«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:

第45卷

期数:

2023年第04期

页码:

907-919

栏目:

环境与可持续发展专刊

出版日期:

2023-07-15

文章信息/Info

Title:

Spatio-temporal Variation of Vegetation Leaf Area Index and Its Influencing Factors in Guangdong Province, China

文章编号:

1672-6561(2023)04-0907-13

作者:

毛智慧¹; 2; 黎丽莉¹; 2*; 程 露¹; 2; 杜建军¹; 2

(1. 仲恺农业工程学院 资源与环境学院,广东 广州 510225; 2. 仲恺农业工程学院 广东省农业产地环境污染防控工程技术研究中心,广东 广州 510225)

Author(s):

MAO Zhi-hui¹; 2;  LI Li-li¹; 2*;  CHENG Lu¹; 2;  DU Jian-jun¹; 2

(1. College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, China; 2. Guangdong Provincial Engineering and Technology Research Center for Agricultural Land Pollution Prevention and Control, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, China)

关键词:

叶面积指数;  Theil-Sen Median趋势分析;  Mann-Kendall显著性检验;  Hurst指数;  地理探测器;  交互作用;  时空变化;  广东

Keywords:

LAI;  Theil-Sen Median trend analysis;  Mann-Kendall significance test;  Hurst index;  geographic detector;  interaction;  spatio-temporal variation;  Guangdong

分类号:

X87; TP79

DOI:

-

文献标志码:

A

摘要:

植被变化是评价生态环境和衡量地表植被状况的重要指标之一,探讨植被的时空动态变化特征及其影响因素对生态环境的保护及植被的恢复建设具有重要意义。基于MODIS 叶面积指数(LAI)卫星遥感产品、气象数据和社会经济数据,运用Theil-Sen Median趋势分析、Mann-Kendall显著性检验、Hurst指数分析和地理探测器等方法,探究了广东省2003～2020年叶面积指数的时空变化特征及其影响因素。结果表明:2003～2020年,广东省叶面积指数年际变化呈现为波动上升趋势(增长率为0.219/10a),叶面积指数季节均值的增长率从大到小依次为冬季(0.405/10a)、春季(0.251/10a)、秋季(0.139/10a)和夏季(0.111/10a); 在空间上,叶面积指数表现为西北高、东南低的特征, 低值区主要集中在珠江三角洲地区和沿海经济区; 叶面积指数未来变化趋势以弱反持续性和弱持续性为主,持续改善区域的面积远远大于持续退化区域的面积,说明广东省植被覆盖未来改善的可能性较大; 叶面积指数主要影响因素为高程、人口密度和GDP,其中高程的影响最为显著,对叶面积指数空间分异的解释力为16.9%,且双因素的交互作用能增强对叶面积指数空间分异的解释力。

Abstract:

Vegetation variation is one of important indicators to evaluate the quality of ecological environment and measure the status of surface vegetation. Exploring the spatio-temporal dynamic variation of vegetation and its influencing factors is of great significance for the protection of ecological environment and the restoration of vegetation. Based on MODIS LAI satellite remote sensing products, meteorological data and socio-economic data, the spatial-temporal variation of LAI and its influencing factors in Guangdong province from 2003 to 2020 were explored through Theil-Sen Median trend analysis, Mann-Kendall significance test, Hurst index analysis and geographic detector. The results show that the variation of LAI annual mean exhibits a fluctuating upward trend(0.219/10a)from 2003 to 2020, and the LAI seasonal average in the descending order are winter(0.405/10a), spring(0.251/10a), autumn(0.139/10a)and summer(0.111/10a); spatially, high values of LAI are distributed in the northwest, while low values are distributed in the southeast, mainly in the Pearl River Delta and coastal economic zone. LAI showes a weakly sustainable and weakly anti-sustainable trend in the future. Moreover, the area with sustainability and improvement is larger than the area showing stability and degradation, indicating the strong possibility of improvement for vegetation in Guangdong province in the future. The main influencing factors of LAI in Guangdong province are elevation, population density and GDP, of which elevation has the most impact with an explanatory power of 16.9% for LAI spatial distribution. Moreover, the interaction of two factors could enhance the explanatory power of LAI spatial distribution in Guangdong province.

