A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change
Direct quantification of terrestrial biosphere responses to global change is crucial for projections of future climate change in Earth system models. Here, we synthesized ecosystem carbon-cycling data from 1,119 experiments performed over the past four decades concerning changes in temperature, prec...
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ftdatacite:10.48350/140027 2023-05-15T15:08:40+02:00 A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change Song, Jian Wan, Shiqiang Piao, Shilong Knapp, Alan K. Classen, Aimée T. Vicca, Sara Ciais, Philippe Hovenden, Mark J. Leuzinger, Sebastian Beier, Claus Kardol, Paul Xia, Jianyang Liu, Qiang Ru, Jingyi Zhou, Zhenxing Luo, Yiqi Guo, Dali Adam Langley, J. Zscheischler, Jakob Dukes, Jeffrey S. Tang, Jianwu Chen, Jiquan Hofmockel, Kirsten S. Kueppers, Lara M. Rustad, Lindsey Liu, Lingli Smith, Melinda D. Templer, Pamela H. Quinn Thomas, R. Norby, Richard J. Phillips, Richard P. Niu, Shuli Fatichi, Simone Wang, Yingping Shao, Pengshuai Han, Hongyan Wang, Dandan Lei, Lingjie Wang, Jiali Li, Xiaona Zhang, Qian Li, Xiaoming Su, Fanglong Liu, Bin Yang, Fan Ma, Gaigai Li, Guoyong Liu, Yanchun Liu, Yinzhan Yang, Zhongling Zhang, Kesheng Miao, Yuan Hu, Mengjun Yan, Chuang Zhang, Ang Zhong, Mingxing Hui, Yan Li, Ying Zheng, Mengmei 2019 https://dx.doi.org/10.48350/140027 https://boris.unibe.ch/140027/ unknown Springer Nature restricted access publisher holds copyright http://purl.org/coar/access_right/c_16ec 530 Physics Text article-journal journal article ScholarlyArticle 2019 ftdatacite https://doi.org/10.48350/140027 2021-11-05T12:55:41Z Direct quantification of terrestrial biosphere responses to global change is crucial for projections of future climate change in Earth system models. Here, we synthesized ecosystem carbon-cycling data from 1,119 experiments performed over the past four decades concerning changes in temperature, precipitation, CO2 and nitrogen across major terrestrial vegetation types of the world. Most experiments manipulated single rather than multiple global change drivers in temperate ecosystems of the USA, Europe and China. The magnitudes of warming and elevated CO2 treatments were consistent with the ranges of future projections, whereas those of precipitation changes and nitrogen inputs often exceeded the projected ranges. Increases in global change drivers consistently accelerated, but decreased precipitation slowed down carbon-cycle processes. Nonlinear (including synergistic and antagonistic) effects among global change drivers were rare. Belowground carbon allocation responded negatively to increased precipitation and nitrogen addition and positively to decreased precipitation and elevated CO2. The sensitivities of carbon variables to multiple global change drivers depended on the background climate and ecosystem condition, suggesting that Earth system models should be evaluated using site-specific conditions for best uses of this large dataset. Together, this synthesis underscores an urgent need to explore the interactions among multiple global change drivers in under-represented regions such as semi-arid ecosystems, forests in the tropics and subtropics, and Arctic tundra when forecasting future terrestrial carbon-climate feedback. Text Arctic Climate change Tundra DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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530 Physics |
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530 Physics Song, Jian Wan, Shiqiang Piao, Shilong Knapp, Alan K. Classen, Aimée T. Vicca, Sara Ciais, Philippe Hovenden, Mark J. Leuzinger, Sebastian Beier, Claus Kardol, Paul Xia, Jianyang Liu, Qiang Ru, Jingyi Zhou, Zhenxing Luo, Yiqi Guo, Dali Adam Langley, J. Zscheischler, Jakob Dukes, Jeffrey S. Tang, Jianwu Chen, Jiquan Hofmockel, Kirsten S. Kueppers, Lara M. Rustad, Lindsey Liu, Lingli Smith, Melinda D. Templer, Pamela H. Quinn Thomas, R. Norby, Richard J. Phillips, Richard P. Niu, Shuli Fatichi, Simone Wang, Yingping Shao, Pengshuai Han, Hongyan Wang, Dandan Lei, Lingjie Wang, Jiali Li, Xiaona Zhang, Qian Li, Xiaoming Su, Fanglong Liu, Bin Yang, Fan Ma, Gaigai Li, Guoyong Liu, Yanchun Liu, Yinzhan Yang, Zhongling Zhang, Kesheng Miao, Yuan Hu, Mengjun Yan, Chuang Zhang, Ang Zhong, Mingxing Hui, Yan Li, Ying Zheng, Mengmei A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
