Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy

Use leaf physiognomic methods to reconstruct mean annual temperature (MAT), mean annual precipitation (MAP), and leaf dry mass per area (Ma), along with other useful quantitative leaf traits. Methods in this package described in Lowe et al. (in review).

dilp

The goal of dilp is to help with analysis of quantitative fossil leaf traits. Key functions included are:

• Digital Leaf Physiognomy - dilp()

  • Estimate mean annual temperature and mean annual precipitation using multiple linear regressions.

• Fossil Leaf Mass per Area - lma()

  • Reconstruct leaf mass per area using leaf area and petiole width

• Leaf Margin Analysis - temp_slr()

  • Estimate mean annual temperature using leaf margin analysis

• Leaf Area Analysis - precip_slr()

  • Estimate mean annual precipitation using leaf area analysis

Installation

You can install the stable version of dilp from your R session with:

install.packages("dilp")

You can install the development version of dilp from GitHub with:

# install.packages("devtools")
devtools::install_github("mjbutrim/dilp")

Example

Find a basic example of running a DiLP and LMA analysis in this vignette

For ease of use, a template spreadsheet for data collection can be found here: DiLP Data Collection Template

If you encounter any problems, or would like to request a feature, please create an issue here