参考文献/References:

[1] SMITH A M S,KOLDEN C A,TINKHAM W T,et al.Remote Sensing the Vulnerability of Vegetation in Natural Terrestrial Ecosystems[J].Remote Sensing of Environment,2014,154:322-337.
[2] 李登科,王 钊.气候变化和人类活动对陕西省植被NPP影响的定量分析[J].生态环境学报,2022,31(6):1071-1079.
LI Deng-ke,WANG Zhao.Quantitative Analysis of the Impact of Climate Change and Human Activities on Vegetation NPP in Shaanxi Province[J].Ecology and Environmental Sciences,2022,31(6):1071-1079.
[3] NOLASCO M,OVANDO G,SAYAGO S,et al.Estimating Soybean Yield Using Time Series of Anomalies in Vegetation Indices from MODIS[J].International Journal of Remote Sensing,2021,42(2):405-421.
[4] SHARMA M,BANGOTRA P,GAUTAM A S,et al.Sensitivity of Normalized Difference Vegetation Index(NDVI)to Land Surface Temperature,Soil Moisture and Precipitation over District Gautam Buddh Nagar,UP,India[J].Stochastic Environmental Research and Risk Assessment,2022,36(6):1779-1789.
[5] 解 晗,同小娟,李 俊,等.2000～2018年黄河流域生长季植被指数变化及其对气候因子的响应[J].生态学报,2022,42(11):4536-4549.
XIE Han,TONG Xiao-juan,LI Jun,et al.Changes of NDVI and EVI and Their Responses to Climatic Variables in the Yellow River Basin During the Growing Season of 2000-2018[J].Acta Ecologica Sinica,2022,42(11):4536-4549.
[6] 邱思静,胡 涛,胡熠娜,等.从光谱指数到融合数据集的全球植被遥感数据产品[J].地理学报,2022,77(5):1102-1119.
QIU Si-jing,HU Tao,HU Yi-na,et al.Remote Sensing Based Global Vegetation Products:From Vegetation Spectral Index to Fusion Datasets[J].Acta Geographica Sinica,2022,77(5):1102-1119.
[7] 刘 洋,刘荣高,陈镜明,等.叶面积指数遥感反演研究进展与展望[J].地球信息科学学报,2013,15(5):734-743.
LIU Yang,LIU Rong-gao,CHEN Jing-ming,et al.Current Status and Perspectives of Leaf Area Index Retrieval from Optical Remote Sensing Data[J].Journal of Geo-information Science,2013,15(5):734-743.
[8] PARKER G G.Tamm Review:Leaf Area Index(LAI)Is Both a Determinant and a Consequence of Important Processes in Vegetation Canopies[J].Forest Eco-logy and Management,2020,477:118496.
[9] 曹中盛,李艳大,黄俊宝,等.基于无人机数码影像的水稻叶面积指数监测[J].中国水稻科学,2022,36(3):308-317.
CAO Zhong-sheng,LI Yan-da,HUANG Jun-bao,et al.Monitoring Rice Leaf Area Index Based on Unmanned Aerial Vehicle(UAV)Digital Images[J].Chinese Journal of Rice Science,2022,36(3):308-317.
[10] ZHENG G,MOSKAL L M.Retrieving Leaf Area Index(LAI)Using Remote Sensing:Theories,Methods and Sensors[J].Sensors,2009,9(4):2719-2745.
[11] CLAUDIA G S,ALEXANDRA W,RAPHAEL P,et al.Biodiversity Facets Affect Community Surface Temperature via 3D Canopy Structure in Grassland Communities[J].Journal of Ecology,2021,109(5):1969-1985.
[12] 王全九,王 康,苏李君,等.灌溉施氮和种植密度对棉花叶面积指数与产量的影响[J].农业机械学报,2021,52(12):300-312.
WANG Quan-jiu,WANG Kang,SU Li-jun,et al.Effect of Irrigation Amount,Nitrogen Application Rate and Planting Density on Cotton Leaf Area Index and Yield[J].Transactions of the Chinese Society for Agricultural Machinery,2021,52(12):300-312.
[13] KANNING M,KUHLING I,TRAUTZ D,et al.Hi-gh-resolution UAV-based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction[J].Remote Sensing,2018,10(12):2000.
