Sotalia guianensis é um pequeno cetáceo costeiro encontrado ao longo do Oceano Atlântico Sul-Ocidental. Está exposta a inúmeras ameaças, tais como captura acidental em redes de pesca, tráfego de embarcações e turismo. A análise de viabilidade populacional (AVP) é uma forma de prever as flutuações e a probabilidade de persistência ou extinção de uma espécie ou população ao longo do tempo, incorporando dados demográficos, ecológicos e ambientais de populações reais em simulações computacionais de modelos estocásticos e determinísticos. O presente estudo teve como objetivos estimar densidade, abundância e realizar uma AVP para S. guianensis no Complexo Estuarino-Lagunar de Cananéia, São Paulo. Estimativas de abundância e densidade foram obtidas entre 2011 e 2012, utilizando o método de transecção linear com amostragem de distâncias, com 1.339,91 km percorridos e 83h05min em esforço. Avistou-se 241 grupos, compostos por 1 a 20 indivíduos. O programa Distance, com modelo half-normal e ajuste coseno e menor valor de AIC, estimou uma abundância de 193 indivíduos (95%IC: 158 - 237) e densidade de 2,5538 ind/km2 (95%IC: 2,0812 - 3,1337). A média de tamanho de grupo é 4,1504 indivíduos (95%IC: 3,7666 - 4,5734). De forma geral, a espécie apresenta grandes variações ao longo de sua distribuição com relação ao tamanho populacional, densidade, tamanho de grupos, distribuição nos habitats e residência. Tais diferenças estão associadas possivelmente às características físicas e ambientais de cada habitat, que interferem direta ou indiretamente na distribuição e dinâmica populacional da espécie e suas presas. Para a AVP a população foi tratada como não suplementada, sem dispersão, sem remoção, sem depressão endogâmica e a extinção foi definida como a permanência de apenas um sexo. O valor inicial da população é 193 indivíduos e demais parâmetros demográficos e reprodutivos foram estimados com base na literatura disponível. Variações de parâmetros específicos (mortalidade, capacidade de suporte do ambiente (K), variação ambiental na reprodução e catástrofe) foram inseridas nos cenários para avaliar as tendências populacionais sob diferentes ameças. Utilizou-se o programa VORTEX 9.99b. A AVP apontou para o declínio e extinção (P(E) = 1,000) da população em menos de 300 anos em todos os cenários, com taxas de crescimento de -0,082 (SD = 0,120), - 0,049 (SD = 0,107) e -0,086 (SD = 0,062), para os cenários 1, 2 e 3 respectivamente. O tempo médio para extinção foi estimado em 39,6 anos para o cenário 1, 57,3 anos para o cenário 2 e 3,3 anos para o cenário 3. As projeções geradas pela AVP apontaram cenários pessimistas, o que pode estar relacionado ao pequeno tamanho da população. As análises mostram que variações no tamanho populacional, mortalidade, K e catástrofes podem influenciar fortemente a persistência de pequenas populações. O estuário de Cananéia é um ambiente favorável e bem preservado que oferece recursos suficientes para S. guianensis, entretanto, o aumento das atividades antrópicas na área pode levar a mudanças na dinâmica populacional e alterações no habitat, comprometendo sua persistência ao longo do tempo. / Sotalia guianensis is a small coastal cetacean found along the south-western Atlantic Ocean. Through its range, is exposed to numerous threats, such as bycatch in fishing nets, vessel traffic and tourism. Population viability analysis (PVA) is a way to predict the trends and the probability of persistence or extinction of a species or population over time, incorporating demographic, ecological and environmental data of real populations in computer simulations of stochastic and deterministic models. The present study aimed to estimate density, abundance and population viability of S. guianensis in the estuarine-lagoon complex. Estimates of abundance and density were obtained between 2011 and 2012, using the distance sampling method and linear transects, with 1,339 .91 km and 83h05min in effort. It were recorded 241 groups (n) with group size between 1 to 20 individuals. The Distance program, with half-normal model and adjust cosine with the lowest AIC, estimated an abundance of 193 individuals (95% CI: 158-237) and density of 2.5538 ind/km2 (95% CI: 2.0812 - 3.1337). The average group size is 4.1504 individuals (95% IC: 3.7666-4.5734). In general, the species presents large variations throughout its distribution regarding population size, density, groups size, distribution in habitat and residence. Such differences are possibly associated with the physical characteristics of each habitat and environmental conditions that interfere directly or indirectly in the distribution and population dynamics of the species and its prey. For the PVA population was treated as not supplemented, without dispersion, without removal, without inbreeding depression, and extinction was defined as the presence of only one sex. The initial population size was 193 individuals and other demographic and reproductive parameters were estimated based on available literature for the species. Variations of specific parameters (mortality, carrying capacity of the