Our Publications

Haas, O., Keeping, T., Gomez-Dans, J., Prentice, I.C., Harrison, S.P. 2024. The global drivers of wildfire. Frontiers in Environmental Science, https://doi.org/10.3389/fenvs.2024.1438262

Jeong, S., Ryu, Y., Gentine, P., Lian, X., Fang, J., Li, X., Dechant, B., Kong, J., Choi, W., Jiang, C., Keenan, T.I., Harrison, S.P., Prentice, I.C. 2024. Persistent global greening over the last four decades using novel long-term vegetation index data with enhanced temporal consistency Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2024.114282

Keeping, T., Harrison, S.P., Prentice, I.C. Modelling the daily probability of wildfire occurrence in the continguous United States. 2024. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ad21b0

Cruz-Silva, E., Harrison, S.P., Prentice, I.C., Marinova, E., 2023. Holocene vegetation dynamics of the Eastern Mediterranean region: Old controversies addressed by a new analysis. Journal of Biogeography DOI: 10.1111/jbi.14749

Ren, Y., Wang, H., Harrison, S.P., Prentice, I.C., Atkin, O.K., Smith, N.G., Mengoli, G., Stefanski, A., Reich, P.B., 2023. Reduced global plant respiration due to the acclimation of leaf dark respiration coupled with photosynthesis New Phytologist doi: 10.1111/nph.19355

Kaushal, N., Lechleitner, F.A., Wilhelm, M., Bühler, J.C., Braun, K., Ait Brahim, Y., Azennoud, K., Baker, A., Burstyn, Y., Comas-Bru, L., Goldsmith, Y., Harrison, S.P., Hatvani, I.G., Rehfeld, K., Ritzau, M., Skiba, V., Stoll, H.M., Szűcs, J.G., Treble, P.C., Azevedo, V., Baker, J.L., Chawchai, S., Columbu, A., Endres, L., Hu, J., Kern, Z., Kimbrough, A., Koç, K., Markowska, M., Martrat, B., Masood Amad, S., Nehme, C., Novello, V.F., Pérez-Mejías, C., Ruan, J., Sekhon, N., Sinha, N., Tadros, C., Tiger, B.H., Warken, S., Wolf, A., Zhang, H., and data contributors, 2023. SISALv3: A global speleothem stable isotope and trace element database Earth System Science Data, https://doi.org/10.5194/essd-2023-364

Harrison, S.P., Cruz-Silva, E., Haas, O., Liu, M., Parker, S., Qiao, S., Sweeney, L., 2023. Tools and approaches to addressing the climate-humans nexus during the Holocene. Proceedings of the 12th International Congress on the Archaeology of the Ancient Near East (ICAANE) Congress, Volume 1: Environmental Archaeology, Hammering the Material World, Cognitive Archaeology, Modeling the Past, Networked Archaeology, Endangered Cultural Heritage, (Machetti, N., Campeggi, M., Cavaliere, F., D’Orazio, C., Giacos, G., Mariani, E., Eds), pp.4-43, Harrassowitz Verlag. Doi: 10.13173/9783447118736

Cruz-Silva, E., Harrison, S.P., Prentice, I.C., Bartlein, P.J., Marinova, E., Renssen, H., Zhang, Y., 2023. Pollen-based reconstructions of Holocene climate trends in the eastern Mediterranean region. Climate of the Past

Meng, M., Harrison, S.P., Jie, D., Li, N., Liu, B., Li, D., Gao, G., Niu, H., 2023. Climate and fire drivers of forest composition and openness in the Changbai Mountains since the Late Glacial. Forest Ecosystems 10: 100127, https://doi.org/10.1016/j.fecs.2023.100127

Mengoli, G., Harrison, S.P., Prentice, I.C., 2023. A global function of climatic aridity accounts for soil moisture stress on carbon allocation. Geoscientific Model Development Discussions, doi.org/10.5194/egusphere-2023-1261

Xu, H., Wang, H., Prentice, I.C., Harrison, S.P. Leaf carbon and nitrogen stoichiometric variation along environmental gradients. Biogeosciences Discussions https://doi.org/10.5194/bg-2023-87

Haas, O., Prentice, I.C., Harrison, S.P., 2023. The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate. Biogeosciences 20: 3981-3995, https://doi.org/10.5194/bg-20-3981-2023.

