Investigating the utilisation of woody plant species at an Early Iron Age site in KwaZulu-Natal, South Africa, by means of identifying archaeological charcoal

2019 ◽  
Vol 11 (12) ◽  
pp. 6737-6750
Author(s):  
Alisoun House ◽  
Marion K. Bamford
Keyword(s):  
South Africa ◽  
Plant Species ◽  
Iron Age ◽  
Woody Plant ◽  
Early Iron Age ◽  
Woody Plant Species ◽  
Kwazulu Natal

Field identification of roots of woody plants of the savanna ecosystem study area, Nylsvley

Bothalia ◽  
1980 ◽  
Vol 13 (1/2) ◽  
pp. 171-184 ◽  
Author(s):  
M. C. Rutherford
Keyword(s):  
South Africa ◽  
Plant Species ◽  
Woody Plants ◽  
Woody Plant ◽  
Root Systems ◽  
Woody Plant Species ◽  
Field Identification ◽  
Fresh Root

A key for the field identification of fresh root material of 21 woody plant species on the savanna ecosystem study area, Nylsvley, South Africa, is given. Descriptions of macroscopic features of roots as well as photographic descriptions of roots and root systems are provided.

scholarly journals The distribution of woody species in relation to climate and fire in Yosemite National Park, California, USA

Fire Ecology ◽  
2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Jan W. van Wagtendonk ◽  
Peggy E. Moore ◽  
Julie L. Yee ◽  
James A. Lutz
Keyword(s):  
Plant Species ◽  
Sierra Nevada ◽  
Species Distribution ◽  
National Park ◽  
Woody Plant ◽  
Fire Regime ◽  
Yosemite National Park ◽  
Distribution Models ◽  
Ecological Zones ◽  
Woody Plant Species

Abstract Background The effects of climate on plant species ranges are well appreciated, but the effects of other processes, such as fire, on plant species distribution are less well understood. We used a dataset of 561 plots 0.1 ha in size located throughout Yosemite National Park, in the Sierra Nevada of California, USA, to determine the joint effects of fire and climate on woody plant species. We analyzed the effect of climate (annual actual evapotranspiration [AET], climatic water deficit [Deficit]) and fire characteristics (occurrence [BURN] for all plots, fire return interval departure [FRID] for unburned plots, and severity of the most severe fire [dNBR]) on the distribution of woody plant species. Results Of 43 species that were present on at least two plots, 38 species occurred on five or more plots. Of those 38 species, models for the distribution of 13 species (34%) were significantly improved by including the variable for fire occurrence (BURN). Models for the distribution of 10 species (26%) were significantly improved by including FRID, and two species (5%) were improved by including dNBR. Species for which distribution models were improved by inclusion of fire variables included some of the most areally extensive woody plants. Species and ecological zones were aligned along an AET-Deficit gradient from cool and moist to hot and dry conditions. Conclusions In fire-frequent ecosystems, such as those in most of western North America, species distribution models were improved by including variables related to fire. Models for changing species distributions would also be improved by considering potential changes to the fire regime.

Weight–diameter relationships for 22 woody plant species

1969 ◽  
Vol 47 (12) ◽  
pp. 1851-1855 ◽  
Author(s):  
E. S. Telfer
Keyword(s):  
Plant Species ◽  
Woody Plants ◽  
Woody Plant ◽  
Stem Diameter ◽  
Prediction Equations ◽  
Woody Plant Species ◽  
Leaf Weight ◽  
Ground Line

Prediction equations are presented for use in estimating total aboveground weight and maximum leaf weight for 22 species of woody plants. Stem diameter at the ground line was found to be closely correlated with both total and leaf weights. This diameter was therefore used in the equations as the measurement from which weights were predicted.

scholarly journals Estimation of water stress tolerance of six woody plant species

2021 ◽  
Vol 5 (2) ◽  
pp. 64-72
Author(s):  
Danesha Seth Carley ◽  
Lauren A Gragg ◽  
Matthew J Matthew ◽  
Thomas W Rufty
Keyword(s):  
Water Stress ◽  
Stress Tolerance ◽  
Plant Species ◽  
Woody Plant ◽  
Woody Plant Species ◽  
Water Stress Tolerance
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