气候变化领域集成服务门户(CCPortal): Estimate canopy transpiration in larch plantations via the interactions among reference evapotranspiration, leaf area index, and soil moisture

CCPortal

DOI	10.1016/j.foreco.2020.118749
	Estimate canopy transpiration in larch plantations via the interactions among reference evapotranspiration, leaf area index, and soil moisture
	Wang L.; Liu Z.; Guo J.; Wang Y.; Ma J.; Yu S.; Yu P.; Xu L.
发表日期	2020
ISSN	0378-1127
英文摘要	Accurately modelling and predicting forest transpiration under changing environment and canopy structure are essential for understanding the interactions among the atmosphere, soil, and vegetation and precisely integrating forest water management. To enhance water management in larch plantations, the canopy transpiration (T), reference evapotranspiration (ETo), canopy leaf area index (LAI), and relative extractable water (REW) of the 0–60 cm soil layer were synchronously monitored during the growing season (May–September) in 2016 and 2018. The response functions of the basal crop coefficient (Kcb) in an ETo-based transpiration model to individual driving factors (LAI and REW) were determined using upper boundary lines and then coupled to form the T model using the crop coefficient method. The results showed that (1) the mean (and range) of the daily canopy T was 0.83 (0.003–1.60) mm·d−1 in dry year of 2016, and 0.70 (0.02–1.55) mm·d−1 in wet year of 2018. (2) The Kcb increased with rising LAI, following a positive linear relation. With rising REW, Kcb first increased rapidly and then stabilized gradually following a saturated exponential function. (3) The daily T model was fitted as T=(0.056 + 0.083(1-exp(-3.915REW))) (0.961LAI) ETo and had good performance in both the calibration period (R2 = 0.78; NSE = 0.77) and validation period (R2 = 0.85; NSE = 0.75). (4) The relative importance of ETo, LAI, and REW on T were analysed based on the developed T model. The results showed that the average contribution of ETo, LAI, and REW to T differed in various years. The dominant factor contributing to the changes in T was ETo followed by REW and LAI in dry year of 2016 and LAI followed by ETo and REW in wet year of 2018 compared with the reference T under the long-term means of the daily ETo, LAI, and REW. The newly developed simple T model in this study represents a key step for the comprehensive integrated management of forests and water and accurately predicts the response of the daily canopy T to varying LAI values under a given REW and ETo, which is helpful for designing precise adjustments of stand structure. © 2020 Elsevier B.V.
英文关键词	Basal crop coefficient; Canopy transpiration; Leaf area index; Reference evapotranspiration; Soil water availability
语种	英语
scopus关键词	Crops; Exponential functions; Forestry; Soil moisture; Transpiration; Water management; Basal crop coefficients; Calibration periods; Canopy transpirations; Changing environment; Forest transpirations; Integrated management; Reference evapotranspiration; Transpiration modeling; Evapotranspiration
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155646
作者单位	School of Soil and Water Conservation, Beijing Forestry University, Beijing, 100083, China; Key Laboratory of Forestry Ecology and Environment of the National Forestry and Grassland Administration of China, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, 100091, China
推荐引用方式 GB/T 7714	Wang L.,Liu Z.,Guo J.,et al. Estimate canopy transpiration in larch plantations via the interactions among reference evapotranspiration, leaf area index, and soil moisture[J],2020.
APA	Wang L..,Liu Z..,Guo J..,Wang Y..,Ma J..,...&Xu L..(2020).Estimate canopy transpiration in larch plantations via the interactions among reference evapotranspiration, leaf area index, and soil moisture.Forest Ecology and Management.
MLA	Wang L.,et al."Estimate canopy transpiration in larch plantations via the interactions among reference evapotranspiration, leaf area index, and soil moisture".Forest Ecology and Management (2020).