This thesis examines the logistical support of the Australian Army???s operations in the South West Pacific from January 1943 to August 1945. It begins by examining the strategic context. Succeeding chapters then examine various topics, including doctrine, base development, problems of storage and tropic proofing, inland water transport, road construction, air supply, amphibious operations and the support of combat operations. In this thesis I argue that the Australian Army???s logistical acumen and ability steadily grew with each campaign, resulting in a highly effective military organisation that inflicted a series of crushing defeats on the Japanese.

This study adapted and developed methods of assessing and modelling biodiversity of butterflies and day-flying moths in habitat fragments, and determined those factors affecting their presence, abundance and species richness in a sample of 46 isolated urban remnants in south-west Western Australia. The specific objectives were to: (i) assess the effectiveness of transect–based sampling to quantify the species richness of habitat fragments; (ii) examine patterns of species richness in habitat fragments and quantify the detectability of each species recorded; (iii) review and rationalize the methods used to fit species–area–habitat models; and (iv) model species incidence, abundance and total richness of butterflies in urban habitat fragments and determine implications and priorities for their conservation. / These objectives were achieved and the principal findings of the research are: (i) The transect method provides an accurate assessment of butterfly species richness in isolates provided that the level of sampling (proportion of area surveyed) is adequate, that sufficient surveys are conducted during the flight season to ensure high levels of detectability, and that surveys are conducted at appropriate times and during suitable weather conditions. Although randomly placed transects are preferable, logistic constraints often dictate the use of existing pathways, roadsides or management tracks – which requires the use of longer transects but is more practical in urban remnants. / (i) The transect method provides an accurate assessment of butterfly species richness in isolates provided that the level of sampling (proportion of area surveyed) is adequate, that sufficient surveys are conducted during the flight season to ensure high levels of detectability, and that surveys are conducted at appropriate times and during suitable weather conditions. Although randomly placed transects are preferable, logistic constraints often dictate the use of existing pathways, roadsides or management tracks – which requires the use of longer transects but is more practical in urban remnants. / (iii) Almost a century of fitting species–area curves has failed to produce agreement on which function is the best model of the relationship. Many of the proposed functions are identical, special cases of others or have arisen from transcription errors. Empirical comparison of these functions requires methods suited to the distribution of species number such as the generalized linear model, method of maximum likelihood and the information-theoretic approach, and proper attention to covariates and their interactions. / (iv) Site area and vegetation condition were the dominant determinants of the presence, abundance and total species richness of resident butterflies and day-active moths in 46 urban habitat fragments in south-west Western Australia. Larger sites with more high quality (undisturbed) vegetation favoured 16 of 20 native species and only one benefited from disturbance. A further nine species not sufficiently widespread or abundant to enable individual analysis were collectively more prevalent in larger sites. Resource quality and quantity dominated the patterns of site occupancy, and increased site connectivity did not favour any species – results consistent with habitat resources, not metapopulation effects, determining current distribution patterns. As expected, the presence of non-resident species was unaffected by site area. The total number of resident species at each site reflected the collective responses of the individual species: increasing with area and declining with vegetation disturbance. The effects of area and vegetation quality were not simply additive: disturbance had a far greater impact on small remnants. This interaction is inconsistent with the area per se hypothesis: in the absence of disturbance there was no evidence of a species–area effect. / This study is the first comprehensive, quantitative assessment of the distribution and ecology of butterflies and day-flying moths in Australian urban habitat fragments and provides a baseline against which future changes in species distributions may be measured. The results have important implications for the conservation of butterflies and day-flying moths in the region. Maintenance of vegetation quality is of paramount importance and is vital in smaller remnants. Large remnants, being less susceptible to local extinctions, will be essential for the persistence of many species. Many functions have been proposed to model the species–area relationship but empirical comparisons have been hindered by methodological problems – this study conducted a re-examination of the relationship and presents an appropriate framework to compare functions. This study is also one of few to demonstrate and quantify the importance of interactions in explaining patterns of species richness and should stimulate future research into the importance of these effects.

