Wang Chuankuan, Bond-Lamberty Ben, Gower Stith T
Department of Forest Ecology and Management, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI, 53706, USA.
Oecologia. 2002 Aug;132(3):374-381. doi: 10.1007/s00442-002-0987-4. Epub 2002 Aug 1.
Carbon dioxide flux from coarse woody debris (CWD) is an important source of CO in forests with moderate to large amounts of CWD. A process-based understanding of environmental controls on CWD CO flux (R ) is needed to accurately model carbon exchange between forests and the atmosphere. The objectives of this study were to: (1) use a laboratory incubation factorial experiment to quantify the effect of temperature (T ), water content (W ), decay status, and their interactions on R for black spruce [Picea mariana (Mill.) BSP] CWD; (2) measure and model spatial and temporal dynamics in T for a boreal black spruce fire chronosequence; and (3) validate the R model with field measurements, and quantify potential errors in estimating annual R from this model on various time steps. The R was positively correlated to T (R =0.37, P<0.001) and W (R =0.18, P<0.001), and an empirical R polynomial model that included T and W interactions explained 74% of the observed variation of R . The R estimates from the R model excellently matched the field measurements. Decay status of CWD significantly (P<0.001) affected R . The temperature coefficient (Q ) averaged 2.5, but varied by 141% across the 5-42°C temperature range, illustrating the potential shortcomings of using a constant Q . The CWD temperature was positively correlated to air temperature (R =0.79, P<0.001), with a hysteresis effect that was correlated to CWD decay status and stand leaf area index . Ignoring this temperature hysteresis introduced errors of -1% to +32% in annual R estimates. Increasing T modeling time step from hourly to daily or monthly introduced a 5-11% underestimate in annual R . The annual R values in this study were more than two-fold greater than those in a previous study, illustrating the need to incorporate spatial and temporal responses of R to temperature and water content into models for long-term R estimation in boreal forest ecosystems.
在具有中等到大量粗木质残体(CWD)的森林中,来自粗木质残体的二氧化碳通量是森林中二氧化碳的重要来源。需要基于过程理解环境对粗木质残体二氧化碳通量(R)的控制,以便准确模拟森林与大气之间的碳交换。本研究的目的是:(1)使用实验室培养析因实验来量化温度(T)、含水量(W)、腐烂状态及其相互作用对黑云杉[Picea mariana (Mill.) BSP]粗木质残体R的影响;(2)测量并模拟北方黑云杉火灾时间序列中T的时空动态;(3)用实地测量验证R模型,并量化在不同时间步长下从该模型估算年R时的潜在误差。R与T呈正相关(R = 0.37,P < 0.001),与W也呈正相关(R = 0.18,P < 0.001),一个包含T和W相互作用的经验性R多项式模型解释了观测到的R变化的74%。从R模型得到的R估算值与实地测量结果非常吻合。粗木质残体的腐烂状态对R有显著影响(P < 0.001)。温度系数(Q)平均为2.5,但在5 - 42°C的温度范围内变化了141%,这说明了使用恒定Q的潜在缺点。粗木质残体温度与气温呈正相关(R = 0.79,P < 0.001),存在与粗木质残体腐烂状态和林分叶面积指数相关的滞后效应。忽略这种温度滞后会在年R估算中引入 - 1%至 + 32%的误差。将T建模时间步长从每小时增加到每日或每月会导致年R低估5 - 11%。本研究中的年R值比之前的研究高出两倍多,这表明在北方森林生态系统中进行长期R估算的模型中,需要纳入R对温度和含水量的时空响应。