The spatial and population dynamics of avian scavengers are poorly understood. This information is key for management and conservation interventions that guarantee long-term species conservation. My goal in this dissertation is to fill information gaps on the movement ecology of New World vultures using the Turkey Vulture (Cathartes aura) as a model species. I used a continental-wide satellite telemetry dataset to study the migration ecology, space-use, and demography of the three North American breeding populations of Turkey Vultures wintering in the Neotropics during a 17-year period. I found that primary productivity, but not weather, triggered Turkey Vulture migratory behavior, migration initiated when primary productivity dropped at the end of the breeding and non-breeding season. Migratory connectivity was high at the species level (0.85, 95% CI: 0.74–0.94). However, I found evidence of intrapopulation segregation during the non-breeding season demonstrated by lower values of migratory connectivity in each population. I investigated how seasonality interacted with human disturbance, landscape composition and configuration to mediate patterns of geographic and environmental space-use, and annual and seasonal survival probabilities. Environmental space-use was best explained by landscape configuration. Geographic space-use exhibited a quadratic response to landscape configuration metrics, suggesting that Turkey Vultures maximize space-use in landscape with intermediate disturbance. Human disturbance, but not but not landscape composition and configuration, influenced survival rates in space and time. Overall annual survival averaged 0.87 (95% CI = 0.74 – 0.98). Mortality risk was low in western and central populations but was 3.7 times greater for vultures in the eastern population. Risk of mortality for all vulture populations increased with road density, and this was greater during the non-breeding and return migration seasons. My results suggest that spatial and population dynamics are affected at a continental scale by the energy landscape, intermediate disturbance and human disturbance. My dissertation emphasizes the importance of an integrative empirical-modeling approach to address questions on effects of resources availability and search efficiency in the spatial and population dynamics of avian scavengers.

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Bumble bees (bombus spp.) are significant pollinators of many plants, and are particularly attracted to mass-flowering crops such as Oilseed Rape (Brassica Napus), which they cross-pollinate. B. napus is both wind and insect-pollinated, and whilst it has been found that wind is its most significant pollen vector, the influence of bumble bee pollination could be non-trivial when bee densities are large. Therefore, the assessment of pollinator-mediated cross-pollination events could be important when considering containment strategies of genetically modified (GM) crops, such as GM varieties of B. napus, but requires a landscape-scale understanding of pollinator movements, which is currently unknown for bumble bees. I developed an in silico model, entitled HARVEST, which simulates the foraging and consequential inter-patch movements of bumble bees. The model is based on principles from Reinforcement Learning and Individual Based Modelling, and uses a Linear Operator Learning Rule to guide agent learning. The model incoproates one or more agents, or bees, that learn by ‘trial-and-error’, with a gradual preference shown for patch choice actions that provide increased rewards. To validate the model, I verified its ability to replicate certain iconic patterns of bee-mediated gene flow, and assessed its accuracy in predicting the flower visits and inter-patch movement frequencies of real bees in a small-scale system. The model successfully replicated the iconic patterns, but failed to accurately predict outputs from the real system. It did, however, qualitatively replicate the high levels of inter-patch traffic found in the real small-scale system, and its quantitative discrepancies could likely be explained by inaccurate parameterisations. I also found that HARVEST bees are extremely efficient foragers, which agrees with evidence of powerful learning capabilities and risk-aversion in real bumble bees. When applying the model to the landscape-scale, HARVEST predicts that overall levels of bee-mediated gene flow are extremely low. Nonetheless, I identified an effective containment strategy in which a ‘shield’ comprised of sacrificed crops is placed between GM and conventional crop populations. This strategy could be useful for scenarios in which the tolerance for GM seed set is exceptionally low.

