DOI: 10.1016/j.jag.2015.04.019
Scopus记录号: 2-s2.0-84943646558
论文题名: Spectral indicators of forage quality in West Africa's tropical savannas
作者: Ferner J ; , Linstädter A ; , Südekum K ; -H ; , Schmidtleina S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 41 起始页码: 99
结束页码: 106
语种: 英语
英文关键词: Field spectroscopy
; Green biomass
; Metabolisable energy
; Partial least squares regression
; Rangeland
; West Africa
Scopus关键词: biomass
; forage
; least squares method
; numerical model
; rangeland
; regression analysis
; savanna
; West Africa
英文摘要: Forage is among the essential ecosystem services provided by tropical savannas. Expected changes in climate and land usemaycause a strong decline in herbaceous forage provision and thus make it advisable to monitor its dynamics. Spectroscopy offers promising tools for fast and non-destructive estimations of forage variables, yet suffers from unfavourable measurement conditions during the tropical growing period such as frequent cloud cover and high humidity. This study aims to test whether spatio-temporal information on the quality (metabolisable energy content, ME) and quantity (green biomass, BM) of West African forage resources can be correlated to in situ measured reflectance data. We could establish robust and independent models via partial least squares regression, when spectra were preprocessed using second derivative transformation (ME: max. adjusted R2 in validation (adjR2 VAL) = 0.83, min. normalised root mean square error (nRMSE) = 7.3%; BM: max. adjR2 VAL = 0.75, min. nRMSE = 9.4%). Reflectance data with a reduced spectral range (350-1075 nm) still rendered satisfactory accuracy. Our results confirm that a strong correlation between forage characteristics and reflectance of tropical savanna vegetation can be found. For the first time in field spectroscopy studies, forage quality is modelled as ME content based on 24-h in vitro gas production in the Hohenheim gas test system and crude protein concentration of BM. Established spectral models could help to monitor forage provision in space and time, which is of great importance for an adaptive livestock management. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79492
Appears in Collections: 气候变化事实与影响
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作者单位: University of Bonn, Centre for Remote Sensing of Land Surfaces, Walter-Flex-Straße 3, Bonn, Germany; University of Cologne, Range Ecology and Range Management Group, Botanical Institute, Zülpicher Straße 47b, Cologne, Germany; University of Bonn, Institute of Animal Science, Endenicher Allee 15, Bonn, Germany; Karlsruhe Institute of Technology, Institute of Geography und Geoecology, Kaiserstraße 12, Karlsruhe, Germany
Recommended Citation:
Ferner J,, Linstädter A,, Südekum K,et al. Spectral indicators of forage quality in West Africa's tropical savannas[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,41