M
Mark R. Lomas
Researcher at University of Sheffield
Publications - 9
Citations - 1523
Mark R. Lomas is an academic researcher from University of Sheffield. The author has contributed to research in topics: Ecosystem & Tundra. The author has an hindex of 8, co-authored 9 publications receiving 1264 citations.
Papers
More filters
Journal ArticleDOI
Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends.
Shilong Piao,Shilong Piao,Stephen Sitch,Philippe Ciais,Pierre Friedlingstein,Philippe Peylin,Xuhui Wang,Anders Ahlström,Alessandro Anav,Josep G. Canadell,Nan Cong,Chris Huntingford,Martin Jung,Samuel Levis,Peter Levy,Junsheng Li,Xin Lin,Mark R. Lomas,Meng Lu,Yiqi Luo,Yuecun Ma,Ranga B. Myneni,Ben Poulter,Zhenzhong Sun,Tao Wang,Nicolas Viovy,Soenke Zaehle,Ning Zeng +27 more
TL;DR: Carbon-nitrogen interactions significantly influence the simulated response of carbon cycle to temperature and atmospheric CO2 concentration, suggesting that nutrients limitations should be included in the next generation of terrestrial biosphere models.
Journal ArticleDOI
Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity
Shilong Piao,Shilong Piao,Huijuan Nan,Chris Huntingford,Philippe Ciais,Pierre Friedlingstein,Stephen Sitch,Shushi Peng,Shushi Peng,Anders Ahlström,Josep G. Canadell,Nan Cong,Samuel Levis,Peter Levy,Lingli Liu,Mark R. Lomas,Jiafu Mao,Ranga B. Myneni,Philippe Peylin,Ben Poulter,Xiaoying Shi,Guodong Yin,Nicolas Viovy,Tao Wang,Tao Wang,Xuhui Wang,Soenke Zaehle,Ning Zeng,Zhenzhong Zeng,Anping Chen +29 more
TL;DR: The strength of the relationship between the interannual variability of growing season NDVI and temperature (partial correlation coefficient RNDVI-GT) declined substantially between 1982 and 2011 and is mainly observed in temperate and arctic ecosystems.
Evidence for A Weakening Relationship between Interannual Temperature Variability and Northern Vegetation Activity
Shilong Piao,Huijuan Nan,Chris Huntingford,Philippe Ciais,Pierre Friedlingstein,Stephen Sitch,Shushi Peng,Shushi Peng,Anders Ahlström,Josep G. Canadell,Nan Cong,Samuel Levis,Peter Levy,Lingli Liu,Mark R. Lomas,Jiafu Mao,Ranga B. Myneni,Philippe Peylin,Ben Poulter,Xiaoying Shi,Guodong Yin,Nicolas Viovy,Tao Wang,Tao Wang,Xuhui Wang,Soenke Zaehle,Ning Zeng,Zhenzhong Zeng,Anping Chen +28 more
TL;DR: This article showed that the strength of the relationship between the interannual variability of growing season NDVI and temperature (partial correlation coefficient RNDVI-GT) declined substantially between 1982 and 2011.
Journal ArticleDOI
Comprehensive ecosystem model-data synthesis using multiple data sets at two temperate forest free-air CO2 enrichment experiments: Model performance at ambient CO2 concentration
Anthony P. Walker,Anthony P. Walker,Paul J. Hanson,Martin G. De Kauwe,Belinda E. Medlyn,Soenke Zaehle,Shinichi Asao,Michael Dietze,Thomas Hickler,Chris Huntingford,Colleen M. Iversen,Atul K. Jain,Mark R. Lomas,Yiqi Luo,Heather R. McCarthy,William J. Parton,I. Colin Prentice,I. Colin Prentice,Peter E. Thornton,Shusen Wang,Ying-Ping Wang,David Wårlind,Ensheng Weng,Jeffrey M. Warren,F. Ian Woodward,Ram Oren,Ram Oren,Richard J. Norby +27 more
TL;DR: In this article, the authors demonstrate that high goodness-of-fit values do not necessarily indicate a successful model, because simulation accuracy may be achieved through compensating biases in component variables.
Journal ArticleDOI
African tropical rainforest net carbon dioxide fluxes in the twentieth century
Joshua B. Fisher,Munish Sikka,Stephen Sitch,Philippe Ciais,Benjamin Poulter,David W. Galbraith,Jung-Eun Lee,Chris Huntingford,Nicolas Viovy,Ning Zeng,Anders Ahlström,Mark R. Lomas,Peter Levy,Christian Frankenberg,Sassan Saatchi,Yadvinder Malhi +15 more
TL;DR: The African humid tropical biome constitutes the second largest rainforest region, significantly impacts global carbon cycling and climate, and has undergone major changes in functioning owing to climate and land-use change over the past century, and the inter-model variability as the uncertainty in fluxes is depicted.