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Assessing the roles of temperature, carbon inputs and airborne pollen as drivers of fructification in European temperate deciduous forests

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Abstract

We aimed at identifying which drivers control the spatio-temporal variability of fruit production in three major European temperate deciduous tree species: Quercus robur, Quercus petraea and Fagus sylvatica. We analysed the relations of fruit production with airborne pollen, carbon and water resources and meteorological data in 48 French forests over 14 years (1994–2007). In oak, acorn production was mainly related to temperature conditions during the pollen emission period, supporting the pollen synchrony hypothesis. In beech, a temperature signal over the two previous years eclipsed the airborne pollen load. Fruit production in Quercus and Fagus was related to climate drivers, carbon inputs and airborne pollen through strongly nonlinear, genus-specific relations. Quercus and Fagus also differed as regards the secondary growth versus fructification trade-off. While negative relationships were observed between secondary growth and fruit production in beech, more productive years benefited to both secondary growth and reproductive effort in oak.

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Notes

  1. For example, intra-stand spatial variation of fruit production reached an average coefficient of variation of 106% across ten litter traps representing a 2.5-m² sampling area over 4 years of moderate-to-good acorn production (2013–2016) in a temperate sessile oak forest (FR-Fon ICOS research station, www.barbeau.u-psud.fr) (Berveiller D, Delpierre N. and Dufrêne E., unpublished data).

References

  • Abe T, Tachiki Y, Kon H, Nagasaka A, Onodera K, Minamino K, Han QM, Satake A (2016) Parameterisation and validation of a resource budget model for masting using spatiotemporal flowering data of individual trees. Ecol Lett 19:1129–1139

    Article  PubMed  Google Scholar 

  • Alla AQ, Camarero JJ, Maestro-Martinez M, Montserrat-Marti G (2012) Acorn production is linked to secondary growth but not to declining carbohydrate concentrations in current-year shoots of two oak species. Trees 26:841–850

    Article  CAS  Google Scholar 

  • Almeida-Neto M, Lewinsohn TM (2004) Small-scale spatial autocorrelation and the interpretation of relationships between phenological parameters. J Veg Sci 15:561–568

    Article  Google Scholar 

  • Askeyev OV, Tischin D, Sparks TH, Askeyev IV (2005) The effect of climate on the phenology, acorn crop and radial increment of pedunculate oak (Quercus robur) in the middle Volga region, Tatarstan, Russia. Int J Biometeorol 49:262–266

    Article  PubMed  CAS  Google Scholar 

  • Aubin I, Munson AD, Cardou F, Burton PJ, Isabel N, Pedlar JH, Paquette A, Taylor AR, Delagrange S, Kebli H et al (2016) Traits to stay, traits to move: a review of functional traits to assess sensitivity and adaptive capacity of temperate and boreal trees to climate change. Environ Rev 24:164–186

    Article  Google Scholar 

  • Benito-Garzon M, Fernandez-Manjarres J (2015) Testing scenarios for assisted migration of forest trees in Europe. New For 46:979–994

    Article  Google Scholar 

  • Bogdziewicz M, Fernandez-Martinez M, Bonal R, Belmonte J, Espelta JM (2017a) The Moran effect and environmental vetoes: phenological synchrony and drought drive seed production in a Mediterranean oak. Proce R Soc B Biol Sci 284:20171784

    Article  Google Scholar 

  • Bogdziewicz M, Szymkowiak J, Kasprzyk I, Grewling L, Borowski Z, Borycka K, Kantorowicz W, Myszkowska D, Piotrowicz K, Ziemianin M, Pesendorfer MB (2017b) Masting in wind-pollinated trees: system-specific roles of weather and pollination dynamics in driving seed production. Ecology 98:2615–2625

    Article  PubMed  Google Scholar 

  • Bonnet-Masimbert M (1984) Biologie florale et cycle de reproduction de quelques arbres forestiers. Douglas, pin sylvestre, chêne. In: Pesson P, Louveaux J (eds) Pollinisation et productions végétales. INRA éditions, Paris, pp 219–242