Shen, Y., Cai, W., Prentice, I.C., Harrison, S.P., 2023. Community abundance of resprouting in woody plants reflects fire return time, intensity and type. Forests 14: 878, https://doi.org/10.3390/ f14050878

Qiao, S., Harrison, S.P., Prentice, I.C., Wang, H., 2023. Optimality-based modelling of wheat sowing dates globally. Agricultural Systems 206: 103608.

The SPECIAL Modern Pollen Data Set for Climate Reconstructions, version 2 (SMPDSv2). University of Reading. Dataset.

https://doi.org/10.17864/1947.000389

n.b Wang, H., Harrison, S.P., Li, M., Prentice, I.C., Qiao, S., Wang, R., Xu, H., Mengoli, G., Peng, Y., Yang, Y., 2022.

The China Plant Trait Database Version 2.0. Scientific Data 9, 769,

https://doi.org/10.1038/s41597-022-01884-4

Wang, H., Harrison, S.P., Li, M., Prentice, I.C., Qiao, S., Wang, R., Xu, H., Mengoli, G., Peng, Y., Yang, Y., 2022. The China Plant Trait Database Version 2.0. Scientific Data 9, 769, https://doi.org/10.1038/s41597-022-01884-4

Diaz, S., Kattge, J., J. Cornelissen, J.H.C., Wright, I., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Prentice, I.C., Garnier, E., Boenisch, G., Westoby, M., Poorter, H., Reich, P., Moles, A., Dickie, J., Zanne, A., Chave, J., Wright, S., Sheremetiev, S., Jactel, H., Baraloto, C., Cerabolini, B., Pierce, S., Shipley, B., Casanoves, F., Joswig, J., Günther, A., Falczuk, V., Rüger, N., Mahecha, M., Gorné, L., Amiaud, B., Atkin, O., Bahn, M., Baldocchi, D., Beckmann, M., Blonder, B., Bond, W., Bond-Lamberty, B., Brown, K., Burrascano, S., Byun, C., Campetella, G., Cavender-Bares, J., Chapin, III, F., Choat, B., Coomes, D., Cornwell, W., Craine, J., Craven, D., Dainese, M., de Araujo, A., de Vries, F., Domingues, T., Enquist, B., Fagúndez, J., Fang, J., Fernández-Méndez, F., Fernandez-Piedade, M., Ford, H., Forey, E., Freschet, G., Gachet, S., Gallagher, R., Green, W., Guerin, G., Gutiérrez, A., Harrison, S.P., Hattingh, W., He, T., Hickler, T., Higgins, S.I., Higuchi, P., Ilic, J., Jackson, R., Jalili, A., Jansen, S., Koike, F., König, C., Kraft, N., Kramer, K., Kreft, H., Kühn, I., Kurokawa, H., Lamb, E.G., Laughlin, D., Leishman, M., Lewis, S., Louault, F., Malhado, A., Manning, P., Meir, P., Mencuccini, M., Messier, J., Miller, R.,  Minden, V., Molofsky, J., Montgomery, R., Montserrat-Martí, G., Moretti, M., Müller, S., Niinemets, Ü., Ogaya, R., Öllerer, K., Onipchenko, V., Onoda, Y., Ozinga, W., Pausas, J., Peco, B., Penuelas, J., Pillar, V., Pladevall, C., Römermann, C., Sack, L., Salinas, N., Sandel, B., Sardans, J., Schamp, B.S., Scherer-Lorenzen, M., Schulze, E-D., Schweingruber, F., Shiodera, S., Sosinski Jr, Ê., Soudzilovskaia, N., Spasojevic, M., Swaine, E., Swenson, N., Tautenhahn, S., Thompson, K., Totte, A., Urrutia, R., Valladares, F., Bodegom, P., Vasseur, F.,  Verheyen, K., Vile, D., Violle, C., von Holle, B., Weigelt, P., Weiher, E., Wiemann, M., Williams, M., Wright, J., Zotz, G., 2022. The global spectrum of plant form and function: enhanced species-level trait dataset. Scientific Data 9: 755, https://doi.org/10.1038/s41597-022-01774-9

