A reliable and non-destructive method for estimating forage shrub cover and biomass in arid environments using digital vegetation charting technique
Autor: | Mounir Louhaichi, Kathryn Clifton, Douglas E. Johnson, Sawsan Hassan |
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Rok vydání: | 2017 |
Předmět: |
0106 biological sciences
Canopy Biomass (ecology) food.ingredient biology ved/biology ved/biology.organism_classification_rank.species Forestry 04 agricultural and veterinary sciences Vegetation biology.organism_classification 01 natural sciences Shrub Arid food Agronomy Haloxylon 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Rangeland Salsola vermiculata Agronomy and Crop Science 010606 plant biology & botany |
Zdroj: | Agroforestry Systems. 92:1341-1352 |
ISSN: | 1572-9680 0167-4366 |
Popis: | Despite the importance of fodder shrubs to small ruminant diets and production in arid and semi-arid ecosystems, they are often not considered when quantifying grazing land potential. This oversight is mainly due to the time consuming and costly traditional techniques used to estimate shrub biomass. 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. The cover of the seven species differed (P |
Databáze: | OpenAIRE |
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