13 research outputs found

    Responses of global waterbird populations to climate change vary with latitude

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    While climate change continues to present a major threat to global biodiversity and ecosystems, most research on climate change impacts do not have the resolution to detect changes in species abundance and are often limited to temperate ecosystems. This limits our understanding of global responses in species abundance—a determinant of ecosystem function and services—to climate change including in the highly-biodiverse tropics. We address this knowledge gap by quantifying abundance responses to climate change in waterbirds, an indicator taxon of wetland biodiversity, at 6,822 sites between −55° and 64°. Using 1,303,651 count records since 1990 of 390 species, we show that with temperature increase, the abundance of species and populations decreased at lower latitudes, particularly in the tropics, but increased at higher latitudes. These contrasting responses to temperature increase according to latitude indicate potential global-scale poleward shifts of species abundance under climate change, providing empirical support for predictions by earlier studies. The negative responses to temperature increase in tropical species and populations are of conservation concern, as they are often also threatened by other anthropogenic factors. Our results suggest that existing biases in studies towards temperate regions could underestimate the impact of climate change on waterbirds and other species

    Evaluating impact using time-series data

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    This is the final version. Available on open access from Elsevier via the DOI in this recordHumanity’s impact on the environment is increasing, as are strategies to conserve biodiversity, but a lack of understanding about how interventions affect ecological and conservation outcomes hampers decision-making. Time-series are often used to assess impacts, but ecologists tend to compare average values from before to after an impact; overlooking the potential for the intervention to elicit a change in trend. Without methods that allow for a range of responses, erroneous conclusions can be drawn. This is especially so for large, multi-time-series datasets which are increasingly available. Drawing on literature in other disciplines and pioneering work in ecology, we present a standardised framework to robustly assesses how interventions, like natural disasters or conservation policies, affect ecological time series.Royal Commission 1851Cambridge Trust Poynton ScholarshipCambridge Department of Zoology J.S. Gardiner StudentshipCambridge Philosophical SocietyAustralian Research Council (ARC)University of QueenslandEuropean Union Horizon 2020Villum FondenArcadiaLeverhulme Trus

    Insights from two decades of the Student Conference on Conservation Science

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    Conservation science is a crisis-oriented discipline focused on reducing human impacts on nature. To explore how the field has changed over the past two decades, we analyzed 3245 applications for oral presentations submitted to the Student Conference on Conservation Science (SCCS) in Cambridge, UK. SCCS has been running every year since 2000, aims for global representation by providing bursaries to early-career conservationists from lower-income countries, and has never had a thematic focus, beyond conservation in the broadest sense. We found that the majority of projects submitted to SCCS were based on primary biological data collected from local scale field studies in the tropics, contrary to established literature which highlights gaps in tropical research. Our results showed a small increase over time in submissions framed around how nature benefits people as well as a small increase in submissions integrating social science. Our findings suggest that students and early-career conservationists could provide pathways to increase availability of data from the tropics and address well-known biases in the published literature towards wealthier countries. We hope this research will motivate efforts to support student projects, ensuring data and results are published and data made publicly available.The project was made possible through funding from: JG: EUs Horizon 2020 Marie Skłodowska-Curie program (No 676108) and VILLUM FONDEN (VKR023371), HA-P; National Council for Scientific and Technological Development (CNPq) (203407/2017-2), TA: The Australian Research Council Future Fellowship (FT180100354), The Grantham Foundation for the Protection of the Environment and The Kenneth Miller Trust, APC: the Natural Environment Research Council (NERC DTP [NE/L002507/1]), LC: Cambridge International Scholarship from the Cambridge Trust, FH: the Newton International Fellowship of the Royal Society, DM: the Australian Government, Endeavor Postgraduate Scholarhip, HM: Branco Weiss Fellowship Administered by the ETH Zürich and Drapers' Company Fellowship, Pembroke College BIS: the Natural Environment Research Council (NERC DTP[NE/L002507/1 and NE/S001395/1]) and the Royal Commission for the Exhibition of 1851 Research Fellowship, HW: Cambridge Trust Cambridge-Australia Poynton Scholarship and Cambridge Department of Zoology J. S. Gardiner Scholarship

    Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

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    Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

    Simulated rainfall removal of tricyclazole sprayed on rice foliage

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    Two rainfall simulations of 30 mm h-1, with 48-h interval between two simulations, were performed on rice lysimeters at 24, 48, and 72 h after being sprayed with tricyclazole. In the first simulated rainfall, wash-off concentration of tricyclazole was significant irrespective of the interval between the spray time and the rainfall simulation. And from 20.5% to 24.2% of tricyclazole deposited on leaves was removed from the rice foliage. In the second simulated rainfall, concentration of tricyclazole in wash-off water was significantly lower and less than 3.6% of the deposited tricyclazole was lost

    Thermodynamics of Aqueous Dilute Solutions of Non-Charged Molecules

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