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Institution

Lancaster University

EducationLancaster, Lancashire, United Kingdom
About: Lancaster University is a education organization based out in Lancaster, Lancashire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13080 authors who have published 44563 publications receiving 1692277 citations. The organization is also known as: The University of Lancaster & Lancaster University.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors quantified, across four countries of contrasting climatic and soil conditions in Europe, how differences in soil food web composition resulting from land use systems (intensive wheat rotation, extensive rotation, and permanent grassland) influence the functioning of soils and the ecosystem services that they deliver.
Abstract: Intensive land use reduces the diversity and abundance of many soil biota, with consequences for the processes that they govern and the ecosystem services that these processes underpin. Relationships between soil biota and ecosystem processes have mostly been found in laboratory experiments and rarely are found in the field. Here, we quantified, across four countries of contrasting climatic and soil conditions in Europe, how differences in soil food web composition resulting from land use systems (intensive wheat rotation, extensive rotation, and permanent grassland) influence the functioning of soils and the ecosystem services that they deliver. Intensive wheat rotation consistently reduced the biomass of all components of the soil food web across all countries. Soil food web properties strongly and consistently predicted processes of C and N cycling across land use systems and geographic locations, and they were a better predictor of these processes than land use. Processes of carbon loss increased with soil food web properties that correlated with soil C content, such as earthworm biomass and fungal/bacterial energy channel ratio, and were greatest in permanent grassland. In contrast, processes of N cycling were explained by soil food web properties independent of land use, such as arbuscular mycorrhizal fungi and bacterial channel biomass. Our quantification of the contribution of soil organisms to processes of C and N cycling across land use systems and geographic locations shows that soil biota need to be included in C and N cycling models and highlights the need to map and conserve soil biodiversity across the world.

514 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2942 moreInstitutions (200)
TL;DR: In this article, the production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs were measured using the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of 7 TeV and 8 TeV, corresponding to an integrated luminosity of about 25/fb.

513 citations

Journal ArticleDOI
TL;DR: This work presents a generic and novel framework for identifying high-performance indicator taxa that combine practical feasibility and ecological value, and illustrates the approach using a large-scale assessment of 14 different higher taxa across three forest types in the Brazilian Amazon.
Abstract: The identification of high-performance indicator taxa that combine practical feasibility and ecological value requires an understanding of the costs and benefits of surveying different taxa. We present a generic and novel framework for identifying such taxa, and illustrate our approach using a large-scale assessment of 14 different higher taxa across three forest types in the Brazilian Amazon, estimating both the standardized survey cost and the ecological and biodiversity indicator value for each taxon. Survey costs varied by three orders of magnitude, and dung beetles and birds were identified as especially suitable for evaluating and monitoring the ecological consequences of habitat change in our study region. However, an exclusive focus on such taxa occurs at the expense of understanding patterns of diversity in other groups. To improve the cost-effectiveness of biodiversity research we encourage a combination of clearer research goals and the use of an objective evidence-based approach to selecting study taxa.

512 citations

Journal ArticleDOI
TL;DR: In this paper, the authors develop an alternative approach, viewing energy supply and energy demand as part of the ongoing reproduction of bundles and complexes of social practice, and show how social-theoretical commitments influence the ways in which problems like those of reducing carbon emissions are framed and addressed.
Abstract: Energy has an ambivalent status in social theory, variously figuring as a driver or an outcome of social and institutional change, or as something that is woven into the fabric of society itself. In this article the authors consider the underlying models on which different approaches depend. One common strategy is to view energy as a resource base, the management and organization of which depends on various intersecting systems: political, economic and technological. This is not the only route to take. The authors develop an alternative approach, viewing energy supply and energy demand as part of the ongoing reproduction of bundles and complexes of social practice. In articulating and comparing these two positions they show how social-theoretical commitments influence the ways in which problems like those of reducing carbon emissions are framed and addressed. Whereas theories of practice highlight basic questions about what energy is for, these issues are routinely and perhaps necessarily obscured by those who see energy as an abstract resource that structures or that is structured by a range of interlocking social systems.

512 citations


Authors

Showing all 13361 results

NameH-indexPapersCitations
David Miller2032573204840
H. S. Chen1792401178529
John Hardy1771178171694
Yang Gao1682047146301
Gavin Davies1592036149835
David Tilman158340149473
David Cameron1541586126067
A. Artamonov1501858119791
Steven Williams144137586712
Carmen García139150396925
Milos Lokajicek139151198888
S. R. Hou1391845106563
Roger Jones138998114061
Alan D. Baddeley13746789497
Pavel Shatalov136109791536
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023150
2022467
20212,620
20202,881
20192,593
20182,505