    Google Scholar 

  • Breiman L (2001) RandomForests. Mach Learn 45:5–32

    Article  Google Scholar 

  • Brêthes A, Ulrich E, Lanier M, Clausse M, Colombet M, Curt T, Delahaye-Panchout M, Bermaux B, Douzon G, Duthy X, Guitton J, Nouals D, Savoie JM, Sinet JF, Poulin F, Musch J (1997) Caractéristiques pédologiques des 102 peuplements du réseau. Office National des Forêts, Paris

    Google Scholar 

  • Crone EE, Rapp JM (2014) Resource depletion, pollen coupling, and the ecology of mast seeding. In: Ostfeld RS, Power AG (eds) Year in ecology and conservation biology. Wiley, New York, pp 21–34

    Google Scholar 

  • Davi H, Barbaroux C, Francois C, Dufrene E (2009) The fundamental role of reserves and hydraulic constraints in predicting LAI and carbon allocation in forests. Agric For Meteorol 149:349–361

    Article  Google Scholar 

  • Delpierre N, Soudani K, Francois C, Le Maire G, Bernhofer C, Kutsch W, Misson L, Rambal S, Vesala T, Dufrene E (2012) Quantifying the influence of climate and biological drivers on the interannual variability of carbon exchanges in European forests through process-based modelling. Agric For Meteorol 154:99–112

    Article  Google Scholar 

  • Delpierre N, Berveiller D, Granda E, Dufrene E (2016a) Wood phenology, not carbon input, controls the interannual variability of wood growth in a temperate oak forest. New Phytol 210:459–470

    Article  PubMed  CAS  Google Scholar 

  • Delpierre N, Vitasse Y, Chuine I, Guillemot J, Bazot S, Rutishauser T, Rathgeber CBK (2016b) Temperate and boreal forest tree phenology: from organ-scale processes to terrestrial ecosystem models. Ann For Sci 73:5–25

    Article  Google Scholar 

  • Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carre G, Marquez JRG, Gruber B, Lafourcade B, Leitao PJ, Munkemuller T, McClean C, Osborne PE, Reineking B, Schroder B, Skidmore AK, Zurell D, Lautenbach S (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27–46

    Article  Google Scholar 

  • Drobyshev I, Overgaard R, Saygin I, Niklasson M, Hickler T, Karlsson M, Sykes MT (2010) Masting behaviour and dendrochronology of European beech (Fagus sylvatica L.) in southern Sweden. For Ecol Manag 259:2160–2171

    Article  Google Scholar 

  • Ducousso A, Michaud H, Lumaret R (1993) Reproduction and gene flow in the genus Quercus L. Ann For Sci 50:91s–106s

    Article  Google Scholar 

  • Dufrêne E, Davi H, François C, Le Maire G, Le Dantec V, Granier A (2005) Modelling carbon and water cycles in a beech forest Part I: model description and uncertainty analysis on modelled NEE. Ecol Model 185:407–436

    Article  CAS  Google Scholar 

  • Ehrlinger J (2015) ggRandomForests: random forests for regression. [WWW document] URL. Accessed 1 Sept 2016

  • Evans JS, Murphy MA, Holden ZA, Cushman SA (2009) Modeling Species Distribution and Change Using Random Forest. C.A. Drew et al. (eds.), Predictive Species and Habitat Modeling in Landscape Ecology, Concepts and Applications, https://doi.org/10.1007/978-1-4419-7390-0_8, Springer Science + Business Media, LLC 2011, 139-159

  • Fearer TM, Norman GW, Pack JC Sr, Bittner S, Healy WM (2008) Influence of physiographic and climatic factors on spatial patterns of acorn production in Maryland and Virginia, USA. J Biogeogr 35:2012–2025

    Article  Google Scholar 

  • Fernandez-Martinez M, Belmonte J, Espelta JM (2012) Masting in oaks: disentangling the effect of flowering phenology, airborne pollen load and drought. Acta Oecol 43:51–59

    Article  Google Scholar 

  • Fernández-Martínez M, Vicca S, Janssens IA, Espelta JM, Peñuelas J (2017) The North Atlantic Oscillation synchronises fruit production in western European forests. Ecography 40:864–874

    Article  Google Scholar 

  • Geburek T, Hiess K, Litschauer R, Milasowszky N (2012) Temporal pollen pattern in temperate trees: expedience or fate? Oikos 121:1603–1612

