2024-03-29T10:14:13Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1430002018-07-20T07:10:55Zcom_10261_88com_10261_8col_10261_341
00925njm 22002777a 4500
dc
Riera, Joan L.
author
Ballesteros, Enric
author
Ballesteros, Enric
author
Pulido, Cristina
author
Chappuis, Eglantine
author
Gacia, Esperança
author
2017
Recovery of the submersed vegetation is a
target for the management of soft-water shallow lakes
if they are to meet water quality and biodiversity
standards. Knowledge of patterns of macrophyte space
occupation and time to recovery is poor and mostly
restricted to free floating species or riparian vegetation.
Here we use pre- and post-impact monitoring
data over 20 years showing the evolution of submersed
aquatic vegetation of lake Baciver (Pyrenees),
and develop models to infer space occupation and time
to recovery. We use pre-impact macrophyte distribution
in relation to bathymetry-derived data to fit
logistic models to further simulate lake equilibrium
scenarios. Depth and slope were found to be the best
predictors, and models suggested that an assemblage
dominated by Sparganium angustifolium was, at time
of this study, over 95% of its potential distribution
area. A dense, newly grown monospecific Isoetes
lacustris population occupied\10% of its potential
area and model projections suggest that it will take
decades to recover. An I. lacustris residual population
remains below the estimated depth threshold for
survival and is bound to disappear. The lake appears
to evolve towards a new steady-state where the current
lake hypsography promotes the expansion of algae
(Nitella sp.) over angiosperms.
Hydrobiologia 794:139-151 (2017)
0018-8158
http://hdl.handle.net/10261/143000
10.1007/s10750-017-3087-5
Recovery
Isoetes lacustris
Sparganium angustifolium
Depth
Logistic models
Niche
Recovery of submersed vegetation in a high mountain oligotrophic soft-water lake over two decades after impoundment