A global extinction event has been documented in protozoan foraminifera in the late Pliocene to Pleistocene. The timing of the extinction event varied depending on location, however for Ocean Drilling Project Site 1125, disappearances occurred between 2.5 and 0.57 Ma, with the major decline approximately 1.1 Ma. In order to determine if this event affected benthic organisms other than protozoans, this study was undertaken to determine how podocopid ostracods (Crustacea) recovered Ocean Drilling Program Site 1125 responded. The present study was hindered by the small number of valves recovered; the fact that a large proportion of taxa found were undescribed and new to science; and the current state of taxonomic scheme that is under significant revision. These factors meant that a comprehensive comparison could not be achieved. Despite this, counts of ostracod valves and assessments of diversity from this study reveal a significant increase in both parameters from approximately 900-600 ka. Three possible causes were investigated to account for this increase, sediment type and sample size; affects of taphonomy, mainly dissolution; or an actual biotic 'event'. Statistical analyses showed that although sample size did have some effect, it was not the sole reason for the increase in ostracod numbers. Dissolution had an expected affect on the percentage of juveniles but no correlations were found with other sample characteristics. Sedimentation rate was investigated but this also proved unrelated. Therefore, it is suggested that the increase in total ostracod valves and diversity which occurs between 900 and 600 ka was in fact a natural, biotic 'event'. This preliminary evidence suggests that an oceanographic event that has negatively impacted on the foraminifers has had the reverse affect on the ostracod assemblage, in the sense that both population size and diversity increase during that time.

Thesis (Ph.D.)--University of Western Australia, 2006.

Newspaper article: "Trunk call answered”. With two handwritten notes: "Also shown on S.A.B.C. Television July 1980", and, "Note some scars on bark to left of the door ...".

Conhecer a distribuição geográfica das espécies é primordial para a tomada de ações efetivas de conservação. Modelos de ocupação são ferramentas importantes para estimar a distribuição das espécies, especialmente quando as informações são incompletas, como é o caso de muitas espécies ameaçadas ou em áreas ainda insuficientemente amostradas. O objetivo deste estudo é ampliar e refinar o conhecimento sobre a distribuição geográfica da toninha, Pontoporia blainvillei, um pequeno cetáceo ameaçado de extinção restrito às águas costeiras do Atlântico Sul ocidental, através de modelos de ocupação. Foram realizadas amostragens aéreas com 4 observadores independentes, em 2058 sítios de 4x4km na distribuição da espécie no Brasil. Foram utilizadas cinco covariáveis de detecção (transparência da água, escala Beaufort, reflexo solar, posição dos amostradores e número de amostradores) e três covariáveis de ocupação (batimetria, temperatura média e produtividade primária) com índices de correlação de Pearson menor que 0,7. Todas as covariáveis contínuas foram estandardizadas com média zero e desvio padrão igual a um. Os modelos de ocupação com autocorrealação espacial foram estimados com Inferência Bayesiana utilizando priors ‘vagos’ (média zero e variância 1.0E6). Em apenas 75 sítios foram detectadas toninhas. A probabilidade de detecção média foi de 0.23 (CRI 0.006 a 0.51), onde as covariáveis Beaufort (efeito negativo), reflexo solar (efeito negativo) e transparência da água (efeito positivo) apresentaram efeitos significativos. A média estimada de ocupação foi de 0,066 (CRI 0,01 a 0,31). As covariáveis batimetria e a temperatura média apresentaram efeitos positivos e negativos sobre o processo de ocupação, respectivamente. Espacialmente o modelo prevê três áreas com altas probabilidades de ocupação aparentemente disjuntas: a) costa norte do Rio de Janeiro; b) costas norte de 3 Santa catarina até São Paulo; c) costa do Rio Grande do Sul. Assim, agregamos importantes informações para a conservação da espécie e realização de novos estudos, apontando onde podemos encontrar maiores probabilidade de ocupação na costa do Brasil e covariáveis que determinam a ocupação e a detecção da espécie. / Knowing the geographic distribution of a species is essential for taking effective conservation actions. Occupation Models are important tools for estimating species distribution, especially when information is incomplete, as is the case with many endangered species or in under-sampled areas. The aim of this study is to expand and refine the knowledge about the geographic distribution of the franciscana, Pontoporia blainvillei, a threatened small cetacean restricted to the coastal waters of the western South Atlantic, through Occupation Models. Aerial samplings were carried out with 4 independent observers, in 2058 sites of 4x4km across the distribution of the species in Brazilian waters. Five detection covariates were used (water transparency, Beaufort scale, solar reflectance, observer position and number of observers) and three covariates of occupation (bathymetry, mean temperature and primary productivity) with Pearson correlation indices less than 0.7. All continuous covariates were standardized with mean zero and standard deviation equal to one. Occupancy Models with spatial autocorrection were estimated using Bayesian Inference using 'vague' priors (zero mean and variance 1.0E6). Franciscana was detected only in 75 sites. The average detection probability 4 was 0.23 (CRI 0.006 to 0.51), where Beaufort (negative effect), solar reflex (negative effect) and water transparency (positive effect) covariables had significant effects. The estimated mean occupancy was 0.066 (CRI 0.01 to 0.31). The bathymetry and the mean temperature covariables had positive and negative effects on the occupation process, respectively. Spatially the model predicts three apparently disjunct areas with high probability of occupation: a) north coast of Rio de Janeiro; b) north coasts of Santa Catarina to São Paulo; c) coast of Rio Grande do Sul. Thus, we add important information for the conservation of species and new studies, pointing out where we can find greater likelihood of occupation on the coast of Brazil and covariates that determine the occupation and the detection of the species.