Whether species interactions are static or change over time has wide-reaching ecological and evolutionary consequences. However, species interaction networks are typically constructed from temporally aggregated interaction data, thereby implicitly assuming that interactions are fixed. This approach has advanced our understanding of communities, but it obscures the timescale at which interactions form (or dissolve) and the drivers and consequences of such dynamics. We address this knowledge gap by quantifying the within-season turnover of plant-pollinator interactions from weekly censuses across 3years in a subalpine ecosystem. Week-to-week turnover of interactions (1) was high, (2) followed a consistent seasonal progression in all years of study and (3) was dominated by interaction rewiring (the reassembly of interactions among species). Simulation models revealed that species' phenologies and relative abundances constrained both total interaction turnover and rewiring. Our findings reveal the diversity of species interactions that may be missed when the temporal dynamics of networks are ignored.

Papio ursinus are dietary generalists that exploit a diverse repertoire of food resources. This study explored the foraging strategies of a group of Papio ursinus and the foraging differences between subgroups classified by age and sex. Food resource preference, nutritional properties of food resources, and nutritional demands were examined to test the hypotheses that the foraging strategies exhibited by the subgroups would differ and that food selection is driven by nutritional demands. Adult females and juveniles were found to seek out food resources higher in proteins, while adult males were found to prefer food resources higher in carbohydrates. The findings support the alternative hypotheses and suggest that nutritional pressures are the best predictor of foraging optimization. A pilot study, involving the observation of a provisioned group of Macaca mulatta, that proved elemental to the formulation of the research design employed in the study of Papio ursinus, is also described.

Optimal Foraging Theory (OFT) has its origin in processualistic ideas in 1960s with traces back to the dawn of the archaeological science in the 19th century. The OFT model is based on the construction of an individual’s food item selection understood as an evolutionary construct that maximizes the net energy gained per unit feeding time. The most common variants are diet patch choice, diet breadth/prey choice models and Marginal Value Theorem (MVT). The theory introduced experimental studies combined with mathematically data analyses and computer simulations. The results visualized in the experimental diagrammed curve are possible to compare with the archaeological records. What is “optimal” is an empirical question not possible to know but still useful as a benchmark for measuring culture. The theory is common in USA but still not in Europe. OFT seems to be useful in hunter-gatherer research looking at human decisions, energy flow, depression of resources and extinction. This literature review concludes that the prey-choice/diet-breadth model seems to be useful for hunter-gatherer research on Gotland focusing on possible causes of the hiatus in archaeological records between 5000-4500 BC. / Optimal Foraging Theory (OFT) har sitt ursprung i de processualistiska ideérna under 1960-talet med spår tillbaka till arkeologins början som vetenskap under 1800-talet. OFT modellen baseras på konstruktionen av en individs födoämnesval som förstås som en evolutionär konstruktion som maximerar nettoenergiintaget per tidsenhet som gått åt för försörjningen. De vanligaste varianterna är patch-choice, diet breadth/prey choice modellerna och Marginal Value Theorem (MVT). Experimentella studier genomförs och data bearbetas matematiskt och visar datorsimulerade kurvdiagram möjliga att jämföra med arkeologiska källmaterial. Vad som är ”optimalt” är en empirisk fråga omöjlig att veta men användbar ändå som en slag referens för att mäta kultur. Teorin är vanlig i USA men ännu inte i Europa. OFT förefaller användbar inom forskning av jägare-samlare om man fokuserar på beslutsfattande, energiflöde, depression av resurser och utrotning av arter. Slutsatsen i denna litteraturöversikt är att prey choice/diet breadth modellen tycks vara användbar för gotländsk jägare-samlare-forskning som fokuserar på möjliga orsaker till de arkeologiska fyndens hiatus mellan 5000-4500 BC.

