Why size matters: the interactive influences of tree diameter distribution and sap flow parameters on upscaled transpiration

被引:27
作者
Berry, Z. Carter [1 ]
Looker, Nathaniel [2 ]
Holwerda, Friso [3 ]
Gomez Aguilar, Leon Rodrigo [4 ]
Ortiz Colin, Perla [4 ]
Gonzalez Martinez, Teresa [3 ]
Asbjornsen, Heidi [1 ]
机构
[1] Univ New Hampshire, Dept Nat Resources & Environm, 46 Coll Rd, Durham, NH 03824 USA
[2] Univ Minnesota Twin Cities, Dept Soil Water & Climate, 1991 Upper Buford Circle, St Paul, MN 55108 USA
[3] Univ Nacl Autonoma Mexico, Ave Univ 3000, Mexico City 04510, DF, Mexico
[4] Inst Ecol, Carretera Antigua Coatepec, Xalapa 91070, Veracruz, Mexico
基金
美国国家科学基金会;
关键词
sap flow; scaling; stand transpiration; tropical montane forests; HEAT PULSE METHOD; WATER-USE; STOMATAL CONDUCTANCE; SAPWOOD AREA; PHOTOSYNTHETIC RATES; CANOPY TRANSPIRATION; HYDRAULIC LIMITS; FLUX-DENSITY; PICEA-ABIES; FOREST;
D O I
10.1093/treephys/tpx124
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
In stands with a broad range of diameters, a small number of very large trees can disproportionately influence stand basal area and transpiration (Et). Sap flow-based Et estimates may be particularly sensitive to large trees due to nonlinear relationships between tree-level water use (Q) and tree diameter at breast height (DBH). Because Q is typically predicted on the basis of DBH and sap flow rates measured in a subset of trees and then summed to obtain Et, we assessed the relative importance of DBH and sap flow variables (sap velocity, V-s, and sapwood depth, R-s) in determining the magnitude of Et and its dependence on large trees in a tropical montane forest ecosystem. Specifically, we developed a data-driven simulation framework to vary the relationship between DBH and V-s and stand DBH distribution and then calculate Q, E-t and the proportion of E-t contributed by the largest tree in each stand. Our results demonstrate that variation in how R-s is determined in the largest trees can alter estimates up to 26% of E-t while variation in how V-s is determined can vary results by up to 132%. Taken together, these results highlight a great need to expand our understanding of water transport in large trees as this hinders our ability to predict water fluxes accurately from stand to catchment scales.
引用
收藏
页码:263 / 275
页数:13
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