文献类型：期刊文献

英文题名：Interannual Variation of Transpiration and Its Modeling of a Larch Plantation in Semiarid Northwest China

作者：Wang, Yanbing[1,2];Wang, Yanhui[1];Li, Zhenhua[1,3];Yu, Pengtao[1];Han, Xinsheng[1,4]

第一作者：Wang, Yanbing

通讯作者：Wang, YH[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm Natl Forestry & Gr, Beijing 100091, Peoples R China;[2]Forestry & Grassland Engn Stn Shanxi Prov, Taiyuan 030012, Peoples R China;[3]Xinxiang Univ, Sch Civil Engn & Architecture, Xinxiang 453600, Henan, Peoples R China;[4]Ningxia Acad Agr & Forestry Sci, Inst Desertificat Control, Yinchuan 750002, Ningxia, Peoples R China

第一机构：Chinese Acad Forestry, Res Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm Natl Forestry & Gr, Beijing 100091, Peoples R China

通讯机构：[1]corresponding author), Chinese Acad Forestry, Res Inst Forest Ecol Environm & Protect, Key Lab Forest Ecol & Environm Natl Forestry & Gr, Beijing 100091, Peoples R China.

年份：2020

卷号：11

期号：12

起止页码：1-24

外文期刊名：FORESTS

收录：;EI(收录号：20205009596672);Scopus(收录号：2-s2.0-85097228161);WOS:【SCI-EXPANDED(收录号:WOS:000601986600001)】；

基金：This research was funded by the National Key R&D Program of China with the grant number of 2016YFC0501603 and 2017YFC0504602, the Ningxia Hui Autonomous Region with the grant number of YES-16-12, and the Long-term Forest Ecological Station of Liupan Mountains.

语种：英文

外文关键词：canopy leaf area index; dryland region; larch plantation; potential evapotranspiration; soil moisture; transpiration model

摘要：Quantifying the variation of forest transpiration (T) is important not only for understanding the water and energy budget of forest ecosystems but also for the prediction, evaluation, and management of hydrological effects as well as many other ecosystem services of forests under the changes of climate, vegetation, and anthropological impacts. The accurate prediction of T, a key component of water used by forests, requires mechanism-based models describing the T response to environmental and canopy conditions. The daily T of a larch (Larix principis-rupprechtti) plantation was measured through monitoring the sap flow in the growing season (from May to September) of a dry year (2010), a normal year (2012), and a wet year (2014) at a shady slope in the semi-arid area of Liupan Mountains in northwest China. Meanwhile, the meteorological conditions, soil moisture, and forest canopy leaf area index (LAI) were monitored. To get a simple and easily applicable T model, the numerous influencing parameters were grouped into three factors: the atmospheric evapotranspiration demand indicated by the potential evapotranspiration (PET), the soil water supply ability indicated by the relative extractable soil water content (REW), and the vegetation transpiration capacity indicated by the forest canopy LAI. The T model was established as a continuous multiplication of the T response equations to individual factors, which were determined using the upper boundary lines of measured data. The effect of each factor on the T in a dry year (2010) or normal year (2012) was assessed by comparing the measured T in the baseline of the wet year (2014) and the model predicted T, which was calculated through inputting the actual data of the factor (i.e., PET) to be assessed in the dry or normal year and the measured data of other two factors (i.e., REW, LAI) in the baseline of the wet year. The results showed that the mean daily T was 0.92, 1.05, and 1.02 mm; and the maximum daily T was 1.78, 1.92, and 1.89 mm in 2010, 2012, and 2014, respectively. The T response follows a parabolic equation to PET, but a saturated exponential equation to REW and LAI. The T model parameters were calibrated using measured data in 2010 and 2012 (R-2 = 0.89, Nash coefficient = 0.88) and validated using measured data in 2014 satisfactorily (R-2 = 0.89, Nash coefficient = 0.79). It showed a T limitation in the dry year 2010 for all factors (18.5 mm by PET, 11.5 mm by REW, and 17.8 mm by LAI); while a promotion for PET (1.4 mm) and a limitation for REW (4.2 mm) and LAI (14.3 mm) in the normal year 2012. The daily T model established in this study can be helpful to assess the individual factor impact on T and improve the daily T prediction under changing environmental and canopy conditions.