Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change

The differences of three key growing season metrics, namely, the start of growing season (SOS), the end of growing season (EOS) and the length of growing season (LOS), derived from ground observations, satellite-derived normalized difference vegetation index (NDVI) data and air temperature were comp...

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Autores principales: Linli Cui, Jun Shi
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/fc7d257d945d46d3a4d7d393dd141c01
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spelling oai:doaj.org-article:fc7d257d945d46d3a4d7d393dd141c012021-12-01T04:33:37ZEvaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change1470-160X10.1016/j.ecolind.2020.107055https://doaj.org/article/fc7d257d945d46d3a4d7d393dd141c012021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309948https://doaj.org/toc/1470-160XThe differences of three key growing season metrics, namely, the start of growing season (SOS), the end of growing season (EOS) and the length of growing season (LOS), derived from ground observations, satellite-derived normalized difference vegetation index (NDVI) data and air temperature were compared, and the spatial distribution and temporal trend of NDVI-based growing season metrics were analyzed in the arid and semi-arid areas of northern China. The results show that the growing season metrics obtained by three methods were quite different. The temperature-based SOS dates were earlier than those observed at the four phenological sites, while the NDVI-based SOS dates were the latest. The EOS (LOS) derived from NDVI and temperature were later (longer) than the observed values. At 240 meteorological stations, temperature-based SOS and EOS dates were generally earlier than the NDVI-based results, leading to longer temperature-based LOS than that derived from NDVI. From 1982 to 2015, the NDVI-based SOS was advanced by 2.3 days per decade, and the NDVI-based EOS was delayed by 9.5 days per decade, causing a prolonged LOS of 11.8 days per decade. Earlier SOS, later EOS and prolonged LOS were significantly appeared at 44.3%, 40.6% and 52.6% of the vegetated area respectively. The significant advanced SOS was concentrated in the central Inner Mongolia, northern Hebei, northern Shanxi and northwestern Xinjiang, while the significant delayed EOS was mainly distributed in the majority of western and northern Xinjiang and northern Inner Mongolia, resulting in the significant prolonged LOS in most of the study area. Each method has its distinct advantages and disadvantages. It is suggested to use high spatial and temporal resolution satellite images and appropriate methods to establish phenological models for different land cover types and to take into account the powerful vegetation indices and key climatic factors such as daytime temperature and precipitation and their interactions, which are of great significance for large-scale and accurate phenological monitoring and assessment.Linli CuiJun ShiElsevierarticleGrowing season metricsComparisonANOVATemperatureTrendNorthern ChinaEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107055- (2021)
institution DOAJ
collection DOAJ
language EN
topic Growing season metrics
Comparison
ANOVA
Temperature
Trend
Northern China
Ecology
QH540-549.5
spellingShingle Growing season metrics
Comparison
ANOVA
Temperature
Trend
Northern China
Ecology
QH540-549.5
Linli Cui
Jun Shi
Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
description The differences of three key growing season metrics, namely, the start of growing season (SOS), the end of growing season (EOS) and the length of growing season (LOS), derived from ground observations, satellite-derived normalized difference vegetation index (NDVI) data and air temperature were compared, and the spatial distribution and temporal trend of NDVI-based growing season metrics were analyzed in the arid and semi-arid areas of northern China. The results show that the growing season metrics obtained by three methods were quite different. The temperature-based SOS dates were earlier than those observed at the four phenological sites, while the NDVI-based SOS dates were the latest. The EOS (LOS) derived from NDVI and temperature were later (longer) than the observed values. At 240 meteorological stations, temperature-based SOS and EOS dates were generally earlier than the NDVI-based results, leading to longer temperature-based LOS than that derived from NDVI. From 1982 to 2015, the NDVI-based SOS was advanced by 2.3 days per decade, and the NDVI-based EOS was delayed by 9.5 days per decade, causing a prolonged LOS of 11.8 days per decade. Earlier SOS, later EOS and prolonged LOS were significantly appeared at 44.3%, 40.6% and 52.6% of the vegetated area respectively. The significant advanced SOS was concentrated in the central Inner Mongolia, northern Hebei, northern Shanxi and northwestern Xinjiang, while the significant delayed EOS was mainly distributed in the majority of western and northern Xinjiang and northern Inner Mongolia, resulting in the significant prolonged LOS in most of the study area. Each method has its distinct advantages and disadvantages. It is suggested to use high spatial and temporal resolution satellite images and appropriate methods to establish phenological models for different land cover types and to take into account the powerful vegetation indices and key climatic factors such as daytime temperature and precipitation and their interactions, which are of great significance for large-scale and accurate phenological monitoring and assessment.
format article
author Linli Cui
Jun Shi
author_facet Linli Cui
Jun Shi
author_sort Linli Cui
title Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
title_short Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
title_full Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
title_fullStr Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
title_full_unstemmed Evaluation and comparison of growing season metrics in arid and semi-arid areas of northern China under climate change
title_sort evaluation and comparison of growing season metrics in arid and semi-arid areas of northern china under climate change
publisher Elsevier
publishDate 2021
url https://doaj.org/article/fc7d257d945d46d3a4d7d393dd141c01
work_keys_str_mv AT linlicui evaluationandcomparisonofgrowingseasonmetricsinaridandsemiaridareasofnorthernchinaunderclimatechange
AT junshi evaluationandcomparisonofgrowingseasonmetricsinaridandsemiaridareasofnorthernchinaunderclimatechange
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