Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 191-202 |
| Number of pages | 12 |
| Journal | Aquatic Sciences |
| Volume | 72 |
| DOIs | |
| Publication status | Published - 2010 |
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Relative effects of local and landscape factors on wetland algal biomass over a salinity gradient. / Cant, Belinda; MAC NALLY, Ralph; THOMSON, Jim; Beardall, John.
In: Aquatic Sciences, Vol. 72, 2010, p. 191-202.Research output: Contribution to journal › Article
TY - JOUR
T1 - Relative effects of local and landscape factors on wetland algal biomass over a salinity gradient
AU - Cant, Belinda
AU - MAC NALLY, Ralph
AU - THOMSON, Jim
AU - Beardall, John
PY - 2010
Y1 - 2010
N2 - Wetlands in south-eastern Australia and other arid regions of the world are experiencing increases in salinity due to dryland salinization and climate change. We investigated changes in wetland ecological function, measured as phytoplankton and benthic algal Chl a, over a large salinity gradient (0.047–226 mS cm-1) and in relation to several local water chemistry variables thatmay be important predictors of algal biomass. We investigated the relative importance of landscape variables that may affect input pollution and hydrology of wetlands at four spatial scales (100, 500, 1,000 and 5000 m). We explored the strength and form of the relationships between algal biomass and local and landscape predictors with emphasis on the effects of local and landscape salinity. We found local variables were more important than landscape variables in influencing algal biomass. We also found salinity of wetlands was not a good predictor of phytoplankton biomass but it did predict benthic algal biomass.
AB - Wetlands in south-eastern Australia and other arid regions of the world are experiencing increases in salinity due to dryland salinization and climate change. We investigated changes in wetland ecological function, measured as phytoplankton and benthic algal Chl a, over a large salinity gradient (0.047–226 mS cm-1) and in relation to several local water chemistry variables thatmay be important predictors of algal biomass. We investigated the relative importance of landscape variables that may affect input pollution and hydrology of wetlands at four spatial scales (100, 500, 1,000 and 5000 m). We explored the strength and form of the relationships between algal biomass and local and landscape predictors with emphasis on the effects of local and landscape salinity. We found local variables were more important than landscape variables in influencing algal biomass. We also found salinity of wetlands was not a good predictor of phytoplankton biomass but it did predict benthic algal biomass.
KW - Wetlands
KW - Landscape
KW - Salinity
KW - Algae
KW - Bayesian model selection.
U2 - 10.1007/s00027-009-0119-x
DO - 10.1007/s00027-009-0119-x
M3 - Article
VL - 72
SP - 191
EP - 202
JO - Aquatic Sciences
JF - Aquatic Sciences
SN - 1015-1621
ER -