...
首页> 外文期刊>Global change biology >Forest disturbances and climate constrain carbon allocation dynamics in trees
【24h】

Forest disturbances and climate constrain carbon allocation dynamics in trees

机译:森林干扰和气候制约了树木碳分配动态

获取原文
获取原文并翻译 | 示例

摘要

Forest disturbances such as drought, fire, and logging affect the forest carbon dynamics and the terrestrial carbon sink. Forest mortality after disturbances creates uncertainties that need to be accounted for to understand forest dynamics and their associated C-sink. We combined data from permanent resampling plots and biomass oriented dendroecological plots to estimate time series of annual woody biomass growth (ABI) in several forests. ABI time series were used to benchmark a vegetation model to analyze dynamics in forest productivity and carbon allocation forced by environmental variability. The model implements source and sink limitations explicitly by dynamically constraining carbon allocation of assimilated photosynthates as a function of temperature and moisture. Bias in tree-ring reconstructed ABI increased back in time from data collection and with increasing disturbance intensity. ABI bias ranged from zero, in open stands without recorded mortality, to over 100 in stands with major disturbances such as thinning or snowstorms. Stand leaf area was still lower than in control plots decades after heavy thinning. Disturbances, species life-history strategy and climatic variability affected carbon-partitioning patterns in trees. Resprouting broadleaves reached maximum biomass growth at earlier ages than nonresprouting conifers. Environmental variability and leaf area explained much variability in woody biomass allocation. Effects of stand competition on C-allocation were mediated by changes in stand leaf area except after major disturbances. Divergence between tree-ring estimated and simulated ABI were caused by unaccounted changes in allocation or misrepresentation of some functional process independently of the model calibration approach. Higher disturbance intensity produced greater modifications of the C-allocation pattern, increasing error in reconstructed biomass dynamics. Legacy effects from disturbances decreased model performance and reduce the potential use of ABI as a proxy to net primary productivity. Trait-based dynamics of C-allocation in response to environmental variability need to be refined in vegetation models.
机译:干旱、火灾和伐木等森林干扰会影响森林碳动态和陆地碳汇。干扰后的森林死亡率会产生不确定性,需要考虑这些不确定性,以了解森林动态及其相关的碳汇。我们结合了永久重采样样地和生物量导向的树木生态样地的数据,估计了几种森林中木本生物量年生长的时间序列。利用ABI时间序列对植被模型进行基准测试,以分析环境变异性对森林生产力和碳分配的动态影响。该模型通过动态约束同化光合作产物的碳分配作为温度和湿度的函数,明确实现了源和汇限制。树木年轮重建ABI的偏差随着数据收集和干扰强度的增加而增加。ABI偏差范围从零(在没有记录死亡率的开阔林分中)到在有重大干扰(如间伐或暴风雪)的林分中超过100%。大量间伐后几十年,林分叶面积仍低于对照样地。干扰、物种生活史策略和气候变异性影响了树木的碳分配模式。发芽阔叶树比未发芽针叶树更早达到最大生物量生长。环境变异性和叶面积解释了木本生物量分配的很大差异。林分竞争对C分配的影响均由林分叶面积变化介导,但大干扰后除外。树木年轮估计和模拟ABI之间的差异是由分配的未说明变化或某些功能过程的错误表示引起的,与模型校准方法无关。扰动强度越高,C-分配模式的改变越大,重建的生物量动力学误差就越大。干扰的遗留效应降低了模型性能,并降低了 ABI 作为净初级生产力代理的潜在用途。在植被模型中,需要完善基于性状的C-分配响应环境变异的动态。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号