1,355,636 research outputs found
Data for Does historical land use affect the regional distribution of fleshy-fruited woody plants? (Arnell et al, 2019)
No full textThis is the dataset for the article "Does historical land use affect the regional distribution of fleshy-fruited woody plants?" by M. Arnell, S.A.O. Cousins and O. Eriksson. The dataset contains a readme file and a csv file with data. Please consult the readme for information regarding data structure, and the journal article for sampling information and scientific context
Arnell, E M, VX61683
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/369077Surname: ARNELL
Given Name(s) or Initials: E M
Military Service Number or Last Known Location: VX61683
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 42422179119
Item: [2016.0049.01404] "Arnell, E M, VX61683
Narrating Family: Talk About a Troublesome Girlhood in the Swedish Context
No full textIn this chapter Linda Arnell examines how conceptions and norms regarding families and family patterns influence girls' lives and the constructions of their subjectivity. Arnell focuses on 18-year-old Amanda's narrative about her families and her troublesome upbringing. The narrative is understood as a continuous creation in relation to a broader societal narrative that occurs in intra-action with the researcher, and in relation to discursive possibilities and constraints. Through this one narrative the chapter examines how normative ideas about family can be understood as regulatory power structures that are ever-present in a complex and troubled narrative about family, girlhood, and a girl with experience of acting out.</p
Arnell, J L, 425108
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/369075Surname: ARNELL
Given Name(s) or Initials: J L
Military Service Number or Last Known Location: 425108
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 54656179117
Item: [2016.0049.01402] "Arnell, J L, 425108
Arnell, J J, QX13668
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/369076Surname: ARNELL
Given Name(s) or Initials: J J
Military Service Number or Last Known Location: QX13668
Missing, Wounded and Prisoner of War Enquiry Card Index Number: 21156179118
Item: [2016.0049.01403] "Arnell, J J, QX13668
Flood insurance as a response to environmental hazard
No full textInsurance against the impact of environmental hazard provides a means of recovering from financial loss, but can also be used to encourage the mitigation of such losses. Consequently, insurance can be an effective response to the flood hazard. In principle, high premiums should dis- courage movement onto the floodplain, whilst premium differentials could also be used to encourage the adoption of measures to reduce flood damages. Furthermore, insurance can be made conditional upon the adoption of either individual or collective mitigation measures. On the other hand, however, the availability of insurance may stimulate floodplain encroachment, and the realisation that losses will be reimbursed may discourage loss mitigation. The United States National Flood Insurance Program is an attempt to use the potential of flood insurance to improve response to flooding. In- surance is only sold in communities which have adopted floodplain regu- lations, and variable risk-based rates are applied to new structures in order to discourage encroachment. Whilst flood insurance in the United States has been dominated by governmenj-;; actions and is integrated into floodplain management, insurance in Britain is solely in the hands of the private insurance industry and is not connected with hazard mitigation. Flood cover is a standard inclusion in comprehensive household and small business policies, and is very rarely refused. Competition during the 1970s and 1980s in Britain led to the abandonment of higher premiums for floodprone households. There is no active encouragement of flood-proofing for residences, although companies occasionally make insurance for com- mercial properties conditional upon the raising of stock. Incorporation of flood cover into standard household policies in Britain means that possession of flood cover is not indicative of conscious res- ponse to the flood hazard. However, insurance coverage remains variable, and surveys in Selby, York, Gillingham and Tonbridge showed that lower status, tenant and pensioner households were less likely to have any property insurance cover. Flood relief is an alternative means of pro- viding for recovery from loss. In Britain it is limited to aid from public subscription funds, and since such aid cannot be guaranteed flood relief has an insignificant effect on insurance possession. Temporal variations in flood loss imply that long-term premium income must be sufficient to cover long-term claims payments, and consequently premiums must be based on average annual flood losses. A method for estimating average annual damages based on standard hazard and damage data is presented. It is concluded that the study of insurance provision in Britain aids academic understanding of overall response to hazard, but future changes in the availability of flood insurance may give the studies a more practical value.</p
Implications of climate change for freshwater inflows to the Arctic Ocean
No full textObservational evidence suggests that river inflows to the Arctic Ocean have increased over the last 30 years. Continued increases have the potential to alter the freshwater balance in the Arctic and North Atlantic Oceans and hence the thermohaline circulation. Simulations with a macroscale hydrological model and climate change scenarios derived from six climate models and two emissions scenarios suggest increases of up to 31% in river inflows to the Arctic by the 2080s under high emissions and up to 24% under lower emissions, although there are large differences between climate models. Uncertainty analysis suggests low sensitivity to model form and parameterization but higher sensitivity to the input data used to drive the model. The addition of up to 0.048 sverdrup (Sv, 106 m3 s?1) is a large proportion of the 0.06–0.15 Sv of additional freshwater that may trigger thermohaline collapse. Changes in the spatial distribution of inflows to the Arctic Ocean may influence circulation patterns within the ocean. <br/
Climate change and global water resources: SRES emissions and socio-economic scenarios
No full textIn 1995, nearly 1400 million people lived in water-stressed watersheds (runoff less than 1000 m3/capita/year), mostly in south west Asia, the Middle East and around the Mediterranean. This paper describes an assessment of the relative effect of climate change and population growth on future global and regional water resources stresses, using SRES socio-economic scenarios and climate projections made using six climate models driven by SRES emissions scenarios. River runoff was simulated at a spatial resolution of 0.5×0.5° under current and future climates using a macro-scale hydrological model, and aggregated to the watershed scale to estimate current and future water resource availability for 1300 watersheds and small islands under the SRES population projections. The A2 storyline has the largest population, followed by B2, then A1 and B1 (which have the same population). In the absence of climate change, the future population in water-stressed watersheds depends on population scenario and by 2025 ranges from 2.9 to 3.3 billion people (36–40% of the world's population). By 2055 5.6 billion people would live in water-stressed watersheds under the A2 population future, and "only" 3.4 billion under A1/B1.Climate change increases water resources stresses in some parts of the world where runoff decreases, including around the Mediterranean, in parts of Europe, central and southern America, and southern Africa. In other water-stressed parts of the world—particularly in southern and eastern Asia—climate change increases runoff, but this may not be very beneficial in practice because the increases tend to come during the wet season and the extra water may not be available during the dry season. The broad geographic pattern of change is consistent between the six climate models, although there are differences of magnitude and direction of change in southern Asia.By the 2020s there is little clear difference in the magnitude of impact between population or emissions scenarios, but a large difference between different climate models: between 374 and 1661 million people are projected to experience an increase in water stress. By the 2050s there is still little difference between the emissions scenarios, but the different population assumptions have a clear effect. Under the A2 population between 1092 and 2761 million people have an increase in stress; under the B2 population the range is 670–1538 million, respectively. The range in estimates is due to the slightly different patterns of change projected by the different climate models. Sensitivity analysis showed that a 10% variation in the population totals under a storyline could lead to variations in the numbers of people with an increase or decrease in stress of between 15% and 20%. The impact of these changes on actual water stresses will depend on how water resources are managed in the future. <br/
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