Effects of environmental changes on soil respiration in arid, cold, temperate, and tropical zones

被引:0
|
作者
Ngaba, Mbezele Junior Yannick [1 ,2 ]
Uwiragiye, Yves [3 ,4 ]
Hu, Bin [1 ]
Zhou, Jianbin [3 ]
Dannenmann, Michael [5 ]
Calanca, Pierluigi [6 ]
Bol, Roland [7 ,8 ]
de Vries, Wim [9 ]
Kuzyakov, Yakov [10 ,11 ]
Rennenberg, Heinz [1 ]
机构
[1] Southwest Univ, Coll Resources & Environm, Ctr Mol Ecophysiol CMEP, Chongqing 400715, Peoples R China
[2] Univ Ebolowa HTTTC, Higher Tech Teacher Training Coll Ebolowa, Ebolowa 886, Cameroon
[3] Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Shaanxi, Peoples R China
[4] Univ Technol & Arts Byumba, Kibali, Rwanda
[5] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res, Atmospher Environm Res IMK IFU, D-82467 Garmisch Partenkirchen, Germany
[6] Agroscope, RD Agroecol & Environm, Zurich, Switzerland
[7] Forschungszentrum Julich, Inst Bio & Geosci, Agrosphere IBG 3, D-52425 Julich, Germany
[8] Bangor Univ, Environm Ctr Wales, Sch Nat Sci, Bangor, Wales
[9] Wageningen Univ & Res Ctr, Alterra, POB 47, NL-6700 AA Wageningen, Netherlands
[10] Univ Goettingen, Dept Soil Sci Temperate Ecosyst, Dept Agr Soil Sci, D-37077 Gottingen, Germany
[11] Peoples Friendship Univ Russia RUDN Univ, Moscow 117198, Russia
关键词
Climate change; Global warming; Ko<spacing diaeresis>ppen-Geiger climate classification; Machine learning; meta-analysis; Nitrogen addition; Increased precipitation; Soil respiration; LAND-USE CHANGES; ORGANIC-MATTER; KOPPEN CLASSIFICATION; NITROGEN DEPOSITION; CO2; EFFLUX; CARBON; PRECIPITATION; COMPONENTS; RESPONSES; DESERT;
D O I
10.1016/j.scitotenv.2024.175943
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil respiration (R-s) is projected to be substantially affected by climate change, impacting the storage, equilibrium, and movement of terrestrial carbon (C). However, uncertainties surrounding the responses of R-s to climate change and soil nitrogen (N) enrichment are linked to mechanisms specific to diverse climate zones. A comprehensive meta-analysis was conducted to address this, evaluating the global effects of warming, increased precipitation, and N enrichment on R-s across various climate zones and ecosystems. Data from 123 studies, encompassing a total of 10,377 worldwide observations, were synthesized for this purpose. Annual R-s were modeled and their uncertainties were associated with a 1-km(2) resolution global R-s database spanning from 1961 to 2022. Calibrating R-s using ensemble machine learning (EML) and employing 10-fold cross-validation, 13 environmental covariates were utilized. The meta-analysis findings revealed an upsurge in R-s rates in response to warming, with tropical, arid, and temperate climate zones exhibiting increases of 12 %, 13 %, and 16 %, respectively. Furthermore, increased precipitation led to stimulated R-s rates of 11 % and 9 % in tropical and temperate zones, respectively, while N deposition affected R-s in cold (+6 %) and tropical (+5 %) climate zones. The machine learning technique estimated the global soil respiration to range from 91 to 171 Pg C yr(-1), with an average R-s of 700 +/- 300 g C m(-2) yr(-1). The values ranged between 314 and 2500 g C m(-2) yr(-1), with the lowest and highest values observed in cold and tropical zones, respectively. Spatial variation in R-s was most pronounced in low-latitude areas, particularly in tropical rainforests and monsoon zones. Temperature, precipitation, and N deposition were identified as crucial environmental factors exerting significant influences on R-s rates worldwide. These factors underscore the interconnectedness between climate and ecosystem processes, therefore requiring explicit considerations of different climate zones when assessing responses of R-s to global change.
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页数:12
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