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Multi-month time-lag effects of regional vegetation responses to precipitation in arid and semi-arid grassland: A case study of Hulunbuir, Inner Mongolia
Natural Resource Modeling ( IF 1.8 ) Pub Date : 2022-03-21 , DOI: 10.1111/nrm.12342 Taosuo Wu 1, 2 , Hongmei Bai 2, 3 , Feng Feng 4 , Qian Lin 5
Natural Resource Modeling ( IF 1.8 ) Pub Date : 2022-03-21 , DOI: 10.1111/nrm.12342 Taosuo Wu 1, 2 , Hongmei Bai 2, 3 , Feng Feng 4 , Qian Lin 5
Affiliation
The 16 years of normalized difference vegetation index (NDVI) and precipitation data are used to analyze the time-lag effects of the growing-season NDVI response to precipitation at regional scales. This study focuses on the arid and semi-arid Hulunbuir grassland dominated by perennials in northeast China. The multi-month time-lag effects are examined using simple statistical approaches, which can detect the two distinct time-lags for four subregions with four major land-cover types. A “positive” time-lag effect of the growing-season NDVI response to precipitation is observed at 1-month (May in the current year) time-lag and 13-month (May in the previous year) time-lag while a “negative” time-lag effect is observed at 9-month (September in the previous year) time-lag. In addition, the prediction results of NDVI based on precipitation indicate that the NDVI prediction model considered the lagged monthly precipitation has good performance. Therefore, revealing the time-lag effects is very important for accurately predicting the growing-season NDVI and evaluating the vegetation dynamics.
更新日期：2022-03-21
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