[14] PAUL M,RAJIB A,NEGAHBAN A M,et al.Impro-ved Agricultural Water Management in Data-scarce Semi-arid Watersheds:Value of Integrating Remotely Sensed Leaf Area Index in Hydrological Modeling[J].Science of the Total Environment,2021,791:148177.
[15] MANUEL C T,FRANCISCO JAVIER G H,GUSTAU C V,et al.Multitemporal and Multiresolution Leaf Area Index Retrieval for Operational Local Rice Crop Monitoring[J].Remote Sensing of Environment,2016,187:102-118.
[16] 季 杨,蒋金豹.长三角城市群城市扩张区环境质量变化遥感评价[J].遥感技术与应用,2021,36(5):1131-1146.
JI Yang,JIANG Jin-bao.Remote Sensing Analysis of Environmental Change in Urban Expansion Area of Yangtze River Delta Urban Agglomeration[J].Remo-te Sensing Technology and Application,2021,36(5):1131-1146.
[17] 戴声佩,罗红霞,郑 倩,等.基于MODIS LAI产品的海南岛橡胶林叶面积指数时空变化特征及其影响因素分析[J].中国农业信息,2021,33(2):1-12.
DAI Sheng-pei,LUO Hong-xia,ZHENG Qian,et al.Spatio-temporal Changes and Its Driving Factors of Leaf Area Index of Rubber Plantations in Hainan Island Based on MODIS LAI Data[J].China Agricultural Informatics,2021,33(2):1-12.
[18] 吕泳洁,丁文广,邓 喆,等.基于地理探测器的甘肃省植被覆盖时空变化及驱动力分析[J].地球环境学报,2022,13(2):185-195.
LYU Yong-jie,DING Wen-guang,DENG Zhe,et al.Spatio-temporal Variation of Vegetation Cover and Its Driving Forces in Gansu Province Based on Geodetector[J].Journal of Earth Environment,2022,13(2):185-195.
[19] MENG X Y,GAO X,LI S Y,et al.Spatial and Temporal Characteristics of Vegetation NDVI Changes and the Driving Forces in Mongolia During 1982-2015[J].Remote Sensing,2020,12(4):603.
[20] ZHAO W,YU X B,JIAO C C,et al.Increased Association Between Climate Change and Vegetation Index Variation Promotes the Coupling of Dominant Factors and Vegetation Growth[J].Science of the Total Environment,2021,767:144669.
[21] SHOBAIRI S O,荣 媛,李明阳,等.广东省植被覆盖度时空变化及驱动因素分析[J].西南林业大学学报(自然科学),2017,37(1):144-148.
SHOBAIRI S O,RONG Yuan,LI Ming-yang,et al.Analysis of Spatial-temporal Dynamics and Driving Factors of Vegetation Fractional Coverage in Guangdong Province[J].Journal of Southwest Forestry University(Natural Sciences),2017,37(1):144-148.
[22] 王 思,张路路,林伟彪,等.基于MODIS-归一化植被指数的广东省植被覆盖与土地利用变化研究[J].生态学报,2022,42(6):2149-2163.
WANG Si,ZHANG Lu-lu,LIN Wei-biao,et al.Study on Vegetation Coverage and Land-use Change of Guangdong Province Based on MODIS-NDVI[J].Acta Ecologica Sinica,2022,42(6):2149-2163.
[23] 徐 勇,吴杰峰,郭振东,等.2001～2019年广东省植被NDVI时空演变特征及持续性分析[J].无线电工程,2021,51(8):691-698.
XU Yong,WU Jie-feng,GUO Zhen-dong,et al.Spatial-temporal Variation of Vegetation NDVI in Guangdong Province from 2001 to 2019[J].Radio Engineering,2021,51(8):691-698.
[24] 邓玉娇,王捷纯,徐 杰,等.广东省NDVI时空变化特征及其对气候因子的响应[J].生态环境学报,2021,30(1):37-43.
DENG Yu-jiao,WANG Jie-chun,XU Jie,et al.Spatio-temporal Variation of NDVI and Its Response to Climatic Factors in Guangdong Province[J].Ecology and Environmental Sciences,2021,30(1):37-43.
[25] 吴国训,阮宏华,李显风,等.基于MODIS反演的2000～2011年江西省植被叶面积指数时空变化特征[J].南京林业大学学报(自然科学版),2013,37(1):11-17.