    Article  Google Scholar 

  • George SS (2014) An overview of tree-ring width records across the Northern Hemisphere. Quat Sci Rev 95:132–150

    Article  Google Scholar 

  • Guillemot J, Delpierre N, Vallet P, François C, Martin-StPaul NK, Soudani K, Nicolas M, Badeau V, Dufrêne E (2014) Assessing the effects of management on forest growth across France: insights from a new functional—structural model. Ann Bot. https://doi.org/10.1093/aob/mcu059

    Article  PubMed  PubMed Central  Google Scholar 

  • Guillemot J, Martin-StPaul NK, Dufrêne E, François C, Soudani K, Ourcival JM, Delpierre N (2015) The dynamic of the annual carbon allocation to wood in European tree species is consistent with a combined source–sink limitation of growth: implications for modelling. Biogeosciences 12:2773–2790

    Article  Google Scholar 

  • Guillemot J, Francois C, Hmimina G, Dufrêne E, Martin-StPaul NK, Soudani K, Marie G, Ourcival JM, Delpierre N (2017) Environmental control of carbon allocation matters for modelling forest growth. New Phytol 214:180–193

    Article  PubMed  CAS  Google Scholar 

  • Hacket-Pain AJ, Friend AD, Lageard JGA, Thomas PA (2015) The influence of masting phenomenon on growth-climate relationships in trees: explaining the influence of previous summers’ climate on ring width. Tree Physiol 35:319–330

    Article  PubMed  Google Scholar 

  • Han Q, Kabeya D (2017) Recent developments in understanding mast seeding in relation to dynamics of carbon and nitrogen resources in temperate trees. Ecol Res. https://doi.org/10.1007/s11284-017-1494-8:1-8

    Article  Google Scholar 

  • Han Q, Kabeya D, Iio A, Inagaki Y, Kakubari Y (2014) Nitrogen storage dynamics are affected by masting events in Fagus crenata. Oecologia 174:679–687

    Article  PubMed  Google Scholar 

  • Hedhly A, Hormaza JI, Herrero M (2007) Warm temperatures at bloom reduce fruit set in sweet cherry. J Appl Bot Food Qual 81:158–164

    Google Scholar 

  • Hoch G, Siegwolf RTW, Keel SG, Korner C, Han QM (2013) Fruit production in three masting tree species does not rely on stored carbon reserves. Oecologia 171:653–662

    Article  PubMed  Google Scholar 

  • Hsiao TC, Acevedo E (1974) Plant responses to water deficits, water-use efficiency and drought resistance. Agric Meteorol 14:59–84

    Article  Google Scholar 

  • Hurrell JW, Deser C (2010) North Atlantic climate variability: the role of the North Atlantic oscillation. J Mar Syst 79:231–244

    Article  Google Scholar 

  • Hurrell JW, Kushnir Y, Ottersen G, Visbeck M (2003) An overview of the North Atlantic oscillation. The North Atlantic oscillation: climatic significance and environmental impact. Geophys Monogr 134:1–35

    Google Scholar 

  • Ichie T, Igarashi S, Yoshida S, Kenzo T, Masaki T, Tayasu I (2013) Are stored carbohydrates necessary for seed production in temperate deciduous trees? J Ecol 101:525–531

    Article  CAS  Google Scholar 

  • Ishwaran E (2007) Variable importance in binary regression trees and forests. Electron J Stat 1:519–537

    Article  Google Scholar 

  • Kasprzyk I, Ortyl B, Dulska-Jez A (2014) Relationships among weather parameters, airborne pollen and seed crops of Fagus and Quercus in Poland. Agr For Meteorol 197:111–122

    Article  Google Scholar 

  • Kelly D (1994) The evolutionary ecology of mast seeding. Trends Ecol Evol 9:465–470

    Article  PubMed  CAS  Google Scholar 

  • Kelly D, Sork VL (2002) Mast seeding in perennial plants: why, how, where? Annu Rev Ecol Syst 33:427–447