Zhu, Z., Wang, H., Harrison, S.P., Prentice, I.C., Qiao, S., Tan, S., 2022. Optimality principles explaining divergent responses of alpine vegetation to environmental change Global Change Biology 29: 126-142, doi: 10.111/gcb.16459

Pini, R., Furlanetto, G., Vallé, F., Badino, F., Wick, L., Anselmetti, F.S., Bertuletti, P., Fusi, N., Morlock, M.A., Delmonte, B., Harrison, S.P., Maggi, V., Ravazzi, C., 2022. Linking North Atlantic and Alpine Last Glacial Maximum climates via a high-resolution pollen-based subarctic forest steppe record. Quaternary Science Reviews 294: 107759, https://doi.org/10.1016/j.quascirev.2022.107759

Malmierca-Vallet, I., Sime, L.C., Abe-Ouchi, A., Bouttes, N., Ditlevsen, P., Erb, M.P., Gregoire, L., Guo, C., Harrison, S.P., Kageyama, M., Klockmann, M., Lambert, F., Nisancioglu, K.H., Oliver, K., Peltier, R., Rehfeld, K., Robinson, A.J., Tarasov, L., Valdes, P.J., Vettoretti, G., Weitzel, N., Zhang, X., 2022. Dansgaard-Oeschger events in climate models: Review and baseline MIS3 protocol. Climate of the Past Discussions https://doi.org/10.5194/egusphere-2022-707. Climate of the Past 19: 915-942, https://doi.org/10.5194/cp-19-915-2023

Liu, M., Prentice, I.C., Menviel, L., Harrison, S.P., 2022. Past rapid warmings as a constraint on greenhouse-gas climate feedbacks. Nature, Communications Earth and Environment 3: 196, https://doi.org/10.1038/s43247-022-00536-0

Cheng, S., Jin, Y., Harrison, S.P., Quilodrán-Casas, C.,Prentice, I.C., Guo, Y-K., Arcucci, R., 2022. Parameter flexible wildfire prediction using machine learning techniques: forward and inverse modelling. Remote Sensing 14: 3228, doi.org/10.3390/rs14133228

Sweeney, L., Harrison, S.P., Vander Linden, M., 2022. Assessing anthropogenic influence on fire history during the Holocene in the Iberian Peninsula. Quaternary Science Reviews 287: 107562, https://doi.org/10.1016/j.quascirev.2022.107562

Haas, O., Prentice, I.C., Harrison, S.P., 2022. Global environmental controls on wildfire burnt area, size and intensity. Environmental Research Letters 17: 065004, https://doi.org/10.1088/1748-9326/ac6a69

Cruz-Silva, E., Harrison, S.P., Marinova, E., Prentice, I.C., 2022. A new method based on surface-sample pollen data for reconstructing palaeovegetation patterns. Journal of Biogeography 49: 1381-1396, doi: 10.1111/jbi.14448.

Prentice, I.C., Villegas-Diaz, R., Harrison, S.P., 2022. Accounting for atmospheric carbon dioxide variations in pollen-based reconstruction of past hydroclimates Global and Planetary Change 211:103790, https://doi.org/10.1016/j.gloplacha.2022.103790

Wang, H., Wang, R., Harrison, S.P., Prentice, I.C., 2022. Leaf morphological traits as adaptations to multiple climate gradients. Journal of Ecology 110: 1344-1355, DOI: 10.1111/1365-2745.13873

Parker, S.E. and Harrison, S.P., 2022. The timing, duration and magnitude of the 8.2 ka event in global speleothem records. Science Communications 12: 10542, https://doi.org/10.1038/s41598-022-14684-y

Liu, M., Shen, Y., González-Sampériz, P., Gil-Romera, G., ter Braak, C.J.F. Prentice, I.C., Harrison, S.P., 2021/2023. Holocene climates of the Iberian Peninsula. Climate of the Past 19: 803-834, https://doi.org/10.5194/cp-19-803-2023.

