Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria

Louhaichi, Mounir

Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria

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Date

2019-12-31

Date Issued

2019-12-31

Contributes to SDGs

Authors

Louhaichi, Mounir

Hassan, Sawsan

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Citation

Mounir Louhaichi, Sawsan Hassan. (31/12/2019). Estimation of shrub canopy cover by digital vegetation charting technique (DVCT), Syria [Crop Yields in Field Experiments].

Abstract

The shrub fodder component should be measured to avoid underestimation of the carrying capacity of rangelands. In this study, we present a fast, reliable and non-destructive method to estimate canopy vegetation cover to obtain aboveground shrub biomass. The experiment was conducted under field conditions in northwest Syria, where seedlings of seven shrub species were monitored for one year: Atriplex leucoclada (Moq.) Boiss., A. halimus L., A. lentiformis (Torr.) S. Watson, A. canescens (Pursh) Nutt., A. nummularia Lindl., Salsola vermiculata L. and Haloxylon aphyllum (C.A. Meyer) Bunge. The experimental layout was a randomized complete block design with five replications. We explored the effectiveness of digital vegetation charting technique (DVCT) for estimating shrub canopy cover. Aboveground shrub biomass was clipped to estimate the dry matter (DM) weight per species and to determine its relationship to canopy cover. In this study, an estimate of greenness (percent green vegetation cover) was extracted by way of greenness algorithms. Simple linear regressions between vegetation cover and biomass for 210 plots were performed.