Hydraulic and structural traits of trees across light gradients in the Amazon secondary forest.

IF 3.5 2区 农林科学 Q1 FORESTRY Tree physiology Pub Date : 2024-11-14 DOI:10.1093/treephys/tpae146
Debora Coelho-Silva, Zilza T M Guimarães, Diego S Podadera, Guilherme S Modolo, Sergio Rossi, Marciel J Ferreira, Carmen R Marcati
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Abstract

Amazonian species are generally unable to adapt to long drought periods, indicating a low capacity to adjust their hydraulic traits. Secondary forests account for 20% of forest cover in the Amazon, making natural regeneration species crucial under climate change scenarios. In this study, we compared the hydraulic traits of five species, including non-pioneers (Bertholletia excelsa Bonpl., Carapa guianensis Aubl., Hymenaea courbaril L.) and pioneers (Cedrela fissilis Vell., Tabebuia rosea (Bertol.) Bertero ex A.DC.), across light conditions (understory, intermediate, gap) in a 22-year-old secondary forest in Central Amazon, Brazil. Twenty-five saplings were planted and monitored in 3 plots × 5 blocks. Five years after the plantation, we assessed growth, wood density, leaf water potential at predawn and midday, xylem embolism resistance (P50), and hydraulic safety margins (HSM). Leaf water potential ranged from -2.9 to 0 MPa. The non-pioneer species C. guianensis and H. courbaril exhibited the lowest P50 (-4.06 MPa), indicating higher embolism resistance, whereas the pioneer T. rosea had the highest P50 (-1.25 MPa), indicating lower resistance. HSM varied from -1.60 to 3.26 MPa, with lower values in gap conditions during the dry period (-1.60 MPa), especially affecting pioneer species. Wood density was influenced by both light and species type, with non-pioneers showing generally higher density, with H. courbaril reached 0.75 g cm-3 in the understory while the pioneer T. rosea showed the lowest density (0.27 g cm-3). These results highlight that light conditions affect hydraulic traits differently across species strategies, especially during early growth. Non-pioneer, slow-growing native species appear more resilient to light variation, making them suitable for future plantations aimed at climate adaptation in secondary forests.

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亚马逊次生林中不同光照梯度树木的水力和结构特征。
亚马逊物种通常无法适应长期干旱,这表明它们调整水力特性的能力较低。次生林占亚马逊森林覆盖率的 20%,因此在气候变化情况下,自然再生物种至关重要。在这项研究中,我们比较了巴西亚马逊中部一片有 22 年树龄的次生林中,非先锋(Bertholletia excelsa Bonpl.、Carapa guianensis Aubl.、Hymenaea courbaril L.)和先锋(Cedrela fissilis Vell.、Tabebuia rosea (Bertol.) Bertero ex A.DC.)等五个物种在不同光照条件(林下、中间、间隙)下的水力特征。我们在 3 个地块 × 5 个区块中种植了 25 棵树苗,并对其进行了监测。植树五年后,我们评估了生长情况、木材密度、黎明前和中午的叶片水势、木质部抗栓性(P50)和水力安全系数(HSM)。叶片水势范围为 -2.9 至 0 兆帕。非先锋树种 C. guianensis 和 H. courbaril 的 P50 最低(-4.06 兆帕),表明抗栓塞性较高,而先锋树种 T. rosea 的 P50 最高(-1.25 兆帕),表明抗栓塞性较低。HSM 在-1.60 到 3.26 兆帕之间变化,在干燥期的间隙条件下数值较低(-1.60 兆帕),尤其影响先锋树种。木材密度受光照和树种类型的影响,非先锋树种的密度普遍较高,林下 H. courbaril 的密度达到 0.75 克/厘米-3,而先锋树种 T. rosea 的密度最低(0.27 克/厘米-3)。这些结果突出表明,光照条件对不同物种的水力特性有不同的影响,尤其是在生长早期。非先锋、生长缓慢的本地物种似乎对光照变化的适应能力更强,因此适合未来在次生林中种植,以适应气候。
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来源期刊
Tree physiology
Tree physiology 农林科学-林学
CiteScore
7.10
自引率
7.50%
发文量
133
审稿时长
1 months
期刊介绍: Tree Physiology promotes research in a framework of hierarchically organized systems, measuring insight by the ability to link adjacent layers: thus, investigated tree physiology phenomenon should seek mechanistic explanation in finer-scale phenomena as well as seek significance in larger scale phenomena (Passioura 1979). A phenomenon not linked downscale is merely descriptive; an observation not linked upscale, might be trivial. Physiologists often refer qualitatively to processes at finer or coarser scale than the scale of their observation, and studies formally directed at three, or even two adjacent scales are rare. To emphasize the importance of relating mechanisms to coarser scale function, Tree Physiology will highlight papers doing so particularly well as feature papers.
期刊最新文献
Changes in morphological and physiological traits of urban trees in response to elevated temperatures within an Urban Heat Islands. Hydraulic and structural traits of trees across light gradients in the Amazon secondary forest. Variance and variability in Tree Physiology. Capturing drought stress signals: The potential of dendrometers for monitoring tree water status. A process-based model of climate-driven xylogenesis and tree-ring formation in broad-leaved trees (BTR).
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