Published Date
, Volume 21, Issue 4, pp 151–160
Original article
Cite this article as:
Chiu, CW., Kume, T., Komatsu, H. et al. J For Res (2016) 21: 151. doi:10.1007/s10310-016-0525-6
Author
Stand transpiration (E) estimated using the sap flux methods is affected by the azimuthal, radial, and tree-to-tree variations of sap flux. Although several studies have examined the relative importance of the three variations in estimating E, the seasonality of the three variations remains unknown. In the current study, we attempted to clarify whether the relative importance of these three variations could show seasonal changes. Using sap flux data measured in a subtropical cloud forest from August 2010 to July 2011, we calculated the differences resulting from omitting the three variations in estimating E. The effects of the three variations in estimating E showed seasonality. The azimuthal and tree-to-tree variations were more pronounced during winter, whereas the radial variation was more pronounced during summer. However, the effect of tree-to-tree variation was consistently much larger than the other two variations throughout the study period. The tree-to-tree variation is more important in estimating E monthly, seasonally and annually than both the azimuthal and radial variations, although all three variations have shown seasonality. In addition, the sensor allocation for summer would be acceptable for the practical estimation of E if aiming at the long time scale.
References
For further details log on website :
http://link.springer.com/article/10.1007/s10310-016-0528-3
, Volume 21, Issue 4, pp 151–160
Original article
- First Online:
- 29 April 2016
DOI: 10.1007/s10310-016-0525-6
Author
Stand transpiration (E) estimated using the sap flux methods is affected by the azimuthal, radial, and tree-to-tree variations of sap flux. Although several studies have examined the relative importance of the three variations in estimating E, the seasonality of the three variations remains unknown. In the current study, we attempted to clarify whether the relative importance of these three variations could show seasonal changes. Using sap flux data measured in a subtropical cloud forest from August 2010 to July 2011, we calculated the differences resulting from omitting the three variations in estimating E. The effects of the three variations in estimating E showed seasonality. The azimuthal and tree-to-tree variations were more pronounced during winter, whereas the radial variation was more pronounced during summer. However, the effect of tree-to-tree variation was consistently much larger than the other two variations throughout the study period. The tree-to-tree variation is more important in estimating E monthly, seasonally and annually than both the azimuthal and radial variations, although all three variations have shown seasonality. In addition, the sensor allocation for summer would be acceptable for the practical estimation of E if aiming at the long time scale.
References
- Adelman JD, Ewers BE, Mackay DS (2008) Use of temporal patterns in vapor pressure deficit to explain spatial autocorrelation dynamics in tree transpiration. Tree Physiol 28:647–658CrossRefPubMedGoogle Scholar
- Barij N, Čermák J, Stokes A (2011) Azimuthal variations in xylem structure and water relations in cork oak(Quercus suber). IAWA J 32:25–40CrossRefGoogle Scholar
- Čermák J, Cienciala E, Kučera J, Lindroth A, Bednářová E (1995) Individual variation of sap-flow rate in large pine and spruce trees and stand transpiration: a pilot study at the central NOPEX site. J Hydrol 168:17–27CrossRefGoogle Scholar
- Cohen Y, Cohen S, Cantuarias-Aviles T, Schiller G (2008) Variations in the radial gradient of sap velocity in trunks of forest and fruit trees. Plant Soil 305:49–59. doi:10.1007/s11104-007-9351-0CrossRefGoogle Scholar
