Estimates of transpiration are often needed for hydrological management in
wetlands. A new and simple method, using a portable steady-state porometer,
is presented for estimating transpiration in three aquatic emergent macrop
hytes (reed, cut-sedge, and cattail). The method was established on the bas
is of the relationships between transpiration, solar radiation, relative hu
midity and air temperature. By assessing relationships between all variable
s in piecewise linear regressions with breakpoint, water loss by transpirat
ion can be estimated. The regression equations are calculated from direct o
bservations including daily averages of climatic variables. Other data used
in the model are area-defined leaf density of macrophytes and yearly macro
phyte cover. The results of this method in comparison with literature trans
piration data confirm the importance of transpiration in the water balance
in aquatic ecosystems. The advantage of this method relies on the possibili
ty to determine the physiological variability of transpiration in relation
to climatic variables determined in situ. This permits a closer approximati
on of processes taking place in nature. Given that the required information
is easily obtainable and that good estimates of transpiration in emergent
macrophytes are provided, the method serves as a valuable tool for wetland
hydrology management.