Automated Organization ProfileNúcleo de Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Rua Augusto Correa 01, Guamá, 66075-110 Belém, Brazil; Department of Migration, Max Planck Institute for Animal Behavior.
Núcleo de Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Rua Augusto Correa 01, Guamá, 66075-110 Belém, Brazil; Department of Migration, Max Planck Institute for Animal Behavior.
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset includes information on macroinvertebrate abundance (broad taxonomic groups) and land-use history for 85 study sites of the eastern Amazon (in the states of Maranhão and Pará). The sampling took place annually between 2010 and 2016, at the end of the rainy season (April to August). The climate of the region is rainy tropical, with mean annual temperature of 27 ° C and annual rainfall of 2100-2300 mm. The most common types of soils are Oxisols and Argisols. The study sites were covered by ombrophilous forests both primary and at different successional stages. Macrofauna sampling followed the Tropical Soil Biology and Fertility protocol (Anderson and Ingram 1993). At each study site, 3 to 8 samples were collected at each 20 m along a linear transect or two perpendicular linear transects in a cross shape. Each sample contained the litter and the top 10 cm of soil of 25 × 25 cm squares. All invertebrates larger than 2 mm were sorted by hand from samples and classified into broad taxonomic groups. Land-use history was obtained from the interpretation of Landsat time series imagery. At each study site, we identified past events of forest clearing through the visualization of Landsat 4, 5, 7 and 8 images (available at http://earthexplorer.usgs.gov) acquired between 1984 and 2016. Clearing events were detected from changes in forest patterns identified in true color image composites (combining red, green and blue bands) and images classified with the normalized difference vegetation index (NDVI). The number images used varied with year and location due to availability and cloud cover, but all sites were covered by at least one image per year. Overall, we analyzed 1508 images. The moment of forest clearance was not always observed but could always be dated with year-level accurately inferred from vegetation contrasts of sequential images. Field estimates of forest regeneration age and interviews of local people were used to validate satellite imagery interpretation.
Authors
- Rousseau, Guillaume Xavier ;
- Serra, Raymony Tayllon Alves ;
- Pinzón Triana, Stefania ;
- Gutiérrez, Jhonatan Andrés Muñoz ;
- Guerrero, Jesús Enrique Burgos ;
- Piedade, Alexandra Rocha ;
- Silva, Rogério dos Santos ;
- Santos, Carlos David
This dataset includes information on macroinvertebrate abundance (broad taxonomic groups) and land-use history for 85 study sites of the eastern Amazon (in the states of Maranhão and Pará). The sampling took place annually between 2010 and 2016, at the end of the rainy season (April to August). The climate of the region is rainy tropical, with mean annual temperature of 27 ° C and annual rainfall of 2100-2300 mm. The most common types of soils are Oxisols and Argisols. The study sites were covered by ombrophilous forests both primary and at different successional stages. Macrofauna sampling followed the Tropical Soil Biology and Fertility protocol (Anderson and Ingram 1993). At each study site, 3 to 8 samples were collected at each 20 m along a linear transect or two perpendicular linear transects in a cross shape. Each sample contained the litter and the top 10 cm of soil of 25 × 25 cm squares. All invertebrates larger than 2 mm were sorted by hand from samples and classified into broad taxonomic groups. Land-use history was obtained from the interpretation of Landsat time series imagery. At each study site, we identified past events of forest clearing through the visualization of Landsat 4, 5, 7 and 8 images (available at http://earthexplorer.usgs.gov) acquired between 1984 and 2016. Clearing events were detected from changes in forest patterns identified in true color image composites (combining red, green and blue bands) and images classified with the normalized difference vegetation index (NDVI). The number images used varied with year and location due to availability and cloud cover, but all sites were covered by at least one image per year. Overall, we analyzed 1508 images. The moment of forest clearance was not always observed but could always be dated with year-level accurately inferred from vegetation contrasts of sequential images. Field estimates of forest regeneration age and interviews of local people were used to validate satellite imagery interpretation.
Authors
- Rousseau, Guillaume Xavier ;
- Serra, Raymony Tayllon Alves ;
- Pinzón Triana, Stefania ;
- Gutiérrez, Jhonatan Andrés Muñoz ;
- Guerrero, Jesús Enrique Burgos ;
- Piedade, Alexandra Rocha ;
- Silva, Rogério dos Santos ;
- Santos, Carlos David