Mary O'Connor

Eelgrass (Zostera marina) is a coastal marine angiosperm found in the Northern Hemisphere and forms expansive meadows in sheltered estuaries and bays, providing habitat for a high diversity of organisms, including algae, invertebrates, microbes, fish, birds, and mammals. It also provides invaluable ecosystem services for humans, including coastal storm protection, carbon sequestration, and nutrient cycling. However, eelgrass meadows are threatened worldwide by numerous anthropogenic activities, including shoreline modification, overfishing, land-based nutrient loading, and climate change. In British Columbia, Canada, eelgrass ecosystems are vulnerable to human activities such as habitat destruction, fishing, and pollution, and warming waters, which can cumulatively lead to negative impacts on eelgrass and associated fauna. To understand how environmental variation and BC-specific human activities affect eelgrass ecosystems temporally and spatially, I used a three-year, monthly observational time series of two trophic groups, statistical modeling, and an experiment to study how eelgrass communities and species interactions vary at the micro and macro scales. I show that eelgrass and epiphytic algae biomass change seasonally, and the timing of their peak biomasses varies interannually and is driven by nutrient availability and mesograzer abundances. I also show that human activities have a negative effect on eelgrass biomass, epiphytic algae, and epifaunal invertebrate abundances and species richness. Lastly, I show the first experimental evidence that eelgrass leaves host a core microbiota, eelgrass leaf-associated microbial communities are primarily driven by their surrounding environment, yet there may be host influence because microbial communities are resistant to environmental change within short periods of time. This research provides new insight to how environmental variability and human activities shape eelgrass-associated epifauna communities. This information can be used to predict how eelgrass ecosystems may change over time, which can help inform management decisions for restoration and conservation practices. Implementing more regulations for coastal anthropogenic activities may help ensure that eelgrass, and the organisms and humans that depend on it, will be sustained well into the future.

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Humanity continues to depend on wild meat for subsistence and livelihoods, particularly in the Global South. Here, harvest sustainability is often undermined by ineffective wildlife management, exacerbated by limited data and research capacity. A key challenge to decision makers, then, is how to manage harvest systems in the face of data scarcity. The goal of this dissertation is to provide data-limited decision support tools for wild meat management, with particular focus on (1) predicting effort distribution across large scales, and (2) assessing spatial management strategies’ ability to robustly meet conservation and harvest goals. In my first chapter, I developed a novel hunter movement model based on landscape resistance and circuit theoretic algorithms. These algorithms build on commonly used accessibility metrics by incorporating diffusive, multi-path movement from settlements into surrounding landscapes. To facilitate broad application, I built the landscape-scale map from freely available geospatial datasets and open source software. Validating this approach with camera trap observations of hunters from Malaysian Borneo, I found that the new accessibility metric had far more explanatory power than any other accessibility-based or environmental predictor. To assess other drivers of spatial foraging patterns, in my second chapter I extended my scope across the tropics. Compiling images of foragers taken from cameras in 10 protected areas (PAs), I explored which types of variables—accessibility, wildlife value, or environmental features—best informed forager presence on the landscape. While the results of this chapter should be interpreted cautiously, given limited observations, I found no variable could consistently explain observed forager presence across PAs except for elevation. In my final chapter, I leveraged simulations and decision analysis to assess traditional spatial management. I found that large, fixed reserves could robustly maximize both harvest and conservation goals, especially compared to strategies with small or dynamic alternatives. However, outcomes were strongly influenced by the intensity of hunting effort, hunters’ adherence to spatial rules, and mammal dispersal patterns. While the models and simulations I apply here do not capture the full diversity of hunter behaviour and game responses, they can provide guidance and insights where local data collection is infeasible.