    Article  Google Scholar 

  • Kelly D, Geldenhuis A, James A, Holland EP, Plank MJ, Brockie RE, Cowan PE, Harper GA, Lee WG, Maitland MJ, Mark AF, Mills JA, Wilson PR, Byrom AE (2013) Of mast and mean: differential-temperature cue makes mast seeding insensitive to climate change. Ecol Lett 16:90–98

    Article  PubMed  Google Scholar 

  • Knops JMH, Koenig WD, Carmen WJ (2007) Negative correlation does not imply a tradeoff between growth and reproduction in California oaks. P Natl Acad Sci 104:16982–16985

    Article  Google Scholar 

  • Koenig WD, Knops JMH (2000) Patterns of annual seed production by northern hemisphere trees: a global perspective. Am Nat 155:59–69

    Article  PubMed  Google Scholar 

  • Koenig WD, Knops JMH, Carmen WJ, Stanback MT, Mumme RL (1996) Acorn production by oaks in central coastal California: influence of weather at three levels. Can J For Res 26:1677–1683

    Article  Google Scholar 

  • Koenig WD, Knops JMH, Carmen WJ, Pearse IS (2015) What drives masting? The phenological synchrony hypothesis. Ecology 96:184–192

    Article  PubMed  Google Scholar 

  • Kon H, Noda T, Terazawa K, Koyarna H, Yasaka M (2005) Proximate factors causing mast seeding in Fagus crenata: the effects of resource level and weather cues. Can J Bot 83:1402–1409

    Article  Google Scholar 

  • Koralewski TE, Wang HH, Grant WE, Byram TD (2015) Plants on the move: assisted migration of forest trees in the face of climate change. For Ecol Manag 344:30–37

    Article  Google Scholar 

  • Körner C (2015) Paradigm shift in plant growth control. Curr Opin Plant Biol 25:107–114

    Article  PubMed  CAS  Google Scholar 

  • Lebourgeois F, Piedallu C (2005) Appréhender le niveau de sécheresse dans le cadre des études stationnelles et de la gestion forestière à partir d’indices bioclimatiques. Rev For Fr 57:331–356

    Article  Google Scholar 

  • Lebourgeois F, Bréda N, Ulrich E, Granier A (2005) Climate-tree-growth relationships of European beech (Fagus sylvatica L.) in the French Permanent Plot Network (RENECOFOR). Trees 19:385–401

    Article  Google Scholar 

  • Lebourgeois F, Pierrat JC, Perez V, Piedallu C, Cecchini S, Ulrich E (2010) Simulating phenological shifts in French temperate forests under two climatic change scenarios and four driving GCMs. Int J Biometeorol 54:563–581

    Article  PubMed  Google Scholar 

  • Lebourgeois F, Gomez N, Pinto P, Mérian P (2013) Mixed stands reduce Abies alba tree-ring sensitivity to summer drought in the Vosges mountains, western Europe. For Ecol Manag 303:61–71

    Article  Google Scholar 

  • Lebret M, Nys C, Forgeard F (2001) Litter production in an Atlantic beech (Fagus sylvatica L.) time sequence. Ann For Sci 58:755–768

    Article  Google Scholar 

  • Liaw A, Wiener M (2002) Classification and regression by randomForest. R News 2–3:18–22

    Google Scholar 

  • Lin Y, Jeon Y (2006) Random forests and adaptive nearest neighbors. J Am Stat Assoc 101:578–590

    Article  CAS  Google Scholar 

  • Lyles D, Rosenstock TS, Hastings A (2015) Plant reproduction and environmental noise: how do plants do it? J Theor Biol 371:137–144

    Article  PubMed  Google Scholar 

  • Mares I, Mares C, Mihailescu M (2002) NAO impact on the summer moisture variability across Europe. Phys Chem Earth 27:1013–1017

    Article  Google Scholar 

  • Martin D, Vazquez-Pique J, Carevic FS, Fernandez M, Alejano R (2015) Trade-off between stem growth and acorn production in holm oak. Trees 29:825–834

    Article  Google Scholar 

  • McLaughlin JM, Greene DW (1991) Fruit and hormones influence flowering of apple. II. Effects of hormones. J Am Soc Hort Sci 116:450–453

