Male mating constraints affect mutual mate choice: Prudent male courting and sperm limited females

Costs of sperm production may lead to prudence in male spermallocation and also to male mate choice. Here, we develop a life history–based mutual mate choice model that takes into account the lost-opportunity costs for males from time out in sperm recovery and lets mate competition be determined by the prevailing mate choice strategies. We assume that high mating rate may potentially lead to sperm depletion in males, and that as a result, female reproduction may be limited by the availability of sperm. Increasing variation in male quality leads, in general, to increased selective mate choice by females, and vice versa. Lower-quality males may, however, gain access to more fecund higher-quality females by lowering their courting rate, thus increasing their sperm reserves. When faced with strong male competition for mates, low-quality males become less choosy, which leads to assortative mating for quality and an increased mating rate across all males. With assortative mating, the frequency of antagonistic interactions (sexual conflict) is reduced, allowing males to lower the time spent replenishing sperm reserves in order to increase mating rate. This in turn leads to lower sperm levels at mating and therefore could lead to negative effects on female fitness via sperm limitation

Recent geospatial dynamics of Terceira (Azores, Portugal) and the theoretical implications for the biogeography of active volcanic islands

Ongoing work shows that species richness patterns on volcanic oceanic islands are shaped by surface area changes driven by longer time scale (>1 ka) geological processes and natural sea level fluctuations. A key question is: what are the rates and magnitudes of the forces driving spatial changes on volcanic oceanic islands which in turn affect evolutionary and biogeographic processes? We quantified the rates of surface-area changes of a whole island resulting from both volcanogenic flows and sea level change over the last glacial-interglacial (GI) cycle (120 ka) for the volcanically active island of Terceira, (Azores, Macaronesia, Portugal). Volcanogenic activity led to incidental but long-lasting surface area expansions by the formation of a new volcanic cone and lava-deltas, whereas sea level changes led to both contractions and expansions of area. The total surface area of Terceira decreased by as much as 24% per time step due to changing sea levels and increased by 37% per time step due to volcanism per time step of 10 ka. However, while sea levels nearly continuously changed the total surface area, volcanic activity only impacted total surface area during two time steps over the past 120 ka. The surface area of the coastal and lowland region (here defined as area <300 m) was affected by sea level change (average change of 11% / 10 ka for 120–0 ka) and intra-volcanic change (average change of 17% / 10 ka for 120–0 ka). We discuss the biogeographic implications of the quantified dynamics, and we argue that surface area change is mainly driven by volcanic processes in the early stages of the island’s life cycle, while during the later stages, area change becomes increasingly affected by sea level dynamics. Both environmental processes may therefore affect biota differently during the life cycle of volcanic oceanic islands.S.J.N. received funding from the Portuguese National Funds, through Fundação para a Ciência e a Tecnologia (FCT), within the project UID/BIA/00329/2013 and the Research Fellowship PD/BD/114380/2016. S.P.A. acknowledges his research contract (IF/00465/2015) funded by the Portuguese Science Foundation (FCT). C.S.M. is benefiting from a PhD grant M3.1.a/F/100/2015 from FRCT/Açores 2020 by Fundo Regional para a Ciência e Tecnologia (FRCT). Financial support to R.A. was received from the Laboratory of Excellence ‘TULIP’ (PIA-10-LABX-41). This work was supported by FEDER funds through the Operational Programme for Competitiveness Factors – COMPETE and by National Funds through FCT under the UID/BIA/50027/2013, POCI-01-0145-FEDER-006821 and under DRCT-M1.1.a/005/Funcionamento-C-/2016 (CIBIO-A) project from FRCT. This work was also supported by FEDER funds (in 85%) and by funds of the Regional Government of the Azores (15%) through Programa Operacional Açores 2020, in the scope of the project “AZORESBIOPORTAL – PORBIOTA”: ACORES‑01‑0145-FEDER-000072.info:eu-repo/semantics/publishedVersio

simulations_source_code

simulations_source_cod

simul_DL

Code for simulation and diversity estimation. NOTE: Please use revised_simul_DL.zip and not simul_DL.zip. Version 1 was uploaded by mistake, and this is not the simulation code corresponding to the published paper. Version 2 is the correct simulation code

Data from: Adaptive radiation driven by the interplay of eco-evolutionary and landscape dynamics

