Suppr超能文献

基于考虑人类干预的改进模型树集成方法的草原总二氧化碳吸收量:全球估计及其与气候的相互关系。

Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate.

机构信息

College of Tourism and Environment, Shaanxi Normal University, Xi'an, 710119, China.

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

出版信息

Glob Chang Biol. 2017 Jul;23(7):2720-2742. doi: 10.1111/gcb.13592. Epub 2017 Jan 10.

Abstract

Grassland ecosystems act as a crucial role in the global carbon cycle and provide vital ecosystem services for many species. However, these low-productivity and water-limited ecosystems are sensitive and vulnerable to climate perturbations and human intervention, the latter of which is often not considered due to lack of spatial information regarding the grassland management. Here by the application of a model tree ensemble (MTE-GRASS) trained on local eddy covariance data and using as predictors gridded climate and management intensity field (grazing and cutting), we first provide an estimate of global grassland gross primary production (GPP). GPP from our study compares well (modeling efficiency NSE = 0.85 spatial; NSE between 0.69 and 0.94 interannual) with that from flux measurement. Global grassland GPP was on average 11 ± 0.31 Pg C yr and exhibited significantly increasing trend at both annual and seasonal scales, with an annual increase of 0.023 Pg C (0.2%) from 1982 to 2011. Meanwhile, we found that at both annual and seasonal scale, the trend (except for northern summer) and interannual variability of the GPP are primarily driven by arid/semiarid ecosystems, the latter of which is due to the larger variation in precipitation. Grasslands in arid/semiarid regions have a stronger (33 g C m  yr /100 mm) and faster (0- to 1-month time lag) response to precipitation than those in other regions. Although globally spatial gradients (71%) and interannual changes (51%) in GPP were mainly driven by precipitation, where most regions with arid/semiarid climate zone, temperature and radiation together shared half of GPP variability, which is mainly distributed in the high-latitude or cold regions. Our findings and the results of other studies suggest the overwhelming importance of arid/semiarid regions as a control on grassland ecosystems carbon cycle. Similarly, under the projected future climate change, grassland ecosystems in these regions will be potentially greatly influenced.

摘要

草原生态系统在全球碳循环中起着至关重要的作用,为许多物种提供了重要的生态系统服务。然而,这些低生产力和水资源有限的生态系统对气候波动和人为干预很敏感和脆弱,后者通常由于缺乏关于草原管理的空间信息而不被考虑。在这里,我们通过应用基于局地涡度相关数据的模型树集成(MTE-GRASS),并使用网格化气候和管理强度场(放牧和刈割)作为预测因子,首次提供了全球草原总初级生产力(GPP)的估计。我们的研究结果与通量测量结果(模拟效率 NSE=0.85 空间;NSE 为 0.69 至 0.94 年际)相比表现良好。全球草原 GPP 的平均值为 11±0.31PgCyr,并且在年际和季节尺度上均呈显著增加趋势,从 1982 年到 2011 年每年增加 0.023 Pg C(0.2%)。同时,我们发现,在年际和季节尺度上,GPP 的趋势(除了北部夏季)和年际变化主要受干旱/半干旱生态系统驱动,这是由于降水变化较大所致。干旱/半干旱地区的草原对降水的响应更强(33gCm yr /100mm)且更快(0 到 1 个月的时间滞后),而其他地区的草原则较弱且较慢。尽管全球 GPP 的空间梯度(71%)和年际变化(51%)主要由降水驱动,但大多数干旱/半干旱气候带的地区,温度和辐射共同占 GPP 变异性的一半,主要分布在高纬度或寒冷地区。我们的研究结果和其他研究的结果表明,干旱/半干旱地区作为草原生态系统碳循环的控制因素至关重要。同样,在未来气候预计的变化下,这些地区的草原生态系统将可能受到极大的影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验