WU Guo-xun,RUAN Hong-hua,LI Xian-feng,et al.Spatial-temporal Variations of Leaf Area Index(LAI)in Jiangxi Province During 2000-2011 Based on MODIS Data[J].Journal of Nanjing Forestry University(Natural Sciences Edition),2013,37(1):11-17.
[26] REN X Y,ZHANG M K,QIAN J C,et al.Analyzing Spatio-temporal Change in Ecosystem Quality and Its Driving Mechanism in Henan Province,China,from 2010 to 2020[J].Sustainability,2022,14(18):11742.
[27] 广东省统计局,国家统计局广东调查队.2021年广东统计年鉴[M].北京:中国统计出版社,2021.
Statistics Bureau of Guangdong Province,Survery Office of the National Bureau of Statistics in Guangdong.Guangdong Statistical Yearbook of 2021[M].Beijing:China Statistics Press,2021.
[28] 侯吉宇,周艳莲,刘 洋.不同叶面积指数遥感数据模拟中国总初级生产力的时空差异[J].遥感技术与应用,2020,35(5):1015-1027.
HOU Ji-yu,ZHOU Yan-lian,LIU Yang.Spatial and Temporal Differences of GPP Simulated by Different Satellite-derived LAI in China[J].Remote Sensing Technology and Application,2020,35(5):1015-1027.
[29] JIANG W G,YUAN L H,WANG W J,et al.Spatio-temporal Analysis of Vegetation Variation in the Yellow River Basin[J].Ecological Indicators,2015,51:117-126.
[30] 马雄伟,赵庆志,姚顽强.黄土高原植被对气候变化的时滞响应及其时变特征[J].西安科技大学学报,2020,40(1):157-166.
MA Xiong-wei,ZHAO Qing-zhi,YAO Wan-qiang.Time Lags of Vegetation to Climate Change and Temporal Characteristics in Loess Plateau[J].Journal of Xi'an University of Science and Technology,2020,40(1):157-166.
[31] 易 浪,任志远,张 翀,等.黄土高原植被覆盖变化与气候和人类活动的关系[J].资源科学,2014,36(1):166-174.
YI Lang,REN Zhi-yuan,ZHANG Chong,et al.Vegetation Cover,Climate and Human Activities on the Loess Plateau[J].Resources Science,2014,36(1):166-174.
[32] LI S J,WANG J M,ZHANG M,et al.Characterizing and Attributing the Vegetation Coverage Changes in North Shanxi Coal Base of China from 1987 to 2020[J].Resources Policy,2021,74:102331.
[33] 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 Jin-feng,XU Cheng-dong.Geodetector:Prin-ciple and Prospective[J].Acta Geographica Sinica,2017,72(1):116-134.
[34] 姚新宇,袁 飞,张利敏,等.赣江上游区LAI时空变化及其与气候要素的关联性分析[J].水文,2020,40(4):46-52.
YAO Xin-yu,YUAN Fei,ZHANG Li-min,et al.Spatio-temporal Variation of LAI and Its Relationship with Climate Change in the Upper Ganjiang River Region[J].Journal of China Hydrology,2020,40(4):46-52.
[35] 李维娇,王云鹏.基于VCI的2003～2017年广东省干旱时空变化特征分析[J].华南师范大学学报(自然科学版),2020,52(3):85-91.
LI Wei-jiao,WANG Yun-peng.An Analysis of the Spatial-temporal Characteristics of Drought in Guangdong Based on Vegetation Condition Index from 2003 to 2017[J].Journal of South China Normal University(Natural Science Edition),2020,52(3):85-91.
[36] 姜 春,吴志峰,程 炯,等.气候波动和土地覆盖变化对广东省植被净初级生产力的相对影响[J].热带亚热带植物学报,2016,24(4):397-405.
JIANG Chun,WU Zhi-feng,CHENG Jiong,et al.Relative Effects of Climatic Fluctuation and Land Cover Changes on Net Primary Productivity of Vegetation in Guangdong Province[J].Journal of Tropical and Subtropical Botany,2016,24(4):397-405.
[37] 袁丽华,蒋卫国,申文明,等.2000～2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.
YUAN Li-hua,JIANG Wei-guo,SHEN Wen-ming,et al.The Spatio-temporal Variations of Vegetation Cover in the Yellow River Basin from 2000 to 2010[J].Acta Ecologica Sinica,2013,33(24):7798-7806.
