Predicting spring frost sensitivity by bud development and temperature sum in Norway spruce seedlings

Trees ◽  
2010 ◽  
Vol 24 (5) ◽  
pp. 809-817 ◽  
Author(s):  
Jaana Luoranen ◽  
Sirkka Sutinen ◽  
Risto Rikala
1995 ◽  
Vol 95 (4) ◽  
pp. 563-568 ◽  
Author(s):  
Marie Bollmark ◽  
Hao-Jie Chen ◽  
Thomas Moritz ◽  
Lennart Eliasson

2006 ◽  
Vol 225 (1-3) ◽  
pp. 337-348 ◽  
Author(s):  
Tomás Polák ◽  
Barrett N. Rock ◽  
Petya Entcheva Campbell ◽  
Jitka Soukupová ◽  
Blanka Solcová ◽  
...  

Metabolomics ◽  
2014 ◽  
Vol 10 (5) ◽  
pp. 842-858 ◽  
Author(s):  
Yeon Kyeong Lee ◽  
Danny Alexander ◽  
Jacob Wulff ◽  
Jorunn Elisabeth Olsen

2021 ◽  
Author(s):  
Juha Honkaniemi ◽  
Juha Heikkinen ◽  
Helena Henttonen ◽  
Mikko Peltoniemi

<p>Forest management and land use can strongly alter the forest ecosystem with long-lasting legacy effects by shaping e.g. species composition and age structure in stand and landscape scales. These changes may lead to changes in the local disturbance regime. In addition, forest management may directly affect the dynamics of disturbance agents. Heterobasidion root rot is one of the most important diseases of conifers in the Northern hemisphere. The epidemiology of the fungus relies heavily on the availability of fresh wood material which the spores need to cause an infection. In managed forests, fresh stump surfaces provide massive amounts of perfect growth media.  Once the fungus has infected a stand, the disease remains in there over tree generations slowly deteriorating the timber quality, killing trees and predisposing trees to subsequent disturbance agents such as wind. Thus, host availability in landscape scale, stand conditions and the management history all are assumed to play an important role in the epidemiology. The aim of this study was to analyze the drivers of current distribution of Heterobasidion root rot in Finland in order to understand the disease dynamics better and to manage the disease in the future. Specifically, we asked how important the legacies of different past management and land-use methods are. The National Forest Inventory (NFI) in Finland has recorded root rot observations since 1995 covering in total over 348 000 sample plots over four inventories. We combined that database with 20 different explanatory variables with a hypothetical relation to the biology and epidemiology of the fungus. The variables were categorized to three categories; (i) management legacies, (ii) landscape structure, and (iii) site conditions. Management legacies included for example the historical locations of sawmills and the share of forest pastures. Landscape structure combined structural characteristics, such as Norway spruce and old forest (120+ years) shares from different time periods. Site conditions were described with e.g. temperature sum and Shannon index for tree species richness. By using Boosted Regression Tree and Generalized Liner Models, we found that variables from all the three categories contributed to the presence of Heterobasidion root rot. The distance from an NFI plot to the nearest sawmill operating in 1910 (historical intensity of logging) and the distance to a waterway (timber rafting as main transportation methods) were shown to be one of the most important variables together with temperature sum and current Norway spruce share in landscape scale. This indicates that the management legacies, especially the past management intensity, has a significant effect on the epidemiology of Heterobasidion root rot.</p>


2020 ◽  
Author(s):  
Nora Pohl ◽  
Frederik Baumgarten ◽  
Yann Vitasse

<p><strong>Is bud burst of temperate trees promoted by a critical daylength?</strong></p><p> </p><p>Bud burst of temperate trees is mainly controlled by cool temperatures during winter-dormancy (chilling), warm temperatures in spring (forcing) and daylength (photoperiod). Some tree species may rely more on one of these drivers than others (e.g. temperature driven species) but recent studies emphasize complex interactions among them for most species. As one of these factors, photoperiod can act by preventing trees from flushing too early, minimizing the risk of damaging spring frost. Yet it is unclear whether stimulating and/or inhibiting effects of photoperiod on spring phenology act (i) gradually (i.e. increasing daylength progressively accelerates bud development response to temperature) or (ii) whether photoperiod slows down bud development until reaching a critical threshold.</p><p>In this study we tested the second hypothesis by exposing twig cuttings of 5 species (Acer pseudoplatanus, Carpinus betulus, Fagus sylvatica, Quercus petraea, Tilia cordata) to different constant photoperiods that occur before leaf-out in the latitudes of Zurich (10h, 11h, 12h, 13h). Two additional photoperiods of 8h and 16h served as a control to simulate shortest and longest natural occurring daylengths. The experiment was repeated on three occasions (from October 2019 to January 2020) to account for different dormancy depths.  Bud development was monitored twice a week.</p><p>The experiment is still running. We expect that temperature-sensitive species would leaf-out regardless of the photoperiod, while photoperiod sensitive species such as beech may wait until a critical threshold has passed. Furthermore, longer photoperiods might substitute for insufficient chilling by decreasing the required amount of forcing to bud burst. The results could serve to better implement photoperiod into phenological models.</p>


1995 ◽  
Vol 95 (4) ◽  
pp. 563-568 ◽  
Author(s):  
Marie Bollmark ◽  
Hao-Jie Chen ◽  
Thomas Moritz ◽  
Lennart Eliasson

1999 ◽  
Vol 29 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Mats Hannerz

Spring bud development was assessed on cuttings of 17 Norway spruce (Picea abies (L.) Karst.) clones for up to 7 years at two sites in southern and central Sweden. The ability of various temperature models to predict bud-burst timing was analysed. All temperature-based models resulted in significantly better predictions than the null model, day number. Temperature sum (TS) based on a linear response to temperature above a defined threshold, gave a more precise prediction than forcing units based on a logistic response to temperature. The most precise model could predict bud burst to within 2 days, and it included TS with a threshold of 5°C and a start day arbitrarily chosen between January and March. The models were not improved by incorporating chilling, in terms of chilling days (number of days with mean temperature <5°C) or chilling units. It is suggested that chilling requirement is fulfilled already in December under normal winter conditions in southern and central Sweden. Ranking of clones in bud-burst timing was stable over years and sites. For routine measurements of phenology in applied breeding programmes, it is proposed that standard reference material is thoroughly tested for temperature reactions and that this reference material be used each time new material is tested. With this procedure, an accurate estimate of required temperature sum for bud burst can be obtained from a 1-year assessment.


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