This dissertation presents an evaluation of coprolite specimens from the Lower Pecos canyonlands as records of individual dietary decisions. Prior studies of coprolites from this region have greatly expanded our knowledge of Archaic subsistence patterns, but have not taken full advantage of the record of individual dietary decisions recorded in each coprolite specimen. The menu, or dietary combinations, reflected in individual coprolite specimens are assessed through the identification of several congruent botanical components derived from the same food resource, phytoliths, fiber ultimates, and epidermal sheets. The data is analyzed with hierarchical cluster analysis, an exploratory statistical technique. The resultant menus reflected in these clusters are evaluated with reference to the diet-breadth model developed for the known staple resources of the canyonlands as well as the seasonal subsistence patterns observed in the ethnohistoric record of modern-day Mexico and Texas. This same technique is also applied to the coprolite data available from previous studies in the Lower Pecos canyonlands. Overall, the combined dietary data available for the Lower Pecos canyonlands presents a similar dependence on desertic plant resources throughout the Archaic. Three main menus are apparent in the specimens. The first menu consists of prickly pear (Opuntia sp.) cladodes, or nopales, and was principally, although not exclusively, consumed in the late spring. This menu is primarily consumed when other resources were not readily available and may be considered a dependable but undesirable meal. The second menu consists of pit-baked lechuguilla (Agave lechuguilla) and sotol (Dasylirion sp.) caudices, or hearts, common throughout the cool season. This menu entails high processing costs, but would provide a reliable caloric return. The third menu exhibits a monolithic reliance on prickly pear fruits, or tunas, during the summer. The ease of harvest and consumption is reflected in the seasonal dominance of this resource, which was assuredly a highly desirable meal. The dietary patterns recorded in the coprolite specimens from the Lower Pecos canyonlands demonstrate a seasonally variable diet-breadth that incorporated low-ranked resources during times of seasonal scarcity as well as a monolithic dependence on high-ranked resources when they were available in the local landscape.

