Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020

Grassland ecosystems are a significant part of the global ecosystem and support the livelihoods of millions of people. The Inner Mongolia grassland is the largest temperate grassland in the world, and an important ecological barrier for China, but due to human activities and climate change it has be...

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Autores principales:	Renjie Ji, Kun Tan, Xue Wang, Chen Pan, Liang Xin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	net primary production LUCC remote sensing CASA Google Earth Engine Inner Mongolia Science Q
Acceso en línea:	https://doaj.org/article/97cf9f38c6c4429ab89dc36e14375034
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id	oai:doaj.org-article:97cf9f38c6c4429ab89dc36e14375034
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spelling	oai:doaj.org-article:97cf9f38c6c4429ab89dc36e143750342021-11-11T18:59:08ZSpatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 202010.3390/rs132144802072-4292https://doaj.org/article/97cf9f38c6c4429ab89dc36e143750342021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4480https://doaj.org/toc/2072-4292Grassland ecosystems are a significant part of the global ecosystem and support the livelihoods of millions of people. The Inner Mongolia grassland is the largest temperate grassland in the world, and an important ecological barrier for China, but due to human activities and climate change it has been faced with an ecological crisis in recent years. In this study, a modified Carnegie-Ames-Stanford approach (CASA) model based on the Google Earth Engine platform was used to determine the net primary production (NPP) in the Inner Mongolia grassland from 2000 to 2020. The results show that the average annual NPP of the Inner Mongolia grassland is 278.63 g C/m<sup>2</sup>, and 83.22% of the total area has shown an increasing trend during the study period. We also analyzed the impact of land-use/cover change (LUCC) and climatic factors on NPP. We found that: (1) the total area of grassland increased from 2000 to 2010 and then decreased from 2010 to 2020. During the whole study period, although the grassland area increased slightly by 4728.69 km<sup>2</sup> because of LUCC, the overall effect of LUCC on grassland NPP was negative, with a loss of 17.63 Tg C compared to an increase of 16.38 Tg C. (2) The main meteorological factor affecting the NPP of the Inner Mongolia grassland is precipitation, followed by sunshine duration and temperature. About 97.06% of the grassland shows a positive correlation between NPP and precipitation. (3) The results for NPP and its changing trends are not completely consistent in the long- and short-term study periods. Considering the instability of grassland growth, it is necessary to take the periodic variation of precipitation into account when studying NPP. These results could provide basic information for policy formulation and scientific research into the ecological environment management of grassland areas in the future.Renjie JiKun TanXue WangChen PanLiang XinMDPI AGarticlenet primary productionLUCCremote sensingCASAGoogle Earth EngineInner MongoliaScienceQENRemote Sensing, Vol 13, Iss 4480, p 4480 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	net primary production LUCC remote sensing CASA Google Earth Engine Inner Mongolia Science Q
spellingShingle	net primary production LUCC remote sensing CASA Google Earth Engine Inner Mongolia Science Q Renjie Ji Kun Tan Xue Wang Chen Pan Liang Xin Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
description	Grassland ecosystems are a significant part of the global ecosystem and support the livelihoods of millions of people. The Inner Mongolia grassland is the largest temperate grassland in the world, and an important ecological barrier for China, but due to human activities and climate change it has been faced with an ecological crisis in recent years. In this study, a modified Carnegie-Ames-Stanford approach (CASA) model based on the Google Earth Engine platform was used to determine the net primary production (NPP) in the Inner Mongolia grassland from 2000 to 2020. The results show that the average annual NPP of the Inner Mongolia grassland is 278.63 g C/m<sup>2</sup>, and 83.22% of the total area has shown an increasing trend during the study period. We also analyzed the impact of land-use/cover change (LUCC) and climatic factors on NPP. We found that: (1) the total area of grassland increased from 2000 to 2010 and then decreased from 2010 to 2020. During the whole study period, although the grassland area increased slightly by 4728.69 km<sup>2</sup> because of LUCC, the overall effect of LUCC on grassland NPP was negative, with a loss of 17.63 Tg C compared to an increase of 16.38 Tg C. (2) The main meteorological factor affecting the NPP of the Inner Mongolia grassland is precipitation, followed by sunshine duration and temperature. About 97.06% of the grassland shows a positive correlation between NPP and precipitation. (3) The results for NPP and its changing trends are not completely consistent in the long- and short-term study periods. Considering the instability of grassland growth, it is necessary to take the periodic variation of precipitation into account when studying NPP. These results could provide basic information for policy formulation and scientific research into the ecological environment management of grassland areas in the future.
format	article
author	Renjie Ji Kun Tan Xue Wang Chen Pan Liang Xin
author_facet	Renjie Ji Kun Tan Xue Wang Chen Pan Liang Xin
author_sort	Renjie Ji
title	Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
title_short	Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
title_full	Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
title_fullStr	Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
title_full_unstemmed	Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020
title_sort	spatiotemporal monitoring of a grassland ecosystem and its net primary production using google earth engine: a case study of inner mongolia from 2000 to 2020
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/97cf9f38c6c4429ab89dc36e14375034
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_version_	1718431660747259904

Spatiotemporal Monitoring of a Grassland Ecosystem and Its Net Primary Production Using Google Earth Engine: A Case Study of Inner Mongolia from 2000 to 2020

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