10.5061/DRYAD.7N474B1
Capdevila, Pol
University of Oxford
University of Barcelona
Hereu, Bernat
University of Barcelona
Salguero-Gómez, Roberto
University of Queensland
University of Sheffield
University of Oxford
Max Planck Institute for Demographic Research
Rovira, Graciel·la
University of Barcelona
Medrano, Alba
University of Barcelona
Cebrian, Emma
University of Girona
Garrabou, Joaquim
Aix-Marseille University
Kersting, Diego K.
University of Barcelona
Freie Universität Berlin
Linares, Cristina
University of Barcelona
Data from: Warming impacts on early life stages increase the vulnerability
and delay the population recovery of a long-lived habitat-forming
macroalga
Dryad
dataset
2018
Demography
human impacts
quasi-extinction
Seaweeds
stress interactions
recovery
Population Ecology
2019-10-15T00:00:00Z
en
https://doi.org/10.1111/1365-2745.13090
19295 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
1. Understanding the combined effects of global and local stressors is
crucial for conservation and management, yet challenging due to the
different scales at which these stressors operate. Here we examine the
effects of one of the most pervasive threats to marine biodiversity, ocean
warming, on the early life stages of the habitat-forming macroalga
Cystoseira zosteroides, its long-term consequences for population
resilience and its combined effect with physical stressors. 2. First, we
performed a controlled laboratory experiment exploring the impacts of
warming on early life stages. Settlement and survival of germlings were
measured at 16ºC (control), 20ºC and 24ºC and both processes were affected
by increased temperatures. Then, we integrated this information into
stochastic, density-dependent integral projection models (IPM). 3.
Recovery time after a minor disturbance significantly increased in warmer
scenarios. The stochastic population growth rate (λs) was not strongly
affected by warming alone, as high adult survival compensated for
thermal-induced recruitment failure. Nevertheless, warming coupled with
recurrent physical disturbances had a strong impact on λs and population
viability. 4. Synthesis: The impact of warming effects on early stages may
significantly decrease the natural ability of habitat-forming algae to
rebound after major disturbances. These findings highlight that, in a
global warming context, populations of deep-water macroalgae will become
more vulnerable to further disturbances, and stress the need to
incorporate abiotic interactions into demographic models.
CzIPMR code to estimate the recovery time for Cystoseira zosteroides
populations after a major disturbance at different temperature scenarios
treatments. In addition, stochastic population growth rate (λs) and
quasi-extinction probability at increasing frequency of two major
disturbances at increasing temperature scenarios. These analyses
correspond to the figures 4 and 5 of Capdevila et al. 2018
JEcol.MixedEffectsparamsParameter values needed for the Integral
Projection Models used to model the life cycle and population dynamics of
Cystoseira zosteroides. This includes seven demographic processes:
1.survival (σ), 2.growth (γ), 3.fertility (φ), 4.recruits per capita
(δ(N)), 5.probability of settlement of recruits (ε), 6.early survival of
recruits (σs) and 7.recruits size probability
distribution.IPMFunctionsFunctions required to run the CzIPM.R script.
This script contains the description of the growth, survival and fecundity
functions used to build the IPMs.1. The best-fitted model for survival (σ)
was a logistic mixed effect model including size as fixed factors and
population nested in years as a random factor. 2. For growth (γ), the
best-fitted model was a linear mixed effect model, with size as fixed
factor and population nested in year as random factor. 3. Fertility
(φ(z)), was estimated as the relation between reproductive status
(reproductive vs. non-reproductive) and size with a binomial regression.
4. Recruitment per capita (δ(N)) is density-dependent in C. zosteroides
(Capdevila et al., 2015), so a generalized linear model with Poisson error
distribution and a log-link function was fitted, correlating the
recruit:adult ratio as a function of the adult density. 5. To model the
effect of temperature on the probability of settlement (ε) we used a
generalized linear mixed models (GLMM), with a Poisson error distribution
and a logit link function, the independent variable was the number of
zygotes, temperature was treated as a fixed variable and we used the ID of
each quadrat of the Petri dishes as a random variable. 6. To model the
effect of temperature and time (fixed factors) on germling survival (σs),
we used a GLMM with a binomial error distribution and a logit link
function, with the ID of each quadrat of each Petri dish as a random
variable to deal with the lack of independence between observations
repeated at different times and a binomial error distribution was assumed
to deal with the binary response variable (survive vs. die). 7. The size
distribution of recruits was estimated as a normal probability function.
In addition, the function required to project the density-dependent and
stochastic IPMs is provided.modsumDensity-dependent function, relating the
number of Cystoseira zosteroides recruits with the number of adults. It is
a generalized linear model (GLM) with Poisson error distribution and a
log-link function, correlating the recruit:adult ratio with the adult
density. This file is needed to run the code CzIPM.R.settData on the
impacts of temperature (16ºC, 20ºC and 24ºC) on the settlement of
Cystoseira zosteroides early stages. This file is needed to perform the
projections in CzIPM.R code.survrecData on the impacts of the temperature
treatments (16ºC, 20ºC and 24ºC) to early survival of Cystoseira
zosteroides. This file is required to run the code CzIPM.R.
NW Mediterranean
Montgrí Illes Medes and Baix Ter Natural Park
Columbretes Islands Marine Reserve
Cap de Creus Natural Park