Conhecer a distribuição geográfica das espécies é primordial para a tomada de ações efetivas de conservação. Modelos de ocupação são ferramentas importantes para estimar a distribuição das espécies, especialmente quando as informações são incompletas, como é o caso de muitas espécies ameaçadas ou em áreas ainda insuficientemente amostradas. O objetivo deste estudo é ampliar e refinar o conhecimento sobre a distribuição geográfica da toninha, Pontoporia blainvillei, um pequeno cetáceo ameaçado de extinção restrito às águas costeiras do Atlântico Sul ocidental, através de modelos de ocupação. Foram realizadas amostragens aéreas com 4 observadores independentes, em 2058 sítios de 4x4km na distribuição da espécie no Brasil. Foram utilizadas cinco covariáveis de detecção (transparência da água, escala Beaufort, reflexo solar, posição dos amostradores e número de amostradores) e três covariáveis de ocupação (batimetria, temperatura média e produtividade primária) com índices de correlação de Pearson menor que 0,7. Todas as covariáveis contínuas foram estandardizadas com média zero e desvio padrão igual a um. Os modelos de ocupação com autocorrealação espacial foram estimados com Inferência Bayesiana utilizando priors ‘vagos’ (média zero e variância 1.0E6). Em apenas 75 sítios foram detectadas toninhas. A probabilidade de detecção média foi de 0.23 (CRI 0.006 a 0.51), onde as covariáveis Beaufort (efeito negativo), reflexo solar (efeito negativo) e transparência da água (efeito positivo) apresentaram efeitos significativos. A média estimada de ocupação foi de 0,066 (CRI 0,01 a 0,31). As covariáveis batimetria e a temperatura média apresentaram efeitos positivos e negativos sobre o processo de ocupação, respectivamente. Espacialmente o modelo prevê três áreas com altas probabilidades de ocupação aparentemente disjuntas: a) costa norte do Rio de Janeiro; b) costas norte de 3 Santa catarina até São Paulo; c) costa do Rio Grande do Sul. Assim, agregamos importantes informações para a conservação da espécie e realização de novos estudos, apontando onde podemos encontrar maiores probabilidade de ocupação na costa do Brasil e covariáveis que determinam a ocupação e a detecção da espécie. / Knowing the geographic distribution of a species is essential for taking effective conservation actions. Occupation Models are important tools for estimating species distribution, especially when information is incomplete, as is the case with many endangered species or in under-sampled areas. The aim of this study is to expand and refine the knowledge about the geographic distribution of the franciscana, Pontoporia blainvillei, a threatened small cetacean restricted to the coastal waters of the western South Atlantic, through Occupation Models. Aerial samplings were carried out with 4 independent observers, in 2058 sites of 4x4km across the distribution of the species in Brazilian waters. Five detection covariates were used (water transparency, Beaufort scale, solar reflectance, observer position and number of observers) and three covariates of occupation (bathymetry, mean temperature and primary productivity) with Pearson correlation indices less than 0.7. All continuous covariates were standardized with mean zero and standard deviation equal to one. Occupancy Models with spatial autocorrection were estimated using Bayesian Inference using 'vague' priors (zero mean and variance 1.0E6). Franciscana was detected only in 75 sites. The average detection probability 4 was 0.23 (CRI 0.006 to 0.51), where Beaufort (negative effect), solar reflex (negative effect) and water transparency (positive effect) covariables had significant effects. The estimated mean occupancy was 0.066 (CRI 0.01 to 0.31). The bathymetry and the mean temperature covariables had positive and negative effects on the occupation process, respectively. Spatially the model predicts three apparently disjunct areas with high probability of occupation: a) north coast of Rio de Janeiro; b) north coasts of Santa Catarina to São Paulo; c) coast of Rio Grande do Sul. Thus, we add important information for the conservation of species and new studies, pointing out where we can find greater likelihood of occupation on the coast of Brazil and covariates that determine the occupation and the detection of the species.

