Estimating wood volume from canopy area in deciduous woodlands of Zimbabwe

  • Tawanda W Gara
  • Amon Murwira
  • Emmerson Chivhenge
  • Timothy Dube
  • Tsitsi Bangira

Abstract

In this study we tested the predictive ability of canopy area in estimating wood volume in deciduous woodlands of Zimbabwe. The study was carried out in four sites of different climatic conditions. We used regression analysis to statistically quantify the prediction of wood volume from canopy area at species and stand level using field data. Our results revealed that canopy area significantly (P < 0.05) predicted wood volume at both levels. Furthermore, the results show that at the species-specific level, canopy area explained 54–81% of the variance in wood volume with standard error of estimate (SEE) ranging from 0.056 to 0.71 m3. At stand level, canopy area significantly (P < 0.05) explained 58–84% of the variance in total wood volume with SEE ranging from 0.15 to 3.99 m3 ha−1. Across all study sites, the relationship between canopy area and wood volume at stand level was best described by a logistic regression function, with a R2 value of 0.65 and SEE of 0.7 m3. We concluded that canopy area significantly (P < 0.05) predicted wood volume of dominant tree species in Zimbabwean deciduous woodlands. The relationship between wood volume and canopy area provides an opportunity of estimating wood volume using remote sensing as canopy area can be viewed and measured from aerial, as well as satellite-borne sensors.

Keywords: allometric equation, canopy area, deciduous woodlands, wood volume

Southern Forests 2014, 76(4): 237–244

Author Biographies

Tawanda W Gara
Department of Geography and Environmental Science, University of Zimbabwe, Harare, Zimbabwe
Amon Murwira
Department of Geography and Environmental Science, University of Zimbabwe, Harare, Zimbabwe
Emmerson Chivhenge
Department of Geography and Environmental Science, University of Zimbabwe, Harare, Zimbabwe
Timothy Dube
Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
Tsitsi Bangira
SAEON Egagasini Node, Roggebaai, Cape Town, South Africa
Published
2014-10-27
Section
Articles

Journal Identifiers


eISSN: 2070-2639
print ISSN: 2070-2620