Where does the carbon go? A model-data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites.
Where does the carbon go? A model-data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites.
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DOI：
10.1111/nph.12847
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发表时间：
2014-08
期刊：
影响因子：
--
通讯作者：
Norby RJ
中科院分区：
文献类型：
--
作者：
De Kauwe MG;Medlyn BE;Zaehle S;Walker AP;Dietze MC;Wang YP;Luo Y;Jain AK;El-Masri B;Hickler T;Wårlind D;Weng E;Parton WJ;Thornton PE;Wang S;Prentice IC;Asao S;Smith B;McCarthy HR;Iversen CM;Hanson PJ;Warren JM;Oren R;Norby RJ
如果净初级生产力的增加导致长寿命生物量的增加，大气CO2浓度（eCO2）的升高有可能增加植被的碳储存。eCO2对植被碳储量影响的模型预测取决于分配和周转过程的代表性。我们使用的数据从两个温带森林自由空气CO2富集（FACE）实验，以评估代表性的分配和营业额在11个生态系统模型。观察到的eCO2分配的影响是动态的。分配计划的基础上的生物量组分之间的功能关系，随着资源的可用性是最好的能够捕捉到的意见的一般特征。基于固定比例或资源限制的分配方案表现不佳，一些模型产生了意想不到的结果。很少有模型代表营业额的过程中机械和有很大的变化，预测组织寿命。因此，模型在预测eCO2对植被碳储存的影响方面表现不佳。我们的建议，以减少不确定性包括：使用分配方案的生物量部分的限制，仔细测试的分配方案，并综合分配和营业额的数据模型参数。从深入研究的生态系统操纵实验的数据是非常宝贵的约束模型，我们建议，这样的实验应该尝试充分量化碳，水和养分预算。
Elevated atmospheric CO2 concentration (eCO2) has the potential to increase vegetation carbon storage if increased net primary production causes increased long-lived biomass. Model predictions of eCO2 effects on vegetation carbon storage depend on how allocation and turnover processes are represented. We used data from two temperate forest free-air CO2 enrichment (FACE) experiments to evaluate representations of allocation and turnover in 11 ecosystem models. Observed eCO2 effects on allocation were dynamic. Allocation schemes based on functional relationships among biomass fractions that vary with resource availability were best able to capture the general features of the observations. Allocation schemes based on constant fractions or resource limitations performed less well, with some models having unintended outcomes. Few models represent turnover processes mechanistically and there was wide variation in predictions of tissue lifespan. Consequently, models did not perform well at predicting eCO2 effects on vegetation carbon storage. Our recommendations to reduce uncertainty include: use of allocation schemes constrained by biomass fractions; careful testing of allocation schemes; and synthesis of allocation and turnover data in terms of model parameters. Data from intensively studied ecosystem manipulation experiments are invaluable for constraining models and we recommend that such experiments should attempt to fully quantify carbon, water and nutrient budgets.
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DOI：
10.1073/pnas.1222477110
发表时间：
2014-03-04
影响因子：
11.1
作者：
Friend, Andrew D.;Lucht, Wolfgang;Woodward, F. Ian
通讯作者：
Woodward, F. Ian
影响因子：
3.7
作者：
Ise, Takeshi;Litton, Creighton M.;Ito, Akihiko
通讯作者：
Ito, Akihiko
影响因子：
11.6
作者：
Kattge J;Díaz S;Lavorel S;Prentice IC;Leadley P;Bönisch G;Garnier E;Westoby M;Reich PB;Wright IJ;Cornelissen JH;Violle C;Harrison SP;Van Bodegom PM;Reichstein M;Enquist BJ;Soudzilovskaia NA;Ackerly DD;Anand M;Atkin O;Bahn M;Baker TR;Baldocchi D;Bekker R;Blanco CC;Blonder B;Bond WJ;Bradstock R;Bunker DE;Casanoves F;Cavender-Bares J;Chambers JQ;Chapin FS III;Chave J;Coomes D;Cornwell WK;Craine JM;Dobrin BH;Duarte L;Durka W;Elser J;Esser G;Estiarte M;Fagan WF;Fang J;Fernández-Méndez F;Fidelis A;Finegan B;Flores O;Ford H;Frank D;Freschet GT;Fyllas NM;Gallagher RV;Green WA;Gutierrez AG;Hickler T;Higgins SI;Hodgson JG;Jalili A;Jansen S;Joly CA;Kerkhoff AJ;Kirkup D;Kitajima K;Kleyer M;Klotz S;Knops JM;Kramer K;Kühn I;Kurokawa H;Laughlin D;Lee TD;Leishman M;Lens F;Lenz T;Lewis SL;Lloyd J;Llusià J;Louault F;Ma S;Mahecha MD;Manning P;Massad T;Medlyn BE;Messier J;Moles AT;Müller SC;Nadrowski K;Naeem S;Niinemets Ü;Nöllert S;Nüske A;Ogaya R;Oleksyn J;Onipchenko VG;Onoda Y;Ordoñez J;Overbeck G;Ozinga WA;Patiño S;Paula S;Pausas JG;Peñuelas J;Phillips OL;Pillar V;Poorter H;Poorter L;Poschlod P;Prinzing A;Proulx R;Rammig A;Reinsch S;Reu B;Sack L;Salgado-Negret B;Sardans J;Shiodera S;Shipley B;Siefert A;Sosinski E;Soussana JF;Swaine E;Swenson N;Thompson K;Thornton P;Waldram M;Weiher E;White M;White S;Wright SJ;Yguel B;Zaehle S;Zanne AE;Wirth C
通讯作者：
Wirth C
影响因子：
4.2
作者：
DAVIDSON, RL
通讯作者：
DAVIDSON, RL
影响因子：
2.7
作者：
Bugmann, Harald;Bigler, Christof
通讯作者：
Bigler, Christof