866/j.azr.2023.05.14

生态与环境

石羊河流域植被净初级生产力时空变化及驱动因素

  • 任丽雯 ,
  • 王兴涛 ,
  • 刘明春 ,
  • 王大为
展开
  • 1.中国气象局兰州干旱气象研究所，甘肃省干旱气候变化与减灾重点实验室，中国气象局干旱气候变化与减灾重点实验室，甘肃 兰州 730020
    2.武威国家气候观象台，甘肃 武威 733000
    3.西北区域气候中心，甘肃 兰州 730020
任丽雯（1989-），女，工程师，主要从事生态气象监测与分析评估. E-mail: rlw2116@126.com

收稿日期: 2022-07-01

  修回日期: 2022-10-02

  网络出版日期: 2023-05-30

基金资助

干旱气象科学研究基金(IAM201910);甘肃省气象局气象科研项目(Ms2020-14);甘肃省气象局气象科研项目(Zd2021-02);西北干旱与生态环境遥感监测(GHSCXTD-2020-4)

收起

Temporal and Spatial changes and the driving factors of vegetation NPP in Shiyang River Basin

  • Liwen REN ,
  • Xingtao WANG ,
  • Mingchun LIU ,
  • Dawei WANG
Expand
  • 1. Key Laboratory of Arid Climate Change and Disaster Reducing, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, Gansu, China
    2. Wuwei National Climatological Observatory, Wuwei 733000, Gansu, China
    3. Northwest Regional Climate Center, Lanzhou 730020, Gansu, China

Received date: 2022-07-01

  Revised date: 2022-10-02

  Online published: 2023-05-30

Fold

摘要

利用CASA模型（Carnegie-Ames-Stanford Approach）模拟石羊河流域2000—2020年植被净初级生产力（NPP），分析流域NPP的时空变化特征、稳定性和未来变化趋势，并从气候因素、地形因素和人类活动因素3个方面探讨对NPP的变化影响。结果表明：（1）2000—2020年石羊河流域植被NPP多年平均值为291.01 g C·m-2·a-1，呈不显著增加趋势，空间分布呈南高北低的分布格局。（2） 2000年以来植被NPP呈增加趋势的区域占总面积的86.4%，其中极显著增加和显著增加的区域分别占6.7%和10.1%。（3） NPP变化在中等波动以上（变异系数Cv≥0.25）的区域所占比例为50.4%。（4） 从未来变化趋势看，石羊河流域植被NPP恢复的持续性较弱，呈增加并反持续的地区所占比例达到57.1%。（5） 流域的植被NPP变化与气温、降水均成正相关，对气温的响应更为敏感。NPP随海拔高度和坡度增加呈现增大后减小趋势，近年来流域实施的一系列人工造林、退耕还林还草等措施对植被NPP的增加具有明显促进作用。

关键词： 植被净初级生产力; 时空变化; 驱动因素; 石羊河流域

本文引用格式

任丽雯 , 王兴涛 , 刘明春 , 王大为 . 石羊河流域植被净初级生产力时空变化及驱动因素[J]. 干旱区研究, 2023 , 40(5) : 818 -828 . DOI: 10.13866/j.azr.2023.05.14

Abstract

We estimated the vegetation NPP using the CASA model (Carnegie-Ames-Stanford Approach) in the Shiyang River Basin from 2000 to 2020 and analyzed the temporal and spatial variations, stability, and the future change trends of NPP. The influencing factors were also studied from three aspects, namely climate factors, topographic factors, and human activities. The results showed the following: (1) The average vegetation NPP in Shiyang River from 2000 to 2020 was 291.01 g C·m-2·a-1 and the increase was insignificant. The spatial distribution of vegetation NPP was generally high in the south and low in the north. (2) The proportion of the area of vegetation NPP increased by 86.4% since 2000. The proportions which were extremely significant increased significantly increased were 6.7% and 10.1%, respectively. (3) The proportion of the area where the change in vegetation NPP was moderately above a fluctuation degree [coefficient of variation (Cv)≥0.25] was 50.4%. (4) The future change trend indicated that the ability for vegetation NPP to continuously improve was weak, and the proportion of the area where the vegetation NPP had increased but could be reversed in the future was 57.1%. (5) The vegetation NPP was positively correlated with temperature and precipitation, but it was more sensitive to temperature. With increasing elevation and slope, the vegetation NPP first increased and then decreased. Artificial afforestation and returning farmland to forest and grassland significantly improved the vegetation NPP in recent years.

