Experimental investigation on weather cues for mast seeding of <i>Fagus crenata</i>

Kon, Hirokazu; Noda, Takashi

doi:10.1007/s11284-006-0320-5

Cited by 39 publications

(32 citation statements)

References 36 publications

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“…Thus, masting in pistachio, and likely many other plants, is a specific example where large environmental noise is important and must be included in mathematical models. In support of this, many experimental studies have concluded that resource switching and weather cues can act together to cause masting in plant populations (Kon et al, 2005;Piovesan and Adams, 2001;Selȧ s, 2000;Kon and Noda, 2007;Ranta et al, 2005;Lamontagne and Boutin, 2007;Rees et al, 2002;Liebhold et al, 2004). Rees et al (2002) gathered individual-level data on a plant population that is not pollen limited and found that a resource based model with a simple climate cue could explain their data.…”

Section: Discussionmentioning

confidence: 91%

The role of large environmental noise in masting: General model and example from pistachio trees

Lyles

Rosenstock

Hastings

et al. 2009

Journal of Theoretical Biology

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Section: Discussionmentioning

confidence: 91%

The role of large environmental noise in masting: General model and example from pistachio trees

Lyles

Rosenstock

Hastings

et al. 2009

Journal of Theoretical Biology

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“…Temperature is likewise decomposed into a site and a year effect. Spring temperature controls bud break, leaf and fruit set, and can have a large impact on tree carbon balance [33][34][35][36]. We use the annual temperature for January through March for site j in year t. The site effect is taken to be the average winter/spring temperature W j , and the year effect is the annual departure from that average, w j,t .…”

Section: Methodsmentioning

confidence: 99%

Individual-scale inference to anticipate climate-change vulnerability of biodiversity

Clark

Bell

Kwit

et al. 2012

Phil. Trans. R. Soc. B

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Anticipating how biodiversity will respond to climate change is challenged by the fact that climate variables affect individuals in competition with others, but interest lies at the scale of species and landscapes. By omitting the individual scale, models cannot accommodate the processes that determine future biodiversity. We demonstrate how individual-scale inference can be applied to the problem of anticipating vulnerability of species to climate. The approach places climate vulnerability in the context of competition for light and soil moisture. Sensitivities to climate and competition interactions aggregated from the individual tree scale provide estimates of which species are vulnerable to which variables in different habitats. Vulnerability is explored in terms of specific demographic responses (growth, fecundity and survival) and in terms of the synthetic response (the combination of demographic rates), termed climate tracking. These indices quantify risks for individuals in the context of their competitive environments. However, by aggregating in specific ways (over individuals, years, and other input variables), we provide ways to summarize and rank species in terms of their risks from climate change.

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“…The initiation of flower buds on trees is generally affected by the weather conditions of the previous year (Kon and Noda 2007;Masaka and Maguchi 2001;Piovesan and Adams 2001), and the weather cues of the three major birch species need to be determined so that the methods for predicting annual pollen counts in Hokkaido with meteorological data can be improved. In conclusion, the male catkin numbers of three major birch species effectively predict the airborne pollen counts in Hokkaido.…”

Section: Discussionmentioning

confidence: 99%

Prediction of birch airborne pollen counts by examining male catkin numbers in Hokkaido, northern Japan

Yasaka¹,

Kobayashi

Takeuchi

et al. 2009

Aerobiologia

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Birch pollen is a very common cause of pollinosis in Hokkaido, northern Japan. Birch airborne pollen concentrations vary each year; hence, the development of a method for predicting annual airborne pollen concentration is very important in preventing widespread symptoms of pollinosis. In the current study, we investigated airborne pollen counts and male catkin numbers (male flower index) of birch in four cities of Hokkaido between 2002 and 2008. Airborne pollen surveys were conducted using Durham's sampler, and male catkin numbers determined for three major birch species (Betula platyphylla var. japonica, B. emanii, and B. maximowicziana). We found an annual variation in male flower index for all the three birch species investigated. This variation worked in combination with the amount of precipitation during the pollen season to influence total birch pollen counts. In conclusion, the male catkin numbers of three major birch species reliably predict airborne pollen counts in Hokkaido, but only when the effect of precipitation during pollen season is considered.

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Experimental investigation on weather cues for mast seeding of Fagus crenata

Cited by 39 publications

References 36 publications

The role of large environmental noise in masting: General model and example from pistachio trees

The role of large environmental noise in masting: General model and example from pistachio trees

Individual-scale inference to anticipate climate-change vulnerability of biodiversity

Prediction of birch airborne pollen counts by examining male catkin numbers in Hokkaido, northern Japan

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