Measurements of the percentages of leaves in 31 morphological (or architectural) categories found in 245 leaf floras from 4 studies.
data(Leaves)A data frame with 245 observations on the following 33 variables.
Lobda numeric vector giving percentage Lobed leaves
Entra numeric vector giving percentage Entire leaves
TRega numeric vector giving percentage leaves with Regular Teeth
TClsa numeric vector giving percentage leaves with Close Teeth
TRnda numeric vector giving percentage leaves with Round Teeth
TAcua numeric vector giving percentage leaves Acute Teeth
TCmpa numeric vector giving percentage leaves with Compound Teeth
ZNana numeric vector giving percentage Nanophyll leaves
ZLe1a numeric vector giving percentage Leptophyll1 leaves
ZLe2a numeric vector giving percentage Leptophyll2 leaves
ZMi1a numeric vector giving percentage Microphyll1 leaves
ZMi2a numeric vector giving percentage Microphyll2 leaves
ZMi3a numeric vector giving percentage Microphyll3 leaves
ZMe1a numeric vector giving percentage Megaphyll1 leaves
ZMe2a numeric vector giving percentage Megaphyll2 leaves
ZMe3a numeric vector giving percentage Megaphyll3 leaves
AEmga numeric vector giving percentage leaves with Emarginate Apexes
ARnda numeric vector giving percentage leaves with Round Apexes
AAcua numeric vector giving percentage leaves with Acute Apexes
AAtna numeric vector giving percentage leaves with Attenuate Apexes
BCora numeric vector giving percentage leaves with Cordate Bases
BRnda numeric vector giving percentage leaves with Round Bases
BAcua numeric vector giving percentage leaves with Acute Bases
Rlt1a numeric vector giving percentage leaves with aspect ratio less than 1:1 (i.e. wider than long)
Rb12a numeric vector giving percentage leaves with aspect ratio between 1:1 and 1:2
Rb23a numeric vector giving percentage leaves with aspect ratio between 1:2 and 1:3
Rb34a numeric vector giving percentage leaves with aspect ratio between 1:3 and 1:4
Rgt4a numeric vector giving percentage leaves with aspect ratio between greater than 1:4
SOboa numeric vector giving percentage Obovate leaves
SElpa numeric vector giving percentage Elliptical leaves
SOvta numeric vector giving percentage Ovate leaves
MATa numeric vector giving mean annual temperature in degrees Centigrade
Studya factor with levels Wolfe173 Jacobs Gregory Kowalski
Data consists of a data frame with 245 rows and 33 columns (variables). The rows represent floras (collections of plants from a defined locality); the first 31 variables are percentages of leaves in each flora in each of 31 morphological categories; the 32nd variable is mean annual temperature of the area from which the floras was collected in degrees C, and the 32nd is a factor indicating which of 4 published studies the floras come from. See cited publications for more details.
Gregory-Wodzicki, K. M. (2000) Relationships between leaf morphology and climate, Bolivia: implications for estimating paleoclimate from fossil floras. Paleobiology 26(4):668--688.
Jacobs, B. F. (1999) Estimation of rainfall variables from leaf characters in tropical Africa. Palaeogeography, Palaeoclimatology, Palaeoecology 145:231--250.
Jacobs, B. F. (2002) Estimation of low-latitude paleoclimates using fossil angiosperm leaves: examples from the Miocene Tugen Hills, Kenya. Paleobiology 28(3):399--421.
Kowalski, E. A. (2002) Mean annual temperature estimation base on leaf morphology: a test from tropical South America. Palaeogeography, Palaeoclimatology, Palaeoecology 188:141--165.
Wolfe, J.A., (1993), A method of obtaining climatic parameters from leaf assemblages. U.S. Geological Survey Bulletin 2040, 73 pp.
data(Leaves)
## maybe str(Leaves) ; plot(Leaves) ...
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