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Spatial scale and nest distribution of little penguins (Eudyptula minor)

机译:小企鹅(Eudyptula minor)的空间尺度和巢分布

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摘要

The breeding habitats of all seabirds are not uniformly distributed spatially and temporally, but typically exist as discrete patches. Most species of seabirds breed in colonies that vary in size, and are generally located close to foraging areas. These colonies typically form patterns in the landscape and maintain some inter-connectivity that can be at the genetic and / or demographic levels.udInteractions between abiotic and biotic factors determine the extent and distribution of a population in a geographical area. Temporal factors such as the seasonal variation in the availability of food and breeding season phenologies also determine spatial and temporal species distributions. This study investigates the abiotic and biotic interactions that can operate in a hierarchical series of habitat spatial scales extending from the Meso (100s – 1000s km), Topo (100s m), Micro (10s m) to Nano (1+ m) scales.udThe spatial distribution of colonies and nests of a burrowing seabird, the little penguin (Eudyptula minor) found along the North West Coast of Tasmania are investigated. These colonies are recognised to be a component of the little penguin metapopulation that has been identified for south-east Australia. The metapopulation embraces the concepts of source-sink colonies and that of the role of habitat quality. The spatial distribution of little penguin colonies was investigated at different spatial scales, and the relationships between habitat, nest-site quality, microclimate and chick productivity are examined as the spatial scale decreased from landscape to individual nest-sites.udIn this thesis, I present data and analyses that examine:ud1) Spatial distributions of little penguin and burrows. Geographical Information Systems (GIS) were used to analyse the spatial patterns of colonies along the North-West Coast of Tasmania. Data collected using differential GPS were analysed in order to describe the distribution of nest-sites within and among colonies. The spatial analyses showed that colonies were not distributed randomly and that nest-sites were clustered within colonies.ud2) Environmental factors influencing nest distribution. A habitat model was used to statistically explain the presence or absence of burrows. The model was developed using the following terrain variables: elevation, slope, aspect (extracted from a high resolution 1 m × 1 m DEM); and calculated solar radiation and wetness index. The distance to the coast was also calculated for each presence and absence point included in the model.ud3) Microclimate of burrows. Temperature and relative humidity were measured in different burrow types (grass, sand, vines and artificial) over the main period of the breeding season to investigate the extent of microclimate variation within and among burrow types. The relationship between the burrow and external temperature was also examined among the burrow types. The frequency with which the burrow temperatures exceeded 27°C, the Upper Critical Temperature (UCT) at which penguin chicks may experience difficulty in thermoregulation, was also determined.ud4) Influence of burrow type on breeding success. The presence or absence of chicks as well as the number of chicks produced per burrow type was analysed during three breeding seasons using GLMM to investigate whether there was a difference in the productivity per burrow type.udThe use of spatial habitat scales in the analyses of a burrowing seabird and the examination of abiotic and biotic factors (and their interactions) has provided new insights into how little penguins interact with their environment at a range of spatial scales. The study has also developed a novel approach to investigating the relationships between the distribution of seabirds and their habitat.udNew findings have emerged in three areas of seabird ecology:ud(i) The spatial analyses of seabird colonies undertaken by GIS showed a dispersed pattern of distribution at both the meso- and coarse scales, yet within the colonies the nest-sites were clustered.ud(ii) A habitat model based on a range of terrain variables provided a statistically valid model to explain the presence, but not the absence, of burrows within colonies. This may be the result of the presence of suitable habitat that is underutilised by the penguins or that space is not a limiting factor, or other factors such as vegetation cover that may also be necessary to model habitat utilisation more accurately.ud(iii) Microclimate variations were not uniform among the burrow types, and some burrow types were more prone to exceed the UCT of 27°C in a way that could be potentially harmful to adult penguins and their chicks.ud(iv) Chick production during three years of this study was higher in artificial burrows compared to the natural burrows. The implications of the findings of this study are discussed in terms of conservation and management in peri-urban environments of little penguin colonies.
机译:所有海鸟的繁殖栖息地在空间和时间上都不是均匀分布的,而是通常以离散斑块的形式存在。大多数海鸟物种在大小不等的殖民地中繁殖,并且通常位于觅食区附近。这些殖民地通常在景观中形成图案,并在遗传和/或人口统计水平上保持某种相互联系。非生物和生物因素之间的相互作用决定了地理区域内人口的范围和分布。诸如食物供应的季节性变化和繁殖季节物候之类的时间因素也决定了空间和时间物种分布。这项研究调查了非生物和生物相互作用,这些相互作用可以在从中观(100s – 1000s km),托普(100s m),微米(10s m)到纳米(1+ m)尺度的一系列栖息地空间尺度中起作用。 ud研究了在塔斯马尼亚岛西北海岸发现的穴居海鸟(小企鹅(Eudyptula minor)的殖民地和巢穴的空间分布。这些菌落被认为是澳大利亚东南部已发现的小企鹅种群的组成部分。种群包括源库群的概念以及栖息地质量的作用。研究了小企鹅种群在不同空间尺度上的空间分布,研究了栖息地,巢点质量,小气候和雏鸡生产力之间的关系,因为空间尺度从景观减少到单个巢点。 ud目前的数据和分析检查了以下内容: ud1)小企鹅和洞穴的空间分布。地理信息系统(GIS)用于分析塔斯马尼亚岛西北海岸殖民地的空间格局。分析了使用差分GPS收集的数据,以描述殖民地内部和殖民地之间巢位的分布。空间分析表明,菌落不是随机分布的,巢位聚集在菌落内。 ud2)影响巢穴分布的环境因素。使用栖息地模型来统计解释洞穴的存在与否。该模型是使用以下地形变量开发的:高程,坡度,坡向(从1 m×1 m DEM高分辨率提取);并计算出太阳辐射和湿度指数。还针对模型中包含的每个存在和不存在点计算了到海岸的距离。 ud3)洞穴的微气候。在繁殖季节的主要时期,对不同洞穴类型(草,沙,藤蔓和人工)的温度和相对湿度进行了测量,以调查洞穴内部和之间的微气候变化程度。还研究了洞穴类型之间的洞穴与外部温度之间的关系。还确定了洞穴温度超过27°C的频率,即企鹅雏鸡可能难以调节温度的最高临界温度(UCT)。 ud4)洞穴类型对繁殖成功的影响。在三个繁殖季节中,使用GLMM分析了小鸡的有无以及每种洞穴类型产生的小鸡数量,以调查每种洞穴类型的生产力是否存在差异。挖洞的海鸟以及对非生物和生物因子(及其相互作用)的研究为小企鹅在空间范围内与环境的相互作用提供了新的见解。该研究还开发了一种新颖的方法来研究海鸟的分布与其栖息地之间的关系。 ud在海鸟生态学的三个领域中出现了新发现: ud(i)GIS对海鸟殖民地进行的空间分析表明,分布情况分散 ud(ii)基于一系列地形变量的栖息地模型提供了一个统计上有效的模型来解释其存在,但是没有殖民地内没有洞穴。这可能是由于企鹅没有充分利用适当的栖息地,或者空间不是限制因素,或者其他因素(例如植被覆盖度)也可能是更精确地模拟栖息地利用所必需的。 ud(iii)洞穴类型之间的小气候变化并不均匀,某些洞穴类型更倾向于超过27°C的UCT,这可能对成年企鹅及其雏鸡产生潜在危害。 ud(iv)三年中的小鸡生产这项研究的结果是人工洞穴比自然洞穴要高。本研究结果的意义在小企鹅群落的近郊环境中的保存和管理方面进行了讨论。

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