中国北方草地植被物候变化及其对气候变化的响应

doi:10.13287/j.1001-9332.201912.015

应用生态学报 ›› 2019, Vol. 30 ›› Issue (12): 4099-4107.doi: 10.13287/j.1001-9332.201912.015

中国北方草地植被物候变化及其对气候变化的响应

秦格霞¹, 吴静^1*, 李纯斌¹, 秦安宁², 倪璐³, 姚小强¹

¹甘肃农业大学资源与环境学院, 兰州 730070;
²苏州科技大学机械工程学院, 江苏苏州 215000;
³济南市阳光100中学, 济南 250022

收稿日期:2019-03-22 出版日期:2019-12-15 发布日期:2019-12-15
通讯作者: * E-mail: wujing@gsau.edu.cn
作者简介:秦格霞, 女, 1995年生, 硕士研究生. 主要从事农业生态遥感研究. E-mail: 2603246958@qq.com
基金资助:
本文由甘肃农业大学科技创新基金-学科建设基金项目(GAU-XKJS-2018-207)和国家自然科学基金项目(31760693 )资助

Grassland vegetation phenology change and its response to climate changes in North China

QIN Ge-xia¹, WU Jing^1*, LI Chun-bin¹, QIN An-ning², NI Lu³, YAO Xiao-qiang¹

¹College of Resources and Environmental Sciences, Gansu Agricultural University, Lanzhou 730070, China;
²School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou 215000, Jiangsu, China;
³Jinan City Sunshine 100 Middle School, Jinan 250022, China

Received:2019-03-22 Online:2019-12-15 Published:2019-12-15
Contact: * E-mail: wujing@gsau.edu.cn
Supported by:
This work was supported by the Science and Technology Innovation Fund-Discipline Construction Fund Project of Gansu Agricultural University (GAU-XKJS-2018-207) and the National Natural Science Foundation of China (31760693)

摘要/Abstract

摘要： 研究草地物候变化对揭示草地生态系统随全球气候变化的响应机制具有重要的科学意义.本研究基于1983—2015年的GIMMS NDVI 3g、气候和数字高程模型(DEM)数据,采用动态阈值法提取北方草地的物候信息[生长季始期(SOS)、生长季末期(EOS)、生长季长度(LOS)],分析北方草地物候的时空变化及LOS对气候的响应.结果表明: 88.9%的像元SOS发生在3月下旬到5月下旬(日序第90～150天),其中,68.1%的像元表现为提前,速率为-1.5～0 d·(32 a)^-1;79.7%的像元EOS发生在10月上旬到10月下旬(日序第270～300天),其中,70.3％的像元表现为推迟,速率为0～1.5 d·(32 a)^-1;LOS持续在100～140 d,其中,LOS变长的像元占73.7%,速率为0～1.5 d·(32 a)^-1.LOS与气温呈显著正相关(R=0.628),与降水呈弱负相关(R=-0.091),并存在明显的空间差异.以海拔2000 m为分界线,低于2000 m时,LOS与海拔呈弱正相关(R=0.235),高于2000 m时,LOS与海拔呈显著负相关(R=-0.861);海拔高于3000 m时,海拔每升高1000 m, LOS缩短约10 d.

Abstract: Understanding phenological change of grasslands has scientific significance to reveal their responses to global climate change. Based on the data of GIMMS NDVI 3g, climate data from 1983 to 2015 and digital elevation model (DEM), dynamic threshold method was used to extract the phenological information of northern grassland [the start of growth season (SOS), the end of growth season (EOS), and the length of growth season (LOS)]. We analyzed the temporal and spatial variation of phenology of grassland vegetation and the influence of climate on LOS. The results showed that 88.9% of SOS occurred from late March to late May (90-150 d), and 68.1% of pixels were advanced with a rate of -1.5-0 d·(32 a)^-1. 79.7% of EOS occurred from early October to late October (270-300 d), with a delay rate of 0-1.5 d·(32 a)^-1, accounting for 70.3% of the pixel number. LOS lasted for 100-140 days and became longer (73.7%), with a rate of 0-1.5 d·(32 a)^-1. LOS was significantly positively correlated with temperature (R=0.628) and weakly negatively correlated with precipitation (R=-0.091). There was a significant spatial variation. The 2000 m line above sea level was recognized as the demarcation line. LOS had a weak positive correlation with altitude under 2000 m (R=0.235) and a significant negative correlation with altitude above 2000 m (R=-0.861). Above 3000 m altitude, LOS decreased by about 10 d for every 1000 m elevation.

秦格霞, 吴静, 李纯斌, 秦安宁, 倪璐, 姚小强. 中国北方草地植被物候变化及其对气候变化的响应[J]. 应用生态学报, 2019, 30(12): 4099-4107.

QIN Ge-xia, WU Jing, LI Chun-bin, QIN An-ning, NI Lu, YAO Xiao-qiang. Grassland vegetation phenology change and its response to climate changes in North China[J]. Chinese Journal of Applied Ecology, 2019, 30(12): 4099-4107.

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中国北方草地植被物候变化及其对气候变化的响应

Grassland vegetation phenology change and its response to climate changes in North China

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