Global divergent responses of primary productivity to water, energy, and CO2
The directionality of the response of gross primary productivity (GPP) to climate has been shown to vary across the globe. This effect has been hypothesized to be the result of the interaction between multiple bioclimatic factors, including environmental energy (i.e. temperature and radiation) and w...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2019-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ab57c5 |
| _version_ | 1797747576683888640 |
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| author | Zhiyong Liu Lei Chen Nicholas G Smith Wenping Yuan Xiaohong Chen Guoyi Zhou Syed Ashraful Alam Kairong Lin Tongtiegang Zhao Ping Zhou Chengjin Chu Hanqing Ma Jianquan Liu |
| author_facet | Zhiyong Liu Lei Chen Nicholas G Smith Wenping Yuan Xiaohong Chen Guoyi Zhou Syed Ashraful Alam Kairong Lin Tongtiegang Zhao Ping Zhou Chengjin Chu Hanqing Ma Jianquan Liu |
| author_sort | Zhiyong Liu |
| collection | DOAJ |
| description | The directionality of the response of gross primary productivity (GPP) to climate has been shown to vary across the globe. This effect has been hypothesized to be the result of the interaction between multiple bioclimatic factors, including environmental energy (i.e. temperature and radiation) and water availability. This is due to the tight coupling between water and carbon cycling in plants and the fact that temperature often drives plant water demand. Using GPP data extracted from 188 sites of FLUXNET2015 and observation-driven terrestrial biosphere models (TBMs), we disentangled the confounding effects of temperature, precipitation and carbon dioxide on GPP, and examined their long-term effects on productivity across the globe. Based on the FLUXNET2015 data, we observed a decline in the positive effect of temperature on GPP, while the positive effects of precipitation and CO _2 were becoming stronger during 2000–2014. Using data derived from TBMs between 1980 and 2010 we found similar effects globally. The modeled data allowed us to investigate these effects more thoroughly over space and time. In arid regions, the modeled response to precipitation increased since 1950, approximately 30 years earlier than in humid regions. We further observed the negative effects of summer temperature on GPP in arid regions, suggesting greater aridity stress on productivity under global warming. Our results imply that aridity stress, triggered by rising temperatures, has reduced the positive influence of temperature on GPP, while increased precipitation and elevated CO _2 may alleviate negative aridity impacts. |
| first_indexed | 2024-03-12T15:52:36Z |
| format | Article |
| id | doaj.art-2c6b407c792d4012a0184a40cbbab895 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:52:36Z |
| publishDate | 2019-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-2c6b407c792d4012a0184a40cbbab8952023-08-09T15:02:55ZengIOP PublishingEnvironmental Research Letters1748-93262019-01-01141212404410.1088/1748-9326/ab57c5Global divergent responses of primary productivity to water, energy, and CO2Zhiyong Liu0https://orcid.org/0000-0002-6930-5879Lei Chen1Nicholas G Smith2Wenping Yuan3Xiaohong Chen4Guoyi Zhou5Syed Ashraful Alam6https://orcid.org/0000-0001-9870-1494Kairong Lin7Tongtiegang Zhao8https://orcid.org/0000-0001-6943-258XPing Zhou9Chengjin Chu10Hanqing Ma11Jianquan Liu12Center for Water Resources and Environment, School of Civil Engineering, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), 519082 Zhuhai, People’s Republic of ChinaKey Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University , 610065 Chengdu, People’s Republic of China; Department of Biological Sciences, Texas Tech University , 79409 Lubbock, United States of AmericaDepartment of Biological Sciences, Texas Tech University , 79409 Lubbock, United States of AmericaSchool of Atmospheric Sciences, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of ChinaCenter for Water Resources and Environment, School of Civil Engineering, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of ChinaInstitute of Ecology, School of Applied Meteorology, Nanjing University of Information Science & Technology , Nanjing 210044, People’s Republic of ChinaInstitute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki , PO Box 64, FI-00014 Helsinki, FinlandCenter for Water Resources and Environment, School of Civil Engineering, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of ChinaCenter for Water Resources and Environment, School of Civil Engineering, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of ChinaGuangzhou Institute of Geography, 510070 Guangzhou, People’s Republic of ChinaDepartment of Ecology, State Key Laboratory of Biocontrol and School of Life Sciences, Sun Yat-Sen University , 510275 Guangzhou, People’s Republic of ChinaNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, 730000 Lanzhou, People’s Republic of ChinaKey Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University , 610065 Chengdu, People’s Republic of ChinaThe directionality of the response of gross primary productivity (GPP) to climate has been shown to vary across the globe. This effect has been hypothesized to be the result of the interaction between multiple bioclimatic factors, including environmental energy (i.e. temperature and radiation) and water availability. This is due to the tight coupling between water and carbon cycling in plants and the fact that temperature often drives plant water demand. Using GPP data extracted from 188 sites of FLUXNET2015 and observation-driven terrestrial biosphere models (TBMs), we disentangled the confounding effects of temperature, precipitation and carbon dioxide on GPP, and examined their long-term effects on productivity across the globe. Based on the FLUXNET2015 data, we observed a decline in the positive effect of temperature on GPP, while the positive effects of precipitation and CO _2 were becoming stronger during 2000–2014. Using data derived from TBMs between 1980 and 2010 we found similar effects globally. The modeled data allowed us to investigate these effects more thoroughly over space and time. In arid regions, the modeled response to precipitation increased since 1950, approximately 30 years earlier than in humid regions. We further observed the negative effects of summer temperature on GPP in arid regions, suggesting greater aridity stress on productivity under global warming. Our results imply that aridity stress, triggered by rising temperatures, has reduced the positive influence of temperature on GPP, while increased precipitation and elevated CO _2 may alleviate negative aridity impacts.https://doi.org/10.1088/1748-9326/ab57c5climate warminggross primary productivityrising temperatureprecipitationwater availability |
| spellingShingle | Zhiyong Liu Lei Chen Nicholas G Smith Wenping Yuan Xiaohong Chen Guoyi Zhou Syed Ashraful Alam Kairong Lin Tongtiegang Zhao Ping Zhou Chengjin Chu Hanqing Ma Jianquan Liu Global divergent responses of primary productivity to water, energy, and CO2 Environmental Research Letters climate warming gross primary productivity rising temperature precipitation water availability |
| title | Global divergent responses of primary productivity to water, energy, and CO2 |
| title_full | Global divergent responses of primary productivity to water, energy, and CO2 |
| title_fullStr | Global divergent responses of primary productivity to water, energy, and CO2 |
| title_full_unstemmed | Global divergent responses of primary productivity to water, energy, and CO2 |
| title_short | Global divergent responses of primary productivity to water, energy, and CO2 |
| title_sort | global divergent responses of primary productivity to water energy and co2 |
| topic | climate warming gross primary productivity rising temperature precipitation water availability |
| url | https://doi.org/10.1088/1748-9326/ab57c5 |
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