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Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China

Global warming has a known impact on ecosystems but there is a lack of understanding about its impact on ecosystem processes. Net ecosystem productivity (NEP) and its components play a key part in the global carbon cycle. Analysing the impact of global warming on NEP will improve our understanding o...

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Autores principales: Sun, Yulu, Qu, Fuyao, Zhu, Xianjin, Sun, Bei, Wang, Guojiao, Yin, Hong, Wan, Tao, Song, Xiaowen, Chen, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315621/
https://www.ncbi.nlm.nih.gov/pubmed/32607282
http://dx.doi.org/10.7717/peerj.9327
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author Sun, Yulu
Qu, Fuyao
Zhu, Xianjin
Sun, Bei
Wang, Guojiao
Yin, Hong
Wan, Tao
Song, Xiaowen
Chen, Qian
author_facet Sun, Yulu
Qu, Fuyao
Zhu, Xianjin
Sun, Bei
Wang, Guojiao
Yin, Hong
Wan, Tao
Song, Xiaowen
Chen, Qian
author_sort Sun, Yulu
collection PubMed
description Global warming has a known impact on ecosystems but there is a lack of understanding about its impact on ecosystem processes. Net ecosystem productivity (NEP) and its components play a key part in the global carbon cycle. Analysing the impact of global warming on NEP will improve our understanding of how warming affects ecosystems. In our study, conducted in 2018, five warming treatments were manipulated (0 W, 500 W, 1000 W, 1500 W, and 3000 W) using three repetitions of far infrared open warming over a paddy field in Northeast China. NEP and its two related components, gross primary productivity (GPP) and ecosystem respiration (ER), were measured using the static chamber-infrared gas analyser method to explore the effects of different warming magnitudes on NEP. Results showed that measurement dates, warming treatments, and their interactions significantly affected NEP, ER, and GPP. Warming significantly increased NEP and its components but they showed a non-linear response to different warming magnitudes. The maximum increases in NEP and its components occurred at 1500 W warming. NEP is closely related to its components and the non-linear response of NEP may have primarily resulted from that of GPP. Gradient warming non-linearly increased GPP in the paddy field studied in Northeast China, resulting in the non-linear response of NEP. This study provides a basis for predicting the responses of carbon cycles in future climate events.
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spelling pubmed-73156212020-06-29 Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China Sun, Yulu Qu, Fuyao Zhu, Xianjin Sun, Bei Wang, Guojiao Yin, Hong Wan, Tao Song, Xiaowen Chen, Qian PeerJ Ecology Global warming has a known impact on ecosystems but there is a lack of understanding about its impact on ecosystem processes. Net ecosystem productivity (NEP) and its components play a key part in the global carbon cycle. Analysing the impact of global warming on NEP will improve our understanding of how warming affects ecosystems. In our study, conducted in 2018, five warming treatments were manipulated (0 W, 500 W, 1000 W, 1500 W, and 3000 W) using three repetitions of far infrared open warming over a paddy field in Northeast China. NEP and its two related components, gross primary productivity (GPP) and ecosystem respiration (ER), were measured using the static chamber-infrared gas analyser method to explore the effects of different warming magnitudes on NEP. Results showed that measurement dates, warming treatments, and their interactions significantly affected NEP, ER, and GPP. Warming significantly increased NEP and its components but they showed a non-linear response to different warming magnitudes. The maximum increases in NEP and its components occurred at 1500 W warming. NEP is closely related to its components and the non-linear response of NEP may have primarily resulted from that of GPP. Gradient warming non-linearly increased GPP in the paddy field studied in Northeast China, resulting in the non-linear response of NEP. This study provides a basis for predicting the responses of carbon cycles in future climate events. PeerJ Inc. 2020-06-10 /pmc/articles/PMC7315621/ /pubmed/32607282 http://dx.doi.org/10.7717/peerj.9327 Text en ©2020 Sun et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecology
Sun, Yulu
Qu, Fuyao
Zhu, Xianjin
Sun, Bei
Wang, Guojiao
Yin, Hong
Wan, Tao
Song, Xiaowen
Chen, Qian
Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title_full Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title_fullStr Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title_full_unstemmed Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title_short Non-linear responses of net ecosystem productivity to gradient warming in a paddy field in Northeast China
title_sort non-linear responses of net ecosystem productivity to gradient warming in a paddy field in northeast china
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7315621/
https://www.ncbi.nlm.nih.gov/pubmed/32607282
http://dx.doi.org/10.7717/peerj.9327
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