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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model-Data Comparison
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Global Patterns in Net Primary Production Allocation Regulated by Environmental Conditions and Forest Stand Age: A Model-Data Comparison

机译：环境条件和森林股东净初级生产分配的全球模式：模型 - 数据比较

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摘要

The allocation of net primary production (NPP) to different plant structures, such as leaves, wood, and fine roots, plays an important role in the terrestrial carbon cycle. However, the biogeographical patterns of NPP allocation are not well understood. We constructed a global database of forest NPP to investigate the observed spatial patterns of forest NPP allocation, as influenced by environmental drivers and forest stand age. We then examined whether dynamic global vegetation models (DGVMs) could capture these allocation patterns. The NPP allocation response to variations in temperature or precipitation was often opposite in leaves and fine roots, a finding consistent with the functional balance theory for allocation. The observed allocation to fine roots decreased with increasing temperature and precipitation. The observed allocation to wood and leaves decreased with forest stand age. The simulated allocation with five DGVMs was compared with the observations. The five models captured the spatial gradient of lower allocation to fine roots with increasing temperature and precipitation but did not capture coincident gradients in allocation to wood and leaves. None of the five models adequately represented the changes in allocation with forest stand age. Specifically, the models did not reproduce the decrease in allocation to wood and leaves and the increase in allocation to fine roots with increasing forest stand age. An accurate simulation of NPP allocation requires more realistic representation of multiple processes that are closely related to allocation. The NPP allocation database can be used to develop DGVMs.
机译：将净初级生产（NPP）分配给不同的植物结构，如叶，木材和细根，在陆地碳循环中起着重要作用。然而，NPP分配的生物地图模式并不熟知。我们构建了森林NPP的全球数据库，以调查观察到的森林NPP分配的空间模式，受环境司机和森林常规年龄的影响。然后，我们检查了动态全球植被模型（DGVM）是否可以捕获这些分配模式。对温度或沉淀变化的NPP分配响应通常在叶子和细根中对立，一个与分配功能平衡理论一致的发现。随着温度和降水的增加，观察到的细根的分配减少。观察到的木材和叶片的分配随着森林的时代减少。将具有五个DGVM的模拟分配与观察结果进行比较。该五种模型捕获了较低分配的空间梯度，随着温度和降水的增加，但没有捕获到木材和叶子的分配中的重合梯度。五种模型中没有一个充分地代表了与森林站年龄的分配变化。具体而言，模型没有再现对木材和叶片的分配减少，并且随着森林阶段的增加，对细根的分配增加。对NPP分配的准确模拟需要与分配密切相关的多个进程的更现实的表示。 NPP分配数据库可用于开发DGVM。

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  • 作者

    Jiangzhou Xia; Wenping Yuan; Sebastian Lienert; Fortunat Joos; Philippe Ciais; Nicolas Viovy; Ying-ping Wang; Xufeng Wang; Haicheng Zhang; Yang Chen; Xiangjun Tian;

  • 作者单位

    Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal University Tianjin China;

    School of Atmospheric Sciences Sun Yat-sen University Guangzhou China;

    Climate and Environmental Physics Physics Institute and Oeschger Centre for Climate Change Research University of Bern Bern Switzerland;

    Climate and Environmental Physics Physics Institute and Oeschger Centre for Climate Change Research University of Bern Bern Switzerland;

    Environnement (LSCE) CEA CNRS UVSQ Gif-sur-Yvette France;

    Environnement (LSCE) CEA CNRS UVSQ Gif-sur-Yvette France;

    CSIRO Oceans and Atmosphere Aspendale Victoria Australia;

    Key Laboratory of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research Station Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou China;

    Environnement (LSCE) CEA CNRS UVSQ Gif-sur-Yvette France;

    Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal University Tianjin China;

    International Center for Climate and Environment Sciences (ICCES) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物分布与生物地理学;
  • 关键词

    Global Patterns; Net Primary Production; Allocation Regulated;

    机译：全球模式;净初级生产;分配调节;

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