Recolonization of secondary forests by a locally extinct Caribbean anole through the lens of range expansion theory
Data files
Jan 24, 2024 version files 124.83 KB
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anolis_transect_data_carite_21.csv
1.50 KB
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anolis_transect_data_ev_19.csv
6.14 KB
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anolis_transect_data_ev_21.csv
9.33 KB
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anolissitedata_carite_21.csv
107 B
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anolissitedata_ev_19.csv
301 B
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anolissitedata_ev_21.csv
292 B
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data_parasitism.csv
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data_phenotypic_traits.csv
59.92 KB
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data_tails.csv
32.39 KB
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README.md
6.63 KB
Abstract
Disturbance and recovery dynamics are characteristic features of many ecosystems. Disturbance dynamics are widely studied in ecology and conservation biology. Still, we know less about the ecological processes that drive ecosystem recovery. The ecological processes that mediate ecosystem recovery stand at the intersection of many theoretical frameworks. Range expansion theory is one of these complementary frameworks that can provide unique insights into the population-level processes that mediate ecosystem recovery, particularly fauna recolonization. Although the biodiversity patterns that follow fauna recolonization of recovering forests have been well described in the literature, the ecological processes at the population level that drive these patterns remain conspicuously unknown. In this study, we tested three fundamental predictions of range expansion theory during the recolonization of recovering forests in Puerto Rico by a shade specialist anole, Anolis gundlachi. Range expansion theory predicts that individuals at the early stages of recolonization (i.e., younger forests) would have a high prevalence of dispersive traits, experience less density dependence, and suffer less parasitism. To test these predictions, we conducted a chronosequence study applying space-for-time substitution where we compared phenotypic traits (i.e., body size, body condition, and relative limb size), population density, population growth rates, and Plasmodium parasitism rates among lizard populations living in young (< 30 years), mid (40–60 years), and old-growth forests (> 75 years). Lizard populations in younger forests had lower densities, higher population growth rates, and lower rates of Plasmodium parasitism compared with old-growth forests. Still, while we found that individuals had larger body sizes, and longer forelimbs in young forests in one site, this result was not consistent among sites. This suggests a potential trade-off between the traits that provide a dispersal advantage during the initial stages of recolonization and those that are advantageous to establish in novel environmental conditions. Overall, our study emphasizes the suitability of range expansion theory to describe fauna recolonization but also highlights that the ecological processes that drive recolonization are time-dependent, complex, and nuanced.
README: Recolonization of secondary forests by a locally extinct Caribbean anole through the lens of range expansion theory
https://doi.org/10.5061/dryad.jwstqjqgm
Give a brief summary of dataset contents, contextualized in experimental procedures and results.
1. Paper information
Citation: Acevedo et al. In press. Recolonization of secondary forests by a locally extinct Caribbean anole through the lens of range expansion theory. Ecological Applications
2. Originators
Miguel A. Acevedo
Carly Fankhauser
Luis Gonzalez
Marne Quigg
Bella Gonzalez
Riccardo Papa
3. Contact Information
Miguel Acevedo
Department of Wildlife Ecology and Conservation
University of Florida
email: maacevedo@ufl.edu
4. Date of data collection:
December 2018 - June 2022
5. Geographic location of data collection
Puerto Rico
6. Information about funding sources that supported the collection of the data:
National Science Foundation (No. 1754401)
7. Access Information
Creative Commons Zero v1.0 Universal
8. Data files and variables
data_phenotypic_traits.csv - describes phenotypic traits of Anolis gundlachi lizards captured in chronosquences in Puerto Rico
- uid: describes a unique identification number for each individual
- date: date that the data was collected in the field (month/day/year)
- f1: measure of the radius/ulna of the lizard in mm measured with an analog caliper
- f2: measure of the humerus of the lizard in mm measured with an analog caliper
- b1: measure of the tibia/fibula of the lizard in mm measured with an analog caliper
- b2: measure of the femur of the lizard in mm measured with an analog caliper
- svl: snout-to-vent length of the lizard measured in mm with a clear ruler
- weight: weight of the lizard in g measured with a pesola
- sex: male, female, juvenile or NA
- dbh: diameter at breast height of the substrate where the lizard was captured (cm)
- temp: temperature in F of the substrate where the lizard was captured
- site: chronosequence in Puerto Rico where the lizard was captured (El Verde, Carite1, Carite2)
- season: field season where the lizard was captured
- forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
data_parasitism.csv - describes malaria infection status of Anolis gundlachi lizards captured in chronosequences in Puerto Rico
uid: describes a unique identification number for each individual
infection: Plasmodium spp. infection status (0 not infected, 1 infected)
svl: snout-to-vent length of the lizard measured in mm with a clear ruler
weight: weight of the lizard in g measured with a pesola
sex: male, female
forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
site: chronosequence in Puerto Rico where the lizard was captured (El Verde, Carite1, Carite2)
season: field season where the lizard was captured
anolissitedata_ev_21.csv - site data for distance sampling in El Verde in 2021
- siteID: transect name. These names were given by our field team.