    CAS  Google Scholar 

  • Menzel A, Sparks TH, Estrella N, Eckhardt S (2005) ‘SSW to NNE’—North Atlantic Oscillation affects the progress of seasons across Europe. Glob Change Biol 11:909–918

    Article  Google Scholar 

  • Mérian P, Bontemps JD, Bergès L, Lebourgeois F (2011) Spatial variation and temporal instability in climate-growth relationships of sessile oak (Quercus petraea [Matt.] Liebl.) under temperate conditions. Plant Ecol 212:1855–1871

    Article  Google Scholar 

  • Misson L, Degueldre D, Collin C, Rodriguez R, Rocheteau A, Ourcival JM, Rambal S (2011) Phenological responses to extreme droughts in a Mediterranean forest. Glob Change Biol 17:1036–1048

    Article  Google Scholar 

  • Miyazaki Y, Maruyama Y, Chiba Y, Kobayashi MJ, Joseph B, Shimizu KK, Mochida K, Hiura T, Kon H, Satake A (2014) Nitrogen as a key regulator of flowering in Fagus crenata: understanding the physiological mechanism of masting by gene expression analysis. Ecol Lett 17:1299–1309

    Article  PubMed  Google Scholar 

  • Monks A, Kelly D (2006) Testing the resource-matching hypothesis in the mast seeding tree Nothofagus truncata (Fagaceae). Austral Ecol 31:366–375

    Article  Google Scholar 

  • Monks A, Monks JM, Tanentzap AJ (2016) Resource limitation underlying multiple masting models makes mast seeding sensitive to future climate change. New Phytol 210:419–430

    Article  PubMed  Google Scholar 

  • Mueller-Haubold H, Hertel D, Seidel D, Knutzen F, Leuschner C (2013) Climate responses of aboveground productivity and allocation in Fagus sylvatica: a transect study in mature forests. Ecosystems 16:1498–1516

    Article  CAS  Google Scholar 

  • Mueller-Haubold H, Hertel D, Leuschner C (2015) Climatic drivers of mast fruiting in European beech and resulting C and N allocation shifts. Ecosystems 18:1083–1100

    Article  CAS  Google Scholar 

  • Mund M, Kutsch WL, Wirth C, Kahl T, Knohl A, Skomarkova MV, Schulze ED (2010) The influence of climate and fructification on the inter-annual variability of stem growth and net primary productivity in an old-growth, mixed beech forest. Tree Physiol 30:689–704

    Article  PubMed  CAS  Google Scholar 

  • Nussbaumer A, Waldner P, Etzold S, Gessler A, Benham S, Thomsen IM, Jorgensen BB, Timmermann V, Verstraeten A, Sioen G et al (2016) Patterns of mast fruiting of common beech, sessile and common oak, Norway spruce and Scots pine in Central and Northern Europe. For Ecol Manag 363:237–251

    Article  Google Scholar 

  • Oddou-Muratorio S, Davi H (2014) Simulating local adaptation to climate of forest trees with a Physio-demo-genetics model. Evol Appl 7:453–467

    Article  PubMed  PubMed Central  Google Scholar 

  • Oshiro TM, Perez PS, Baranauskas JA (2012) How many trees in a random forest? Mach Learn Data Min Pattern Recognit 7376:154–168

    Article  Google Scholar 

  • Oswald H (1984) Floraison, pollinisation et fructification chez le Hêtre (Fagus sylvatica L.). In: Pesson P, Louveaux J (eds) Pollinisation et productions végétales. INRA éditions, Paris, pp 243–258

    Google Scholar 

  • Ottersen G, Planque B, Belgrano A, Post E, Reid PC, Stenseth NC (2001) Ecological effects of the North Atlantic Oscillation. Oecologia 128:1–14

    Article  PubMed  Google Scholar 

  • Pearse IS, Koenig WD, Knops JMH (2014) Cues versus proximate drivers: testing the mechanism behind masting behavior. Oikos 123:179–184

    Article  Google Scholar 

  • Pearse IS, Koenig WD, Funk KA, Pesendorfer MB (2015) Pollen limitation and flower abortion in a wind-pollinated, masting tree. Ecology 96:587–593

    Article  PubMed  Google Scholar 

  • Pearse IS, Koenig WD, Kelly D (2016) Mechanisms of mast seeding: resources, weather, cues, and selection. New Phytol 212:546–562

