Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients

Qiu, Tong; Acuña, Marie‐Claire Aravena; Ascoli, Davide; Bergeron, Yves; Bogdziewicz, Michał; Boivin, Thomas; Bonal, Raúl; Caignard, Thomas; Cailleret, Maxime; Calama, Rafael; Calderón, Sergio Donoso; Camarero, J. Julio; Chang‐Yang, Chia‐Hao; Chave, Jérôme; Chianucci, Francesco; Courbaud, Benoı̂t; Cutini, Andrea; Das, Adrian J.; Delpierre, Nicolas; Delzon, Sylvain; Dietze, Michael C.; Dormont, Laurent; Espelta, Josep María; Fahey, Timothy J.; Farfán-Ríos, William; Franklin, Jerry F.; Gehring, Catherine A.; Gilbert, Gregory S.; Gratzer, Georg; Greenberg, Cathryn H.; Guignabert, Arthur; Guo, Qinfeng; Hacket‐Pain, Andrew; Hampe, Arndt; Han, Qingmin; Holík, Jan; Hoshizaki, Kazuhiko; Ibáñez, Inés; Johnstone, Jill F.; Journé, Valentin; Kitzberger, Thomas; Knops, Johannes M. H.; Künstler, Georges; Kurokawa, Hiroko; Lageard, Jonathan G. A.; LaMontagne, Jalene M.; Lefèvre, François; Leininger, Theodor D.; Limousin, Jean‐Marc; Lutz, James A.; Macias, Diana; Mårell, Anders; McIntire, Eliot J. B.; Moore, Christopher; Moran, Emily; Motta, Renzo; Myers, Jonathan A.; Nagel, Thomas A.; Naoe, Shoji; Noguchi, Mahoko; Oguro, Michio; Parmenter, Robert; Pearse, Ian S.; Pérez-Ramos, Ignacio Manuel; Piechnik, Łukasz; Podgórski, Tomasz; Poulsen, John R.; Redmond, Miranda D.; Reid, Chantal D.; Rodman, Kyle C.; Rodríguez‐Sánchez, Francisco; Šamonil, Pavel; Sanguinetti, Javier; Scher, C. Lane; Seget, Barbara; Sharma, Shubhi; Shibata, Mitsue; Silman, Miles R.; Steele, Michael; Stephenson, Nathan L.; Straub, Jacob N.; Sutton, Samantha; Swenson, Jennifer J.; Swift, Margaret; Thomas, Peter A.; Uriarte, María; Vacchiano, Giorgio; Whipple, Amy V.; Whitham, Thomas G.; Wion, Andreas P.; Wright, S. Joseph; Zhu, Kai; Zimmerman, Jess K.; Żywiec, Magdalena; Clark, James S.

doi:10.1038/s41477-023-01446-5

Cited by 6 publications

(14 citation statements)

References 84 publications

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“…Volatility could be a key metric, especially for individual-level data that will likely become more prevalent in the coming years. Volatility can also be used in comparative species-or populationlevel studies, but in those cases, it will require the estimation of absolute values of annual seed production (Qiu et al, 2023). This is now possible using the mastif model that accommodates both seed trap and crop count data to estimate absolute seed production of individual trees (Clark et al, 2019;Journé et al, 2022;Bogdziewicz et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…This period variance captures the quasi-periodic nature of masting, being broad where the period is unpredictable (Qiu et al, 2023).…”

Section: Volatilitymentioning

confidence: 99%

“…Volatility is evaluated from records of annual seed production f. We recommend evaluation on log-transformed f to avoid overemphasizing the contributions of hyper seed producers (Qiu et al, 2023). Monitoring length of individual trees varies within and between studies, being influenced by plant death, or study period.…”

Section: Volatilitymentioning

confidence: 99%

“…The metrics termed volatility and periodicity provide a way to compare time-series variation between trees, allowing scaling-up to populations, and species (Qiu et al, 2023). The term volatility was introduced to distinguish it from terms related to variability or variance (such as CV or lag-1 approaches; Fernández-Martı ´nez & Peñuelas, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…We anticipate that this could become a significant issue, particularly in datasets at the individual level, where zero values often dominate (Bogdziewicz et al, 2020c). Recently, alternative metrics such as volatility and periodicity were introduced (Qiu et al, 2023) to address these limitations and better capture the effects of lags and individual tree differences. However, the behavior of the CV remains uncertain without direct comparisons.…”

Section: Introductionmentioning

confidence: 99%

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How to measure mast seeding?

et al. 2023

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Summary The periodic production of large seed crops, or masting, is a widespread phenomenon in perennial plants. This behavior can enhance the reproductive efficiency of plants, leading to increased fitness, and produce ripple effects on food webs. While variability from year to year is a defining characteristic of masting, the methods used to quantify this variability are highly debated. The commonly used coefficient of variation lacks the ability to account for the serial dependence in mast data and can be influenced by zeros, making it a less suitable choice for various applications based on individual‐level observations, such as phenotypic selection, heritability, and climate change studies, which rely on individual‐plant‐level datasets that often contain numerous zeros. To address these limitations, we present three case studies and introduce volatility and periodicity, which account for the variance in the frequency domain by emphasizing the significance of long intervals in masting. By utilizing examples of Sorbus aucuparia, Pinus pinea, Quercus robur, Quercus pubescens, and Fagus sylvatica, we demonstrate how volatility captures the effects of variance at both high and low frequencies, even in the presence of zeros, leading to improved ecological interpretations of the results. The growing availability of long‐term, individual‐plant datasets promises significant advancements in the field, but requires appropriate tools for analysis, which the new metrics provide.

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Section: Discussionmentioning

confidence: 99%

“…This period variance captures the quasi-periodic nature of masting, being broad where the period is unpredictable (Qiu et al, 2023).…”

Section: Volatilitymentioning

confidence: 99%

Section: Volatilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

How to measure mast seeding?

et al. 2023

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The impact of drip irrigation and phosphorus fertilizer on enhancing dimorphic seed production of Lespedeza potaninii in Northwest China

Chen,

Liu,

Guo

et al. 2024

Agricultural Water Management

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Evolution of masting in plants is linked to investment in low tissue mortality

Journé,

Hacket-Pain,

Bogdziewicz

2023

Nat Commun

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Masting, a variable and synchronized variation in reproductive effort is a prevalent strategy among perennial plants, but the factors leading to interspecific differences in masting remain unclear. Here, we investigate interannual patterns of reproductive investment in 517 species of terrestrial perennial plants, including herbs, graminoids, shrubs, and trees. We place these patterns in the context of the plants’ phylogeny, habitat, form and function. Our findings reveal that masting is widespread across the plant phylogeny. Nonetheless, reversion from masting to regular seed production is also common. While interannual variation in seed production is highest in temperate and boreal zones, our analysis controlling for environment and phylogeny indicates that masting is more frequent in species that invest in tissue longevity. Our modeling exposes masting-trait relationships that would otherwise remain hidden and provides large-scale evidence that the costs of delayed reproduction play a significant role in the evolution of variable reproduction in plants.

show abstract

Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients

Cited by 6 publications

References 84 publications

How to measure mast seeding?

How to measure mast seeding?

The impact of drip irrigation and phosphorus fertilizer on enhancing dimorphic seed production of Lespedeza potaninii in Northwest China

Evolution of masting in plants is linked to investment in low tissue mortality

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