environment, environmental variation on reproduction and catastrophe) were used to evaluate population trends under different threats and scenarios. It was used the VORTEX program v. 9.99 b. AVP pointed to the decline and extinction (P(E) = 1,000) of the population in less than 300 years in all scenarios, with growth rates of -0.082 (SD = 0.120), -0.049 (SD = 0.107) and - 0.086 (SD = 0.062), for scenarios 1, 2 and 3 respectively. The average time to extinction was estimated at 39.6 years for scenario 1, 57.3 years for scenario 2 and 3.3 years for scenario 3. The projections generated by the AVP showed pessimistic scenarios, which may be related to the small size of the population. The analyses show that variations in population size, mortality, carrying capacity and disasters can strongly influence the persistence of small populations. Cananéia estuary is a well preserved environment that offers sufficient resources to S. guianensis, however, the increase in anthropogenic activities in the estuary may lead to changes in population dynamics and habitat quality, compromising their persistence over time.

<p>Population viability analysis (PVA) is commonly used in conservation biology to predict population viability in terms of population growth rate and risk of extinction. However, large data requirements limit the use of PVA for many rare and threatened species. This thesis examines the possibility of conducting a matrix model-based PVA for plants with limited data and provides some practical recommendations for reducing the amount of work required. Moreover, the thesis applies different forms of matrix population models to species with different life histories. Matrix manipulations on 37 plant species revealed that the amount of demographic data required can often be reduced using a smaller matrix dimensionality. Given that an individual’s fitness is affected by plant density, linear matrix models are unlikely to predict population dynamics correctly. Estimates of population size of the herb <i>Melampyrum sylvaticum</i> were sensitive to the strength of density dependence operating at different life stages, suggesting that in addition to identifying density-dependent life stages, it is important to estimate the strength of density dependence precisely. When a small number of matrices are available for stochastic matrix population models, the precision of population estimates may depend on the stochastic method used. To optimize the precision of population estimates and the amount of calculation effort in stochastic matrix models, selection of matrices and Tuljapurkar’s approximation are preferable methods to assess population viability. Overall, these results emphasize that in a matrix model-based PVA, the selection of a stage classification and a model is essential because both factors significantly affect the amount of data required as well as the precision of population estimates. By integrating population dynamics into different environmental and genetic factors, matrix population models may be used more effectively in conservation biology and ecology in the future.</p>

Population viability analysis (PVA) is commonly used in conservation biology to predict population viability in terms of population growth rate and risk of extinction. However, large data requirements limit the use of PVA for many rare and threatened species. This thesis examines the possibility of conducting a matrix model-based PVA for plants with limited data and provides some practical recommendations for reducing the amount of work required. Moreover, the thesis applies different forms of matrix population models to species with different life histories. Matrix manipulations on 37 plant species revealed that the amount of demographic data required can often be reduced using a smaller matrix dimensionality. Given that an individual’s fitness is affected by plant density, linear matrix models are unlikely to predict population dynamics correctly. Estimates of population size of the herb Melampyrum sylvaticum were sensitive to the strength of density dependence operating at different life stages, suggesting that in addition to identifying density-dependent life stages, it is important to estimate the strength of density dependence precisely. When a small number of matrices are available for stochastic matrix population models, the precision of population estimates may depend on the stochastic method used. To optimize the precision of population estimates and the amount of calculation effort in stochastic matrix models, selection of matrices and Tuljapurkar’s approximation are preferable methods to assess population viability. Overall, these results emphasize that in a matrix model-based PVA, the selection of a stage classification and a model is essential because both factors significantly affect the amount of data required as well as the precision of population estimates. By integrating population dynamics into different environmental and genetic factors, matrix population models may be used more effectively in conservation biology and ecology in the future.