Key words： vegetation net primary productivity; temporal and spatial change; driving factors; Shiyang River Basin

参考文献

[1] Lieth H. Primary production: Terrestrial ecosystems[J]. Human Ecology, 1973, 1(4): 303-332.
[2] 朱文泉, 潘耀忠, 龙中华, 等. 基于GIS和RS的区域陆地植被NPP估算: 以中国内蒙古为例[J]. 遥感学报, 2005, 9(3): 300-307.
[2] [Zhu Wenquan, Pan Yaozhong, Long Zhonghua, et al. Estimating net primary productivity of terrestrial vegetation based on GIS and RS: A case study in Inner Mongolia, China[J]. Journal of Remote Sensing, 2005, 9(3): 300-307. ]
[3] Hansen M H, Hahn J T. Computer corner: Database management provides easy access to forest inventory data[J]. Northern Journal of Applied Forestry, 1988: 5(1): 8-11.
[4] Lieth H, Whittaker R H. Primary productivity of the biosphere[J]. Kew Bulletin, 1975, 32(1): 274.
[5] Uchijima Z, Seino H. Agroclimatic evaluation of net primary productivity of natural vegetations[J]. Journal of Agricultural Meteorology, 1985, 40(4): 343-352.
[6] Running S W, Coughlan J C. A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes[J]. Ecological Modelling, 1988, 42(2): 125-154.
[7] Running S W, Nemani R R. Relating seasonal patterns of the AVHRR vegetation index to simulated photo-synthesis and transpiration of forests in different climates[J]. Remote Sensing of Environment, 1988, 24(2): 347-367.
[8] Melillo J M, Mcguire A D, Kicklighter D W, et al. Global climate change and terrestrial net primary production[J]. Nature, 1993, 363(6426): 234-240.
[9] Running S W. Testing FOREST-BGC ecosystem process simulations across a climatic gradient in Oregon[J]. Ecological Applications, 1994, 4(2): 238-247.
[10] Monteith J L. Solar radiation and productivity in tropical ecosystems[J]. Journal of Applied Ecology, 1972, 9(3): 747-766.
[11] Potter C S, Randerson J, Field C B, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data[J]. Global Biogeochemical Cycles, 1993, 7(4): 811-841.
[12] 孙成明, 孙政国, 刘涛, 等. 基于 MODIS 的中国草地NPP综合估算模型[J]. 生态学报, 2015, 35(4): 1079-1085.
[12] [Sun Chengming, Sun Zhenguo, Liu Tao, et al. Comprehensive estimation model of grassland NPP based on MODIS in China[J]. Acta Ecologica Sinica, 2015, 35(4): 1079-1085. ]
[13] 刘刚, 孙睿, 肖志强, 等. 2001—2014 年中国植被净初级生产力时空变化及其与气象因素的关系[J]. 生态学报, 2017, 37(15): 4936-4945.
[13] [Liu Gang, Sun Rui, Xiao Zhiqiang, et al. Analysis of spatial and temporal variation of net primary productivity and climate controls in China from 2001 to 2014[J]. Acta Ecologica Sinica, 2017, 37(15): 4936-4945. ]
[14] 朱玉果, 杜灵通, 谢应忠, 等. 2000—2015 年宁夏草地净初级生产力时空特征及其气候响应[J]. 生态学报, 2019, 39(2): 518-529.
[14] [Zhu Yuguo, Du Lingtong, Xie Yingzhong, et al. Spatiotemporal characteristics of grassland net primary production in Ningxia Province from 2000 to 2015 and its response to climate change[J]. Acta Ecologica Sinica, 2019, 39(2): 518-529. ]
[15] 杨晗, 周伟, 石佩琪, 等. 内蒙古草地NPP时空变化格局及其与水热因子耦合关系[J]. 水土保持研究, 2019, 26(2): 234-240.
