Species diversity and distribution of biomass above and below ground among ectomycorrhizal fungi in an old-growth Norway spruce forest in south Sweden

1997 ◽  
Vol 75 (8) ◽  
pp. 1323-1335 ◽  
Author(s):  
Anders Dahlberg ◽  
Lena Jonsson ◽  
Jan-Erik Nylund

The structure of an ectomycorrhizal community was assessed on a 100-m2 plot in a 100-year-old, oligotrophic Norway spruce, Picea abies (L.) Karst., forest in southern Sweden. During the 6-year study (1986–1992) sporocarps were identified and their biomass determined. Late in the fall of 1993, we identified mycorrhizas and estimated their abundance. Forty-eight epigeous, ectomycorrhizal taxa were identified based on the examination of sporocarps. Hygrophorus olivaceoalbus (Fr.:Fr.) Fr. and six species of Cortinarius, i.e., C. acutus (Pers.:Fr.) Fr., C. brunneus (Pers.:Fr.) Fr., C. evernius (Fr.:Fr.) Fr., C. obtusus (Fr.) Fr., C. paleaceus Fr., and C. strobilaceus Moser, were found every year. For the period as a whole, they accounted for 32% of the annual sporocarp biomass. Twenty-one species were observed during 1 year only. Cenococcum geophilum Fr. and Piloderma croceum Erikss. & Hjortst. accounted for 18 and 19%, respectively, of the mycorrhizal abundance of the mycorrhizal root tips examined. Using polymerase chain reaction (PCR) based molecular methods, we were able to distinguish 25 taxa forming mycorrhiza from soil cores covering a total of 22.5 cm2 of the forest floor. Twelve of these taxa were identified using a sporocarp or mycelial culture based reference data base containing 25 of the sporocarp-producing species. These 12 species accounted for an average of 74% of the sporocarp biomass. In contrast, their share of the estimated mycorrhizal abundance and biomass was about 30%. At least half of the abundance of the belowground ectomycorrhizal community was accounted for by species that did not produce conspicuous epigeous sporocarps. Ascomycetes accounted for about 20% of the mycorrhizal abundance. Calculations showed that on a per hectare basis there was 8.8 kg of fungal biomass in the form of sporocarps (average annual cumulative production), an estimated 250–400 kg as mycorrhiza (standing crop) and 440 kg in the form of sclerotia of Cenococcum geophilum (standing crop). Key words: ectomycorrhizal community structure, ITS–RFLP, Picea abies.


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.



1999 ◽  
Vol 14 (3) ◽  
pp. 209-217 ◽  
Author(s):  
Susanne Erland ◽  
Tina Jonsson ◽  
Shahid Mahmood ◽  
Roger D. Finlay


1995 ◽  
Vol 79 (1-4) ◽  
pp. 3-18 ◽  
Author(s):  
B. Manderscheid ◽  
E. Matzner ◽  
K. -J. Meiwes ◽  
Y. Xu


2001 ◽  
pp. 168-169
Author(s):  
M. Möttönen ◽  
T. Lehto ◽  
P. J. Aphalo


2012 ◽  
Vol 5 (1) ◽  
pp. 105-114 ◽  
Author(s):  
Robert Jandl ◽  
Stefan Smidt ◽  
Andreas Schindlbacher ◽  
Michael Englisch ◽  
Sophie Zechmeister-Boltenstern ◽  
...  


2006 ◽  
Vol 171 (4) ◽  
pp. 815-824 ◽  
Author(s):  
T. Korkama ◽  
A. Pakkanen ◽  
T. Pennanen


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


2019 ◽  
Vol 15 (2) ◽  
pp. 69-84 ◽  
Author(s):  
Oksana Pelyukh ◽  
Alessandro Paletto

Abstract Stakeholder analysis is a crucial step in the participatory process to involve all groups of interests in sustainable forest management. This paper aims to develop a method of stakeholder analysis to identify and classify stakeholders involved in secondary Norway spruce (Picea abies (L.) Karst.) stand conversions. The method is based on a questionnaire survey and structured into three stages: (1) stakeholder identification; (2) analytical characterization of stakeholders; and (3) stakeholder aggregation. Stakeholders are classified according to their interest level and importance while considering the relationships among them (social network analysis). Stakeholder analysis is applied in the Ukrainian Carpathians, which is characterized by cultural and economic dependence on forest resources. The results highlight seven “supporters” and six “opponents” as well as three key stakeholders and four primary stakeholders. We propose involving up to three stakeholders from each homogeneous group to balance stakeholder contributions and enhance the democratization of the forest conversion decision-making process.



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