Universität zu Köln

Ferner, J., Linstaedter, A., Suedekum, K. -H. and Schmidtlein, S. (2015). Spectral indicators of forage quality in West Africa's tropical savannas. Int. J. Appl. Earth Obs. Geoinf., 41. S. 99 - 107. AMSTERDAM: ELSEVIER SCIENCE BV. ISSN 0303-2434

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Abstract

Forage is among the essential ecosystem services provided by tropical savannas. Expected changes in climate and land use may cause 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 R-2 in validation (adiR(VAL)(2))= 0.83, min. normalised root mean square error (nRMSE)= 7.3%; BM: max.adiR(VAL)(2) = 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. (C) 2015 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ferner, J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Linstaedter, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Suedekum, K. -H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schmidtlein, S. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-395548
DOI:	10.1016/j.jag.2015.04.019
Journal or Publication Title:	Int. J. Appl. Earth Obs. Geoinf.
Volume:	41
Page Range:	S. 99 - 107
Date:	2015
Publisher:	ELSEVIER SCIENCE BV
Place of Publication:	AMSTERDAM
ISSN:	0303-2434
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language LEAST-SQUARES REGRESSION; IN-VITRO; HYPERSPECTRAL DATA; PASTURE QUALITY; CLIMATE-CHANGE; CRUDE PROTEIN; NEW-ZEALAND; LAND-USE; CANOPY; VEGETATION Multiple languages Remote Sensing Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/39554