Simulating gross primary production across a chronosequence of coastal Douglas-fir forest stands with a production efficiency model

被引:14
|
作者
Hember, Robbie A. [1 ]
Coops, Nicholas C. [1 ]
Black, T. Andy [2 ]
Guy, Robert D. [3 ]
机构
[1] Univ British Columbia, Fac Forestry, Dept Forest Resources Management, Vancouver, BC V6T 1Z4, Canada
[2] Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V6T 1A1, Canada
[3] Univ British Columbia, Fac Forestry, Dept Forest Sci, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Production efficiency model; Light use efficiency; Gross primary production; Model calibration; Coastal Douglas-fir; Environmental stress; LIGHT-USE EFFICIENCY; RADIATION-USE EFFICIENCY; NET PRIMARY PRODUCTION; WATER-VAPOR EXCHANGE; CARBON-DIOXIDE; OLD-GROWTH; ECOSYSTEM PRODUCTIVITY; WESTERN HEMLOCK; SATELLITE; CANOPY;
D O I
10.1016/j.agrformet.2009.11.004
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Eddy-covariance (EC) measurements in three different-aged Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco var. menziesii) stands were used to calibrate a production efficiency model (PEM) and explore the sources of error in simulated annual gross primary production (P-g). Parameters were derived on a daily time scale, assessing absorbed photosynthetically active radiation (Q(a)), maximum gross photosynthetic efficiency (epsilon(g) (max)), and functions of environmental stress. Despite similar climate, epsilon(g max) varied between sites in correspondence with measurements of site index derived from forest inventory, suggesting that landscape variation of epsilon(g max) is controlled mainly by non-climatic factors and ranges approximately between 1.28 and 4.42 g C MJ(-1). Within stands, daily variation of P-g was most strongly controlled by decreasing eg with increasing Q(a). We therefore devised a method of incorporating the nonlinear light response (NLR) that is apparent within stands into the model, while preserving the linearity in the relationship between annual P-g and Q(a) across stands that is assumed in conventional PEMs. The ability to match observed seasonal and inter-annual variability of Pg improved by taking into account antecedent effects of cumulative heat on plant development. An ecosystem-specific model (i.e., fitted collectively to all stands) explained 81,95, and 97% of the monthly variation of P-g in regenerating, juvenile, and mature stands, respectively. The model was able to collectively explain 96% of variability of annual total P-g with a root mean squared error 130 g C m(-2) yr(-1), constituting 6% of the mean and 113% of the standard deviation at the mature site. The capacity to predict inter-annual variability of P-g was strongly limited by discrepancies that persisted for days-to-weeks at a time, which implies that poor model skill was caused, to uncertain degrees, by inadequate representation of acclimation to environmental stress, and discrepancies between measurement and footprint-weighted conditions. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:238 / 253
页数:16
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