The global extent of the grassland biome and implications for the terrestrial carbon sink

Acknowledgements: We thank each of the researchers who have contributed data and ideas to this paper. This study was largely funded by the Canada First Research Excellence Fund—University of Guelph (‘Food from Thought’), with support from the Natural Sciences and Engineering Research Council of Canada (A.S.M.). M.B.S. acknowledges funding from the Swedish Research Council (2021-05767), FORMAS (2020-01073) and the European Union’s Horizon Program project ILLUQ (no. 101133587). Funding was also provided to E.W.S. and E.T.B. by the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and the Long-Term Ecological Research (NSF-DEB-1234162 to Cedar Creek LTER) programmes, and the Institute on the Environment (DG-0001-13). Y.M.B. acknowledges financial support from Research Ireland, Northern Ireland’s Department of Agriculture, Environment and Rural Affairs (DAERA), UK Research and Innovation (UKRI) via the International Science Partnerships Fund (ISPF) under grant number [22/CC/11103] at the Co-Centre for Climate + Biodiversity + Water. N.E. was supported by the German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig iDiv funded by the German Research Foundation (DFG– FZT 118, 202548816), and funding by the DFG (Ei 862/29-1). S.C.P. acknowledges funding from NSF OCE-1832178.

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Lancaster EPrints (Lancaster University)
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2025-03-06
Primary Topic
Remote Sensing in Agriculture
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article

The global extent of the grassland biome and implications for the terrestrial carbon sink

A. S. MacDougall, J. Sulik, A. Koltz, C. Carbutt et al.
Lancaster EPrints (Lancaster University)
Remote Sensing in Agriculture
article

The global extent of the grassland biome and implications for the terrestrial carbon sink

A. S. MacDougall, J. Sulik, A. Koltz, C. Carbutt, K. J. Bloodworth, A. A. Wolf, J. Monsimet, W. Z. Li, M. Liang, C. Estrada, O. Valkó, S. C. Pennings, T. Ohlert, F. Malfasi, A. Loydi, M. B. Siewert, A. N. Nerlekar, S. E. Koerner, S. Bagchi, M. A. Carniello, M. Abedi, J. Pascual, G. Titcomb, A. L. Young, N. J. Day, N. Herdoiza, S. Kruse, C. A. Arnillas, E. Pérez-García, K. Kirkman, D. Naidu, I. Sereda, J. L. Hierro, F. Pijcke, A. Aleksanyan, K. J. Elgersma, C. J. Lortie, D. M. Small, E. W. Seabloom, B. H. P. Rosado, P. Lorenzo, A. T. Clark, J. A. Meave, D. E. Pearson, G. F. ‘Ciska’ Veen, N. A. Havrilchak, Y. K. Ortega, I. Slette, K. C. Flynn, N. Eisenhauer, A. H. Halbritter, G. R. Oñatibia, K. J. Komatsu, S. Basto, P. L. Peri, R. E. Quiroga, M. C. Caldeira, L. Laanisto, L. S. Lannes, E. T. Borer, A. Jentsch, S. Zong, F. Boscutti, B. I. Koura, C. M. Bruschetti, H. S. Young, P. Macek, G. R. Wheeler, L. H. Zeglin, A. Lkhagva, N. T. Girkin, B. Deák, M. Petit Bon, D. Tian, T. Chaudhary, H. Martinson, K. Hopping, P. Mariotte, B. Vanzant, M. Akasaka, W. Luo, O. Eren, K. Z. Mganga, C. Stevens, K. S. Thornton, A. Martínez-Blancas, J. Alberti, D. W. Rowley, P. A. Fay, D. Gargano, T. O. Muraina, J. M. H. Knops, S. Cousins, M. Tedder, C. Martorell, R. S. Terry, S. Niu, E. A. R. Welti, J. I. Ramirez, L. López-Olmedo, J. Kerby, G. Fayvush, E. H. Boughton, P. Wilfahrt, C. Roscher, A. Dixon, S. O. Jimoh, L. Gherardi, S. M. Prober, B. Osborne, L. W. C. Hagenberg, D. García Meza, Y. X. Song, G. Campetella, A. Petraglia, N. Cannone, L. E. Suarez Jimenez, I. Oliveras Menor, L. Biederman, K. J. Zhu, M. N. Bugalho, M. Carbognani, S. Medina-Villar, Q. Chen, S. Basant, N. G. Smith, Y. M. Buckley, P. Wolff, J. P. Martina, A. A. Amisu, S. Palpurina, A. Eskelinen, M. Cervellini, P. Graff, S. Reed, E. Hersch-Green, J. Dietrich, M. Ayer, J. D. Bakker, R. Virtanen, M. Dalle Fratte, H. L. Buckley, L. González, T. M. Anderson, M. te Beest
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Abstract

Acknowledgements: We thank each of the researchers who have contributed data and ideas to this paper. This study was largely funded by the Canada First Research Excellence Fund—University of Guelph (‘Food from Thought’), with support from the Natural Sciences and Engineering Research Council of Canada (A.S.M.). M.B.S. acknowledges funding from the Swedish Research Council (2021-05767), FORMAS (2020-01073) and the European Union’s Horizon Program project ILLUQ (no. 101133587). Funding was also provided to E.W.S. and E.T.B. by the National Science Foundation Research Coordination Network (NSF-DEB-1042132) and the Long-Term Ecological Research (NSF-DEB-1234162 to Cedar Creek LTER) programmes, and the Institute on the Environment (DG-0001-13). Y.M.B. acknowledges financial support from Research Ireland, Northern Ireland’s Department of Agriculture, Environment and Rural Affairs (DAERA), UK Research and Innovation (UKRI) via the International Science Partnerships Fund (ISPF) under grant number [22/CC/11103] at the Co-Centre for Climate + Biodiversity + Water. N.E. was supported by the German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig iDiv funded by the German Research Foundation (DFG– FZT 118, 202548816), and funding by the DFG (Ei 862/29-1). S.C.P. acknowledges funding from NSF OCE-1832178.

Lancaster EPrints (Lancaster University)
National Science Foundation, Canada First Research Excellence Fund, Natural Sciences and Engineering Research Council of Canada
Life in Land
Openalex Percentile: Top 23%
Remote Sensing in Agriculture
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