    Article  PubMed  CAS  Google Scholar 

  • Peaucelle M (2011) Time trends in forest litterfall production and relationships with environmental changes: an exploratory approach on data collected from 1995 to 2007 in the RENECOFOR monitoring network. Office National des Forêts, Département des Recherches Techniques, France

    Google Scholar 

  • Perez-Ramos IM, Ourcival JM, Limousin JM, Rambal S (2010) Mast seeding under increasing drought: results from a long-term data set and from a rainfall exclusion experiment. Ecology 91:3057–3068

    Article  PubMed  CAS  Google Scholar 

  • Piedallu C, Gégout JC, Bruand A, Seynave I (2011) Mapping soil water holding capacity over large areas to predict potential production of forest stands. Geoderma 160:355–366

    Article  Google Scholar 

  • Piedallu C, Gégout JC, Lebourgeois F, Seynave I (2016) Soil aeration, water deficit, nitrogen availability, acidity and temperature all contribute to shaping tree species distribution in temperate forests. J Veg Sci 27:387–399

    Article  Google Scholar 

  • Prasad AM, Iverson LR, Liaw (2006) Newer classification and regression tree techniques: bagging and random forests for ecological prediction. Ecosystems 9:181–199

    Article  Google Scholar 

  • Rapp JM, McIntire EJB, Crone EE (2013) Sex allocation, pollen limitation and masting in whitebark pine. J Ecol 101:1345–1352

    Article  Google Scholar 

  • Satake A, Bjornstad ON (2008) A resource budget model to explain intraspecific variation in mast reproductive dynamics. Ecol Res 23:3–10

    Article  Google Scholar 

  • Savolainen O, Pyhajarvi T, Knurr T (2007) Gene flow and local adaptation in trees. Annu Rev Ecol Evol Syst 38:595–619

    Article  Google Scholar 

  • Sharp WM, Sprague VG (1967) Flowering and fruiting in white oaks, pistillate flowering acorn development weather and yields. Ecology 48:243–251

    Article  Google Scholar 

  • Silvertown JW (1980) The evolutionary ecology of mast seeding in trees. Biol J Linnean Soc 14:235–250

    Article  Google Scholar 

  • Smaill SJ, Clinton PW, Allen RB, Davis MR (2011) Climate cues and resources interact to determine seed production by a masting species. J Ecol 99:870–877

    Article  Google Scholar 

  • Sork V, Bramble J (1993) Prediction of acorn crops in three species of North American oaks: Quercus alba, Q rubra and Q velutina. Ann For Sci 50:128s–136s

    Article  Google Scholar 

  • Stenseth NC, Ottersen G, Hurrell JW, Mysterud A, Lima M, Chan KS, Yoccoz NG, Adlandsvik B (2003) Studying climate effects on ecology through the use of climate indices: the North Atlantic Oscillation, El Nino Southern Oscillation and beyond. Proc Biol Sci 270:2087–2096

    Article  PubMed  PubMed Central  Google Scholar 

  • Strobl C, Malley J, Tutz G (2009) An introduction to recursive partitioning: rationale, application and characteristics of classification and regression trees, bagging and random forests. Psychol Methods 14:323–348

    Article  PubMed  PubMed Central  Google Scholar 

  • Thornthwaite CW, Mather JR (1955) The water balance, vol 8. Drexel Institute of Climatology Laboratory, Climatology publication, Centerton, pp 1–104

    Google Scholar 

  • Trouvé R, Bontemps JD, Seynave I, Collet C, Lebourgeois F (2015) Stand density, tree social status and water stress influence allocation in height and diameter growth of Quercus petraea (Liebl.). Tree Physiol 35:1035–1046

    Article  PubMed  Google Scholar 

  • Ulrich E (1995) Le réseau RENECOFOR: objectifs et réalisation. Rev For Fr 47:107–124

    Article  Google Scholar 

  • Vacchiano G, Hacket-Pain A, Turco M, Motta R, Maringer J, Conedera M, Drobyshev I, Ascoli D (2017) Spatial patterns and broad-scale weather cues of beech mast seeding in Europe. New Phytol. https://doi.org/10.1111/nph.14600