Management of big wildlife such as bears can be a difficult task, especially in the face of human-wildlife conflict and demands of the hunting industry. The Brown Bear (Ursus arctos) population at Yusufeli County (Artvin, northeastern Turkey) has recently been the focus of scientific, social and economic concerns. This study population of c. 140 individuals occurs within 800 km2 of forested and alpine land. Legal hunting of male bears was allowed in 2007 after an interval of four years. This study aims to find out through a population viability analysis the level and frequency of trophy hunting this population can tolerate for the next 50 years. A matrix model with six age-classes for each sex was constructed using observed and literature-based parameter values. RAMAS Metapop was used to simulate four different scenarios where numbers of hunted bears and hunting frequency changes. The model was highly sensitive to maximum growth rate and adult survival. Interval extinction probabilities for the next 50 years ranged between 0% and 26% depending on the scenario. Viable scenarios (with an extinction probability &lt / 0.05) were only possible with either no trophy hunting or hunting of 4 subadult/adult males and 1 adult female every other year. Legal and illegal hunting jointly impact the bear population in a strong way, and when they occur simultaneously every year, they lead to extinction in the long run. Avoidance of illegal killing and a close supervision of trophy hunting are crucial in the management of this bear population.

Goitered gazelle (Gazella subgutturosa) is an Asian antelope species and it is classified as Vulnerable by IUCN. They have an economic, esthetic and cultural value / therefore, they had been hunted and domesticated for a long time. Additional human disturbance over years nearly led goitered gazelle populations in Turkey to extinction. Today in Turkey, only natural population of goitered gazelle lives in Sanlurfa. In this theses, demographic structure and population parameters of natural population goitered gazelle in Sanliurfa is studied. Line transect and regular surveys are performed to collect data about demographic structure of the population such as sex ratio and group composition. Line transect sampling, which is a distance sampling technique, is used to estimate population size and density of the population. GPS collared goitered gazelles are monitored for fecundity and survival rate. Data is collected for 18 from July 2008 to December 2009 during 32 field surveys. Four main transect samplings have been performed and including transect samplings that are done during regular surveys, 90 line transects are walked. Population sizes and densities were estimated to be (average &plusmn / standard error) 242 &plusmn / 184 and 2.302 &plusmn / 1.590 individual per km2 for July 2008 / 365 &plusmn / 179 and 3.476 &plusmn / 1.707 individual per km2 for January 2009 / 319 &plusmn / 111 and 3.039 &plusmn / 1.059 individual per km2 for June 2009 and lastly, 317 &plusmn / 243 and 3.019 &plusmn / 2.315 for November 2009. Survival rate is estimated to be 0.276, 0.540 and 0.585 for calves, 1 year old and 2+ years olds respectivelty, and fecundity is estimated to be 0.4. This preliminary study shows that according to Population Viability Analysis results, natural goitered gazelle population in Turkey will be extinct in next 10 years if more effective conservation is not performed.

In this thesis the demography, home range and habitat selection of a reintroduced population of Anatolian mouflon (Ovis gmelinii anatolica), which had a single remaining population, was studied to evaluate the reintroduction success and determine the conservation management interventions. For this purpose among 104 individuals reintroduced in Sariyar Wildlife Protection Area (Ankara, Turkey), 40 adults were radio-collared and 28 juvenile were ear-tagged and monitored from 2005 to 2009. The survival of the population according to the age groups (females, 0: 0.5423, 1: 0.60, 2: 0.5316, 3: 0.6637, 3+: 0.6728) and the fecundity of adult females (2: 0.2260, 3: 0.2034, 3+: 0.2034) are estimated. A population viability analysis was performed and the persistence of the population within the next 20 years was estimated. Increasing the survival rate of adult female through conservation or restocking the population with at least six adult females every year decreased the risk of extinction in the near future considerably. The year-round home ranges of the individuals ranged between 805 &ndash / 3435 ha. (Mean &plusmn / SE: 1934 &plusmn / 140 ha). The movements of the tracked individuals followed seasonal patterns: centers of activities changed according to seasons in 80% of the adult mouflon. Reintroduced mouflon selected southern aspects (p=0.001), increasing slopes &ndash / especially medium to high slope terrain &ndash / (slope &gt / 30&deg / , p=0.002), and distant locations to villages and roads. Results indicate that appropriate protective measures should be implemented immediately to mitigate the causes of juvenile mortality. Restocking the population for the next 10 years with adult females would have a stabilizing effect on the declining population and will act as a buffering mechanism during the adaptation period to the new area.

