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Institution

University of East Anglia

EducationNorwich, Norfolk, United Kingdom
About: University of East Anglia is a education organization based out in Norwich, Norfolk, United Kingdom. It is known for research contribution in the topics: Population & Climate change. The organization has 13250 authors who have published 37504 publications receiving 1669060 citations. The organization is also known as: UEA.


Papers
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Journal ArticleDOI
TL;DR: 20 subjects in which the study of animal behaviour can make a significant contribution to conservation are listed, and how behavioural ecologists could become more involved in conservation is suggested.

403 citations

Journal ArticleDOI
16 Mar 2012-Science
TL;DR: The United Nations conference in Rio de Janeiro in June is an important opportunity to improve the institutional framework for sustainable development and requires fundamental reorientation and restructuring of national and international institutions toward more effective Earth system governance and planetary stewardship.
Abstract: Science assessments indicate that human activities are moving several of Earth's sub-systems outside the range of natural variability typical for the previous 500,000 years ( 1 , 2 ). Human societies must now change course and steer away from critical tipping points in the Earth system that might lead to rapid and irreversible change ( 3 ). This requires fundamental reorientation and restructuring of national and international institutions toward more effective Earth system governance and planetary stewardship.

402 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined evidence on the role social networks play in individuals' responses to heat wave risk in a case study in the UK and found that strong bonding networks could potentially exacerbate rather than reduce the vulnerability of elderly people to the effects of heat waves.
Abstract: It has been claimed that high social capital contributes to both positive public health outcomes and to climate change adaptation. Strong social networks have been said to support individuals and collective initiatives of adaptation and enhance resilience. As a result, there is an expectation that social capital could reduce vulnerability to risks from the impacts of climate change in the health sector. This paper examines evidence on the role social networks play in individuals’ responses to heat wave risk in a case study in the UK. Based on interviews with independently living elderly people and their primary social contacts in London and Norwich, we suggest that strong bonding networks could potentially exacerbate rather than reduce the vulnerability of elderly people to the effects of heat waves. Most respondents interviewed did not feel that heat waves posed a significant risk to them personally, and most said that they would be able to cope with hot weather. Bonding networks could perpetuate rather than challenge these narratives and therefore contribute to vulnerability rather than ameliorating it. These results suggest a complex rather than uniformly positive relationship between social capital, health and adaptation to climate change.

402 citations

Journal ArticleDOI
TL;DR: The chemical properties of sea spray aerosol particles produced by artificially generated bubbles using oceanic waters were investigated during a phytoplankton bloom in the North Atlantic.
Abstract: The chemical properties of sea-spray aerosol particles produced by artificially generated bubbles using oceanic waters were investigated during a phytoplankton bloom in the North Atlantic. Spray pa ...

401 citations

Journal ArticleDOI
TL;DR: This work evaluates the performance of four primer sets targeting COI and 16S regions characterizing arthropod diversity in bat faecal samples, and investigates how metabarcoding results are affected by parameters including number of PCR replicates per sample, sequencing depth, and similarity thresholds for Operational Taxonomic Unit (OTU) clustering.
Abstract: 1.Metabarcoding of environmental samples has many challenges and limitations that require carefully considered laboratory and analysis pipelines to ensure reliable results. We explore how decisions regarding study design, laboratory work and bioinformatic processing affect the final results, and provide guidelines for reliable study of environmental samples. 2.We evaluate the performance of four primer sets targeting COI and 16S regions characterising arthropod diversity in bat faecal samples, and investigate how metabarcoding results are affected by parameters including: i) number of PCR replicates per sample, ii) sequencing depth, iii) PCR replicate processing strategy (i.e. either additively, by combining the sequences obtained from the PCR replicates, or restrictively, by only retaining sequences that occur in multiple PCR replicates for each sample), iv) minimum copy number for sequences to be retained, v) chimera removal, and vi) similarity thresholds for OTU clustering. Lastly, we measure within- and between-taxa dissimilarities when using sequences from public databases to determine the most appropriate thresholds for OTU clustering and taxonomy assignment. 3.Our results show that the use of multiple primer sets reduces taxonomic biases and increases taxonomic coverage. Taxonomic profiles resulting from each primer set are principally affected by how many PCR replicates are carried out per sample and how sequences are filtered across them, the sequence copy number threshold and the OTU clustering threshold. We also report considerable diversity differences between PCR replicates from each sample. Sequencing depth increases the dissimilarity between PCR replicates unless the bioinformatic strategies to remove allegedly artefactual sequences are adjusted according to the number of analysed sequences. Finally, we show that the appropriate identity thresholds for OTU clustering and taxonomy assignment differ between target markers. 4.Metabarcoding of complex environmental samples ideally requires i) investigation of whether more than one primer sets targeting the same taxonomic group is needed to offset the effect of primer biases, ii) more than one PCR replicate per sample, iii) bioinformatic processing approaches of sequences that balance diversity detection with removal of artificial sequences, and iv) empirical selection of OTU clustering and taxonomy assignment thresholds tailored to each genetic marker and the obtained taxa. This article is protected by copyright. All rights reserved.

401 citations


Authors

Showing all 13512 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Kay-Tee Khaw1741389138782
Phillip A. Sharp172614117126
Rory Collins162489193407
William J. Sutherland14896694423
Shah Ebrahim14673396807
Kenneth M. Yamada13944672136
Martin McKee1381732125972
David Price138168793535
Sheila Bingham13651967332
Philip Jones13564490838
Peter M. Rothwell13477967382
Ivan Reid131131885123
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023115
2022385
20212,204
20202,121
20191,957
20181,798