The Optimal Foraging Theory, rooted in the processual archaeology, uses a measuring methodology where the foraging strategy that gives the highest payoff measured as the highest ratio of energy gain per time unit is analysed (Mac Arthur & Pianca 1966, Emlen 1966). The theory is a branch of evolutionary ecology why much attention is paid to the interdependence of humans and preys and environmental conditions caused by climatologically and geographical changes or by overexploitation or other changes caused by humans. The analysis of Early Mesolithic pioneers onGotland, who settle in a transforming landscape, leaves indications of a Maglemose culture origin, probably from flooded original settlements in the south/southwest Baltic basin. The pioneers have to adapt to a seal-hunting economy dominated by grey seal which give the best cost-benefit outcome as big terrestrial mammals are missing and only mountain hare is available. The diet is narrow and there is a great risk for deficiency diseases as well as for acquiring hypervitaminosis and osteoporosis caused by excess of seal food. There is a hiatus c. 5000-4500 BC in the archaeological records on Gotland and the south-western Baltic region, and the master thesis hypothesises that Littorina Transgression I with a severe cold dip called the “8.2 ka BP cold event” has a delayed, but such a severe impact also on fauna and flora on Gotland, that the ecological system is destroyed. The possibility for humans to survive in a sustainable society is questionable. The extremely cold winters during this c. 400 years cold event, with glaciers moving southwards, delayed the blooming season, diminished the harvest and changed both flora and fauna. When the ecological niche for the grey seal is destroyed with flooded beaches close to the pioneers, human overexploitation is reinforced. With a diminishing population of mountain hare, which eventually gets extinct at the end of the Mesolithic, there are no alternatives but some birds and fish, hard to catch. Probably the pioneers abandon Gotland or move to a higher level on Gotland but no records are yet found why the period is called a hiatus. Extinction is the worst scenario or survival in such a small number that a sustainable society is lost. If so, new population groups repopulatedGotlandafter the Littorina transgressions. The origin is still unknown of the Pitted-ware and Funnelbeaker cultures that are populating Gotland after the transgressions. This master thesis can not confirm an affluent life style but rather a suffering starving society flooded by Littorina transgressions and struggling with the severe cold, caused by the “8.2 ka cold event” that makes the environmental conditions even worse. The subsistence economy is successively destroyed which probably causes the hiatus in archaeological records. The Littorina Transgression I with the “8.2 cold event” and the lack of terrestrial big animals are bottle necks. / Optimal Foraging Theory, med sina rötter i den processuella arkeologin, använder en metodik utgående från mätningar där insamlingsstrategin som ger den högsta avkastningen per tidsenhet analyseras (Mac Arthur & Pianca 1966, Emlen 1966). Teorin är en undergrupp inom den evolutionära ekologin och därför ägnas stor tid åt att uppmärksamma det ömsesidiga beroendet och påverkan som sker i miljön p.g.a. klimatologiska och geologiska orsaker men också p.g.a. mänsklig påverkan som exempelvis överförbrukning.  Analysen av tidigmesolitiska pionjärbosättare på Gotland, som möter ett landskap i förvandling, lämnar spår efter sig som tyder på ett ursprung i Maglemosekulturen i södra/sydvästra Östersjöregionen. De tvingas bli adapterade till en säljägarekonomi dominerad av gråsäl som ger det bästa energiutbytet, eftersom stora landdäggdjur saknas och endast bergshare finns tillgänglig. Dietvalet är smalt och det föreligger stor risk för både bristsjukdomar och A-vitaminförgiftning och osteoporos p.g.a. överkonsumtion av sälprodukter. Det finns ett uppehåll i de arkeologiska fynden c. 5000-4500 BC på Gotland liksom i södra Östersjöområdet. Magisteruppsatsens hypotes är att den kalla perioden med temperatursänkning som kallas ”8.2 ka BP cold event” under Littorinatransgression I har en fördröjd men så kraftigt övergripande effekt, på både djur- och växtliv på Gotland, att den förstör det ekologiska systemet och därmed möjligheten för människor att överleva i ett hållbart samhälle. De mycket hårda vintrarna under de c. 400 årens ”cold event” medför att glaciärerna dras sig söderut, blomningssäsongen fördröjs, skörden minskar och både fauna och flora förändras. När den ekologiska nischen för gråsälen förstörs av översvämmade stränder nära bosättarna förstärks överexploateringen, och då det inte finns någon alternativ föda utom en minskande harstam, svårfångade fåglar och fiskar, blir situationen fatal för de tidigmesolitiska bosättarna. Troligtvis flyttar de till andra platser inom Östersjönätverket eller till en högre nivå på Gotland, men fynd saknas hittills varför detta tomrum benämns ”hiatus”. Det värsta scenariot är att bosättarna dör ut eller överlever i ett så litet antal att det hållbara samhället går under.Om så är fallet återbefokas Gotland av gropkeramisk kultur och trattbägarkultur i anslutning till Littorinatrasgressionernas slut. Denna magisteruppsats kan inte konfirmera en livsstil i överflöd, utan snarare ett lidande svältande samhälle som översvämmas av Littorinatransgressioner med miljömässiga förhållanden som förvärras av den allvarliga kylan orsakad av ”8.2 ka cold event”.  Försörjningsmöjligheterna förstörs succesivt och befolkningen försvinner vilket troligen orsakar ett hiatus i de arkeologiska fynden. Littorina Transgression I med ”8.2 ka cold event” och bristen på stora landdjur är stora flaskhalsar.

The current study utilized two experiments to assess Smith's (1981) simple per capita-maximization model, which provides a quantitative framework for predicting optimal group sizes in social foraging contexts. Participants engaged in a social foraging task where they chose to forage for points exchangeable for lottery prizes either alone or in a group that has agreed to pool and share all resources equally. In Experiment 1, groups (“settlements”) of 10 or 12 participants made repeated group membership choices. Settlements were exposed to three conditions in which the optimal group size was either 2, 5, or 2 for the 10 person settlement or 3, 4, or 6 for the 12 person settlement. A linear regression of the data from Experiment 1 revealed a strong relationship between the observed group sizes and group sizes predicted by the simple per capita maximization model. Experiment 2 was a systematic replication of Experiment 1 in which single participants foraged for shared resources with groups of automated players in a computerized simulation. Automated player group choices mirrored group choices of participants in Experiment 1; excluding the data for the best performing participant. Thus, the participant acted essentially in the stead of the best performing participant for each condition. Two logistic regressions provided mixed support for the model, while failing to replicate the results of Experiment 1, providing mixed support for the use of the simple per capita maximization model in predicting group sizes in social foraging contexts.

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