- Dawson TE (1996) Determining water use by trees and forests from isotopic, energy balance and transpiration analyses the roles of tree size and hydraulic lift. Tree Physiol 16:263–272CrossRefPubMedGoogle Scholar
- Delzon S, Sartore M, Granier A, Loustau D (2004) Radial profiles of sap flow with increasing tree size in maritime pine. Tree Physiol 24:1285–1293CrossRefPubMedGoogle Scholar
- Dunn GM, Connor DJ (1993) An analysis of sap flow in mountain ash (Eucalyptus regnans) forests of different age. Tree Physiol 13:321–336CrossRefPubMedGoogle Scholar
- Dye PJ, Olbrich BW, Poulter AG (1991) The influence of growth rings in Pinus patula on heat pulse velocity and sap flow measurement. J Exp Bot 42:867–870CrossRefGoogle Scholar
- Fernándeza JE, Palomoa MJ, Díaz-Espejoa A, Clothierb BE, Greenb SR, Giróna IF, Moreno F (2001) Heat-pulse measurements of sap flow in olives for automating irrigation: tests, root flow and diagnostics of water stress. Agr For Meteorol 51:99–123Google Scholar
- Fiora A, Cescatti A (2006) Diurnal and seasonal variability in radial distribution of sap flux density implications for estimating stand transpiration. Tree Physiol 26:1217–1225CrossRefPubMedGoogle Scholar
- Ford CR, Goranson CE, Mitchell RJ, Will RE, Teskey RO (2004) Diurnal and seasonal variability in the radial distribution of sap flow predicting total stem flow in Pinus taeda trees. Tree Physiol 24:951–960CrossRefGoogle Scholar
- Ford CR, Hubbard RM, Kloeppel BD, Vose JM (2007) A comparison of sap flux-based evapotranspiration estimates with catchment-scale water balance. Agr For Meteorol 145:176–185. doi:10.1016/j.agrformet.2007.04.010CrossRefGoogle Scholar
- Foster P (2001) The potential negative impacts of global climate change on tropical montane cloud forests. Earth Sci Rev 55:73–106. doi:10.1016/S0012-8252(01)00056-3CrossRefGoogle Scholar
- Gebauer T, Horna V, Leuschner C (2008) Variability in radial sap flux density patterns and sapwood area among seven co-occurring temperate broad-leaved tree species. Tree Physiol 28:1821–1830CrossRefPubMedGoogle Scholar
- Granier A (1987) Evaluation of transpiration in a Douglas-fir stand by means of sap flow measurements. Tree Physiol 3:309–320CrossRefPubMedGoogle Scholar
- Hatton TJ, Moore SJ, Reece PH (1995) Estimating stand transpiration in a Eucalyptus populnea woodland with the heat pulse method—measurement errors and sampling strategies. Tree Physiol 15:219–227CrossRefPubMedGoogle Scholar
- Kelliher FM, Köstner BMM, Hollinger DY, Byers JN, Hunt JE, McSeveny TM, Meserth R, Weir PL, Schulze E-D (1992) Evaporation, xylem sap flow, and tree transpiration in a New Zealand broad-leaved forest. Agr For Meteorol 62:53–73CrossRefGoogle Scholar
- Kikim A, Yadava PS (2001) Phenology of tree species in subtropical forests of Manipur in north eastern India. Trop Ecol 42:269–276Google Scholar
- Komatsu H, Tanaka N, Kume T (2007) Do coniferous forests evaporate more water than broad-leaved forests in Japan? J Hydrol 336:361–375. doi:10.1016/j.jhydrol.2007.01.009CrossRefGoogle Scholar
- Komatsu H, Shinohara Y, Kumagai T, Kume T, Tsuruta K, Xiang Y, Ichihashi R, Tateishi M, Shimizu T, Miyazawa Y, Nogata M, Laplace S, Han T, Chiu CW, Ogura A, Saito T, Otsuki K (2014) A model relating transpiration for Japanese cedar and cypress plantations with stand structure. For Ecol Manage 334:301–312CrossRefGoogle Scholar
- Kumagai T, Aoki S, Nagasawa H, Mabuchi T, Kubota K, Inoue S, Utsumi Y, Otsuki K (2005) Effects of tree-to-tree and radial variations on sap flow estimates of transpiration in Japanese cedar. Agr For Meteorol 135:110–116. doi:10.1016/j.agrformet.2005.11.007CrossRefGoogle Scholar
- Kumagai T, Aoki S, Shimizu T, Otsuki K (2007) Sap flow estimates of stand transpiration at two slope positions in a Japanese cedar forest watershed. Tree Physiol 27:161–168CrossRefPubMedGoogle Scholar
