Disc pasture meter calibration to estimate grass biomass production in the arid dunefield of the south-western Kalahari

2019 | Zeitschriftenartikel; Forschungsarbeit. Eine Publikation mit Affiliation zur Georg-August-Universität Göttingen.

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​Disc pasture meter calibration to estimate grass biomass production in the arid dunefield of the south-western Kalahari​
Harmse, C. J.; Dreber, N.   & Trollope, W. S. W.​ (2019) 
African Journal of Range & Forage Science36(3) pp. 161​-164​.​ DOI: https://doi.org/10.2989/10220119.2019.1610905 

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Autor(en)
Harmse, Christiaan J.; Dreber, Niels ; Trollope, Winston S. W.
Zusammenfassung
The disc pasture meter (DPM) is a tool that is widely used to estimate aboveground standing grass biomass (ASB) in a rapid and non-destructive manner. Depending on the species composition, rangeland condition and local climate, available DPM calibrations may fail in providing precise measurements for a certain area. We calibrated a DPM for the arid dunefield savanna of the south-western Kalahari as found in the Northern Cape province of South Africa and bordering Namibia and Botswana. Assessments were done at 30 sites and restricted to inter-dune areas. The site selection accounted for different grazing conditions to ensure a better representation of the variability in ASB in the region. We determined grass species composition, basal cover and dry matter production in relation to height readings of the DPM. The grass sward was dominated by the species Stipagrostis ciliata, S. obtusa and Schmidtia kalahariensis, with a mean density of 25 cm point-to-tuft distances. Based on 90 paired observations of ASB and disc height (x; cm), the equation ӯ (kg ha−1) = 213.37(x) + 103.36 (r2 = 0.760) was established. In comparison to other models, the equation avoids an overestimation of ASB in this vegetation type, and thus leads to more accurate estimations.
Erscheinungsdatum
2019
Zeitschrift
African Journal of Range & Forage Science 
Organisation
Fakultät für Forstwissenschaften und Waldökologie ; Büsgen-Institut ; Abteilung Ökosystemmodellierung 
ISSN
1022-0119; 1727-9380
Sprache
Englisch

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