scholarly journals Strategically designed marine reserve networks are robust to climate change driven shifts in population connectivity

2020 ◽  
Vol 15 (3) ◽  
pp. 034030 ◽  
Author(s):  
Andrew Rassweiler ◽  
Elena Ojea ◽  
Christopher Costello
2008 ◽  
Vol 1 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Carissa Joy Klein ◽  
Charles Steinback ◽  
Astrid J. Scholz ◽  
Hugh P. Possingham

2021 ◽  
Author(s):  
◽  
Jennifer Vander Veur

<p>Determining the magnitude of dispersal and connectivity between populations has important implications for marine conservation. Species with limited dispersal capabilities exhibit restricted gene flow leading to isolation and, ultimately, differentiated populations. In this ecological study I investigated the gastropods Austrolittorina antipodum (Philippi, 1847) and Austrolittorina cincta (Quoy and Gaimard, 1833) to determine how ecology and behaviour influence the dispersal and connectivity of these species. The aim of this study was to determine population size and structure, settlement, fecundity, and adult movement rates. Methodologies included: population surveys, deployment of settlement pads and adult density manipulations, dissections, and a tagging study. These elements of a species ecology and behaviour can enhance or restrict population connectivity by: cohort partitioning resulting from habitat requirements, fluctuating settlement due to variable larval mortality or adult densities impacting dispersal, skewed sex ratios and effective populations sizes altering larval production, and adult movement leading to behavioural isolation or facilitating gene flow, along with other possible effects. Population surveys revealed both species had a Vermeij (1972) "type 1 distribution" (shell size increasing from the low to high shore), with the highest density of individuals on the low shore and the majority of mature adults on the high shore. Overall, A. antipodum was 16 times more abundant than A. cincta. Shifts to a smaller mean size of both species, along all shore heights following periods of peak settlement indicates settlers are potentially triggering competitive interactions or ontogenetic migrations in other cohorts.Settlement surveys revealed that peak settlement for Austrolittorina spp. was from February to April, declining at the beginning of March. Multiple peaks in settlement may act as a buffer limiting the potential of stochastic events to hinder dispersal during reproductive seasons. Settlement rates were not affected by adult density in control treatments; however, settlement was higher on pads deployed within adult populations compared to pads deployed adjacent to adult populations, suggesting the presences of adults has some effect on settlement. Fecundity results revealed A. antipodum to have more mature females than A. cincta, with males of both species reaching sexual maturity before females. Sex ratios of both species were skewed towards more females, with effective population sizes that included approximately 88% of each species population. A. antipodum’s larger population may be due to variation between the species' demographics, such as the distribution of mature females and juveniles leading to greater spawning success and juvenile survivorship. Tagging transplant/translocation experiments used to examine movement revealed that both species traveled similar distances. On average A. antipodum traveled 24.1m (±23.5m) and A. cincta traveled 18.7m (±16m) in eight months. There was no evidence of behavioural isolation occurring between low and high shore individuals. The wide ranging movements of adults indicated adults have the potential to maintain population connectivity on small scales. The findings of this study suggest both species facilitate dispersal with multiple peaks in settlement, large effective populations, and high adult mobility. Behavioural variation between the species appears to affect population connectivity, with the distribution of A. antipodum demographics potentially enhancing connectivity.</p>


2010 ◽  
Vol 107 (43) ◽  
pp. 18286-18293 ◽  
Author(s):  
S. D. Gaines ◽  
C. White ◽  
M. H. Carr ◽  
S. R. Palumbi

Coral Reefs ◽  
2009 ◽  
Vol 28 (2) ◽  
pp. 339-351 ◽  
Author(s):  
G. R. Almany ◽  
S. R. Connolly ◽  
D. D. Heath ◽  
J. D. Hogan ◽  
G. P. Jones ◽  
...  

2011 ◽  
Vol 63 (4) ◽  
pp. 429-442 ◽  
Author(s):  
William D. Heyman ◽  
Dawn J. Wright

2001 ◽  
Vol 2 (3) ◽  
pp. 10-17 ◽  
Author(s):  
Callum M. Roberts ◽  
Benjamin Halpern ◽  
Stephen R. Palumbi ◽  
Robert R. Warner

2007 ◽  
Vol 201 (1) ◽  
pp. 82-88 ◽  
Author(s):  
L.D. Wagner ◽  
J.V. Ross ◽  
H.P. Possingham

2021 ◽  
Vol 12 ◽  
Author(s):  
Bicai Guan ◽  
Jingjing Gao ◽  
Wei Chen ◽  
Xi Gong ◽  
Gang Ge

Climate change is a great threat to global biodiversity and has resulted in serious ecological consequences. Although the potential effects of climate change on genetic diversity have recently received much research attention, little research has focused on the impacts of climate change on genetic connectivity and the relationship between climate stability and genetic divergence. Here, we combined population connectivity with genetic data to predict the impacts of future climate change on genetic connectivity. Coupled with climatic variables and genetic data, we used POPS software to create spatially explicit simulations and predict the dynamics in genetic clusters in response to climate changes. A generalized additive model was employed to test the correlation between climatic stability and genetic diversification. Our findings indicated that a reduction in species distribution due to severe climate change would lead to a substantial loss of genetic connectivity. More severe future climatic scenarios would likely cause greater loss of variability or more distinct homogenization in genetic variation of species. Relatively low interpolated genetic distances are generally associated with areas of greater losses in climatic suitability from the present to the future. The displacement of climatic genetic clusters will challenge species adaptation to future climate change because of the loss of fundamental evolutionary potential. The persistence capacity of plant species may be weakened in the face of future climate change.


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