Soil macrofauna communities in various land use systems in Ponta Grossa, Paraná, Brazil
Soil macrofauna biodiversity across land use systems in neotropical biomes
Description
Soil macrofauna communities were evaluated in in October 2012 and April of 2013 in a number of land use systems in Ponta Grossa county, Paraná state, Brazil. At the Fazenda Modelo managed by the Instituto Agronômico do Paraná (IAPAR), samples were taken in three land use systems as part of a long-term integrated production systems experiment initiated in 2006: 1) an agrosilvopastoral system with rows of Eucalyptus dunnii and annual grain cropping (maize, soybean) in the summer and Lolium multiflorum (Italian ryegrass) grazed pasture in the winter performed in the interrow; 2) an agropastoral system with grain cropping (maize, soybean) in the summer and grazed Italian ryegrass in the winter; 3) a permanent pasture of native grasses. Each of these systems was replicated 3 times, and eight samples were taken in each plot. At the Embrapa research station, two land uses were evaluated, with 24 samples taken in each area: 1) a minimum-tillage grain crop production system; and 2) a 20-year old Eucalyptus dunnii tree plantation. Samples were taken using the standard methodology of the Tropical Soil Biology and Fertility Programme (TSBF), where soil (down to 20 cm depth) and litter fauna were hand-sorted from monoliths of 25x25 cm, and the abundance of a total of 45 taxa was assessed.
The dataset is published following Darwin Core sampling event standards in IPT. Download the complete DarwinCoreArquive in https://ipt.sibbr.gov.br/sibbr/resource?r=soil_macrofauna_pontagrossa
Geographic Description
Ponta Grossa, Paraná state, Brazil
Citation
Zagatto M R, da Fonseca P M, P. Vargas L, dos Santos V P, Niva C C, Gabriac Q, Brown G (2023): Soil macrofauna communities in various land use systems in Ponta Grossa, Paraná, Brazil. v1.4. Embrapa Forestry. Dataset/Samplingevent. https://ipt.sibbr.gov.br/sibbr/resource?r=soil_macrofauna_pontagrossa&v=1.4
Rights
This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
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