Conservation frequently requires immediate responses to prevent further declines of imperilled populations, often in the absence of detailed information. Consequently, population distribution patterns are often used to guide conservation decisions. However, distribution patterns may be misleading if threats have restricted species to low quality habitat. This issue means it is not always apparent where management efforts should be concentrated for maximum conservation gain. My aim was to improve the effectiveness of threatened species conservation by investigating this issue in whio (blue duck - Hymenolaimus malacorhynchos), a New Zealand riverine duck that has undergone serious declines. I used population and spatial modelling to answer three questions: (1) what are the threats to whio, (2) how can these threats be managed, and (3) managing which whio habitats will give the greatest conservation gain? A spatial analysis of contemporary whio habitat using boosted regression trees revealed whio are only secure in 1 % of their historical range, with predation likely causing significantly greater range contraction (83 %) than habitat modification (29 %). In that analysis, I identified 39,000 km of occupiable whio habitat, providing extensive opportunities to expand their contemporary range through management. Intensive monitoring identified stoats (Mustela erminea) as the primary cause of whio population declines, with stoat predation severely reducing whio nest survival (10 % and 54 % in the absence and presence of stoat control, respectively). Population viability analyses indicated whio populations in the absence of stoat control were at high risk of extinction (λ = 0.74) but large-scale, low-intensity predator control was useful for short-term whio conservation. However, whio populations with stoat control still had a declining population growth rate (λ = 0.95) and further intervention may be required to prevent whio extinctions. Such management needs to target high quality habitat to ensure the greatest conservation value. Analyses of habitat quality revealed whio fitness was highest in warm, low gradient rivers, although fitness gradients differed between North and South Islands. Comparisons of fitness relationships with spatial model predictions showed that South Island whio occurred more frequently in poorer habitat, indicating they may occupy a relict distribution. Limited resources for conservation mean identifying effective management techniques is critical for species persistence. My modelling approach enabled the effectiveness of whio management to be assessed and areas of high quality habitat where such management should provide the greatest benefit to be identified. These tools are directly applicable to the conservation management of many threatened species by quickly informing managers in situations where distributions may not follow habitat quality.

Conservation frequently requires immediate responses to prevent further declines of imperilled populations, often in the absence of detailed information. Consequently, population distribution patterns are often used to guide conservation decisions. However, distribution patterns may be misleading if threats have restricted species to low quality habitat. This issue means it is not always apparent where management efforts should be concentrated for maximum conservation gain. My aim was to improve the effectiveness of threatened species conservation by investigating this issue in whio (blue duck - Hymenolaimus malacorhynchos), a New Zealand riverine duck that has undergone serious declines. I used population and spatial modelling to answer three questions: (1) what are the threats to whio, (2) how can these threats be managed, and (3) managing which whio habitats will give the greatest conservation gain? A spatial analysis of contemporary whio habitat using boosted regression trees revealed whio are only secure in 1 % of their historical range, with predation likely causing significantly greater range contraction (83 %) than habitat modification (29 %). In that analysis, I identified 39,000 km of occupiable whio habitat, providing extensive opportunities to expand their contemporary range through management. Intensive monitoring identified stoats (Mustela erminea) as the primary cause of whio population declines, with stoat predation severely reducing whio nest survival (10 % and 54 % in the absence and presence of stoat control, respectively). Population viability analyses indicated whio populations in the absence of stoat control were at high risk of extinction (λ = 0.74) but large-scale, low-intensity predator control was useful for short-term whio conservation. However, whio populations with stoat control still had a declining population growth rate (λ = 0.95) and further intervention may be required to prevent whio extinctions. Such management needs to target high quality habitat to ensure the greatest conservation value. Analyses of habitat quality revealed whio fitness was highest in warm, low gradient rivers, although fitness gradients differed between North and South Islands. Comparisons of fitness relationships with spatial model predictions showed that South Island whio occurred more frequently in poorer habitat, indicating they may occupy a relict distribution. Limited resources for conservation mean identifying effective management techniques is critical for species persistence. My modelling approach enabled the effectiveness of whio management to be assessed and areas of high quality habitat where such management should provide the greatest benefit to be identified. These tools are directly applicable to the conservation management of many threatened species by quickly informing managers in situations where distributions may not follow habitat quality.

