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Morphological dataset of aboveground macrofungal communities within different forest conversion stages in the Eifel National Park in Germany.
Heine, Peggy; Hausen, Jonas; Ottermanns, Richard; Schäffer, Andreas; Roß-Nickoll, Martina.
Affiliation
  • Heine P; Institute for Environmental Research, ABBt Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
  • Hausen J; Institute for Environmental Research, ABBt Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
  • Ottermanns R; Institute for Environmental Research, ABBt Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
  • Schäffer A; Institute for Environmental Research, ABBt Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
  • Roß-Nickoll M; Institute for Environmental Research, ABBt Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, 52074 Aachen, Germany.
Data Brief ; 21: 1151-1156, 2018 Dec.
Article in En | MEDLINE | ID: mdl-30456229
ABSTRACT
This dataset includes 235 aboveground macrofungal species observed at 15 sampling sites, which are associated with five different forest conversion stages. We used a space-for-time substitution approach to represent a forest conversion from Norway spruce (Picea abies) to European beech (Fagus sylvatica) through three different, widely used management practices. In addition to the results of 75 macrofungal field surveys, this data article includes information about site characteristics, vegetation structure, and observation frequencies. A multivariate statistic and myco-ecological interpretation of the macrofungal dataset is presented in an associated research article entitled "Forest conversion from Norway spruce to European beech increases species richness and functional structure of aboveground macrofungal communities" (Heine et al., 2019) [1].

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2018 Document type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Data Brief Year: 2018 Document type: Article Affiliation country: Germany