Soil macrofauna communities in various land use systems in Canoinhas and Três Barras, Santa Catarina state, Brazil

Sampling event
Latest version published by Embrapa Forestry on Nov 28, 2023 Embrapa Forestry
Publication date:
28 November 2023
Published by:
Embrapa Forestry
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 45 records in English (43 KB) - Update frequency: unknown
Metadata as an EML file download in English (14 KB)
Metadata as an RTF file download in English (7 KB)

Description

Soil macrofauna communities were evaluated in May 2011 in five land use systems in the region of Canoinhas and Três Barras, Santa Catarina state, Brazil. In Três Barras, samples were taken in a native Atlantic Forest fragment and an Araucaria angustifolia tree plantation in the Três Barras National Forest, as well as in an annual grain crop production system under no-tillage on a private farm. In Canoinhas, samples were taken in an agropastoral system with Italian ryegrass (Lolium multiflorum), and in a permanent pasture of native grasses. Nine samples were taken in each land use system in a 3x3 square grid with 30 m distance between samples. 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 42 taxa was assessed.

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 45 records.

2 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Event (core)
45
Occurrence 
2025
ExtendedMeasurementOrFact 
765

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Clasen L A, Niva C C, Gabriac Q, Brown G (2023): Soil macrofauna communities in various land use systems in Canoinhas and Três Barras, Santa Catarina state, Brazil. v1.2. Embrapa Forestry. Dataset/Samplingevent. https://ipt.sibbr.gov.br/sibbr/resource?r=soil_macrofauna_clasen&v=1.2

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Embrapa Forestry. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: d25de841-579a-4126-9e18-c0fc370b7b44.  Embrapa Forestry publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Brazil.

Keywords

Samplingevent; Observation

Contacts

Lina A. Clasen
  • Originator
Student
Københavns Universitet
Cintia C. Niva
  • Originator
Researcher
Embrapa Cerrados
Quentin Gabriac
  • Metadata Provider
  • Originator
  • User
Freelance organization and consultant
Embrapa florestas
George Brown
  • Originator
  • Point Of Contact
Researcher
Embrapa florestas

Geographic Coverage

Canoinhas and Três Barras, Santa Catarina state, Brazil

Bounding Coordinates South West [-28.227, -54.097], North East [-25.919, -48.911]

Project Data

No Description available

Title Soil macrofauna biodiversity across land use systems in neotropical biomes
Funding CESAB & FAPESP

The personnel involved in the project:

George Brown

Additional Metadata

Alternative Identifiers d25de841-579a-4126-9e18-c0fc370b7b44
https://ipt.sibbr.gov.br/sibbr/resource?r=soil_macrofauna_clasen