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Global patterns and predictors of stem CO2 efflux in forest ecosystems

机译:森林生态系统中茎CO2外排的全球格局和预测因素

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Stem CO2 efflux (E-S) plays an important role in the carbon balance of forest ecosystems. However, its primary controls at the global scale are poorly understood and observation-based global estimates are lacking. We synthesized data from 121 published studies across global forest ecosystems and examined the relationships between annual E-S and biotic and abiotic factors at individual, biome, and global scales, and developed a global gridded estimate of annual E-S. We tested the following hypotheses: (1) Leaf area index (LAI) will be highly correlated with annual E-S at biome and global scales; (2) there will be parallel patterns in stem and root CO2 effluxes (R-A) in all forests; (3) annual E-S will decline with forest age; and (4) LAI coupled with mean annual temperature (MAT) and mean annual precipitation (MAP) will be sufficient to predict annual E-S across forests in different regions. Positive linear relationships were found between E-S and LAI, as well as gross primary production (GPP), net primary production (NPP), wood NPP, soil CO2 efflux (R-S), and R-A. Annual E-S was correlated with R-A in temperate forests after controlling for GPP and MAT, suggesting other additional factors contributed to the relationship. Annual E-S tended to decrease with stand age. Leaf area index, MAT and MAP, predicted 74% of variation in E-S at global scales. Our statistical model estimated a global annual E-S of 6.7 +/- 1.1PgCyr(-1) over the period of 2000-2012 with little interannual variability. Modeled mean annual E-S was 71 +/- 43, 270 +/- 103, and 420 +/- 134gCm(2)yr(-1) for boreal, temperate, and tropical forests, respectively. We recommend that future studies report E-S at a standardized constant temperature, incorporate more manipulative treatments, such as fertilization and drought, and whenever possible, simultaneously measure both aboveground and belowground CO2 fluxes.
机译:茎二氧化碳排放(E-S)在森林生态系统的碳平衡中起着重要作用。但是,人们对它在全球范围内的主要控制方法知之甚少,而且缺乏基于观察的全球估计数。我们对来自全球森林生态系统的121篇已发表研究的数据进行了综合,并研究了年度E-S与个体,生物群落和全球范围内生物和非生物因子之间的关系,并制定了年度E-S的全球网格估计。我们测试了以下假设:(1)在生物群落和全球范围内,叶面积指数(LAI)与年度E-S高度相关; (2)在所有森林中,茎和根的CO2外流(R-A)都将有平行的模式; (3)随着森林年龄的增长,年生态安全系数将下降; (4)LAI加上年平均气温(MAT)和年平均降水量(MAP)足以预测不同地区森林的年E-S。在E-S和LAI以及初级生产总值(GPP),净初级生产(NPP),木材NPP,土壤CO2外排(R-S)和R-A之间发现正线性关系。在控制了GPP和MAT之后,在温带森林中,年度E-S与R-A相关,表明其他因素也促成了这种关系。年度E-S倾向于随着林分年龄而减少。叶面积指数,MAT和MAP预测了全球范围内E-S变化的74%。我们的统计模型估计2000-2012年期间全球年度E-S为6.7 +/- 1.1PgCyr(-1),年际变化很小。北方,温带和热带森林的模型平均年E-S分别为71 +/- 43、270 +/- 103和420 +/- 134gCm(2)yr(-1)。我们建议未来的研究报告在标准的恒定温度下进行E-S,并结合更多的操纵性处理,例如施肥和干旱,并在可能的情况下同时测量地上和地下的CO2通量。

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