scholarly journals Fine-scale root community structure and below-ground responses to grazing show independence from above-ground patterns

2017 ◽  
Vol 28 (6) ◽  
pp. 1097-1106 ◽  
Author(s):  
Gastón R. Oñatibia ◽  
María Fernanda Reyes ◽  
Martín R. Aguiar
2014 ◽  
Vol 369 (1643) ◽  
pp. 20130194 ◽  
Author(s):  
Michael D. Madritch ◽  
Clayton C. Kingdon ◽  
Aditya Singh ◽  
Karen E. Mock ◽  
Richard L. Lindroth ◽  
...  

Fine-scale biodiversity is increasingly recognized as important to ecosystem-level processes. Remote sensing technologies have great potential to estimate both biodiversity and ecosystem function over large spatial scales. Here, we demonstrate the capacity of imaging spectroscopy to discriminate among genotypes of Populus tremuloides (trembling aspen), one of the most genetically diverse and widespread forest species in North America. We combine imaging spectroscopy (AVIRIS) data with genetic, phytochemical, microbial and biogeochemical data to determine how intraspecific plant genetic variation influences below-ground processes at landscape scales. We demonstrate that both canopy chemistry and below-ground processes vary over large spatial scales (continental) according to aspen genotype. Imaging spectrometer data distinguish aspen genotypes through variation in canopy spectral signature. In addition, foliar spectral variation correlates well with variation in canopy chemistry, especially condensed tannins. Variation in aspen canopy chemistry, in turn, is correlated with variation in below-ground processes. Variation in spectra also correlates well with variation in soil traits. These findings indicate that forest tree species can create spatial mosaics of ecosystem functioning across large spatial scales and that these patterns can be quantified via remote sensing techniques. Moreover, they demonstrate the utility of using optical properties as proxies for fine-scale measurements of biodiversity over large spatial scales.


2009 ◽  
Vol 68 (1) ◽  
pp. 16 ◽  
Author(s):  
Paola M.A. DECRISTOPHORIS ◽  
Sandro PEDUZZI ◽  
Nadia RUGGERI-BERNARDI ◽  
Dittmar HAHN ◽  
Mauro TONOLLA

2014 ◽  
Vol 4 (1) ◽  
pp. 34-49 ◽  
Author(s):  
Andrew D. Barton ◽  
Ben A. Ward ◽  
Richard G. Williams ◽  
Michael J. Follows

2020 ◽  
Vol 108 (4) ◽  
pp. 1738-1749
Author(s):  
Tomáš Herben ◽  
Tereza Balšánková ◽  
Věra Hadincová ◽  
František Krahulec ◽  
Sylvie Pecháčková ◽  
...  

Biotropica ◽  
2016 ◽  
Vol 48 (1) ◽  
pp. 70-80 ◽  
Author(s):  
Maikel L. G. Marí ◽  
José J. Toledo ◽  
Henrique E. M. Nascimento ◽  
Charles E. Zartman

2001 ◽  
Vol 79 (10) ◽  
pp. 1134-1151 ◽  
Author(s):  
Martina Peter ◽  
François Ayer ◽  
Simon Egli ◽  
Rosmarie Honegger

The structure of ectomycorrhizal communities was assessed above- and below-ground at three different sites in Switzerland that are dominated by Norway spruce (Picea abies (L.) Karst.). We applied three different approaches to record the ectomycorrhizal species compositions and their spatial structures and compared them among each other. Sporocarp inventories were carried out weekly for 3 years. Belowground, molecular, and morphological analyses of ectomycorrhizal roots were performed. In the 3 years of sporocarp survey, a total of 128 ectomycorrhizal species was observed. Most abundant in number of species were the genera Cortinarius and Russula in all three sites. Using polymerase chain reaction, only 22% of the ectomycorrhizal species observed in sporocarp surveys were detected in mycorrhizas. Species that produce no or inconspicuous sporocarps were most abundant on the root system in all three study sites. The resolution was clearly inferior in morphotype compared with molecular analyses. Spatial analyses of the ectomycorrhizal species composition among subplots revealed high variability within sites. Within sites, spatial structure with positive autocorrelation was observed based on sporocarp data as well as molecular analyses of root tips at the site where the number of analysed mycorrhizas was sufficiently high. No spatial structure could be detected on this scale by morphotype analyses because of the high variability among soil cores. All three methods showed the same site to be separated from the other two based on ectomycorrhizal species compositions. Stand ages and their histories are discussed as possible explanations for these findings.Key words: community structure, ectomycorrhiza, macrofungi, morphotype, ITS RFLP, Picea abies.


2014 ◽  
Vol 36 (4) ◽  
pp. 1017-1030 ◽  
Author(s):  
Sophie Clayton ◽  
Takeyoshi Nagai ◽  
Michael J. Follows

2011 ◽  
Vol 366 (1569) ◽  
pp. 1346-1357 ◽  
Author(s):  
Raj Whitlock ◽  
Mark C. Bilton ◽  
J. Phil Grime ◽  
Terry Burke

Recent evidence indicates that grassland community structure and species diversity are influenced by genetic variation within species. We review what is known regarding the impact of intraspecific diversity on grassland community structure, using an ancient limestone pasture as a focal example. Two genotype-dependent effects appear to modify community structure in this system. First, the abundance of individual constituent species can depend upon the combined influence of direct genetic effects stemming from individuals within the population. Second, the outcome of localized interspecific interactions occurring within the community can depend on the genotypes of participating individuals (indicating indirect genetic effects). Only genotypic interactions are thought to be capable of allowing the long-term coexistence of both genotypes and species. We discuss the implications of these effects for the maintenance of diversity in grasslands. Next, we present new observations indicating that losses of genotypic diversity from each of two species can be predicted by the abundance of other coexisting species within experimental grassland communities. These results suggest genotype-specific responses to abundance in other coexisting species. We conclude that both direct and indirect genetic effects are likely to shape community structure and species coexistence in grasslands, implying tight linkage between fine-scale genetic and community structure.


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