2000—2017年秦岭山地植被物候变化特征及其南北差异  被引量:19

Variation characteristics and its north-south differences of the vegetation phenology by remote sensing monitoring in the Qinling Mountains during 2000—2017

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作  者:邓晨晖 白红英[3] 马新萍 黄晓月 赵婷[3] DENG Chenhui;BAI Hongying;MA Xinping;HUANG Xiaoyue;ZHAO Ting(College of Resource Environment and Historical Culture,Xianyang Normal University,Xianyang 712000,China;College of Geography and Tourism,Shaanxi Normal University,Xi′an 710119,China;College of Urban and Environmental Science,Northwest University,Xi′an 710127,China)

机构地区:[1]咸阳师范学院资源环境与历史文化学院,咸阳712000 [2]陕西师范大学地理科学与旅游学院,西安710119 [3]西北大学城市与资源环境学院,西安710127

出  处:《生态学报》2021年第3期1068-1080,共13页Acta Ecologica Sinica

基  金:陕西省教育厅专项科研计划项目(19JK0930);中国博士后科学基金面上项目(2019M663922XB)。

摘  要:气候变化背景下开展山地过渡带植被物候变化规律及区域差异研究对于揭示过渡带对气候变化的响应方式具有重要意义。基于2000-2017年MODIS EVI2数据,反演了秦岭山地植被物候参数并建立了遥感物候数据集,分析了近18年来秦岭山地植被物候变化的时空特征及其南北差异。结果表明:(1)秦岭山地植被物候变化表现出明显的地形和气候地域分异规律,尤以高海拔区的变化最为显著,全区GSS(物候始期)主要发生于70-130DOY(Day of Year),83.29%的区域呈提前趋势,提前主要集中在0-5d/10a(44.46%)与5-10d/10a(28.60%);GSE(物候末期)主要发生于270-310DOY,50.17%的区域呈推迟趋势,变化趋势不明显;GSL(生长期)集中在150-210d,65.34%的区域呈延长趋势,延长在0-5d/10a(19.28%)、5-10d/10a(20.71%)及10-15d/10a(14.12%)均有分布。(2)秦岭山地GSS对气候变化的响应程度显著大于GSE,南北坡植被物候变化不仅存在区域差异且存在季节差异,GSS北坡较南坡平均约早6.2d且南坡提前趋势较北坡显著,GSE南坡较北坡平均约晚5.8d且北坡推迟趋势较南坡显著,GSL北坡较南坡约长18.7-23.2d。(3)GSS、GSS及GSS变化表现出显著的海拔敏感性,随着海拔上升,GSS逐渐推迟,GSE逐渐提前,GSL逐渐缩短,三者在海拔≤600m及≥2700m地区随海拔变化的波动幅度较大,南北坡三者随海拔的变化亦存在明显的差异,海拔每上升100m,北坡GSS推迟1.76d,GSE提前0.25d,GSL缩短2.01d;南坡GSS推迟1.50d,GSE提前0.44d,GSL缩短1.94d。(4)不同植被垂直带上GSS、GSE及GSL的变化存在明显差异,尤以≤600m植被带上及高山灌丛草甸带上的差异最为明显,且三者在高山灌丛草甸带的发生时间及时长北坡与南坡发生转换,表现为GSS、GSE、GSL北坡较南坡分别平均早3.5d、晚2.9d、长6.4d。The study on the change law and regional differences of the vegetation phenology in the mountain transitional zone under the influence of global warming is of great significance to reveal how the transition zone responds to climate change. Based on the remote sensing data of the MODIS EVI2, our research focused on remote sensing retrieval of vegetation phenological parameters and created the dataset of the vegetation phenology by remote sensing monitoring in the Qinling Mountains from 2000 to 2017. We further analyzed the changing characteristics of the spatiotemporal pattern and its north-south differences of the vegetation phenology in the past 18 years. The following results were obtained in this study.(1) The change in vegetation phenology in the Qinling Mountains showed obvious topographic and climatic regional differentiation rules, especially in the high-altitude area. The growing season start(GSS) of the whole region mainly occurred on the 70 th-130 th day of year(DOY), 83.29% of the regions showed an advance trend, mainly concentrated in advance at 0-5 d/10 a(44.46%) and 5-10 d/10 a(28.60%). The growing season end(GSE) mainly occurred on the 270 th-310 th DOY, and the changing trend was not obvious, 50.17% of the regions were delayed. The growing season length(GSL) was concentrated within 150-210 days, 65.34% of the regions showed an extended trend, the extension is scattered in 0-5 d/10 a(19.28%), 5-10 d/10 a(20.71%) and 10-15 d/10 a(14.12%).(2) The GSS response to climate change was significantly greater than that of the GSE, and there were not only regional differences but also seasonal differences in the Northern-Southern slopes in the Qinling Mountains. The GSS in the northern slope was approximately 6.2 days earlier than the southern slope on average and the southern slope had a more significant advance trend. The GSE in the southern slope was approximately 5.8 days later than the northern slope on average and the delay trend of GSE in the northern slope was more significant. The GSL extended with

关 键 词:遥感物候 海拔敏感性 南北差异 植被垂直带 秦岭山地 

分 类 号:Q948.112[生物学—植物学]

 

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