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Dispersal is the ecological process of organismal movement away from the location of birth.Emerging from the process of dispersal is the concept of connectivity, in which animalmovement links spatially distinct populations, thus generating a landscape-scale pattern fromprocess. Quantifying connectivity is a central challenge in marine ecology, with implications forour understanding of population dynamics and the effective management of biodiversity. Yet,there remains a limited understanding of connectivity for many marine ecosystems in terms ofthe dispersal patterns that emerge from the influence of physical seascape features and biologicaltraits. This knowledge gap presents an opportunity to assess the connectivity of understudiedcoastal ecosystems at novel spatial and temporal scales. In this thesis, I model the potentialdispersal and connectivity of coastal marine species on the Pacific coast of Canada. In Chapter 2,I identify and evaluate connectivity patterns of the invertebrate community associated withseagrass (Zostera marina) habitat. I uncover the spatial and temporal scale of networks of habitatconnected by dispersal, and I identify the contribution of individual seagrass habitat patches tomaintaining overall seagrass network connectivity. In Chapter 3, I assess the connectivity of theexisting Marine Protected Area (MPA) network for a variety of nearshore invertebrate species,and I find that the majority of MPAs are connected and support persistent populations. InChapter 4, I explore how connectivity can cause cascading effects of human activities thatimpact seagrass meadows by altering invertebrate dispersal thereby indirectly affecting othermeadows in the seascape. I find that robust dispersal connections can support the persistence ofmost populations despite the negative effects from human activities. In sum, my thesis generatespredictions on the spatial scale of dispersal, and it highlights the ecological insights gained fromanalyzing the emergent connectivity as a network. Together, the methodological framework andresults from this thesis provide essential ecological knowledge to support our understanding ofbiodiversity and aid in the management and conservation of marine ecosystems.

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There is an urgent need to conserve biodiversity in human-modified landscapes throughout the tropics. Animal conservation has traditionally focused on single species, but it remains unclear whether these strategies will also protect other taxa that co-occur within the ecosystem. These uncertainties can also affect plant conservation if management interventions change plant-animal interactions. I identified steps to mitigate the effects of hunting, forest product extraction, and farming on rainforest animals and plants in Suaka Margasatwa Buton Utara (SMBU) and the surrounding mixed-farmland on Buton Island, Southeast Sulawesi, Indonesia. First, I used Bayesian Network inference to assess whether protecting anoa (Bubalus spp.) habitat might also benefit other animals by modelling species co-occurrences in relation to habitat and human activities. Next, I completed a pantropical Network Meta-Analysis (NMA) to identify where controlling the foraging of granivorous mammals might reduce mortality of management-sowed seeds in human-modified forests. Finally, I used the NMA to guide an experimental assessment of how seed predation might affect the regeneration of nine plant species in the reserve and mixed-farmland. Buton macaques (Macaca ochreata) did not co-occur with anoa and were the only species to avoid human-dominated areas. The government might consider concentrating patrols in easy-to-access areas to increase the distribution of macaques throughout SMBU and the mixed-farmland. The NMA identified that granivore control could help reduce seed mortality, but which seeds to protect depended on the type of human activity that modified the forest. At SMBU, granivore control was not required in the mixed-farmland because seed predation was very low for 78% of the studied plants. Low seed losses in the mixed-farmland suggested that forest regeneration might be enhanced by increasing macaque distribution and natural seed rain throughout those areas. My approach could be used to design projects that conserve animals and plants in human-modified ecosystems. Local co-occurrence analyses can identify species that remain vulnerable to humans under conservation projects focused on other species. In data deficient situations, wide-scale evidence synthesis using NMA can help guide decision making, such as when to use granivore control, in human-modified ecosystems.

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A central goal of ecology is to understand what drives the abundance, distribution and diversity of life on Earth. For centuries, biologists have been addressing these questions from a variety of perspectives, and yet we still lack a coherent and mechanistic understanding of what drives these patterns. One process that is shared by all of life on Earth is metabolism. The development and testing of metabolic scaling theory (MST), which formalizes relationships between body size, temperature and metabolism, has revealed remarkable generality in the way that organisms respond to the environment. In spite of extensive documentation of cross-species metabolic patterns, we still lack evidence for how metabolic constraints propagate from the fine to the broad organizational scales. The large gap in our understanding at the level of populations presents a critical challenge for MST. I have combined theory, experiments and data synthesis to test the metabolic underpinnings of biodiversity and its implications for human well-being. Results showed that the temperature-dependence of population dynamics can be predicted from the temperature-dependence of individual metabolism, thus lending strong support for the role of energetic constraints in governing population growth and abundance. Further, I showed that variation in ecologically important traits such as body size has important implications for the nutritional value of aquatic species assemblages, thus linking the processes that structure ecosystems with the benefits they provide. This approach has revealed that understanding what generates and maintains aquatic biodiversity has direct and immediate consequences for human well-being.

