Site- and species-specific responses of forest growth to climate across the European continent
Site- and species-specific responses of forest growth to climate across the European continent
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DOI：
10.1111/geb.12023
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发表时间：
2013-06-01
影响因子：
6.4
通讯作者：
Frank, David
中科院分区：
文献类型：
--
作者：
Babst, Flurin;Poulter, Benjamin;Frank, David
目的利用大陆尺度树木年轮网络评估基于模型的森林生产力估算的气候敏感性。地理位置欧洲和北非（北纬3070度，西经10度，东经40度）。方法收集了近1000个欧洲主要树种径向树木生长的年分辨率记录，并将生长变化作为历史气候变化的函数进行量化。使用神经网络聚类技术对站点进行分组，以分离时空和物种特异性气候响应模式。将所得的经验气候敏感性与orchide - fm和LPJ-wsl动态全球植被模型（dgvm）估算的净初级生产量（NPP）敏感性进行了比较。结果发现气候响应的生物地理模式是一致的，这取决于(1)系统发育控制和(2)由纬度/海拔位置所描述的环境条件。在高海拔和高纬度地区，温度控制主导着森林生产力，而在中欧和南欧的低海拔地区，湿度敏感地点广泛存在。DGVM模拟大致再现了经验模式，但北纬地区温度敏感性较低，中纬度地区降水敏感性较强。主要结论：大规模森林生产力受月度或季节性气候控制的驱动，但我们的研究结果强调了可比环境条件下物种特有的生长模式。此外，我们证明了前一个生长季节的结转效应可以显著影响树木的生长，特别是在气候条件恶劣的地区，这是大多数当前状态dgvm未考虑的因素。模式数据的差异表明，在碳循环气候反馈能够准确量化之前，NPP模拟的气候敏感性还需要改进。
Aim To evaluate the climate sensitivity of model-based forest productivity estimates using a continental-scale tree-ring network. Location Europe and North Africa (3070 degrees N, 10 degrees W40 degrees E). Methods We compiled close to 1000 annually resolved records of radial tree growth for all major European tree species and quantified changes in growth as a function of historical climatic variation. Sites were grouped using a neural network clustering technique to isolate spatiotemporal and species-specific climate response patterns. The resulting empirical climate sensitivities were compared with the sensitivities of net primary production (NPP) estimates derived from the ORCHIDEE-FM and LPJ-wsl dynamic global vegetation models (DGVMs). Results We found coherent biogeographic patterns in climate response that depend upon (1) phylogenetic controls and (2) ambient environmental conditions delineated by latitudinal/elevational location. Temperature controls dominate forest productivity in high-elevation and high-latitude areas whereas moisture sensitive sites are widespread at low elevation in central and southern Europe. DGVM simulations broadly reproduce the empirical patterns, but show less temperature sensitivity in the boreal zone and stronger precipitation sensitivity towards the mid-latitudes. Main conclusions Large-scale forest productivity is driven by monthly to seasonal climate controls, but our results emphasize species-specific growth patterns under comparable environmental conditions. Furthermore, we demonstrate that carry-over effects from the previous growing season can significantly influence tree growth, particularly in areas with harsh climatic conditions an element not considered in most current-state DGVMs. Modeldata discrepancies suggest that the simulated climate sensitivity of NPP will need refinement before carbon-cycle climate feedbacks can be accurately quantified.