    Article  PubMed  Google Scholar 

  • Vander Wall SB (2001) The evolutionary ecology of nut dispersal. Bot Rev 67:74–117

    Article  Google Scholar 

  • Vidal J-P, Martin E, Franchisteguy L, Baillon M, Soubeyroux J-M (2010) A 50-year high-resolution atmospheric reanalysis over France with the Safran system. Int J Climatol 30:1627–1644

    Article  Google Scholar 

  • Vitasse Y, Schneider L, Rixen C, Christen D, Rebetez M (2018) Increase in the risk of exposure of forest and fruit trees to spring frosts at higher elevations in Switzerland over the last four decades. Agric For Meteorol 248:60–69

    Article  Google Scholar 

  • Wesolowski T, Rowinski P, Maziarz M (2015) Interannual variation in tree seed production in a primeval temperate forest: does masting prevail? Eur J For Res 134:99–112

    Article  Google Scholar 

  • Wright SJ, Carrasco C, Calderon O, Paton S (1999) The El Nino Southern Oscillation variable fruit production, and famine in a tropical forest. Ecology 80:1632–1647

    Google Scholar 

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Acknowledgements

This paper builds on data gathered over thousands of hours of field and technical work done by: the Office National des Forêts (ONF) foresters, who collected and classified litterfall data; and collaborators of the RNSA network who prepared and analysed pollen observation data. We warmly thank them for their work. We thank Hilaire Martin and Baco Said-Allaoui for their work on early related projects, Sebastien Daviller and Raphaël Aussenac for their helpful technical assistance, and Valentin Journé for pointing papers on the seasonality of fruit production in beech. Finally, we thank two anonymous reviewers for constructive comments that helped improving the paper.

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Contributions

FL, ND and ED designed the research. FL and ND analysed the data and wrote the manuscript, with inputs from ED, SC, SM, LC, and MN collected and prepared the fructification data. FL collected and prepared the ring width and climate data. ND prepared the CASTANEA simulations and the pollen data.

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Correspondence to François Lebourgeois.

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The authors declare that they have no conflict of interest.

Additional information

Communicated by Rüdiger Grote.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Online Resource 1 Ecological characteristics of the RENECOFOR network stands (PDF 12 kb)

Online Resource 2 Climatic characteristics along the longitudinal gradient (PDF 51 kb)

Online Resource 3 Crown, fruit production and phenology in the RENECOFOR network stands (PDF 12 kb)

Online Resource 4 Dendrometric characteristics of the RENECOFOR network stands (PDF 12 kb)

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Online Resource 5 Partial dependence plots of the most important variables driving tree-ring width in oak stands (PDF 45 kb)

Online Resource 6 Evaluation of the autocorrelation of the fruit (a) and pollen (b) time series (PDF 61 kb)

Online Resource 7 Synchrony between stands and changes with distance (PDF 530 kb)

Online Resource 8 Mean predicted acorn biomass obtained with the CGPW model versus observed values (PDF 12 kb)

Online Resource 9 Mean predicted nut biomass obtained with the CGP* model versus observed values (PDF 12 kb)

Online Resource 10 Length of the pollen emission window as related to temperature (PDF 98 kb)

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Online Resource 11 Percentages of the variance of the fructification datasets explained by statistical models (Figure) (PDF 54 kb)

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Online Resource 12 Percentages of the variance of the fructification datasets explained by statistical models (Table) (PDF 16 kb)

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Online Resource 13 Spatial variability of fruit crop in a temperate oak forest (FR-Fon, ICOS research station, www.barbeau.u-psud.fr) (PDF 34 kb)

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Online Resource 14 Partial dependence plots of the seven best significant predictors of fruit biomass for the 5 beech stands with tree-ring width data (PDF 29 kb)

Online Resource 15 Minimal depth variable interactions (PDF 47 kb)

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Lebourgeois, F., Delpierre, N., Dufrêne, E. et al. Assessing the roles of temperature, carbon inputs and airborne pollen as drivers of fructification in European temperate deciduous forests. Eur J Forest Res 137, 349–365 (2018). https://doi.org/10.1007/s10342-018-1108-1

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