Achieving a reduction in greenhouse gas emissions has become a key challenge facing global society and its economies. Despite this, tourism policy and strategic planning rarely acknowledge carbon mitigation as a strategic objective and tourism as a sector is rarely recognised in low-carbon plans. This situation represents a substantial challenge, as tourism and travel have a high-carbon impact and carbon mitigation is hindered by lack of carbon data, and a continued drive for economic growth. The purpose of this thesis was to investigate the effectiveness of carbon footprinting and scenario modelling to help examine the opportunities and challenges for implementing low-carbon tourism pathways in destinations, and to consider how the opportunities could be enabled. The 'REAP Tourism' footprint tool was used to investigate the carbon impact of visitors to destinations across South West England. The purpose was to estimate emissions, suggest a baseline footprint and offer alternative growth and mitigation scenarios of how tourism could more effectively reduce emissions. Through participatory workshops, evaluation questionnaires and semi-structured interviews, stakeholders identified the limitations and benefits of carbon modelling and the challenges and opportunities for a transition towards low-carbon tourism in destinations. The results demonstrated that the carbon footprint was a useful and informative indicator. The baseline data and scenarios provided a basis for constructive low-carbon dialogue with tourism stakeholders, which helped to challenge current thinking and facilitate the co-creation of ideas and potential interventions. A range of low-carbon opportunities and challenges were identified relating to the cultural, political and structural components of tourism governance. A conceptual low-carbon transition framework is proposed, to illustrate the opportunities. Stakeholder dialogue and debate, informed by quantitative and qualitative data, is central to the framework. Cultural, political and structural opportunities for change are also identified. Further investigation is needed to test the framework and examine the levels of influence and capabilities of different types of tourism stakeholders. The use of integrated environmental-economic indicators to inform national and local tourism policy and strategy, also require application. This thesis contributes to an emerging body of knowledge on the governance of low-carbon destinations, from a practical, methodological and conceptual basis.

