Data Provider Contact Details *
* Name Michael Staab
* Email michael.staab@nature.uni-freiburg.de
* Affiliation Nature Conservation and Landscape Ecology, University of Freiburg
* Country Germany
Role *
Data_creator true
Data_manager true
Data_owner true
Primary_contact true
Research Group *
* Research_group Other-specify
Other-specify BEF-China
Dataset *
* Project_or_workshop_or_thesis_title Biodiversity Ecosystem Functioning (BEF-China)
* Dataset_title Organism data for the 27 Comparative Study Plots in the Gutianshan National Nature Reserve
* Short_abstract This data set contains the organism data for the 27 Comparative Study Plots in the Gutianshan National Nature Reserve and the corresponding environmental information.
* Keywords forest, biodiversity, BEF-China, trophic guild, cross-taxon diversity, phylogenetic diversity, species composition, fungi, arthropods
* Data_access_policy Open (CC BY 4.0)
Extensive_description_of_the_dataset The data were collected in the species-rich subtropics of south-east China. The region has a monsoon climate with mean annual temperature and precipitation of ca. 15.5°C and 2,000 mm. Within the Gutianshan National Nature Reserve (GNNR, ca. 8,000 ha, 29°08'–29°17' N, 118°02'–118°11' E, elevation 250–1260 m), 27 study plots of 30 x 30 m were randomly selected across the accessible parts of the reserve in 2008 (Bruelheide et al. 2011, Ecological Monographs) The GNNR is covered by subtropical evergreen mixed broadleaved forest in varying stages of succession. Over 250 woody species occur in the reserve, of which about 50% are evergreen. Common tree families are Fagaceae (e.g. Castanopsis eyrei), Lauraceae (e.g. Machilus thunbergii), and Theaceae (e.g. Schima superba), among others. Conifers are naturally rare (< 2% of woody species), but Pinus massoniana and Cunninghamia lanceolata, two commercially important species dominating local forestry, were promoted before the GNNR was established and have remained in the forest. The 27 plots cover stratified crossed gradients of woody (tree and shrub) species richness from 25–69 species (termed “woody plant SR”) and stand age from < 20 to > 80 years. A map of the GNNR is displayed in Staab et al. (2014, Acta Oecologica). A broad range of macro-organisms and fungi were sampled with standardized methods in all plots during various sampling campaigns from 2008–2012 (see Schuldt et al. 2015, Nature Communications; Binkenstein et al. 2018, Ecography). The organisms were grouped according to their biology and trophic ecology into eight trophic guilds. Macro-organisms consisted of understory ‘plants’, ‘herbivores’ (Curculionidae, Lepidoptera), ‘predators’ (Araneae, Chilopoda, Formicidae, predatory wasps and their parasitoids), and ‘detritivores’ (Cerambycidae, Diplopoda, Scolytinae). Fungi (based on DNA sequences and molecular operational taxonomic units) consisted of ‘arbuscular mycorrhizae’, ‘ectomycorrhizae’, ‘pathogenic’ and ‘saprophytic’ fungi.
Data_origin Field Survey
Other-specify
Status_of_the_data_collection Completed
Persons Associated With Dataset ( 1 )
Name Helge Bruelheide
Email helge.bruelheide@botanik.uni-halle.de
Affiliation Martin Luther University Halle-Wittenberg
Country Germany
Persons Associated With Dataset ( 2 )
Name Andreas Schuldt
Email andreas.schuldt@forst.uni-goettingen.de
Affiliation Georg-August-University Göttingen
Country Germany
Persons Associated With Dataset ( 3 )
Name Tesfaye Wubet
Email tesfaye.wubet@ufz.de
Affiliation Helmholtz Centre for Environmental Research – UFZ
Country Germany
Habitat
Terrestrial true
Freshwater
Marine
Taxonomic Scope
Animalia true
Plantae true
Fungi true
Bacteria
Virus
Microorganism
Temporal Cover
Date of first Record
Year 2008
Month
Day
Date of last Record
Year 2012
Month
Day
Temporal Resolution
Temporal_resolution Other-Specify
Other-specify Most data were recorded once
Spatial Cover
Coverage Regional
Locality_names Gutianshan National Nature Reserve, Zhejiang Province
Country China
Additional Information
How_to_cite_dataset Dataset: Staab, M.,Bruelheide, H.,Schuldt, A., & Wubet, T. (2019). Organism data for the 27 Comparative Study Plots in the Gutianshan National Nature Reserve. iDiv Data Repository https://idata.idiv.de/ddm/Data/ShowData/1809
Dataset_doi_or_url
Publications_based_on_this_dataset Michael Staab, Xiaojuan Liu, Thorsten Assmann, Helge Bruelheide, François Buscot, Walter Durka, Alexandra Erfmeier, Alexandra-Maria Klein, Keping Ma, Stefan Michalski, Oliver Purschke, Tesfaye Wubet, Bernhard Schmid and Andreas Schuldt (2019): Tree phylogenetic diversity structures multitrophic communities. Ecology Letters.
Publications_based_on_this_dataset 2 Schuldt, A., Assmann, T., Brezzi, M., Buscot, F., Eichenberg, D., Gutknecht, J., Härdtle, W., He, J.S., Klein, A.M., Kühn, P., Liu, X.J., Ma, K.P., Niklaus, P.A., Pietsch, K.A., Purahong, W., Scherer-Lorenzen, M., Schmid, B., Scholten, T., Staab, M., Tang, Z.Y., Trogisch, S., von Oheimb, G., Wirth, C., Wubet, T., Zhu, C.D. & Bruelheide, H. (2018): Biodiversity across trophic levels drives multifunctionality in highly diverse forests. - Nature Communications 9: 2989. DOI: 10.1038/s41467-018-05421-z
Publications_based_on_this_dataset 3 Schuldt, A., Bruelheide, H., Buscot, F., Assmann, T., Erfmeier, A., Klein, A.M., Ma, K.P., Scholten, T., Staab, M., Wirth, C., Zhang, J.Y. & Wubet, T. (2017): Belowground top-down and aboveground bottom-up effects structure multitrophic communities in a biodiverse forest. Scientific Reports 7: 4222. DOI:10.1038/s41598-017-04619-3.
Publications_based_on_this_dataset 4 Binkenstein, J., Klein, A.-M., Assmann, T., Buscot, F., Erfmeier, A., Ma, K.P., Pietsch, K.A., Schmidt, K., Scholten, T., Wubet, T., Bruelheide, H., Schuldt, A., Staab, M. (2017): Multi-trophic guilds respond differently to changing elevation in a subtropical forest. - Ecography 40: 001-010. DOI: 10.1111/ecog.03086.
Publications_based_on_this_dataset 5 Schuldt, A., Wubet, T., Buscot, F., Staab, M., Assmann, T., Böhnke-Kammerlander, M., Both, S., Erfmeier, A., Klein, A.M., Ma, K.P., Pietsch, K., Schulze, S., Wirth, C., Zhang, J.Y., Zumstein, P. & Bruelheide, H. (2015): Multitrophic diversity in a biodiverse forest is highly nonlinear across spatial scales. - Nature Communications 6: 10169. DOI: 10.1038/ncomms10169.
Projects_that_are_related_to_this_dataset
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