Chelonoidis denticulatus

Chelonoidis denticulatus We recorded 35 individuals of C. denticulatus, 33 in active search during transects and two by occasional encounters. The records of occurrence of C. denticulatus were similarly distributed among the regions of the Reserve (west, north and south; Figure S1). Most individuals of C. denticulatus were recorded in the coastal plain forest (97.1%), at an average distance of 280 m from the nearest water resource. We detected the species at 14 out of 24 sampling sites. The estimated population size of C. denticulatus for the entire reserve area was 153 individuals (153.27 ± 18.09). The estimated probability of occupancy was 66% (0.66 ± 0.12) and the estimated detection probability was 12% (0.12 ± 0.02). The results of the model selection indicated that only the accumulated rainfall of the day before the sampling influenced the detectability of C. denticulatus, showing a positive relationship with the climate variable (Figure 2). In addition, the best occupancy models contained the variables of distance from water and forest cover (Table 1). The probability of C. denticulatus occupancy increased with increasing percentage of forest cover and decreased with increasing distance from water (Figure 3). However, it is important to note that the difference in AIC values between the top model and the next best model, which excluded forest cover, was minimal. This slight difference suggests that the simpler model, with fewer parameters, could also be considered a strong candidate. While we selected the model including forest cover as the best model, both models provide valuable insights into the factors influencing the occupancy of C. denticulatus.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-02
DOI
https://doi.org/10.5281/zenodo.13773266
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chelonoidis denticulatus

Zenodo (CERN European Organization for Nuclear Research)
Aquatic Ecosystems and Phytoplankton Dynamics
article

Chelonoidis denticulatus

article en

Abstract

Chelonoidis denticulatus We recorded 35 individuals of C. denticulatus, 33 in active search during transects and two by occasional encounters. The records of occurrence of C. denticulatus were similarly distributed among the regions of the Reserve (west, north and south; Figure S1). Most individuals of C. denticulatus were recorded in the coastal plain forest (97.1%), at an average distance of 280 m from the nearest water resource. We detected the species at 14 out of 24 sampling sites. The estimated population size of C. denticulatus for the entire reserve area was 153 individuals (153.27 ± 18.09). The estimated probability of occupancy was 66% (0.66 ± 0.12) and the estimated detection probability was 12% (0.12 ± 0.02). The results of the model selection indicated that only the accumulated rainfall of the day before the sampling influenced the detectability of C. denticulatus, showing a positive relationship with the climate variable (Figure 2). In addition, the best occupancy models contained the variables of distance from water and forest cover (Table 1). The probability of C. denticulatus occupancy increased with increasing percentage of forest cover and decreased with increasing distance from water (Figure 3). However, it is important to note that the difference in AIC values between the top model and the next best model, which excluded forest cover, was minimal. This slight difference suggests that the simpler model, with fewer parameters, could also be considered a strong candidate. While we selected the model including forest cover as the best model, both models provide valuable insights into the factors influencing the occupancy of C. denticulatus.

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 75%
Aquatic Ecosystems and Phytoplankton Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.