[15] [Yang Han, Zhou Wei, Shi Peiqi, et al. Analysis of temporal-spatial variations of NPP and coupling relationship with hydrothermal factors in grasslands of Inner Mongolia[J]. Research of Soil and Water Conservation, 2019, 26(2): 234-240. ]
[16] 杨丹, 王晓峰. 黄土高原气候和人类活动对植被NPP变化的影响[J]. 干旱区研究, 2022, 39(2): 584-593.
[16] [Yang Dan, Wang Xiaofeng. Contribution of climatic change and human activities to changes in net primary productivity in the Loess Plateau[J]. Arid Zone Research, 2022, 39(2): 584-593. ]
[17] 周刊社, 杜军, 沈旭, 等. 气候变化背景下羌塘国家自然保护区植被净初级生产力时空变化[J]. 中国农业气象, 2021, 42(8): 627-641.
[17] [Zhou Kanshe, Du Jun, Shen Xu, et al. Spatial and temporal variability of vegetation net primary productivity in Qiangtang National Nature Reserve under climate change[J]. Chinese Journal of Agrometeorology, 2021, 42(8): 627-641. ]
[18] 张赟鑫, 郝海超, 范连连, 等. 中亚草地NPP时空动态及其驱动因素研究[J]. 干旱区研究, 2022, 39(3): 698-707.
[18] [Zhang Yunxin, Hao Haichao, Fan Lianlian, et al. Study on spatio-temporal dynamics and driving factors of NPP in Central Asian grassland[J]. Arid Zone Research, 2022, 39(3): 698-707. ]
[19] 冯婉, 谢世友. 长江流域片2000—2015年植被NPP时空特征及影响因子探测[J]. 水土保持研究, 2022, 29(1): 176-183.
[19] [Feng Wan, Xie Shiyou. Spatiotemporal characteristics and influencing factors of vegetation NPP in the Yangtze river basin from 2000 to 2015[J]. Research of Soil and Water Conservation, 2022, 29(1): 176-183. ]
[20] 茆杨, 蒋勇军, 张彩云, 等. 近20年来西南地区植被净初级生产力时空变化与影响因素及其对生态工程响应[J]. 生态学报, 2022, 42(7): 2878-2890.
[20] [Mao Yang, Jiang Yongjun, Zhang Caiyun, et al. Spatio-temporal changes and influencing factors of vegetation net primary productivity in Southwest China in the past 20 years and its response to ecological engineering[J]. Acta Ecologica Sinica, 2022, 42(7): 2878-2890. ]
[21] Erb K H, Fetzel T, Plutzar C, et al. Biomass turnover time in terrestrial ecosystems halved by land use[J]. Nature Geoscience, 2016, 9(9): 674-678.
[22] Gang C, Zhou W, Wang Z, et al. Comparative assessment of grassland NPP dynamics in response to climate change in China, North America, Europe and Australia from 1981 to 2010[J]. Journal of Agronomy & Crop Science, 2015, 201(1): 57-68.
[23] 张雪蕾, 王义成, 肖伟华, 等. 石羊河流域NPP对气候变化的响应[J]. 生态学杂志, 2018, 37(10): 3110-3118.
[23] [Zhang Xuelei, Wang Yicheng, Xiao Weihua, et al. Responses of net primary productivity of natural vegetation to climate change in the Shiyang river basin[J]. Chinese Journal of Ecology, 2018, 37(10): 3110-3118. ]
[24] 李小琴, 冉宸, 张晓霞, 等. 近60 a石羊河流域蒸发量变化及其原因分析[J]. 干旱区研究, 2022, 39(3): 745-753.
[24] [Li Xiaoqin, Ran Chen, Zhang Xiaoxia, et al. Analysis of change and causes of evaporation for the Shiyang River Basin during the past 60 years[J]. Arid Zone Research, 2022, 39(3): 745-753. ]
[25] Potter C, Klooster S, Mynei R, et al. Continental-scale comparisons of terrestrial carbon sinks estimated from satellite data and ecosystem modeling 1982-1998[J]. Global and Planetary Change, 2003, 39(3-4): 201-213.