The Australian sea lion, Neophoca cinerea, is Australia?s only endemic pinniped, and one of the rarest sea lions in the world. This species suffered localised extinction events, and a probable population decline during the commercial sealing era of the 18th to 20th centuries. This species also has a unique reproductive cycle and breeding system compared with all other pinnipeds. Unlike the usual annual, synchronous cycle, this species has a 17.5 month breeding cycle which is asynchronous across its range. Small groups of proximate colonies appear to breed synchronously, but otherwise the timing appears randomly distributed. It was proposed that this system is endogenously controlled and maintained by exclusive female natal site fidelity (Gales et al. 1994). This would have a discernible impact on the population genetic structure, and would be directly applicable to conservation management practices. Investigation of population genetic structure of the Australian sea lion using mtDNA and microsatellite markers revealed a highly subdivided population that showed strong patterns of sex-biased dispersal, and strong regional divisions. The level of female natal site fidelity was extreme, resulting in very high levels of genetic differentiation, unparalleled in other marine mammal populations. Significant divisions existed across both macro and micro geographic scales, with fixed differences occurring between colonies separated by as little as 20 kilometres. Strong phylogeographic patterning suggested that divisions between populations are of some antiquity. High levels of fixation in mtDNA markers among the many small colonies in Western Australia was attributed to the high rate of genetic drift in small populations, especially for these markers. Genetic subdivison, as measured by microsatellite markers, revealed a malebiased dispersal pattern. Levels of male dispersal were sufficient in overcoming the female natal site fidelity and rendering small groups of colonies effectively panmictic. However, the range of male dispersal was limited to approximately 200 kilometres and resulted in a regional population structure best defined by geographic distance. This level of subdivision was perhaps greater than expected given the dispersal capabilities of this species, and suggested that some behavioural processes may limit dispersal. Historical processes of extinction and colonisation are thought to have had a strong influence on the current pattern of population subdivision as well.

Sotalia guianensis é um pequeno cetáceo costeiro encontrado ao longo do Oceano Atlântico Sul-Ocidental. Está exposta a inúmeras ameaças, tais como captura acidental em redes de pesca, tráfego de embarcações e turismo. A análise de viabilidade populacional (AVP) é uma forma de prever as flutuações e a probabilidade de persistência ou extinção de uma espécie ou população ao longo do tempo, incorporando dados demográficos, ecológicos e ambientais de populações reais em simulações computacionais de modelos estocásticos e determinísticos. O presente estudo teve como objetivos estimar densidade, abundância e realizar uma AVP para S. guianensis no Complexo Estuarino-Lagunar de Cananéia, São Paulo. Estimativas de abundância e densidade foram obtidas entre 2011 e 2012, utilizando o método de transecção linear com amostragem de distâncias, com 1.339,91 km percorridos e 83h05min em esforço. Avistou-se 241 grupos, compostos por 1 a 20 indivíduos. O programa Distance, com modelo half-normal e ajuste coseno e menor valor de AIC, estimou uma abundância de 193 indivíduos (95%IC: 158 - 237) e densidade de 2,5538 ind/km2 (95%IC: 2,0812 - 3,1337). A média de tamanho de grupo é 4,1504 indivíduos (95%IC: 3,7666 - 4,5734). De forma geral, a espécie apresenta grandes variações ao longo de sua distribuição com relação ao tamanho populacional, densidade, tamanho de grupos, distribuição nos habitats e residência. Tais diferenças estão associadas possivelmente às características físicas e ambientais de cada habitat, que interferem direta ou indiretamente na distribuição e dinâmica populacional da espécie e suas presas. Para a AVP a população foi tratada como não suplementada, sem dispersão, sem remoção, sem depressão endogâmica e a extinção foi definida como a permanência de apenas um sexo. O valor inicial da população é 193 indivíduos e demais parâmetros