Conhecer a distribuição geográfica das espécies é primordial para a tomada de ações efetivas de conservação. Modelos de ocupação são ferramentas importantes para estimar a distribuição das espécies, especialmente quando as informações são incompletas, como é o caso de muitas espécies ameaçadas ou em áreas ainda insuficientemente amostradas. O objetivo deste estudo é ampliar e refinar o conhecimento sobre a distribuição geográfica da toninha, Pontoporia blainvillei, um pequeno cetáceo ameaçado de extinção restrito às águas costeiras do Atlântico Sul ocidental, através de modelos de ocupação. Foram realizadas amostragens aéreas com 4 observadores independentes, em 2058 sítios de 4x4km na distribuição da espécie no Brasil. Foram utilizadas cinco covariáveis de detecção (transparência da água, escala Beaufort, reflexo solar, posição dos amostradores e número de amostradores) e três covariáveis de ocupação (batimetria, temperatura média e produtividade primária) com índices de correlação de Pearson menor que 0,7. Todas as covariáveis contínuas foram estandardizadas com média zero e desvio padrão igual a um. Os modelos de ocupação com autocorrealação espacial foram estimados com Inferência Bayesiana utilizando priors ‘vagos’ (média zero e variância 1.0E6). Em apenas 75 sítios foram detectadas toninhas. A probabilidade de detecção média foi de 0.23 (CRI 0.006 a 0.51), onde as covariáveis Beaufort (efeito negativo), reflexo solar (efeito negativo) e transparência da água (efeito positivo) apresentaram efeitos significativos. A média estimada de ocupação foi de 0,066 (CRI 0,01 a 0,31). As covariáveis batimetria e a temperatura média apresentaram efeitos positivos e negativos sobre o processo de ocupação, respectivamente. Espacialmente o modelo prevê três áreas com altas probabilidades de ocupação aparentemente disjuntas: a) costa norte do Rio de Janeiro; b) costas norte de 3 Santa catarina até São Paulo; c) costa do Rio Grande do Sul. Assim, agregamos importantes informações para a conservação da espécie e realização de novos estudos, apontando onde podemos encontrar maiores probabilidade de ocupação na costa do Brasil e covariáveis que determinam a ocupação e a detecção da espécie. / Knowing the geographic distribution of a species is essential for taking effective conservation actions. Occupation Models are important tools for estimating species distribution, especially when information is incomplete, as is the case with many endangered species or in under-sampled areas. The aim of this study is to expand and refine the knowledge about the geographic distribution of the franciscana, Pontoporia blainvillei, a threatened small cetacean restricted to the coastal waters of the western South Atlantic, through Occupation Models. Aerial samplings were carried out with 4 independent observers, in 2058 sites of 4x4km across the distribution of the species in Brazilian waters. Five detection covariates were used (water transparency, Beaufort scale, solar reflectance, observer position and number of observers) and three covariates of occupation (bathymetry, mean temperature and primary productivity) with Pearson correlation indices less than 0.7. All continuous covariates were standardized with mean zero and standard deviation equal to one. Occupancy Models with spatial autocorrection were estimated using Bayesian Inference using 'vague' priors (zero mean and variance 1.0E6). Franciscana was detected only in 75 sites. The average detection probability 4 was 0.23 (CRI 0.006 to 0.51), where Beaufort (negative effect), solar reflex (negative effect) and water transparency (positive effect) covariables had significant effects. The estimated mean occupancy was 0.066 (CRI 0.01 to 0.31). The bathymetry and the mean temperature covariables had positive and negative effects on the occupation process, respectively. Spatially the model predicts three apparently disjunct areas with high probability of occupation: a) north coast of Rio de Janeiro; b) north coasts of Santa Catarina to São Paulo; c) coast of Rio Grande do Sul. Thus, we add important information for the conservation of species and new studies, pointing out where we can find greater likelihood of occupation on the coast of Brazil and covariates that determine the occupation and the detection of the species.

The main focus of this work is genocide in one of the former German colonies. German South West Africa, in the present day known as Namibia, faced such a frightening event at the beginning of 20th century that very few situations in human history can compare to it. This work tries to bring the reader closer to the situation in southwest Africa in the period of German colonialism, especially to the genocide of the Herero and Nama nations. The main goal of this diploma thesis is based on defining the term genocide and the description of contemporary events in German South West Africa. The key aim is to find certain connections between genocide committed by the German Empire in German South West Africa and genocide perpetrated several decades later by Nazi Germany in Eastern Europe during Second Word War.