Dispersal, fishing, and the conservation of marine species [electronic resource]

A central goal of ecology is to understand the forces driving the distribution and abundance of organisms. However, understanding the population dynamics of high-dispersal species, their conservation, and the connections between population dynamics and evolution remains difficult. It is in this context that marine organisms provide a particularly intriguing and challenging study system. Their population dynamics are often highly stochastic, most species have a great ability to disperse, and as the last group of wild species exploited commercially, their ecology and evolution can be strongly influenced by human behavior. By using population genetics, modeling, and meta-analysis, this thesis investigates the spatial ecology of reef fish and the causes and evolutionary consequences of global fisheries collapse. One of the first challenges in understanding spatial population dynamics is obtaining accurate measurements of dispersal abilities. This has been especially difficult for marine species with pelagic larvae. In Chapter 1, I apply a new approach to measuring single-generation dispersal kernels in Clark's anemonefish (Amphiprion clarkii) in the central Philippines. After developing two methods for measuring the strength of local genetic drift, my results suggest that larval dispersal kernels in A. clarkii had a spread near 11 km (4-27 km). This study shows that ecologically relevant larval dispersal can be estimated with widely available genetic methods when effective density is measured carefully through cohort sampling and ecological censuses. In Chapter 2, I use dispersal kernels to develop a model for population openness. Openness refers to the degree to which populations are replenished by immigrants or by local production, a factor that has strong implications for population dynamics, species interactions, and response to exploitation. It is also a population trait that has been increasingly measured empirically, though we have until now lacked theory for predicting population openness. I show that considering habitat isolation elegantly explains the existence of surprisingly closed populations in high dispersal species, and that relatively closed populations are expected when patch spacing is more than twice the standard deviation of a species' dispersal kernel. In addition, empirical scales of habitat patchiness on coral reefs are sufficient to create both largely open and largely closed populations. We predict that habitat patchiness has strong control over population replenishment pathways for a wide range of marine and terrestrial species with a highly dispersive life stage. While the first tow chapters have strong implications for the design of regional marine protected areas, I turn to global conservation questions in Chapters 3 and 4. I first ask which marine fishes are most vulnerable to human impacts. Surveys of terrestrial species have suggested that large-bodied species and top predators are the most at risk, but there has been no global test of this hypothesis in the sea. Contrary to expectations, two datasets compiled from around the world suggest that up to twice as many fisheries for small, low trophic level species have collapsed as compared to those for large predators. I then show that collapsed and overfished species have lower genetic diversity than their close relatives. While the ecological and ecosystem impacts of harvesting wild populations have long been recognized, it has been controversial how widespread evolutionary impacts are. Using a meta-analytical approach across 37 taxonomically paired comparisons, I find on average 19% fewer alleles per locus in overfished species, but little difference in heterozygosity. I confirm with simulations that these results are consistent with a recent population bottleneck. These results suggest that the genetic impacts of overharvest are widespread, even among abundant species. A loss of allelic richness has implications for the long-term evolutionary potential of species.

Keywords: Biology.
Advisor: Palumbi Stephen R. primary advisor. Thesis advisor
Dirzo Rodolfo advisor. Thesis advisor
Hadly Elizabeth Anne