scholarly journals Plant traits and landscape simplification drive intraspecific trait diversity of Bombus terrestris in wildflower plantings

Author(s):  
Ingo Grass ◽  
Jörg Albrecht ◽  
Nina Farwig ◽  
Frank Jauker
2020 ◽  
Author(s):  
Mateus Dantas de Paula ◽  
Thomas Hickler

<p>The HUMBOLDT-LSM<sub>bio</sub> component is an expansion of the LPJ-GUESS dynamic vegetation model , including local diversity of plant traits and an organic matter module representing the Nitrogen and Phosphorus cycles. In the new trait variation module the initial full range of possible traits is filtered along the altitudinal gradient with the aim to predict the trait distribution of communities observed in the field. The model was parameterized using local trait data per species collected by field campaigns along the whole altitudinal gradient, considering the leaf and wood economics spectrum and tissue nutrient concentrations, and locally measured N and P flux data, in which we were able to use deposition and weathering rates, as well as soil organic and mineral layer nutrient concentrations. In order to evaluate the model with regards to nutrient limitation, the simulation experiment was designed with the NUMEX nutrient manipulation experiment in mind, meaning that the reference nutrient limited community was compared to simulations in which N or/and P limitations were deactivated (i.e. plants could grow independent of their N or P demands being met). Results in NUMEX suggested that the removal of nutrient limitation would produce more biotically homogenous communites, and taller trees with higher productivity and more allocation to belowground biomass.</p><p>Our results indicate that including trait diversity and nutrient limitation provide a significant improvement in relation to ecosystem representation especially at higher elevations. Deactivation of nutrient limitation suggests reduced community trait differentiation along the elevation gradient (e.g. specific leaf area), and increased productivity (i.e. Carbon and NPP values). Deactivation of trait diversity impels plant survival at higher altitudes. Significant model improvements are expected in the future with further field trait measurements from the RESPECT subprojects, and the inclusion of other significant processes such as leaf herbivory, seed dispersal and of course the coupled model runs with LSM<sub>atmo</sub> and LSM<sub>hydro</sub>.</p>


2020 ◽  
Author(s):  
M. Robinson ◽  
A.L. Schilmiller ◽  
W.C. Wetzel

AbstractFor over 10,000 years humans have shaped plant traits through domestication. Studies of domestication have focused on changes to trait averages; however, plants also have characteristic levels of trait variability among their repeated parts, which can be heritable and mediate critical ecological interactions. Here, we ask how domestication selection has altered among-leaf trait variability using alfalfa (Medicago sativa), the oldest forage crop in the world. We found that domestication changed variability more than averages for multiple traits. Relative to wild progenitors, domesticates had elevated variability in specific leaf area, trichomes, C:N, and phytochemical concentrations and reduced variability in phytochemical composition among their leaves. Our work shows that within-plant trait variability is a novel facet of the domesticated plant phenotype, constituting a novel frontier of trait diversity within crop fields. As many critical biotic interactions occur at the scale of individual plants, our findings suggest that trait variability and diversity among leaves could act to magnify or counter the depauperate trait diversity often found at higher scales in agroecosystems.


2019 ◽  
Vol 67 (1) ◽  
pp. 33 ◽  
Author(s):  
Wen Jin Li ◽  
Shuang Shuang Liu ◽  
Jin Hua Li ◽  
Ru Lan Zhang ◽  
Ka Zhuo Cai Rang ◽  
...  

Crop Science ◽  
1984 ◽  
Vol 24 (1) ◽  
pp. 200-204 ◽  
Author(s):  
L. D. Robertson ◽  
K. J. Frey

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