The ecology of Central European tree species: Trait spectra, functional trade-offs, and ecological classification of adult trees

Author(s):  
Christoph Leuschner ◽  
Ina C. Meier
2022 ◽  
Vol 4 ◽  
Author(s):  
Matthew J. Hecking ◽  
Jenna M. Zukswert ◽  
John E. Drake ◽  
Martin Dovciak ◽  
Julia I. Burton

Trait-based analyses provide powerful tools for developing a generalizable, physiologically grounded understanding of how forest communities are responding to ongoing environmental changes. Key challenges lie in (1) selecting traits that best characterize the ecological performance of species in the community and (2) determining the degree and importance of intraspecific variability in those traits. Recent studies suggest that globally evident trait correlations (trait dimensions), such as the leaf economic spectrum, may be weak or absent at local scales. Moreover, trait-based analyses that utilize a mean value to represent a species may be misleading. Mean trait values are particularly problematic if species trait value rankings change along environmental gradients, resulting in species trait crossover. To assess how plant traits (1) covary at local spatial scales, (2) vary across the dominant environmental gradients, and (3) can be partitioned within and across taxa, we collected data on 9 traits for 13 tree species spanning the montane temperate—boreal forest ecotones of New York and northern New England. The primary dimension of the trait ordination was the leaf economic spectrum, with trait variability among species largely driven by differences between deciduous angiosperms and evergreen gymnosperms. A second dimension was related to variability in nitrogen to phosphorous levels and stem specific density. Levels of intraspecific trait variability differed considerably among traits, and was related to variation in light, climate, and tree developmental stage. However, trait rankings across species were generally conserved across these gradients and there was little evidence of species crossover. The persistence of the leaf economics spectrum in both temperate and high-elevation conifer forests suggests that ecological strategies of tree species are associated with trade-offs between resource acquisition and tolerance, and may be quantified with relatively few traits. Furthermore, the assumption that species may be represented with a single trait value may be warranted for some trait-based analyses provided traits were measured under similar light levels and climate conditions.


2021 ◽  
Vol 13 (14) ◽  
pp. 7545
Author(s):  
Nikolai Bardarov ◽  
Vladislav Todorov ◽  
Nicole Christoff

The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species.


2015 ◽  
Vol 9 (1) ◽  
pp. 095990 ◽  
Author(s):  
Morteza Shahriari Nia ◽  
Daisy Zhe Wang ◽  
Stephanie Ann Bohlman ◽  
Paul Gader ◽  
Sarah J. Graves ◽  
...  

2008 ◽  
Vol 23 (7) ◽  
pp. 481-485 ◽  
Author(s):  
M.H. Schmidt ◽  
J. Sinzig

AbstractSuggestions for classification of mental disorders of children and adolescents in DSM-V and ICD-11 have been made, which differ strongly from the current descriptive approach of dimensional classification.These suggestions even comprise a dichotomized system for health care as well as for scientific purposes.Nevertheless it is obvious that we are far behind an “etiological” classification, so that trade-offs have necessarily to be made in DSM-V and ICD-11.Appropriate proposals concern the strict separation of disorders that are typical for children and adolescents as well as for adults.Furthermore a differentiation of diagnosis for infants, toddlers and preschool children is required in both classification systems. As far as it is relevant for treatment, combined diagnosis in DSM-V and subthreshold diagnosis as well as coding-possibilities for findings in molecular biology should be permitted.As personality disorders should only be diagnosed after the age of 16, it is recommended to dimensionally classify personality traits that are pathognomonic for specific symptom patterns and of prognostic relevance.DSM-V and ICD-11 should allow age-specific information on axis-IV. The article discusses the general question of how relational disorders respectively disturbances should be classified and include furthermore special recommendations concerning ICD and DSM categories.


2009 ◽  
Vol 36 (5) ◽  
pp. 854-864 ◽  
Author(s):  
Benjamin Köckemann ◽  
Holger Buschmann ◽  
Christoph Leuschner

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