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阿迪朗达克山脉中人工种植的糖枫(糖槭)的树冠结构。

Crown architecture of stand-grown sugar maple (Acer saccharum Marsh.) in the Adirondack Mountains.

作者信息

Tucker G F, Lassoie J P, Fahey T J

机构信息

Department of Natural Resources, Fernow Hall, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA.

出版信息

Tree Physiol. 1993 Oct;13(3):297-310. doi: 10.1093/treephys/13.3.297.

Abstract

Leaf and crown morphology of shade-tolerant sugar maple (Acer saccharum Marsh.) were examined to test the hypotheses (1) that leaf area exhibits significant plasticity both within and between crown classes and individual tree crowns and (2) that leaf area is accurately predicted from estimates of crown volume. A total of 18 trees, ranging from 3.3 to 43.4 cm dbh, were felled and dissected into upper, middle, lower, and below-crown layers, for measurements of leaf, bark, and xylem dimensions. For dominant trees only, bark thickness and xylem radii were higher within the crown than below the crown. Cumulative leaf area index increased with decreasing stratum height at similar rates in all trees, except for two trees that were located in the understory. Area leaf weight declined with decreasing stratum height within the crown of all except four overstory trees. These four trees showed an increase with decreasing stratum height, i.e., leaves were heavier per unit area in the lower crown stratum and below the crown than they were at mid-crown. Within-tree leaf area density was usually higher in the upper crown of overstory trees and in the lower crown of understory trees. Total crown volume was the best predictor of whole-tree leaf area, but it was only slightly better than dbh.

摘要

对耐荫糖枫(糖槭)的叶片和树冠形态进行了研究,以检验以下假设:(1)叶面积在树冠层级之间以及单个树冠内部和之间均表现出显著的可塑性;(2)叶面积可通过树冠体积估计值准确预测。总共砍伐了18棵胸径在3.3至43.4厘米之间的树木,并将其分解为树冠上层、中层、下层和树冠以下部分,用于测量叶片、树皮和木质部尺寸。仅对于优势树而言,树冠内的树皮厚度和木质部半径高于树冠以下。除了两棵位于林下的树之外,所有树木的累积叶面积指数均随着树高降低以相似的速率增加。除了四棵上层树木之外,所有树木树冠内的叶面积重量均随着树高降低而下降。这四棵树表现出叶面积重量随树高降低而增加,即树冠下层和树冠以下单位面积的叶片比树冠中部更重。上层树木树冠上部以及下层树木树冠下部的树内叶面积密度通常更高。树冠总体积是整棵树叶面积的最佳预测指标,但仅略优于胸径。

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