[38] 代子俊,赵 霞,李冠稳,等.2000～2015年青海省植被覆盖的时空变化特征[J].西北农林科技大学学报(自然科学版),2018,46(7):54-65.
DAI Zi-jun,ZHAO Xia,LI Guan-wen,et al.Spatial-temporal Variations of Vegetation Coverage in Qinghai from 2000 to 2015[J].Journal of Northwest A&F University(Natural Science Edition),2018,46(7):54-65.
[39] 何全军.基于MODIS数据的珠三角地区NDVI时空变化特征及对气象因素的响应[J].生态环境学报,2019,28(9):1722-1730.
HE Quan-jun.Spatio-temporal Variation of NDVI and Its Response to Meteorological Factors in Pearl River Delta Based on MODIS Data[J].Ecology and Environmental Sciences,2019,28(9):1722-1730.
[40] 陈传国,薛春泉,汪求来,等.基于2017年森林资源连续清查样地的广东省典型植被型植物多样性研究[J].林业与环境科学,2020,36(2):60-65.
CHEN Chuan-guo,XUE Chun-quan,WANG Qiu-lai,et al.Diversity of Typical Vegetation Types in Guang-dong Province Based on Continuous Forest Inventory in 2017[J].Forestry and Environmental Science,2020,36(2):60-65.
[41] 黄 辉,郑昌玲,孟 平,等.2001～2019年太行山南麓栓皮栎人工林叶面积指数与气候因子的关系[J].生态学报,2023,43(4):1646-1654.
HUANG Hui,ZHENG Chang-ling,MENG Ping,et al.Relationship Between Leaf Area Index and Climate Factors in a Quercus Variabilis Plantation at the Sou-thern Foot of Taihang Mountain from 2001 to 2019[J].Acta Ecologica Sinica,2023,43(4):1646-1654.
[42] 李国洋,徐启恒,陈宽文,等.2005～2015年广东省森林生态系统净初级生产力时空变化特征[J].气象科技进展,2020,10(3):62-65,68.
LI Guo-yang,XU Qi-heng,CHEN Kuan-wen,et al.Spatial and Temporal Characteristics of Net Primary Productivity of Forest Ecosystem in Guangdong Pro-vince from 2005 to 2015[J].Advances in Meteorological Science and Technology,2020,10(3):62-65,68.
[43] 刘逸滨,刘宝元,成 城,等.退耕还林草20年来榆林市植被覆盖度时空变化及影响因素分析[J].水土保持学报,2022,36(2):197-208,218.
LIU Yi-bin,LIU Bao-yuan,CHENG Cheng,et al.Spatio-temporal Changes and Influencing Factors of Vegetation Coverage in Yulin City During the Past 20 Years Since the Implementation of the “Grain for Green” Program[J].Journal of Soil and Water Conservation,2022,36(2):197-208,218.
[44] 冯娴慧,曾芝琳,张德顺.基于MODIS NDVI数据的粤港澳大湾区植被覆盖时空演变[J].中国城市林业,2022,20(1):1-6,28.
FENG Xian-hui,ZENG Zhi-lin,ZHANG De-shun.Temporal-spatial Evolution of Vegetation Coverage in Guangdong-Hongkong-Macao Greater Bay Area Ba-sed on MODIS NDVI Data[J].Journal of Chinese Urban Forestry,2022,20(1):1-6,28.
[45] 王晓利.中国沿海极端气候变化及其对NDVI的影响特征研究[D].烟台:中国科学院烟台海岸带研究所,2017.
WANG Xiao-li.Variation of Extreme Climate and Its Impact on NDVI in the Coastal Area of China[D].Yantai:Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,2017.
[46] 阮 柱.基于NDVI重构的广东省NDVI变化及其驱动因素分析[D].广州:中国科学院广州地球化学研究所,2021.
RUAN Zhu.Analysis of Vegetation Changes and Dri-ving Factors in Guangdong Province Based on the Reconstructed NDVI[D].Guangzhou:Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,2021.

相似文献/References:

备注/Memo

备注/Memo:

收稿日期:2022-07-04; 修回日期:2022-11-24投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家自然科学基金项目(42007205); 广东省自然科学基金项目(2022A1515011077)
作者简介:毛智慧(1997-),女,四川乐山人,农学硕士研究生,E-mail:geminimao0522@163.com。
*通讯作者:黎丽莉(1989-),女,湖南岳阳人,副教授,理学博士,E-mail:lilili@gig.ac.cn。

常用功能

更新日期/Last Update: 2023-06-20