Mengoli, G., Agusti-Panareda, A. Boussetta, S., Harrison, S.P., Trotta, C., Prentice, I.C., 2022. Ecosystem photosynthesis in land-surface models: a first-principles approach incorporating acclimation. Journal of Advances in Modelling Earth Systems 14, e2021MS002767. https://doi. org/10.1029/2021MS002767

Harrison, S.P., Villegas-Diaz, R., Cruz-Silva, E., Gallagher, D., Kesner, D., Lincoln, P., Shen, Y., Sweeney, L., Colombaroli, D., Ali, A., Barhoumi, C., Bergeron, Y., Blyakharchuk, T., Bobek, P., Bradshaw, R., Clear, J.L., Czerwiński, S., Daniau, A-L., Dodson, J., Edwards, K.J., Edwards, M.E., Feurdean, A., Foster, D., Gajewski, K., Gałka, M., Garneau, M., Giesecke, T.,  Gil Romera, G., Girardin, M.P., Hoefer, D., Huang, K., Inoue, J., Jamrichová, E., Jasiunas, N., Jiang, W., Jiménez-Moreno, G., Karpińska-Kołaczek, M., Kołaczek, P., Kuosmanen, N., Lamentowicz, M., Lavoie, M., Li, F., Li, J., Lisitsyna, O., López-Sáez, J.A., Luelmo-Lautenschlaeger, R., Magnan, G., Magyari, E.K., Maksims, A., Marcisz, K., Marinova, E., Marlon, J., Mensing, S., Miroslaw-Grabowska, J., Oswald, W., Pérez-Díaz, S., Pérez-Obiol, R., Piilo, S., Poska, A., Qin, X., Remy, C.C., Richard, P.J.H., Salonen, S., Sasaki, N., Schneider, H., Shotyk, W., Stancikaite, M., Šteinberga, D., Stivrins, N., Takahara, H., Tan, Z., Trasune, L., Umbanhowar, C.E., Väliranta, M., Vassiljev, J., Xiao, X., Xu, Q., Xu, X., Zawisza, E., Zhao, Y., Zhou, Z., Paillard, J., 2022. The Reading Palaeofire database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records Earth System Science Data 14: 1109-1124 https://doi.org/10.5194/essd-14-1109-2022

Shen, Y., Sweeney, L., Liu, M., Lopez Saez, J.A., Pérez-Díaz, S., Luelmo-Lautenschlaeger, R., Gil-Romero, G., Hoefer, D., Jiminez Moreno, G., Schneider, H., Prentice, I.C., Harrison, S.P., 2022. Reconstructing burnt area during the Holocene: An Iberian case study. Climate of the Past 18: 1189-1201.

Pollen data and charcoal data of the Iberian Peninsula. University of Reading Dataset.

http://dx.doi.org/10.17864/1947.294

Harrison, S.P, Villegas-Diaz, R., Lincoln, P., Kesner, D., Cruz-Silva, E., Sweeney, L., Shen, Y. and Gallagher, D. (2021):

The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.319;

https://researchdata.reading.ac.uk/id/eprint/319

Parker, S.E., Harrison, S.P., Braconnot, P., 2021. Speleothem records of monsoon interannual-interdecadal variability through the Holocene. Environmental Research Communications 3: 121002. https://doi.org/10.1088/2515-7620/ac3eaa

Pawlik, Ł., Harrison, S.P., 2021. Modeling and prediction of wind damage in forest ecosystems of the Sudety Mountains, SW Poland. Science of the Total Environment http://dx.doi.org/10.1016/j.scitotenv.2021.151972

Harrison, S.P., Prentice, I.C., Bloomfield, K., Dong, N., Forkel, M., Forrest, M., Ningthoujam, R.K., Pellegrini, A., Shen, Y., Baudena, M., Cardoso, A.W., Huss, J.C., Joshi, J., Oliveras, I., Pausas, J.G., Simpson, K.J., 2021. Understanding and modelling wildfire regimes: an ecological perspective. Environmental Research Letters 16: 125008, https://doi.org/10.1088/1748-9326/ac39be 

Qiao, S., Wang, H., Prentice, I.C., Harrison, S.P., 2021. Optimality-based mapping of global potential wheat yield. Environmental Research Letters 16: 114013, https://doi.org/10.1088/1748-9326/ac2e38

