文献类型：期刊文献

英文题名：Temporal Pattern Analysis of Cropland Phenology in Shandong Province of China Based on Two Long-Sequence Remote Sensing Data

作者：Ren, Shilong[1];An, Shuai[2]

第一作者：Ren, Shilong

通讯作者：Ren, SL[1]

机构：[1]Shandong Univ, Environm Res Inst, Qingdao 266237, Peoples R China;[2]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China

第一机构：Shandong Univ, Environm Res Inst, Qingdao 266237, Peoples R China

通讯机构：[1]corresponding author), Shandong Univ, Environm Res Inst, Qingdao 266237, Peoples R China.

年份：2021

卷号：13

期号：20

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20214311048761);Scopus(收录号：2-s2.0-85117329271);WOS:【SCI-EXPANDED(收录号:WOS:000713452700001)】；

基金：FundingThis work was supported by the Shandong Provincial Natural Science Foundation (No. ZR2020QD001) of China.

语种：英文

外文关键词：vegetation phenology; variation trend; cropland; Global Inventory Modeling and Mapping Studies; Vegetation Index and Phenology

摘要：Vegetation phenology dynamics have attracted worldwide attention due to its direct response to global climate change and the great influence on terrestrial carbon budgets and ecosystem productivity in the past several decades. However, most studies have focused on phenology investigation on natural vegetation, and only a few have explored phenology variation of cropland. In this study, taking the typical cropland in the Shandong province of China as the target, we analyzed the temporal pattern of the Normalized Difference Vegetation Index (NDVI) and phenology metrics (growing season start (SOS) and end (EOS)) derived from the Global Inventory Monitoring and Modeling System (GIMMS) 3-generation version 1 (1982-2015) and the Vegetation Index and Phenology (VIP) version 4 (1981-2016), and then investigated the influence of climate factors and Net Primary Production (NPP, only for EOS) on SOS/EOS. Results show a consistent seasonal profile and interannual variation trend of NDVI for the two products. Annual average NDVI has significantly increased since 1980s, and hugely augmentations of NDVI were detected from March to June for both NDVI products (p < 0.01), which indicates a consistent greening tendency of the study region. SOSs from both products are correlated well with the ground-observed wheat elongation and spike date and have significantly advanced since the 1980s, with almost the same changing rate (0.65/0.64 days yr-1, p < 0.01). EOS also exhibits an earlier but weak advancing trend. Due to the significant advance of SOS, the growing season duration has significantly lengthened. Spring precipitation has a relatively stronger influence on SOS than temperature and shortwave radiation, while a greater correlation coefficient was diagnosed between EOS and autumn temperature/shortwave radiation than precipitation/NDVI. Autumn NPP exhibits a nonlinear effect on EOS, which is first earlier and then later with the increase of autumn NPP. Overall, we highlight the similar capacity of the two NDVI products in characterizing the temporal patterns of cropland phenology.