- Kumagai T, Tateishi M, Shimizu T, Otsuki K (2008) Transpiration and canopy conductance at two slope positions in a Japanese cedar forest watershed. Agr For Meteorol 148:1444–1455. doi:10.1016/j.agrformet.2008.04.010CrossRefGoogle Scholar
- Kume T, Tsuruta K, Komatsu H, Kumagai T, Higashi N, Shinohara Y, Otsuki K (2010) Effects of sample size on sap flux-based stand-scale transpiration estimates. Tree Physiol 30:129–138. doi:10.1093/treephys/tpp074CrossRefPubMedGoogle Scholar
- Kume T, Otsuki K, Du S, Yamanaka N, Wang Y-L, Liu G-B (2012) Spatial variation in sap flow velocity in semiarid region trees: its impact on stand-scale transpiration estimates. Hydrol Process 26:1161–1168. doi:10.1002/hyp.8205CrossRefGoogle Scholar
- Lopez-Bernal A, Alcantara E, Testi L, Villalobos FJ (2010) Spatial sap flow and xylem anatomical characteristics in olive trees under different irrigation regimes. Tree Physiol 30:1536–1544. doi:10.1093/treephys/tpq095CrossRefPubMedGoogle Scholar
- Lu P, Muller WJ, Chacko EK (2000) Spatial variations in xylem sap flux density in the trunk of orchard-grown, mature mango trees under changing soil water conditions. Tree Physiol 20:683–692CrossRefPubMedGoogle Scholar
- Lu P, Urban L, Zhao P (2004) Granier’s thermal dissipation probe (TDP) method for measuring sap flow in trees: theory and practice. Acta Botanica Sinica 46:631–646Google Scholar
- Marques MCM, Roper JJ, Salvalaggio APB (2004) Phenological patterns among plant life-forms in a subtropical forest in southern Brazil. Plant Ecol 173:203–213CrossRefGoogle Scholar
- Nadezhdina N, Čermák J (2003) Instrumental methods for studies of structure and function of root systems of large trees. J Exp Bot 54:1511–1521CrossRefPubMedGoogle Scholar
- Oren R, Phillips N, Katul G, Ewers BE, Pataki DE (1998) Scaling xylem sap flux and soil water balance and calculating variance: a method for partitioning water flux in forests. Ann For Sci 55:191–216CrossRefGoogle Scholar
- Phillips NG, Oren R, Zimmermann R (1996) Radial patterns of xylem sap flow in non-, diffuse- and ringporous tree species. Plant, Cell Environ 19:983–990CrossRefGoogle Scholar
- Priestley C, Taylor R (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100:81–92CrossRefGoogle Scholar
- Sato T, Oda T, Igarashi Y, Suzuki M, Uchiyama Y (2012) Circumferential sap flow variation in the trunks of Japanese cedar and cypress trees growing on a steep slope. Hydrol Res Lett 6:104–108CrossRefGoogle Scholar
- Shinohara Y, Tsuruta K, Ogura A, Noto F, Komatsu H, Otsuki K, Maruyama T (2013) Azimuthal and radial variations in sap flux density and effects on stand-scale transpiration estimates in a Japanese cedar forest. Tree Physiol 33:550–558CrossRefPubMedGoogle Scholar
- Tateishi M, Kumagai T, Utsumi Y, Umebayashi T, Shiiba Y, Inoue K, Kaji K, Cho K, Otsuki K (2008) Spatial variations in xylem sap flux density in evergreen oak trees with radial-porous wood: comparisons with anatomical observations. Trees 22:23–30CrossRefGoogle Scholar
- Tsuruta K, Kume T, Komatsu H, Higashi N, Umebayashi T, Kumagai T, Otsuki K (2010) Azimuthal variations of sap flux density within Japanese cypress xylem trunks and their effects on tree transpiration estimates. J For Res 15:398–403CrossRefGoogle Scholar
- Wey TH, Lai YJ, Chang CS, Shen CW, Hong CY, Wang YN, Chen MC (2011) Preliminary studies on fog characteristics at Xitou region of central Taiwan. J Exp For Nat Taiwan Univ 25:149–160 (in Chinese with English abstract)Google Scholar
- Wullschleger SD, Hanson PJ, Todd DE (2001) Transpiration from a multi-species deciduous forest as estimated by xylem sap flow techniques. For Ecol Manag 143:205–213CrossRefGoogle Scholar
For further details log on website :
http://link.springer.com/article/10.1007/s10310-016-0528-3
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