- length: transect length in m
- observer: who in the team was the observer. In this case Isla Hession
- age: forest age: mid, old, young
anolissitedata_ev_19 - site data for distance sampling in El Verde in 2019
- siteID: transect name. These names were given by our field team.
- length: transect length in m
- observer: who in the team was the observer. In this case Luis Gonzalez
- age: forest age: mid, old, young
anolissitedata_carite_21 - site data for distance sampling in Carite in 2021
- siteID: transect name. These names were given by our field team.
- length: transect length in m
- observer: who in the team was the observer. In this case Isla Hession
- age: forest age: mid, old, young
anolis_transect_data_ev_21 - detection data for distance sampling in El Verde in 2021
- ID: identification number for observation
- species: lizard species. "gund" is Anolis gundlachi
- distance_observer: distance to observer in meters
- angle: heading of lizard in degrees
- date: date of observation (month/date/year)
- site: transect name. This name was given by our field team.
- main_heading: heading of the transect
- forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
anolis_transect_data_ev_19 - detection data for distance sampling in El Verde in 2019
- ID: identification number for observation
- species: lizard species. "gund" is Anolis gundlachi
- distance_observer: distance to observer in meters
- angle: heading of lizard in degrees
- date: date of observation (month/date/year)
- site: transect name. This name was given by our field team.
- main_heading: heading of the transect
- forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
anolis_transect_data_carite_21 detection data for distance sampling in Carite in 2021
- ID: identification number for observation
- species: lizard species. "gund" is Anolis gundlachi
- distance_observer: distance to observer in meters
- angle: heading of lizard in degrees
- date: date of observation (month/date/year)
- site: transect name. This name was given by our field team.
- main_heading: heading of the transect
- forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
data_tails.csv - data on tail status (complete, broken, or regenerated) of A. gundlachi in chronosequences in Puerto Rico
- uid: describes a unique identification number for each individual
- sex: male, female, juvenile or NA
- site: chronosequence in Puerto Rico where the lizard was captured (El Verde, Carite1, Carite2)
- season: field season where the lizard was captured
- forest_age: Categorical variable of forest age, young (< 30 yrs), mid (50-70 yrs) and old (> 70 yrs).
- tail: tc is tail complete, tr is tail regenerated, and tb is tail broken
- tail_broken: tc is 0 and 1 otherwise.
Note that for all NA means that the data point is not available. We use 'NA' consistently among tables.
Code/Software
R code for statistical analyses is available in Zenodo.
Methods
We collected the data in three chronosequences (El Verde, Carite1, and Carite2) including forests of different ages (old of > 75 years; mid of 40–60 years and young of < 30 years) in Puerto Rico. We quantified phenotypic traits inside 20 x 20 m plots at each forest age (i.e., young, mid, old). To estimate abundance we conducted distance sampling with 50 m transects. Infection status was assessed by collecting tissue samples and conducting PCR diagnostics. Detailed methods are included in the manuscript.