Ford, A.E.S., Harrison, S.P., Kountouris, Y., Millington, J.D.A., Mistry, J., Perkins, O., Rabin, S., Rein, G., Schreckenberg, K., Smith, C., Smith, T.E.L., Yadav, K., 2021. Modelling human-fire interactions: combining alternative perspectives and approaches. Frontiers in Environmental Science 9: 649835, doi: 10.3389/fenvs.2021.649835

Xu, H., Wang, H. Prentice, I.C., Harrison, S.P., Wright, I.J., 2021. Coordination of plant hydraulic and photosynthetic traits: confronting optimality theory with field measurements.  New Phytologist doi: 10.1111/nph.17656

Carré, M., Braconnot, P., Elliot, M., d’Agostino, R., Schurer, A., Shi, X., Marti, O., Lohmann, G., Jungclaus, J., Cheddadi, R., Abdelkadert di Carlo, I., Cardich, J., Ochoa, D., Salas Gismondi, R., Pérez, A., Romero, P.E., Turcq, B., Corrège, T., Harrison, S.P., 2021. High-resolution marine data and transient simulations support orbital forcing of ENSO amplitude since the mid-Holocene. Quaternary Science Reviews 268, 107125. https://doi.org/10.1016/j.quascirev.2021.107125 

Dong, X., Li, F., Lin, Z., Harrison, S.P., Chen, Y., Kug, J-S., 2021. Climate influence on the 2019 fires in Amazonia. Science of the Total Environment 794: 148718, https://doi.org/10.1016/j.scitotenv.2021.148718

Harrison, S.P., Cramer, W., Franklin, O., Prentice, I.C., Wang, H., Brännström, Å., de Boer, H., Dieckmann, U., Joshi, J., Keenan, T.F., Lavergne, A., Manzoni, S., Mengoli, G., Morfopoulos, C., Peñuelas, J., Pietsch, S., Rebel, K.T., Ryu, Y., Smith, N.G., Stocker, B.D., Wright, I.J., 2021. Eco-evolutionary optimality as a means to improve vegetation and land-surface models. New Phytologist 231: 2125-2141, doi: 10.1111/nph.17558

Xu, H., Wang, H., Prentice, I.C., Harrison, S.P., Wang, G., Sun, X., 2021. Predictability of leaf traits with climate and elevation: a case study in Gongga Mountain, China. Tree Physiology https://doi.org/10.1093/treephys/tpab003

De Cort, G., Chevalier, M., Burrough, S., Chen, C.Y., Harrison, S.P., 2021. An uncertainty-focused database approach to extract robust spatiotemporal trends from qualitative and discontinuous lake-status histories. Quaternary Science Reviews 258, 106870.

Morrison, K.D., Hammer, E., Boles, O., Madella, M., Whitehouse, N., Gaillard-Lemdahl, M-J., Bates, J., Widgren, M., Vander Linden, M., Merlo, S., Yao, A., Popova, L., Hill, A.C., Antolin, F., Bauer, A., Biagetti, S., Bishop, R.R., Buckland, P., Cruz, P., Dreslerová, D., Dusseldorp, G., Ellis, E., Filipovic, D., Foster, T., Hannaford, M.J., Harrison, S.P., Hazarika, M., Herold, H., Hilpert, J., Kaplan, J.O., Kay, A., Klein Goldewijk, K., Kolár, J., Kyazike, E., Laabs, J., Lancelotti, C., Lane, P., Lawrence, D., Lewis, K., Lombardo, U., Lucarini, G., Arroyo-Kalin, M., Marchant, R., McClatchie, M., McLeester, M., Mooney, S., Moskal-del Hoyo, M., Navarrete, V., Ndiema, E., Nowak, M., Out, W.A., Petrie, C., Phelps, L.N., Pinke, Z., Russell, T., Sluyter, A., Styring, A.K., Veerasamy, S., Welton, L., Zanon, M., 2021. Mapping past human land use using archaeological data: a new classification for global land use synthesis and data harmonization. PLOS One 16(4): e0246662. https://doi.org/10.1371/ journal.pone.0246662  

Climate reconstructions for the SMPDSv1 modern pollen data set.

doi: 10.5281/zenodo.3605003.

