Unraveling the cavity-nesting network at large spatial scales: The biogeographic role of woodpeckers as ecosystem engineers
Data files
Dec 11, 2023 version files 659.14 KB
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DATA_CAVITIES.csv
653.50 KB
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README.md
5.64 KB
Abstract
Aim: Cavities are usually a limiting resource for several forest-dwelling vertebrates, with effects that propagate through ecological networks. Although diverse assemblages of primary excavators (e.g., woodpeckers) are assumed to increase cavities, other forest resources can also limit populations of primary excavators and cavity users, thus undermining the ecological role of excavators over different scales. We aim to test the biogeographical-scale relationships between primary excavators and cavity users by distinguishing the contribution of forest characteristics.
Location: Southern South America
Methods: We used species distribution models, which combine bioclimatic and remote sensing derived variables, to map the richness of vertebrates composing the cavity network of temperate and Mediterranean forests of South America. Based on a resampling procedure for ensuring spatial independence, we fitted structural equation models to estimate causal relationships between forest characteristics and cavity-user vertebrates.
Results: Secondary cavity users (obligated, habitat generalists and forest specialists) were positively and strongly influenced by the richness of primary excavators, while mammal richness was more influenced by tree richness. The richness of trees and Nothofagus tree species influenced positively the richness of primary excavators and secondary cavity users. Canopy height and net primary productivity affected positively secondary cavity users.
Main conclusions: Our results confirm the role of primary excavators as ecosystem engineers but highlight the importance of considering large spatial scales when analyzing cavity-nesting networks. Biogeographical patterns of tree diversity and forest structure can be important drivers of cavity-nesting networks that remain hidden when studies are conducted over fine spatial scales.
README: Unraveling the cavity-nesting network at large spatial scales: the biogeographic role of woodpeckers as ecosystem engineers
Description of the Data and file structure
The spatial database that was used to model the cavity-nesting network in southern South America. Each variable was used in SEM analysis
Reference Information
Provenance for this README
- File name: README_ALANIZ_JBI_2024.txt
- Authors: Alberto J. Alaniz, Mario A. Carvajal, Madelaine Quiroz, Pablo M. Vergara, Pablo A. Marquet, Andrés Fierro, Kathryn E. Sieving, Darío Moreira-Arce, Claudia Hidalgo-Corrotea, Annia Rodríguez-San Pedro, Luis Allendes & Katerine Machuca
- Date created: 2022-09-19
- Date modified: 2022-09-20
Dataset Version and Release History
Current Version:
- Number: 3.0.0
- Date: 2023-12-04
- Persistent identifier: DOI: 10.5061/dryad.zs7h44jd
- Summary of changes: n/a
Embargo Provenance: n/a
- Scope of embargo: n/a
- Embargo period: n/a
Dataset Attribution and Usage
Dataset Title: Data for the article "Unraveling the cavity-nesting network at large spatial scales: The biogeographic role of woodpeckers as ecosystem engineers"
Persistent Identifier: https://doi.org/10.5061/dryad.zs7h44jd
Dataset Contributors: Alberto J. Alaniz, Mario A. Carvajal, Madelaine Quiroz, Pablo M. Vergara, Pablo A. Marquet, Andrés Fierro, Kathryn E. Sieving, Darío Moreira-Arce, Claudia Hidalgo-Corrotea, Annia Rodríguez-San Pedro, Luis Allendes & Katerine Machuca
Date of Issue: 2023-12-08
Publisher: University of Santiago
License: Use of these data is covered by the following license:
- Title: CC0 1.0 Universal (CC0 1.0)
- Specification: https://creativecommons.org/publicdomain/zero/1.0/; the authors respectfully request to be contacted by researchers interested in the re-use of these data so that the possibility of collaboration can be discussed.
Suggested Citations:
- Dataset citation: > Alaniz et al 2024. Data for the article "Unraveling the cavity-nesting network at large spatial scales: The biogeographic role of woodpeckers as ecosystem engineers", Dryad, Dataset, https://doi.org/10.5061/dryad.zs7h44jd
- Corresponding publication: > Alaniz et al 2024. Unraveling the cavity-nesting network at large spatial scales: The biogeographic role of woodpeckers as ecosystem engineers. Journal of Biogeography. Accepted. DOI: ----
Contact Information
Name: Pablo M. Vergara
Affiliations: Universidad de Santiago de Chile (USACH), Facultad Tecnológica, Departamento de Gestión Agraria, Santiago, Chile
ORCID ID: https://orcid.org/0000-0002-0024-1678
Email: pablo.vergara@usach.cl
Address: e-mail preferred
Alternative Contact:
- Name: Alberto J. Alaniz
- Affiliations: Universidad de Santiago de Chile (USACH), Facultad Tecnológica, Departamento de Gestión Agraria, Santiago, Chile
- ORCID ID: https://orcid.org/0000-0003-4878-8848
- Email: alberto.alaniz@usach.cl
- Address: e-mail preferred
Additional Dataset Metadata
Acknowledgements
- Funding sources: This research was funded by ANID-FONDECY number 1180978 and Proyecto DICYT Postdoc, Código 082375VE_Postdoc, Vicerrectoría de Investigación, Desarrollo e Innovación, Universidad de Santiago de Chile.
Dates and Locations
Dates of data collection: Field data collected from our own records, occurrences collected from previously published studies and data repositories.
Geographic locations of data collection: Occurrences across southern south American Conus.
Other locations pertaining to dataset contents: Botany Museum of the University of Concepción (trees dataset)
Methodological Information
- Methods of data collection/generation: see manuscript for details
Data and File Overview
Summary Metrics
- File count: 1
- Total file size: 638 KB
- File format: .csv
Table of Contents
- DATA_CAVITIES.csv
Setup
Unpacking instructions: n/a
Recommended software/tools: RStudio 2021.09.2; R version 3.6.3
Sharing/access Information
Data was not derived from another source.
Description: a comma-delimited file containing the information of cavity nesting network richness and environmental variables
Format(s): csv
Size(s): 638 KB
Dimensions: 4253 rows x 17 columns
Variables:
- Lat: Latitude (in meters based on WGS_1984_World_Mercator)
- Long: Longitude (in meters based on WGS_1984_World_Mercator)
- USERS_TOT: richness of all cavity users (Number of species)
- USERS_O: richness of obligated cavity users (Number of species)
- USERS_G: richness of generalist cavity users (Number of species)
- USERS_FS: richness of forest specialists (Number of species)
- USERS_MAM: richness of mammal cavity users (Number of species)
- primary: richness of woodpeckers (Number of species)
- tree_ri: richness of tree species (Number of species)
- ghm: human footprint index (dimensionless index ranging from 0 to 1)
- height: Forest canopy height (in meters)
- psri: plant senescence reflectance index (dimensionless index ranging from -1 to 1)
- npp: net primary production of plants ( in kg*C/m^2 scaled by 0.0001)
- notho_ri: richness of nothofagus species (Number of species)
- biomass: aboveground biomass (in mg / ha)
- Biome: biome type (1= Chilean matorral, 2=Valdivian temperate forest, 3= Magellanic subpolar forest)
END OF README
Methods
* Methods of data collection/generation: see manuscript for details.