Habitat dynamics in the bed sediments of an intermittent upland stream     

Fiona J. McKenzie-Smith  Stuart E. Bunn  Alan P. N. House 《Aquatic Sciences - Research Across Boundaries》2006,68(1):86-99

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New insights into the lithosphere beneath the Superior Province from Rayleigh wave dispersion and receiver function analysis     

Fiona A. Darbyshire  David W. Eaton  rew W. Frederiksen  Leila Ertolahti 《Geophysical Journal International》2007,169(3):1043-1068

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Factors Inhibiting Local Government Engagement in Environmental Sustainability: case studies from rural Australia     

Barbara Pini  Su Wild River  Fiona M. Haslam McKenzie 《The Australian geographer》2007,38(2):161-175

The literature on local government management of the environment in Australia has been limited in that it has typically focused on the urban sphere. In contrast, this paper places rurality at the centre of its inquiry. It uses data from 15 case studies of rural local governments in Australia to identify the main factors that inhibit natural resource management by rural councils. These barriers mobilise around four key themes: capacity, commitment, co-ordination and community. While many of the issues raised in this study of non-urban shires have been described in previous research, the paper argues that the geographic location of the areas under investigation aggravates barriers to engaging sustainability initiatives. It is contended that rural local governments need to be resourced accordingly to ensure that natural resource management at the local government level in Australia is not compromised.  相似文献   

A robust crinoid from the Llandovery (Lower Silurian) of Norbury, Shropshire: systematics, palaeoecology and taphonomy     

Fiona E. Fearnhead  Stephen K. Donovan 《Proceedings of the Geologists' Association. Geologists' Association》2007,118(4):339-345

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Using second-order approximation to incorporate GCM uncertainty in climate change impact assessments     

Sajjad Eghdamirad  Fiona Johnson  Ashish Sharma 《Climatic change》2017,142(1-2):37-52

This study presents a method to incorporate uncertainty of climate variables in climate change impact assessments, where the uncertainty being considered refers to the divergence of general circulation model (GCM) projections. The framework assesses how much bias occurs when the uncertainties of climate variables are ignored. The proposed method is based on the second-order expansion of Taylor series, called second-order approximation (SOA). SOA addresses the bias which occurs by assuming the expected value of a function is equal to the function of the expected value of the predictors. This assumption is not valid for nonlinear systems, such as in the case of the relationship of climate variables to streamflow. To investigate the value of SOA in the climate change context, statistical downscaling models for monthly streamflow were set up for six hydrologic reference stations in Australia which cover contrasting hydro-climate regions. It is shown that in all locations SOA makes the largest difference for low flows and changes the overall mean flow by 1–3%. Another advantage of the SOA approach is that the individual contribution of each climate variable to the total difference can be estimated. It is found that geopotential height and specific humidity cause more bias than wind speeds in the downscaling models considered here.  相似文献   

Combined methods of otolith shape analysis improve identification of spawning areas of Atlantic cod   总被引：5，自引：0，他引：5  

Galley  Elizabeth A.; Wright  Peter J.; Gibb  Fiona M. 《ICES Journal of Marine Science》2006,63(9):1710-1717

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MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia     

Stein Rune Karlsen  Anne Tolvanen  Eero Kubin  Jarmo Poikolainen  Kjell Arild Høgda  Bernt Johansen  Fiona S. Danks  Paul Aspholm  Frans Emil Wielgolaski  Olga Makarova 《International Journal of Applied Earth Observation and Geoinformation》2008

Northern Fennoscandia is an ecologically heterogeneous region in the arctic/alpine-boreal transition area. Phenology data on birch from 13 stations and 16-day MODIS-NDVI composite satellite data with 250 m resolution for the period 2000 to 2006 were used to map the growing season. A new combined pixel-specific NDVI threshold and decision rule-based mapping method was developed to determine the onset and end of the growing season. A moderately high correlation was found between NDVI data and birch phenology data. The earliest onset of the growing season is found in the narrow strip of lowland between the mountains and the sea along the coast of northern Norway. The onset follows a clear gradient from lowland to mountain corresponding to the decreasing temperature gradient. In autumn, the yellowing of the vegetation shows a more heterogeneous pattern. The length of the growing season is between 100 and 130 days in 55% of the study area.  相似文献   

Geomorphological evidence towards a de‐glacial control on volcanism     

Jonathan L. Carrivick  Andrew J. Russell  E. Lucy Rushmer  Fiona S. Tweed  Phillip M. Marren  Hugh Deeming  Oliver J. Lowe 《地球表面变化过程与地形》2009,34(8):1164-1178

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The influence of dependence in characterizing multi-variable uncertainty for climate change impact assessments     

Sajjad Eghdamirad  Fiona Johnson  Ashish Sharma 《水文科学杂志》2019,64(6):731-738

Few approaches exist that explicitly use the uncertainty associated with the spread of climate model simulations in assessing climate change impacts. An approach that does so is second-order approximation (SOA). This incorporates quantification of uncertainty to ascertain its impact on the derived response using a Taylor series expansion of the model. This study uses SOA in a statistical downscaling model of monthly streamflow, with a focus on the influence of dependence in the uncertainty of multiple atmospheric variables. Uncertainty is quantified using the square root error variance concept with a new extension that allows the inter-dependence terms among the atmospheric variable uncertainty to be specified. Applying the model to selected point locations in Australia, it is noted that the downscaling results differ considerably from downscaling that ignores uncertainty. However, when the effects of dependence in uncertainty are incorporated, the results differ according to the regional variations in dependence structure.  相似文献   

Exhumed hydrocarbon traps on the North Atlantic margin: Stratigraphy,palaeontology, provenance and bitumen distribution,an integrated approach     

Steven D. Andrews  Audrey Decou  Bill Braham  Simon R. A. Kelly  Paula Robinson  Andrew C. Morton  John E. A. Marshall  Fiona Hyden 《Basin Research》2020,32(5):1213-1233

Previous work has demonstrated the presence of a number of exhumed hydrocarbon traps in central East Greenland. Re-evaluation of the stratigraphy alongside detailed investigation of the occurrence of bitumen within the Mols Bjerge and Laplace Bjerg exhumed hydrocarbon traps provides new perspectives on these structures, as well as the petroleum geology of East Greenland and the wider North Atlantic. Sedimentological and stratigraphic studies, augmented with palynological and provenance investigations, have constrained the dating and correlation of the strata exposed in the Mols Bjerge and Laplace Bjerg. Petrographic analysis, alongside analysis of the bitumen identified, has highlighted a much wider distribution of hydrocarbon than previously recognized. It was previously considered that Jurassic strata formed the main reservoir interval within the Mols Bjerge and Laplace Bjerg exhumed hydrocarbon traps. It is shown here that the reservoir intervals in the Laplace Bjerg trap lie within the Late Triassic Ørsted Dal and Vega Sund members, which contain up to 18% pyrobitumen and were previously misidentified as Jurassic. The Jurassic Bristol Elv Formation is the most extensively bitumen stained unit in the Mols Bjerge trap. However, occurrences of pyrobitumen (up to 3%) are recorded throughout the Triassic stratigraphy, including the Early Triassic Wordie Creek Formation. Faults, thick calcrete development and regionally continuous mudstone units play an important role in compartmentalizing the palaeohydrocarbon accumulations.  相似文献