[26] 朱文泉, 潘耀忠, 张锦水. 中国陆地植被净初级生产力遥感估算[J]. 植物生态学报, 2007, 31(3): 413-424.
[26] [Zhu Wenquan, Pan Yaozhong, Zhang Jinshui. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing[J]. Chinese Journal of Plant Ecology, 2007, 31(3): 413-424. ]
[27] 温晓金, 刘焱序, 杨新军. 恢复力视角下生态型城市植被恢复空间分异及其影响因素——以陕南商洛市为例[J]. 生态学报, 2015, 35(13): 4377-4389.
[27] [Wen Xiaojin, Liu Yanxu, Yang Xinjun. A resilience-based analysis on the spatial heterogeneity of vegetation restoration and its affecting factors in the construction of eco-cities: A case study of Shangluo, Shanxi[J]. Acta Ecologica Sinica, 2015, 35(13): 4377-4389. ]
[28] 贾俊鹤, 刘会玉, 林振山. 中国西北地区植被 NPP 多时间尺度变化及其对气候变化的响应[J]. 生态学报, 2019, 39(14): 5058-5069.
[28] [Jia Junhe, Liu Huiyu, Lin Zhenshan. Multi-time scale changes of vegetation NPP in six provinces of Northwest China and their responses to climate change[J]. Acta Ecologica Sinica, 2019, 39(14): 5058-5069.
[29] Desta H, Lemma B, Fetene A. Aspects of climate change and its associated impacts on wetland ecosystem functions: A review[J]. Journal of American Science, 2012, 8(10): 582-596.
[30] Niu Z G, Zhang H Y, Wang X W, et al. Mapping wetland changes in China between 1978 and 2008[J]. Chinese Science Bulletin, 2012, 57(22): 2813-2823.
[31] 李传华, 赵军. 2000-2010年石羊河流域 NPP 时空变化及驱动因子[J]. 生态学杂志, 2013, 32(3): 712-718.
[31] [Li Chuanhua, Zhao Jun. Spatiotemporal variations of vegetation NPP and related driving factors in Shiyang River Basin of Northwest China in 2000-2010[J]. Chinese Journal of Ecology, 2013, 32(3): 712-718. ]
[32] 李传华, 朱同斌, 周敏, 等. 河西走廊植被净初级生产力时空变化及其影响因子研究[J]. 生态学报, 2021, 41(5): 1931-1943.
[32] [Li Chuanhua, Zhu Tongbin, Zhou Min, et al. Temporal and spatial change of net primary productivity of vegetation and its determinants in Hexi Corridor[J]. Acta Ecologica Sinica, 2021, 41(5): 1931-1943. ]
[33] 同琳静, 刘洋洋, 王倩, 等. 西北植被净初级生产力时空变化及其驱动因素[J]. 水土保持研究, 2019, 26(4): 367-374.
[33] [Tong Linjing, Liu Yangyang, Wang Qian, et al. Spatial and temporal dynamics of net primary productivity and its driving factors in Northwest China[J]. Research of Soil and Water Conservation, 2019, 26(4): 367-374. ]
[34] Chen C, Park T, Wang X H, et al. China and India lead in greening of the world through land-use management[J]. Nature Sustainability, 2019, 2(2): 122-129.
[35] Chen Y Z, Chen L Y, Cheng Y, et al. Afforestation promotes the enhancement of forest LAI and NPP in China[J]. Forest Ecology and Management, 2020, 462: 117990.
[36] Zhou W, Gang C C, Zhou F C, et al. Quantitative assessment of the individual contribution of climate and human factors to desertification in Northwest China using net primary productivity as an indicator[J]. Ecological Indicators, 2015, 48: 560-569.
[37] 王玉纯, 赵军, 付杰文. 退耕还林还草工程对干旱区内陆河流域生态系统服务的影响[J]. 生态科学, 2021, 40(6): 56-66.
