Leaf-level trade-offs between drought avoidance and desiccation recovery drive elevation stratification in arid oaks: site environmental data, individual tree stem and leaf physiological data, and analyses

Statistics
View Statistics

Collection period

2014-05-01
2015-09-19

Date completed

2018-02-13

Date updated

Time period coverage

Geographic coverage

Chiricahua Mountains, Coronado National Forest, Arizona, USA

Source information

Journal Title

Journal ISSN

Volume Title

Title

Leaf-level trade-offs between drought avoidance and desiccation recovery drive elevation stratification in arid oaks: site environmental data, individual tree stem and leaf physiological data, and analyses

Published Date

2018-02-14T14:50:00Z

Group

Author Contact

Fallon, Beth
eafallon@umn.edu

Type

Dataset
Experimental Data
Field Study Data
Statistical Computing Software Code

Abstract

This dataset and RStudio project includes all processed data, most raw data, and R scripts needed for analysis and figure construction included in the manuscript Fallon and J. Cavender-Bares 2018 (Fallon B. and J. Cavender-Bares. 2018. Leaf-level trade-offs between drought avoidance and desiccation recovery drive elevation stratification in arid oaks. Ecosphere. in press). We investigated whether oak species in the Chiricahua Mountains were 1) elevationally stratified, 2) whether that stratification was correlated with temperature minima, maxima, and water availability, 3) if physiological tolerances to freezing or drought stress correlated with elevation ranges, and 4) if traits important to local (elevation) distributions were correlated with climatic values of the wider species ranges. Data were collected at field sites from wild, adult trees in the Chiricahua Mountains, Arizona, USA from 2014-2015.This research was done with funding to B. Fallon from the Southwestern Research Station (SWRS, American Museum of Natural History), the University of Minnesota Charles J. Brand, Carolyn Crosby, and Dayton Bell Fellowships, and the Department of Plant and Microbial Biology. Additional funding was provided by NSF Award 1146380 (J. Cavender-Bares PI). We performed all data collection under permit with the Coronado National Forest, Douglas Ranger District, managed by the United States Forest Service (USDA).

Description

The zip file contains folders, scripts, and data necessary to reproduce the analysis and figures. Once unzipped, all scripts and data can be opened and run in RStudio with the "RStudio Project Leaf-level tradeoffs oaks AZ.Rproj" file. All folders with data (folders proceeded by “input_”, the “gen_data” folder, and the “hipp_etal” folder) contain separate readme files that document the individual files in that folder. See the primary README.txt for more information.

Funding Information

This research was done with funding to B. Fallon from the Southwestern Research Station (SWRS, American Museum of Natural History), the University of Minnesota Charles J. Brand, Carolyn Crosby, and Dayton Bell Fellowships, and the Department of Plant and Microbial Biology. Additional funding was provided by NSF Award 1146380 (J. Cavender-Bares PI).

Referenced by

Fallon, B., and J. Cavender‐Bares. 2018. Leaf‐level trade‐offs between drought avoidance and desiccation recovery drive elevation stratification in arid oaks. Ecosphere 9(3):e02149.
https://doi.org/10.1002/ecs2.2149

Related to

Replaces

Publisher

Funding information

This research was done with funding to B. Fallon from the Southwestern Research Station (SWRS, American Museum of Natural History), the University of Minnesota Charles J. Brand, Carolyn Crosby, and Dayton Bell Fellowships, and the Department of Plant and Microbial Biology. Additional funding was provided by NSF Award 1146380 (J. Cavender-Bares PI).

Previously Published Citation

Suggested citation

View/Download file
File View/OpenDescriptionSize
Leaf-level tradeoffs oaks AZ.zipZipped file containing all data files and R scripts within an R Studio project4.86 MB
README.txtPrimary documentation file6.12 KB

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.