topic_facet |
530 Physics |
description |
Direct quantification of terrestrial biosphere responses to global change is crucial for projections of future climate change in Earth system models. Here, we synthesized ecosystem carbon-cycling data from 1,119 experiments performed over the past four decades concerning changes in temperature, precipitation, CO2 and nitrogen across major terrestrial vegetation types of the world. Most experiments manipulated single rather than multiple global change drivers in temperate ecosystems of the USA, Europe and China. The magnitudes of warming and elevated CO2 treatments were consistent with the ranges of future projections, whereas those of precipitation changes and nitrogen inputs often exceeded the projected ranges. Increases in global change drivers consistently accelerated, but decreased precipitation slowed down carbon-cycle processes. Nonlinear (including synergistic and antagonistic) effects among global change drivers were rare. Belowground carbon allocation responded negatively to increased precipitation and nitrogen addition and positively to decreased precipitation and elevated CO2. The sensitivities of carbon variables to multiple global change drivers depended on the background climate and ecosystem condition, suggesting that Earth system models should be evaluated using site-specific conditions for best uses of this large dataset. Together, this synthesis underscores an urgent need to explore the interactions among multiple global change drivers in under-represented regions such as semi-arid ecosystems, forests in the tropics and subtropics, and Arctic tundra when forecasting future terrestrial carbon-climate feedback. |
format |
Text |
author |
Song, Jian Wan, Shiqiang Piao, Shilong Knapp, Alan K. Classen, Aimée T. Vicca, Sara Ciais, Philippe Hovenden, Mark J. Leuzinger, Sebastian Beier, Claus Kardol, Paul Xia, Jianyang Liu, Qiang Ru, Jingyi Zhou, Zhenxing Luo, Yiqi Guo, Dali Adam Langley, J. Zscheischler, Jakob Dukes, Jeffrey S. Tang, Jianwu Chen, Jiquan Hofmockel, Kirsten S. Kueppers, Lara M. Rustad, Lindsey Liu, Lingli Smith, Melinda D. Templer, Pamela H. Quinn Thomas, R. Norby, Richard J. Phillips, Richard P. Niu, Shuli Fatichi, Simone Wang, Yingping Shao, Pengshuai Han, Hongyan Wang, Dandan Lei, Lingjie Wang, Jiali Li, Xiaona Zhang, Qian Li, Xiaoming Su, Fanglong Liu, Bin Yang, Fan Ma, Gaigai Li, Guoyong Liu, Yanchun Liu, Yinzhan Yang, Zhongling Zhang, Kesheng Miao, Yuan Hu, Mengjun Yan, Chuang Zhang, Ang Zhong, Mingxing Hui, Yan Li, Ying Zheng, Mengmei |
author_facet |
Song, Jian Wan, Shiqiang Piao, Shilong Knapp, Alan K. Classen, Aimée T. Vicca, Sara Ciais, Philippe Hovenden, Mark J. Leuzinger, Sebastian Beier, Claus Kardol, Paul Xia, Jianyang Liu, Qiang Ru, Jingyi Zhou, Zhenxing Luo, Yiqi Guo, Dali Adam Langley, J. Zscheischler, Jakob Dukes, Jeffrey S. Tang, Jianwu Chen, Jiquan Hofmockel, Kirsten S. Kueppers, Lara M. Rustad, Lindsey Liu, Lingli Smith, Melinda D. Templer, Pamela H. Quinn Thomas, R. Norby, Richard J. Phillips, Richard P. Niu, Shuli Fatichi, Simone Wang, Yingping Shao, Pengshuai Han, Hongyan Wang, Dandan Lei, Lingjie Wang, Jiali Li, Xiaona Zhang, Qian Li, Xiaoming Su, Fanglong Liu, Bin Yang, Fan Ma, Gaigai Li, Guoyong Liu, Yanchun Liu, Yinzhan Yang, Zhongling Zhang, Kesheng Miao, Yuan Hu, Mengjun Yan, Chuang Zhang, Ang Zhong, Mingxing Hui, Yan Li, Ying Zheng, Mengmei |
author_sort |
Song, Jian |
title |
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
title_short |
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
title_full |
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
title_fullStr |
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
title_full_unstemmed |
A meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
title_sort |
meta-analysis of 1,119 manipulative experiments on terrestrial carbon-cycling responses to global change |
publisher |
Springer Nature |
publishDate |
2019 |
url |
https://dx.doi.org/10.48350/140027 https://boris.unibe.ch/140027/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_rights |
restricted access publisher holds copyright http://purl.org/coar/access_right/c_16ec |
op_doi |
https://doi.org/10.48350/140027 |
_version_ |
1766339982070382592 |