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A trait-mediated, neighbourhood approach to quantify climate impacts on successional dynamics of tropical rainforests

机译:一种特征介导的邻域方法,用于量化气候对热带雨林演替动态的影响

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Second-growth forests account for 40% of the terrestrial forest carbon sink and represent the dominant forest cover in tropical regions. Uncertainties in predicting responses of these ecosystems to climate change arise from high tree species diversity, complex links between eco-physiology and demography, and the role of ontogeny and competition in mediating individual tree responses to climate. The dynamic nature of second-growth forests adds further uncertainty to our ability to quantify the relative importance of climate in mediating successional trajectories. To address these uncertainties, we develop a hierarchical Bayesian neighbourhood modelling approach that quantifies how the joint response of two key functional axes, wood density and specific leaf area (SLA), modulate impacts of inter-annual variation in seasonal water stress (number of days during dry season >1kPa vapour pressure deficit) and night-time temperature on growth and survival of small (5-10cm dbh) and large (10cm dbh) trees for 171 rainforest species in 6s-growth and 2 old-growth 1-ha mapped stands. We use model results to examine potential climate impacts on the successional trajectories of these stands. High water stress reduced large tree growth but favoured growth of small trees. Drought also reduced tree survival for both large and small trees. Tree species with high wood density suffered lower growth reductions and had higher survival under water stress. High SLA magnified the negative effects of water stress on tree growth and survival. Across all tree sizes, high night-time temperatures did not influence growth or survival. Simulated successional trajectories under different climate scenarios using these results suggest that multi-annual droughts will have substantial impacts of the successional trajectories of tropical forests, leading to lower stem numbers, basal area and biomass. Sustained drought will also shift functional composition of second-growth forest by favouring species with low SLA which tend to dominate in late stages of succession. By incorporating trait-mediated effects on key drivers of tree demography and successional dynamics, our approach provides an integrated perspective on interspecific variation in vulnerability to drought and consequences for successional trajectories in tropical rainforests. Our results suggest that multi-annual drought stress will significantly alter structure, composition and dynamics of second-growth forests and, from a functional perspective, accelerate succession. However, this effect may be hampered by dispersal limitation of old-growth species into second-growth forests.
机译:次生林占陆地森林碳汇的40%,是热带地区主要的森林覆盖率。预测这些生态系统对气候变化的响应的不确定性是由于树木种类繁多,生态生理学与人口统计学之间的复杂联系以及个体发育和竞争在调解单个树木对气候变化的作用中产生的。次生林的动态性质为量化气候对调解演替轨迹的相对重要性的能力增加了更多的不确定性。为了解决这些不确定性,我们开发了一种分层贝叶斯邻域建模方法,该方法量化了两个关键功能轴(木材密度和特定叶面积(SLA))的联合响应如何调节季节性水分胁迫(年数)的年际变化的影响。干旱季节> 1kPa蒸汽压不足)和夜间温度对6s和2种老树1公顷的171种雨林树的小(5-10cm dbh)和大(10cm dbh)树的生长和存活的影响站立。我们使用模型结果来检验气候对这些林分演替轨迹的潜在影响。高水分胁迫减少了大树的生长,但有利于小树的生长。干旱也降低了大树和小树的树木存活率。木材密度高的树种在水分胁迫下生长减慢,存活率更高。高SLA放大了水分胁迫对树木生长和生存的负面影响。在所有树木的大小上,夜间高温都不会影响生长或生存。使用这些结果对不同气候情景下的演替轨迹进行模拟表明,多年干旱将对热带森林的演替轨迹产生重大影响,从而导致茎数,基础面积和生物量降低。持续干旱还将偏向于在演替后期占主导地位的低SLA物种,从而改变次生林的功能组成。通过将特征介导的影响纳入对树木人口统计学和演替动力学的关键驱动因素,我们的方法提供了关于干旱脆弱性的种间变异以及热带雨林演替轨迹后果的综合观点。我们的结果表明,多年干旱胁迫将显着改变次生林的结构,组成和动态,并且从功能的角度来看,会加速演替。但是,这种影响可能会由于将旧种扩散到第二种森林中而受到限制。

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