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Temperature influences biological processes at all levels of biological organization. As such, temperature is a fundamental abiotic variable affecting ectotherm fitness. As human induced climate change persists, the need to understand biological responses to temperature has never been more pressing. One consequence of rapid climate change is an increase in the frequency and intensity of heat waves. Despite substantial interest in the physiological effects of heat stress, it is less clear how individual responses to extreme heat events influence population-level responses such as persistence and population growth. Energy balance is a unifying concept that integrates the effect of temperature across scales. The Energy Limited Tolerance to Stress (ELTOS) framework links physiological models of temperature and oxygen availability to dynamic energy budgets in order to predict the effect of stress on individual reproduction and population growth. Drawing on the ELTOS framework, I tested three critical predictions about individual thermal experience, and how the influence of heat stress scales up from physiological to individual to populations, utilizing the splash pool copepod, Tigriopus californicus. In Chapter 2, I tested the prediction that aerobic energy production declines with increasing heat wave intensity and duration, and that individual reproduction declines similarly. In Chapter 3, I tested the assumption that short-term impacts of heat waves on individual reproduction have persistent effects on longer-term population dynamics. In Chapter 4, I tested for an effect of spatial variation in thermal history on subsequent heat wave survival. Together, these tests provide a comprehensive examination of ELTOS predictions of biological responses to heat waves across scales. My data are consistent with ELTOS predictions that heat wave intensity affects energy balance and subsequent individual reproductive effort. However, I did not find consistent patterns of population dynamics over both short and longer-term time scales. The opposing effect of temperature on different life-history traits that occur over different time-scales likely underlies differences in the effect of short-term heat wave effects on population dynamics over short and longer time periods. Lastly, I found that spatial variation in thermal history, particularly recent heat accumulation, explains reduced survivorship during experimental heat waves.

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Networks of Marine Protected Areas are implemented to conserve fish populations, yet their effectiveness is rarely comprehensively examined or adaptively managed. In this dissertation, I evaluate a network of Rockfish Conservation Areas (RCAs) implemented to reverse population declines of inshore Pacific rockfishes (Sebastes spp.). First, I used SCUBA surveys to examine patterns of Black Rockfish abundance compared to spatial and temporal variability in recruitment to determine how recruitment influences population density in and around a RCA. Habitat variables such as complexity and rocky substrate predicted adult Black Rockfish abundance while recruitment did not. Next, I surveyed the fish communities of 35 RCAs and adjacent unprotected areas using a Remotely Operated Vehicle (ROV). Habitat features such as percent rocky substrates and depth influenced the density of Quillback (S. maliger), Yelloweye (S. ruberrimus), Greenstriped Rockfishes (S. elongatus), Kelp Greenling (Hexagrammos decagrammus), Lingcod (Ophiodon elongatus) and all inshore rockfishes combined, while reserve status did not. The results give little indication that demersal fish populations have recovered inside the RCA system. I used aerial observations of recreational fishing from surveys before, during and after 77 RCAs were established and found there was no evidence of a change in fishing effort in 83% of the RCAs. Compliance was related to the level of fishing effort around the RCA, the size and perimeter-to-area ratio of RCAs, proximity to fishing lodges and the level of enforcement. Non-compliance in RCAs may be hampering their effectiveness and impeding rockfish recovery. Lastly, I modeled rocky reef habitat using Random Forest Classification to assess habitat in the RCAs. I combined three habitat metrics with data on compliance, RCA size, rockfish bycatch, and connectivity into a single Conservation Score. The Conservation Score is related to the log reserve ratio, a measure of relative abundance, for Quillback Rockfish. RCAs with low Conservation Scores are not likely to be effective and managers should evaluate the reasons for low scores and address reserve shortcomings in an adaptive spatial management framework. Education and enforcement efforts are critical to the recovery of depleted fish stocks. Continued monitoring and evaluation of the RCAs is essential to rockfish conservation.

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