Published February 14, 2022 | Version v1
Dataset Open

Amphbian larvae survey at Emas National Park, Brazil (2012/2013, 2014/2015, 2017/2018)

  • 1. Universidade Federal de Goiás
  • 2. State University of Santa Cruz

Description

Multiple factors contribute to explaining the composition and structure of communities and the niche is still the most used theory to describe how organisms interact with such factors to generate biological communities' patterns. Both biotic and abiotic aspects of the environment along with the geographic space interact in complex ways with the behavior and physiological tolerance of organisms to structure a community. In this study, we tested the potential effects of the environment and space that may determine the distribution of tadpoles in aquatic habitats located at Emas National Park. To this end, we sampled 23 aquatic habitats, described their environmental characteristics, recorded their geographic location, and carried out a survey of the tadpoles found. Later, we evaluated the effect of environmental and spatial variables on the distribution of species, through a Partial Redundancy analysis, using matrices of environmental descriptors and geographic location. We found that both environmental and spatial factors drive the distribution and the species composition of the studied assemblages. Also, when we analyzed the pattern of co-occurrence, we observed that the number of co-occurrence pairs of species in the Emas National Park is less frequent than expected by chance, suggesting that besides the effect of abiotic components (environmental and spatial factors), competition is a co-structuring factor in the assemblages of tadpoles.

Notes

The datasets are the raw data for local environmental descriptors and the output for intermediary steps of the analyses in our article. Our intention is to give transparency and allow replication of our statistical procedure. Raw data of species distribution and abundance can be found in the published article.

Abbreviations for the Paixao-et-al-2022-Raw-environmental-data.txt as follows:

Lenght Length in meters
Width Width in meters
Depth Depth in meters
Mravine Quantity of margin type: ravine
Mflat Quantity of margin type: flat
Minclined Quantity of margin type: inclined
Mexcavated Quantity of margin type: excavated
Scoarsegravel Quantity of substrate type: coarse gravel
Sfinegravel Quantity of substrate type: fine gravel
Ssand Quantity of substrate type: sand
Sclay Quantity of substrate type: clay
Smud Quantity of substrate type: mud
Slitter Quantity of substrate type: litter
Vitotal Quantity of vegetation inside the pond: total
Vinone Quantity of vegetation inside the pond: none
Viunderwater Quantity of vegetation inside the pond: underwater
Vifloating Quantity of vegetation inside the pond: floating
Viherberect Quantity of vegetation inside the pond: herbaceous erect
Vishrubby Quantity of vegetation inside the pond: shrubby
Viarboreal Quantity of vegetation inside the pond: arboreal
Vicattail Quantity of vegetation inside the pond: cattail
Vmnone Quantity of vegetation on margins: none
Vmherbaceous Quantity of vegetation on margins: herbaceous
Vmherberect Quantity of vegetation on margins: herbaceous erect
Vmshrubby Quantity of vegetation on margins: shrubby
Vmarboreal Quantity of vegetation on margins: arboreal
Vmcattail Quantity of vegetation on margins: cattail
USElong Land use around the pond: long-term culture (e.g. eucalyptus)
USEshort Land use around the pond: short-term culture (e.g. soy)
USEshrub Land use around the pond: grassland 
USEwoods Land use around the pond: forest
USEpasture Land use around the pond: pasture

 

Funding provided by: Conselho Nacional de Desenvolvimento Científico e Tecnológico
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003593
Award Number: 441276/2020-2

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