[37] [Wang Yuchun, Zhao Jun, Fu Jiewen. Effects of the grain for green program on the ecosystem services of inland river basin in arid area[J]. Ecological Science, 2021, 40(6): 56-66. ]
[38] 徐晓宇, 郭萍, 张帆, 等. 政策驱动下石羊河流域生态效应变化分析[J]. 水土保持学报, 2020, 34(6): 185-191.
[38] [Xu Xiaoyu, Guo Ping, Zhang Fan, et al. Analysis for changing ecological effects under policy-driven in Shiyang river basin[J]. Journal of Soil and Water Conservation, 2020, 34(6): 185-191. ]
[39] Michaletz S, Cheng D, Kerkhoff A, et al. Convergence of terrestrial plant production across global climate gradients[J]. Nature, 2014, 512: 39-43.
[40] Chen Y N, Li Z, Fan Y T, et al. Progress and prospects of climate change impacts on hydrology in the arid region of northwest China[J]. Environmental Research, 2015, 139: 11-19.
[41] 张钦, 赵雪雁, 王亚茹, 等. 气候变化对石羊河流域农户生计资本的影响[J]. 中国沙漠, 2016, 36(3): 814-822.
[41] [Zhang Qin, Zhao Xueyan, Wang Yaru, et al. Impacts of climate change on farmers livelihood capital in the Shiyanghe River Basin of China[J]. Journal of Desert Research, 2016, 36(3): 814-822. ]
[42] 赵福年, 王莺, 张龙. 1960—2009年石羊河流域气候变化特征[J]. 气象与环境学报, 2014, 30(5): 131-140.
[42] [Zhao Funian, Wang Ying, Zhang Long. Climate change characteristics from 1960 to 2009 in Shiyang River Basin[J]. Journal of Meteorology and Environment, 2014, 30(5): 131-140. ]
[43] 杨雪梅. 气候变暖背景下河西地区荒漠植被变化研究(1982—2013)[D]. 兰州: 兰州大学, 2015.
[43] [Yang Xuemei. Spatial-temporal Variation of Desert Vegetation and Its Response to Climate Change in Hexi Area During 1982-2013[D]. Lanzhou: Lanzhou University, 2015. ]
[44] Guo R, Wang X K, Ouyang Z Y, et al. Spatial and temporal relationships between precipitation and ANPP of four types of grasslands in northern China[J]. Journal of Environmental Sciences, 2006, 18(5): 1024-1030.
[45] 曹红娟. 基于随机森林的河西走廊植被净初级生产力估算及其时空演变[D]. 兰州: 西北师范大学, 2019.
[45] [Cao Hongjuan. Estimation and Spatio-temporal Changes in Net Primary Productivity using Random Forest in the Hexi Corridor[D]. Lanzhou: Northwest Normal University, 2019. ]
[46] 张立峰. 西北生态环境脆弱区典型内陆河流域植被覆盖变化及其影响因素研究[D]. 兰州: 兰州交通大学, 2017.
[46] [Zhang Lifeng. On Vegetation Cover Change and Its Influencing Factors in Typical Inland River Basins of Northwest Ecological Environment Fragile Regions[D]. Lanzhou: Lanzhou Transportation University, 2017. ]
[47] Zhou Y L, Xing B L, Ju W M. Assessing the impact of urban sprawl on net primary productivity of terrestrial ecosystems using a process-based model: A case study in Nanjing, China[J]. Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2017, 8(5): 2318-2331.
[48] 成方妍, 刘世梁, 张月秋, 等. 基于 MODIS 序列的北京市土地利用变化对净初级生产力的影响[J]. 生态学报, 2017, 37(18): 5924-5934.
[48] [Cheng Fangyan, Liu Shiliang, Zhang Yueqiu, et al. Effects of land-use change on net primary productivity in Beijing based on the MODIS series[J]. Acta Ecological Sinica, 2017, 37(18): 5924-5934. ]
Options
文章导航

/

〈 〉