Research output: Contribution to journal › Article › peer-review
The cycle of mussels: long-term dynamics of mussel beds on intertidal soft bottoms at the White Sea. / Khaitov, Vadim; Lentsman, Natalia V.
In: Hydrobiologia, Vol. 781, No. 1, 2016, p. 161-180.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - The cycle of mussels: long-term dynamics of mussel beds on intertidal soft bottoms at the White Sea
AU - Khaitov, Vadim
AU - Lentsman, Natalia V.
N1 - Khaitov, V. M., & Lentsman, N. V. (2016). The cycle of mussels: long-term dynamics of mussel beds on intertidal soft bottoms at the White Sea. hydrobiologia, 781(1), 161-180.
PY - 2016
Y1 - 2016
N2 - Dense blue mussel assemblages are unstable, their structure changing from year to year. Three types of models can be used to describe this instability: (1) “exogenous” model based on regional temperature fluctuations, (2) “endogenous” deterministic model associated with negative impact of adult mussels on juveniles and (3) “density-linked stochasticity” model based on positive feedbacks resulting in overcrowding and destabilizing the settlement. We compared predictions deduced from these models with a time series based on the results of long-term (18 years) monitoring of abundance and demographic structure of three mussel beds at the White Sea. Most of our findings agreed well with the predictions deduced from the endogenous model. In particular, (1) long-term changes in mussel abundance and demographic structure were strictly cyclic, with non-matching periods (5–9 years) at different sites; (2) stages with the dominance of old mussels alternated with those where juveniles dominated and (3) some signals of de
AB - Dense blue mussel assemblages are unstable, their structure changing from year to year. Three types of models can be used to describe this instability: (1) “exogenous” model based on regional temperature fluctuations, (2) “endogenous” deterministic model associated with negative impact of adult mussels on juveniles and (3) “density-linked stochasticity” model based on positive feedbacks resulting in overcrowding and destabilizing the settlement. We compared predictions deduced from these models with a time series based on the results of long-term (18 years) monitoring of abundance and demographic structure of three mussel beds at the White Sea. Most of our findings agreed well with the predictions deduced from the endogenous model. In particular, (1) long-term changes in mussel abundance and demographic structure were strictly cyclic, with non-matching periods (5–9 years) at different sites; (2) stages with the dominance of old mussels alternated with those where juveniles dominated and (3) some signals of de
KW - MytilusMussel bedsPopulation dynamicsLong-term changes
U2 - https://doi.org/10.1007/s10750-016-2837-0
DO - https://doi.org/10.1007/s10750-016-2837-0
M3 - Article
VL - 781
SP - 161
EP - 180
JO - Hydrobiologia
JF - Hydrobiologia
SN - 0018-8158
IS - 1
ER -
ID: 7593502