Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019

Quantifying the spatial, seasonal (phenological), and inter-annual variations of gross primary productivity (GPP) in the Arctic is critical for comprehending the terrestrial carbon cycle and its feedback to climate warming in this region. Here, we evaluated the accuracy of the MOD17A2H GPP product u...

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Published in:Remote Sensing
Main Authors: Dujuan Ma, Xiaodan Wu, Xuanlong Ma, Jingping Wang, Xingwen Lin, Cuicui Mu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
GPP
Q
Online Access:https://doi.org/10.3390/rs13152875
https://doaj.org/article/1c03c56971864fd4a57950b105635a9b
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spelling ftdoajarticles:oai:doaj.org/article:1c03c56971864fd4a57950b105635a9b 2023-05-15T14:36:27+02:00 Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019 Dujuan Ma Xiaodan Wu Xuanlong Ma Jingping Wang Xingwen Lin Cuicui Mu 2021-07-01T00:00:00Z https://doi.org/10.3390/rs13152875 https://doaj.org/article/1c03c56971864fd4a57950b105635a9b EN eng MDPI AG https://www.mdpi.com/2072-4292/13/15/2875 https://doaj.org/toc/2072-4292 doi:10.3390/rs13152875 2072-4292 https://doaj.org/article/1c03c56971864fd4a57950b105635a9b Remote Sensing, Vol 13, Iss 2875, p 2875 (2021) GPP carbon cycle arctic phenology photosynthesis Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13152875 2022-12-31T15:16:29Z Quantifying the spatial, seasonal (phenological), and inter-annual variations of gross primary productivity (GPP) in the Arctic is critical for comprehending the terrestrial carbon cycle and its feedback to climate warming in this region. Here, we evaluated the accuracy of the MOD17A2H GPP product using the FLUXNET 2015 dataset in the Arctic, then explored the spatial patterns, seasonal variations, and interannual trends of GPP, and investigated the dependence of the spatiotemporal variations in GPP on land cover types, latitude, and elevation from 2001 to 2019. The results showed that MOD17A2H was consistent with in situ measurements (R = 0.8, RMSE = 1.26 g C m −2 d −1 ). The functional phenology was also captured by the MOD17A2H product (R = 0.62, RMSE = 9 days) in the Arctic. The spatial variation of the seasonal magnitude of GPP and its interannual trends is partly related to land cover types, peaking in forests and lowest in grasslands. The interannual trend of GPP decreased as the latitude and elevation increased, except for the latitude between 62°~66° N and elevation below 700 m. Our study not only revealed the variation of GPP in the Arctic but also helped to understand the carbon cycle over this region. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 13 15 2875
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic GPP
carbon cycle
arctic
phenology
photosynthesis
Science
Q
spellingShingle GPP
carbon cycle
arctic
phenology
photosynthesis
Science
Q
Dujuan Ma
Xiaodan Wu
Xuanlong Ma
Jingping Wang
Xingwen Lin
Cuicui Mu
Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
topic_facet GPP
carbon cycle
arctic
phenology
photosynthesis
Science
Q
description Quantifying the spatial, seasonal (phenological), and inter-annual variations of gross primary productivity (GPP) in the Arctic is critical for comprehending the terrestrial carbon cycle and its feedback to climate warming in this region. Here, we evaluated the accuracy of the MOD17A2H GPP product using the FLUXNET 2015 dataset in the Arctic, then explored the spatial patterns, seasonal variations, and interannual trends of GPP, and investigated the dependence of the spatiotemporal variations in GPP on land cover types, latitude, and elevation from 2001 to 2019. The results showed that MOD17A2H was consistent with in situ measurements (R = 0.8, RMSE = 1.26 g C m −2 d −1 ). The functional phenology was also captured by the MOD17A2H product (R = 0.62, RMSE = 9 days) in the Arctic. The spatial variation of the seasonal magnitude of GPP and its interannual trends is partly related to land cover types, peaking in forests and lowest in grasslands. The interannual trend of GPP decreased as the latitude and elevation increased, except for the latitude between 62°~66° N and elevation below 700 m. Our study not only revealed the variation of GPP in the Arctic but also helped to understand the carbon cycle over this region.
format Article in Journal/Newspaper
author Dujuan Ma
Xiaodan Wu
Xuanlong Ma
Jingping Wang
Xingwen Lin
Cuicui Mu
author_facet Dujuan Ma
Xiaodan Wu
Xuanlong Ma
Jingping Wang
Xingwen Lin
Cuicui Mu
author_sort Dujuan Ma
title Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
title_short Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
title_full Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
title_fullStr Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
title_full_unstemmed Spatial, Phenological, and Inter-Annual Variations of Gross Primary Productivity in the Arctic from 2001 to 2019
title_sort spatial, phenological, and inter-annual variations of gross primary productivity in the arctic from 2001 to 2019
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13152875
https://doaj.org/article/1c03c56971864fd4a57950b105635a9b
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Remote Sensing, Vol 13, Iss 2875, p 2875 (2021)
op_relation https://www.mdpi.com/2072-4292/13/15/2875
https://doaj.org/toc/2072-4292
doi:10.3390/rs13152875
2072-4292
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op_doi https://doi.org/10.3390/rs13152875
container_title Remote Sensing
container_volume 13
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