Caracterización de las Charcas temporales Reserva Natural Bojonawi, Puerto Carreño, Vichada

Caracterización de las charcas realizada entre mayo y agosto de 2019 en la Reserva Natural Bojonawi.

Esta caracterización fue realizada en dos islas de roca separdas por un bosque inundable.

#comando para poder incluir imágenes:

knitr::include_graphics("rocas.png")

En la figura cada punto representa una charca.

Se midió el perímetro, temperatura, profundidad y cobertura vegetal de las charcas.

La base de datos

charcas <-read.table("charcas.txt",h=T)
head(charcas)
##    Charca   Roca Perimetro cobertura dias_data Temp_Avg Temp_max Temp_min
## 1 ch1_gec Geckos     40.20    74.437        27 27.62222 34.44624 24.27885
## 2 ch2_gec Geckos     15.18    63.084        27 29.50999 46.84445 24.70785
## 3 ch3_gec Geckos    132.50    91.796        27 29.34216 41.95381 25.39426
## 4 ch4_gec Geckos     27.20    36.842        27 29.16288 36.11935 25.73746
## 5 ch5_gec Geckos     51.50    51.362        27 28.91176 37.49000 24.62000
## 6 ch6_gec Geckos    109.20    92.777        27 26.69746 30.58521 24.62205
##   Temp_rang  Temp_sd dias_prof prom_prof max_prof min_prof rang_prof
## 1 10.167393 1.995897        14     5.736      7.5      4.0       3.5
## 2 22.136600 3.631623        14     2.714      3.6      1.0       2.6
## 3 16.559549 3.601277        14     4.864      7.0      2.5       4.5
## 4 10.381893 2.382453         8    10.875     13.5      7.5       6.0
## 5 12.870000 3.040647         8     4.400      5.0      3.5       1.5
## 6  5.963154 1.115672        14     3.114      4.5      1.0       3.5
##   sd_prof
## 1   0.999
## 2   0.876
## 3   1.345
## 4   1.996
## 5   0.581
## 6   1.026

Figuras exploratorias

explicación pirate_plots

library(ggplot2)
## Warning: package 'ggplot2' was built under R version 3.6.2
library(RColorBrewer)
library(viridisLite)
library(viridis)

# Para las figuras de violín:
library(yarrr)
## Loading required package: jpeg
## Loading required package: BayesFactor
## Loading required package: coda
## Warning: package 'coda' was built under R version 3.6.2
## Loading required package: Matrix
## ************
## Welcome to BayesFactor 0.9.12-4.2. If you have questions, please contact Richard Morey (richarddmorey@gmail.com).
## 
## Type BFManual() to open the manual.
## ************
## Loading required package: circlize
## Warning: package 'circlize' was built under R version 3.6.2
## ========================================
## circlize version 0.4.11
## CRAN page: https://cran.r-project.org/package=circlize
## Github page: https://github.com/jokergoo/circlize
## Documentation: https://jokergoo.github.io/circlize_book/book/
## 
## If you use it in published research, please cite:
## Gu, Z. circlize implements and enhances circular visualization
##   in R. Bioinformatics 2014.
## 
## This message can be suppressed by:
##   suppressPackageStartupMessages(library(circlize))
## ========================================
## yarrr v0.1.5. Citation info at citation('yarrr'). Package guide at yarrr.guide()
## Email me at Nathaniel.D.Phillips.is@gmail.com
## 
## Attaching package: 'yarrr'
## The following object is masked from 'package:ggplot2':
## 
##     diamonds

Diferencias entre las rocas (Caricari vs Geckos)

Perímetro

pirateplot(formula = Perimetro~Roca,
           data = charcas,
           theme = 3, pal="nemo",xlab = "Roca", ylab = "Perímetro (m)")

Cobertura vegetal

pirateplot(formula = cobertura~Roca,
           data = charcas,
           theme = 3, pal="nemo",xlab = "Roca", ylab = "Cobertura vegetal (%)")

Temperatura Máxima

pirateplot(formula = Temp_max~Roca,
           data = charcas,
           theme = 3, pal="nemo",xlab="Roca", ylab="Temperatura máxima °C")

Rango de Temperatura

pirateplot(formula = Temp_rang~Roca,
           data = charcas,
           theme = 3, pal="nemo",xlab="Roca", ylab="Rango de temperatura °C")