Comas-Bru, L., Rehfeld, K., Roesch, C., Amirnezhad-Mozhdehi, S., Harrison, S.P., Atsawawaranunt, K., Ahmad, S.M., Ait Brahim, Y., Baker, A., Bosomworth, M., Breitenbach, S.F.M., Burstyn, Y., Columbu, A., Deininger, M., Demeny, A., Dixon, B., Fohlmeister, J., Hatvani, I.G., Hu, J., Kaushal, N., Kern, Z., Labuhn, I., Lechleitner, F.A., Lorrey, A., Martrat, B., Novello, V.F., Oster, J., Perez-Mejias, C., Scholz, D., Scroxton, N., Sinha, H., Ward, B.M., Warken, S., Zhang, H., and SISAL Working Group members. 2020.

SISALv2: a comprehensive speleothem isotope database with multiple age-depth models. Earth System Science Data, 12(4), 2579-2606.

doi: 10.5194/essd-12-2579-2020.

Liu, M., Prentice, I.C., ter Braak, C.J.F, Harrison, S.P., 2020. An improved statistical approach for reconstructing past climates from biotic assemblages. Proceedings of the Royal Society A, Mathematics A 476: 20200346, 20200346, https://doi.org/10.1098/rspa.2020.0346  

Kuhn-Régnier, A., Voulgarakis, A., Nowack, P., Forkel, M., Prentice, I.C., Harrison, S.P., 2021. Quantifying the importance of antecedent fuel-related vegetation properties on burned area using random forests. Biogeosciences 18: 3861-3879, https://doi.org/10.5194/bg-18-3861-2021 

Song, X., Li, F., Harrison, S.P., Luo, T., Ni, J., Forrest, M., Hantson, S., Lasslop, G., Mangeon, S., Melton, J.R., Yue, C., Arneth, A., Hickler, T., Sitch, S., Xu, X., 2020. Assessment of vegetation biomass in China for the 20^th based on a combination of multi-model simulations and field observations. Environmental Research Letters 15: 094026.

Parker, S., Harrison, S.P., Comas-Bru, L., Kaushal, N., LeGrande, A., Werner, M., 2020/2021. A data-model approach to interpreting speleothem oxygen isotope records from monsoon regions on orbital timescales. Climate of the Past Discussions, https://doi.org/10.5194/cp-2020-78. A data-model approach to interpreting speleothem oxygen isotope records from monsoon regions. Climate of the Past 17: 1119-1138, https://doi.org/10.5194/cp-17-1119-2021.

SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 1b. University of Reading. Dataset.

http://dx.doi.org/10.17864/1947.189

Harrison, S.P., 2019.

Modern Pollen Data for Climate Reconstructions, version 1 (SMPDS). University of Reading Dataset.

http://dx.doi.org/10.17864/1947.194. https://researchdata.reading.ac.uk/id/eprint/194

Cleator, S., Harrison, S.P., Nicholson, N., Prentice, I.C. Roulstone, I., 2019.

A new multi-variable benchmark for Last Glacial Maximum climate simulations. University of Reading Dataset.

http://dx.doi.org/10.17864/1947.244

Wei, D., Harrison, S.P. and Prentice, I. C., 2019.

The climatic space of European pollen taxa. University of Reading. Dataset.

http://dx.doi.org/10.17864/1947.204

http://dx.doi.org/10.17864/1947.204

Harrison, S.P, González-Sampériz, P. and Gil-Romera, G., 2019.

Fossil pollen data for climate reconstructions from El Cañizar de Villarquemado. University of Reading. Dataset. http://dx.doi.org/10.17864/1947.219;

https://researchdata.reading.ac.uk/id/eprint/219

SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database Version 1.0. University of Reading Dataset.

http://dx.doi.org/10.17864/1947.139

The China Plant Trait Database. Dataset #871819.

(https://doi.pangaea.de/10.1594/PANGAEA.871819)

Harrison, S.P. and Marinova, E., 2017.

EMBSeCBIO modern pollen biomisation. University of Reading Dataset.

http://dx.doi.org/10.17864/1947.109.