Leaf traits indicate survival strategies among 42 dominant plant species in a dry, sandy habitat, China

2009 ◽  
Vol 4 (4) ◽  
pp. 477-485 ◽  
Author(s):  
Jinhuan Liu ◽  
Dehui Zeng ◽  
Zhiping Fan ◽  
David Pepper ◽  
Guangsheng Chen ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Markéta Mejdová ◽  
Jiří Dušek ◽  
Lenka Foltýnová ◽  
Lenka Macálková ◽  
Hana Čížková

AbstractThe study estimates the parameters of the photosynthesis–irradiance relationship (PN/I) of a sedge-grass marsh (Czech Republic, Europe), represented as an active “green” surface—a hypothetical “big-leaf”. Photosynthetic parameters of the “big-leaf” are based on in situ measurements of the leaf PN/I curves of the dominant plant species. The non-rectangular hyperbola was selected as the best model for fitting the PN/I relationships. The plant species had different parameters of this relationship. The highest light-saturated rate of photosynthesis (Asat) was recorded for Glyceria maxima and Acorus calamus followed by Carex acuta and Phalaris arundinacea. The lowest Asat was recorded for Calamagrostis canescens. The parameters of the PN/I relationship were calculated also for different growth periods. The highest Asat was calculated for the spring period followed by the summer and autumn periods. The effect of the species composition of the local plant community on the photosynthetic parameters of the “big-leaf” was addressed by introducing both real (recorded) and hypothetical species compositions corresponding to “wet” and “dry” hydrological conditions. We can conclude that the species composition (or diversity) is essential for reaching a high Asat of the “big-leaf ”representing the sedge-grass marsh in different growth periods.


2008 ◽  
Vol 3 (3) ◽  
pp. 332-337 ◽  
Author(s):  
Jinhuan Liu ◽  
Dehui Zeng ◽  
Don Koo Lee ◽  
Zhiping Fan ◽  
Lei Zhong

Plant Ecology ◽  
2009 ◽  
Vol 208 (1) ◽  
pp. 155-166 ◽  
Author(s):  
Margus Pensa ◽  
Helen Karu ◽  
Aarne Luud ◽  
Kristel Kund

Pedobiologia ◽  
2017 ◽  
Vol 65 ◽  
pp. 68-76 ◽  
Author(s):  
Peng Wang ◽  
Jasper van Ruijven ◽  
Monique M.P.D. Heijmans ◽  
Frank Berendse ◽  
Ayal Maksimov ◽  
...  

2018 ◽  
Vol 11 ◽  
pp. 194008291881390
Author(s):  
Natalie Breidenbach ◽  
Sri Rahayu ◽  
Iskandar Z. Siregar ◽  
Ulfah J. Siregar ◽  
Hamzah ◽  
...  

Mycologia ◽  
2009 ◽  
Vol 101 (5) ◽  
pp. 612-621 ◽  
Author(s):  
Alejandra G. Becerra ◽  
Marta Cabello ◽  
Marcelo R. Zak ◽  
Norberto Bartoloni

Insects ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 865
Author(s):  
Zuzana Münzbergová ◽  
Jiří Skuhrovec

Data on plant herbivore damage as well as on herbivore performance have been previously used to identify key plant traits driving plant–herbivore interactions. The extent to which the two approaches lead to similar conclusions remains to be explored. We determined the effect of a free-living leaf-chewing generalist caterpillar, Spodoptera littoralis (Lepidoptera: Noctuidae), on leaf damage of 24 closely related plant species from the Carduoideae subfamily and the effect of these plant species on caterpillar growth. We used a wide range of physical defense leaf traits and leaf nutrient contents as the plant traits. Herbivore performance and leaf damage were affected by similar plant traits. Traits related to higher caterpillar mortality (higher leaf dissection, number, length and toughness of spines and lower trichome density) also led to higher leaf damage. This fits with the fact that each caterpillar was feeding on a single plant and, thus, had to consume more biomass of the less suitable plants to obtain the same amount of nutrients. The key plant traits driving plant–herbivore interactions identified based on data on herbivore performance largely corresponded to the traits identified as important based on data on leaf damage. This suggests that both types of data may be used to identify the key plant traits determining plant–herbivore interactions. It is, however, important to carefully distinguish whether the data on leaf damage were obtained in the field or in a controlled feeding experiment, as the patterns expected in the two environments may go in opposite directions.


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