View source: R/dilp_functions.R
dilp | R Documentation |
dilp()
processes raw leaf physiognomic data, checks for common
errors/outliers, and returns the processed data, keys to finding potential
errors or outliers, and paleoclimate reconstructions.
dilp(specimen_data, params = "PeppeGlobal", subsite_cols = NULL)
specimen_data |
A data frame containing specimen level leaf physiognomic
data. See Lowe et al. 2024 for more information on how to collect this data.
A good reference for how to put together the data: Required columns:
Recommended columns:
|
params |
Either a string referring to one of two preloaded parameter sets of a list of custom parameters (same format as the list below). Preloaded parameter sets are "PeppeGlobal" and "PeppeNH" which are calibrated based on global and northern hemisphere data respectively. Allen et al. (2020) illustrates a situation in which the northern hemisphere parameters may be preferable. The "PeppeNH" parameters only estimate MAT. Use "PeppeGlobal" for all MAP estimates. Defaults to "PeppeGlobal" as follows (Peppe et al. 2011):
|
subsite_cols |
A vector or list of columns present in |
A list of tables that includes all pertinent DiLP information:
processed_leaf_data: the full set of cleaned and newly calculated leaf
physiognomic data that is necessary for DiLP analysis. See dilp_processing()
for more information.
processed_morphotype_data: morphospecies-site pair means for all leaf physiognomic data.
processed_site_data: site means for all leaf physiognomic data.
errors: lists any specimens that may be causing common errors in DiLP
calculations. See dilp_errors()
for more information.
outliers: flags outliers in variables used for DiLP analysis that may
represent incorrect data. See dilp_outliers()
for more information.
results: climate reconstructions of MAT and MAP using single and multi-linear regressions.
Allen, S. E., Lowe, A. J., Peppe, D. J., & Meyer, H. W. (2020). Paleoclimate and paleoecology of the latest Eocene Florissant flora of central Colorado, USA. Palaeogeography, Palaeoclimatology, Palaeoecology, 551, 109678.
Peppe, D.J., Royer, D.L., Cariglino, B., Oliver, S.Y., Newman, S., Leight, E., Enikolopov, G., Fernandez-Burgos, M., Herrera, F., Adams, J.M., Correa, E., Currano, E.D., Erickson, J.M., Hinojosa, L.F., Hoganson, J.W., Iglesias, A., Jaramillo, C.A., Johnson, K.R., Jordan, G.J., Kraft, N.J.B., Lovelock, E.C., Lusk, C.H., Niinemets, Ü., Peñuelas, J., Rapson, G., Wing, S.L. and Wright, I.J. (2011), Sensitivity of leaf size and shape to climate: global patterns and paleoclimatic applications. New Phytologist, 190: 724-739. https://doi.org/10.1111/j.1469-8137.2010.03615.x
Lowe. A.J., Flynn, A.G., Butrim, M.J., Baumgartner, A., Peppe, D.J., and Royer, D.L. (2024), Reconstructing terrestrial paleoclimate and paleoecology with fossil leaves using Digital Leaf Physiognomy and leaf mass per area. JoVE.
dilp_results <- dilp(McAbeeExample)
dilp_results$processed_leaf_data
dilp_results$processed_morphotype_data
dilp_results$processed_site_data
dilp_results$errors
dilp_results$outliers
dilp_results$results
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