demográficos e reprodutivos foram estimados com base na literatura disponível. Variações de parâmetros específicos (mortalidade, capacidade de suporte do ambiente (K), variação ambiental na reprodução e catástrofe) foram inseridas nos cenários para avaliar as tendências populacionais sob diferentes ameças. Utilizou-se o programa VORTEX 9.99b. A AVP apontou para o declínio e extinção (P(E) = 1,000) da população em menos de 300 anos em todos os cenários, com taxas de crescimento de -0,082 (SD = 0,120), - 0,049 (SD = 0,107) e -0,086 (SD = 0,062), para os cenários 1, 2 e 3 respectivamente. O tempo médio para extinção foi estimado em 39,6 anos para o cenário 1, 57,3 anos para o cenário 2 e 3,3 anos para o cenário 3. As projeções geradas pela AVP apontaram cenários pessimistas, o que pode estar relacionado ao pequeno tamanho da população. As análises mostram que variações no tamanho populacional, mortalidade, K e catástrofes podem influenciar fortemente a persistência de pequenas populações. O estuário de Cananéia é um ambiente favorável e bem preservado que oferece recursos suficientes para S. guianensis, entretanto, o aumento das atividades antrópicas na área pode levar a mudanças na dinâmica populacional e alterações no habitat, comprometendo sua persistência ao longo do tempo. / Sotalia guianensis is a small coastal cetacean found along the south-western Atlantic Ocean. Through its range, is exposed to numerous threats, such as bycatch in fishing nets, vessel traffic and tourism. Population viability analysis (PVA) is a way to predict the trends and the probability of persistence or extinction of a species or population over time, incorporating demographic, ecological and environmental data of real populations in computer simulations of stochastic and deterministic models. The present study aimed to estimate density, abundance and population viability of S. guianensis in the estuarine-lagoon complex. Estimates of abundance and density were obtained between 2011 and 2012, using the distance sampling method and linear transects, with 1,339 .91 km and 83h05min in effort. It were recorded 241 groups (n) with group size between 1 to 20 individuals. The Distance program, with half-normal model and adjust cosine with the lowest AIC, estimated an abundance of 193 individuals (95% CI: 158-237) and density of 2.5538 ind/km2 (95% CI: 2.0812 - 3.1337). The average group size is 4.1504 individuals (95% IC: 3.7666-4.5734). In general, the species presents large variations throughout its distribution regarding population size, density, groups size, distribution in habitat and residence. Such differences are possibly associated with the physical characteristics of each habitat and environmental conditions that interfere directly or indirectly in the distribution and population dynamics of the species and its prey. For the PVA population was treated as not supplemented, without dispersion, without removal, without inbreeding depression, and extinction was defined as the presence of only one sex. The initial population size was 193 individuals and other demographic and reproductive parameters were estimated based on available literature for the species. Variations of specific parameters (mortality, carrying capacity of the environment, environmental variation on reproduction and catastrophe) were used to evaluate population trends under different threats and scenarios. It was used the VORTEX program v. 9.99 b. AVP pointed to the decline and extinction (P(E) = 1,000) of the population in less than 300 years in all scenarios, with growth rates of -0.082 (SD = 0.120), -0.049 (SD = 0.107) and - 0.086 (SD = 0.062), for scenarios 1, 2 and 3 respectively. The average time to extinction was estimated at 39.6 years for scenario 1, 57.3 years for scenario 2 and 3.3 years for scenario 3. The projections generated by the AVP showed pessimistic scenarios, which may be related to the small size of the population. The analyses show that variations in population size, mortality, carrying capacity and disasters can strongly influence the persistence of small populations. Cananéia estuary is a well preserved environment that offers sufficient resources to S. guianensis, however, the increase in anthropogenic activities in the estuary may lead to changes in population dynamics and habitat quality, compromising their persistence over time.