Matthew J. Amesbury

Matthew J. Amesbury

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Matthew J. Amesbury

Research Services, University of Exeter, Devon, UK

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 December 2020 in Nature Climate Change
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Journal Article
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JLJ. Loisel
J. Loisel
AGA. V. Gallego-Sala
A. V. Gallego-Sala
MAM. J. Amesbury
M. J. Amesbury
GMG. Magnan
G. Magnan
GAG. Anshari
G. Anshari
Jianghua WuJianghua Wu
Jianghua Wu

21 October 2019 in Nature Geoscience
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Journal Article
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GSGraeme T. Swindles
Graeme T. Swindles
PMPaul J. Morris
Paul J. Morris
DMDonal J. Mullan
Donal J. Mullan
RPRichard J. Payne
Richard J. Payne
TRThomas P. Roland
Thomas P. Roland
BWBarry Warner
Barry Warner

1 November 2016 in Quaternary Science Reviews
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Journal Article
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MAMatthew J. Amesbury
Matthew J. Amesbury
GSGraeme T. Swindles
Graeme T. Swindles
ABAnatoly Bobrov
Anatoly Bobrov
DCDan J. Charman
Dan J. Charman
JHJoseph Holden
Joseph Holden
BWBarry G. Warner
Barry G. Warner
This is the final version of the article. Available from Elsevier via the DOI in this record.In the decade since the first pan-European testate amoeba-based transfer function for peatland palaeohydrological reconstruction was published, a vast amount of additional data collection has been undertaken by the research community. Here, we expand the pan-European dataset from 128 to 1799 samples, spanning 35° of latitude and 55° of longitude. After the development of a new taxonomic scheme to permit compilation of data from a wide range of contributors and the removal of samples with high pH values, we developed ecological transfer functions using a range of model types and a dataset of ∼1300 samples. We rigorously tested the efficacy of these models using both statistical validation and independent test sets with associated instrumental data. Model performance measured by statistical indicators was comparable to other published models. Comparison to test sets showed that taxonomic resolution did not impair model performance and that the new pan-European model can therefore be used as an effective tool for palaeohydrological reconstruction. Our results question the efficacy of relying on statistical validation of transfer functions alone and support a multi-faceted approach to the assessment of new models. We substantiated recent advice that model outputs should be standardised and presented as residual values in order to focus interpretation on secure directional shifts, avoiding potentially inaccurate conclusions relating to specific water-table depths. The extent and diversity of the dataset highlighted that, at the taxonomic resolution applied, a majority of taxa had broad geographic distributions, though some morphotypes appeared to have restricted ranges.GTS was supported by the Worldwide University Network (‘Arctic Environments, Vulnerabilities and Opportunities’) and a Department of Employment and Learning (Northern Ireland) PhD studentship. ET was supported by UK NERC-funded Doctoral Training Grant NE/G52398X/1. ML was supported by EU grant PSPB-013/2010 (CLIMPEAT, www.climpeat.pl) and grant 2015/17/B/ST10/01656 from the National Science Center (Poland). RJP was supported by the Leverhulme Trust (RPG 2015-162). RJP and YM were supported by the Russian Science Foundation (grant 14-14-00891 for field work and grant 14-50-00029 for taxonomic analysis). AB was supported by the RFBR Scientific Fund (grants 16-04-00451А and 15-29-02518) and by the German Ministry of Education and Research (CARBOPERM-Project, BMBF Grant No. 03G0836). EM was supported by the European Community funded BERI project (Bog Ecosystem Research Initiative; ENV4-CT95–0028) and the Swiss Federal Office for Education and Science (95.0415). DJC was supported by the EU ACCROTELM project (EVK2-CT-2002-00166)

1 June 2017 in Current Biology
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Journal Article
Open access
MAMatthew J. Amesbury
Matthew J. Amesbury
TRThomas P. Roland
Thomas P. Roland
JRJessica Royles
Jessica Royles
DHDominic A. Hodgson
Dominic A. Hodgson
PCPeter Convey
Peter Convey
DCDan J. Charman
Dan J. Charman
Recent climate change on the Antarctic Peninsula is well documented [1-5], with warming, alongside increases in precipitation, wind strength, and melt season length [1, 6, 7], driving environmental change [8, 9]. However, meteorological records mostly began in the 1950s, and paleoenvironmental datasets that provide a longer-term context to recent climate change are limited in number and often from single sites [7] and/or discontinuous in time [10, 11]. Here we use moss bank cores from a 600-km transect from Green Island (65.3°S) to Elephant Island (61.1°S) as paleoclimate archives sensitive to regional temperature change, moderated by water availability and surface microclimate [12, 13]. Mosses grow slowly, but cold temperatures minimize decomposition, facilitating multi-proxy analysis of preserved peat [14]. Carbon isotope discrimination (Δ13C) in cellulose indicates the favorability of conditions for photosynthesis [15]. Testate amoebae are representative heterotrophs in peatlands [16-18], so their populations are an indicator of microbial productivity [14]. Moss growth and mass accumulation rates represent the balance between growth and decomposition [19]. Analyzing these proxies in five cores at three sites over 150 years reveals increased biological activity over the past ca. 50 years, in response to climate change. We identified significant changepoints in all sites and proxies, suggesting fundamental and widespread changes in the terrestrial biosphere. The regional sensitivity of moss growth to past temperature rises suggests that terrestrial ecosystems will alter rapidly under future warming, leading to major changes in the biology and landscape of this iconic region-an Antarctic greening to parallel well-established observations in the Arctic [20].

24 August 2022 in Nature Communications
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HZHui Zhang
Hui Zhang
MVMinna Väliranta
Minna Väliranta
GSGraeme T. Swindles
Graeme T. Swindles
MAMarco A. Aquino-López
Marco A. Aquino-López
DMDonal Mullan
Donal Mullan
YZYan Zhao
Yan Zhao
High-latitude peatlands are changing rapidly in response to climate change, including permafrost thaw. Here, we reconstruct hydrological conditions since the seventeenth century using testate amoeba data from 103 high-latitude peat archives. We show that 54% of the peatlands have been drying and 32% have been wetting over this period, illustrating the complex ecohydrological dynamics of high latitude peatlands and their highly uncertain responses to a warming climate.

21 January 2020 in Global Change Biology
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HZHui Zhang
Hui Zhang
MVMinna Väliranta
Minna Väliranta
SPSanna Piilo
Sanna Piilo
MAMatthew J. Amesbury
Matthew J. Amesbury
MAMarco A. Aquino‐López
Marco A. Aquino‐López
Eeva-Stiina TuittilaEeva-Stiina Tuittila
Eeva-Stiina Tuittila