We investigate an individual-based model of adaptive radiation based on the biogeographical changes of the Great African Lakes where cichlid fishes radiated. In our model, the landscape consists of a mosaic of three habitat types which may or may not be separated by geographic barriers. We study the effect of the alternation between allopatry and sympatry called landscape dynamics. We show that landscape dynamics can generate a significantly higher diversity than allopatric or sympatric speciation alone. Diversification is mainly due to the joint action of allopatric, ecological divergence, and of disruptive selection increasing assortative mating and allowing for the coexistence in sympatry of species following reinforcement or character displacement. Landscape dynamics possibly increase diversity at each landscape change. The characteristics of the radiation depend on the speed of landscape dynamics and of the number of geographically isolated regions at steady state. Under fast dynamics of a landscape with many fragments, the model predicts a high diversity, possibly subject to the temporary collapse of all species into a hybrid swarm. When fast landscape dynamics induce the recurrent fusion of several sites, diversity is moderate but very stable over time. Under slow landscape dynamics, diversification proceeds similarly, although at a slower pace

Data from: Adaptive radiation driven by the interplay of eco-evolutionary and landscape dynamics

We investigate an individual-based model of adaptive radiation based on the biogeographical changes of the Great African Lakes where cichlid fishes radiated. In our model, the landscape consists of a mosaic of three habitat types which may or may not be separated by geographic barriers. We study the effect of the alternation between allopatry and sympatry called landscape dynamics. We show that landscape dynamics can generate a significantly higher diversity than allopatric or sympatric speciation alone. Diversification is mainly due to the joint action of allopatric, ecological divergence, and of disruptive selection increasing assortative mating and allowing for the coexistence in sympatry of species following reinforcement or character displacement. Landscape dynamics possibly increase diversity at each landscape change. The characteristics of the radiation depend on the speed of landscape dynamics and of the number of geographically isolated regions at steady state. Under fast dynamics of a landscape with many fragments, the model predicts a high diversity, possibly subject to the temporary collapse of all species into a hybrid swarm. When fast landscape dynamics induce the recurrent fusion of several sites, diversity is moderate but very stable over time. Under slow landscape dynamics, diversification proceeds similarly, although at a slower pace

revised_simul_DL

Code for simulation and diversity estimation. NOTE: Please use revised_simul_DL.zip and not simul_DL.zip. Version 1 was uploaded by mistake, and this is not the simulation code corresponding to the published paper. Version 2 is the correct simulation code

Clade diversification dynamics and the biotic and abiotic controls of speciation and extinction rates

The history and patterns of species diversity are shaped by a variety of ecological and evolutionary factors. Here, the authors develop a computational model to predict clade diversification dynamics and rates of speciation and extinction under the influences of resource competition, genetic differentiation, and random landscape fluctuation

Matching habitat choice promotes species persistence under climate change

International audienceSpecies may survive under contemporary climate change by either shifting their range or adapting locally to the warmer conditions. Theoretical and empirical studies recently underlined that dispersal, the central mechanism behind these responses, may depend on the match between an individuals' phenotype and local environment. Such matching habitat choice is expected to induce an adaptive gene flow, but it now remains to be studied whether this local process could promote species' responses to climate change. Here, we investigate this by developing an individual-based model including either random dispersal or temperature-dependent matching habitat choice. We monitored population composition and distribution through space and time under climate change. Relative to random dispersal, matching habitat choice induced an adaptive gene flow that lessened spatial range loss during climate warming by improving populations' viability within the range (i.e. limiting range fragmentation) and by facilitating colonization of new habitats at the cold margin. The model even predicted range contraction under random dispersal but range expansion under optimal matching habitat choice. These benefits of matching habitat choice for population persistence mostly resulted from adaptive immigration decision and were greater for populations with larger dispersal distance and higher emigration probability. We also found that environmental stochasticity resulted in suboptimal matching habitat choice, decreasing the benefits of this dispersal mode under climate change. However population persistence was still better under suboptimal matching habitat choice than under random dispersal. Our results highlight the urgent need to implement more realistic mechanisms of dispersal such as matching habitat choice into models predicting the impacts of ongoing climate change on biodiversity

Code_tree_shape_final

Code of the individual-based model of diversification resulting from ecological speciation in a dynamical landscape. We provide the simulation code as a ready-to-use R function. This makes the simulations very easy to run: the user only needs to edit the parameter values, then to run the function. Explanations and additional information are given in the file “readme.txt”