Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species

The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spect...
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Autor*in:	Laia Jarque-Bascuñana [verfasserIn] Jordi Bartolomé [verfasserIn] Emmanuel Serrano [verfasserIn] Johan Espunyes [verfasserIn] Mathieu Garel [verfasserIn] Juan Antonio Calleja Alarcón [verfasserIn] Jorge Ramón López-Olvera [verfasserIn] Elena Albanell [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	diet composition fecal NIRS foraging ecology global change

Übergeordnetes Werk:	In: Animals - MDPI AG, 2011, 11(2021), 5, p 1449
Übergeordnetes Werk:	volume:11 ; year:2021 ; number:5, p 1449

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/ani11051449

Katalog-ID:	DOAJ059261560

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allfields_unstemmed	10.3390/ani11051449 doi (DE-627)DOAJ059261560 (DE-599)DOAJ5ecbbb3533ee4684b010903a1c7ff0f0 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Laia Jarque-Bascuñana verfasserin aut Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts. diet composition fecal NIRS foraging ecology global change <i<Rupicapra pyrenaica pyrenaica</i< Veterinary medicine Zoology Jordi Bartolomé verfasserin aut Emmanuel Serrano verfasserin aut Johan Espunyes verfasserin aut Mathieu Garel verfasserin aut Juan Antonio Calleja Alarcón verfasserin aut Jorge Ramón López-Olvera verfasserin aut Elena Albanell verfasserin aut In Animals MDPI AG, 2011 11(2021), 5, p 1449 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:11 year:2021 number:5, p 1449 https://doi.org/10.3390/ani11051449 kostenfrei https://doaj.org/article/5ecbbb3533ee4684b010903a1c7ff0f0 kostenfrei https://www.mdpi.com/2076-2615/11/5/1449 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 5, p 1449
allfieldsGer	10.3390/ani11051449 doi (DE-627)DOAJ059261560 (DE-599)DOAJ5ecbbb3533ee4684b010903a1c7ff0f0 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Laia Jarque-Bascuñana verfasserin aut Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts. diet composition fecal NIRS foraging ecology global change <i<Rupicapra pyrenaica pyrenaica</i< Veterinary medicine Zoology Jordi Bartolomé verfasserin aut Emmanuel Serrano verfasserin aut Johan Espunyes verfasserin aut Mathieu Garel verfasserin aut Juan Antonio Calleja Alarcón verfasserin aut Jorge Ramón López-Olvera verfasserin aut Elena Albanell verfasserin aut In Animals MDPI AG, 2011 11(2021), 5, p 1449 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:11 year:2021 number:5, p 1449 https://doi.org/10.3390/ani11051449 kostenfrei https://doaj.org/article/5ecbbb3533ee4684b010903a1c7ff0f0 kostenfrei https://www.mdpi.com/2076-2615/11/5/1449 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 5, p 1449
allfieldsSound	10.3390/ani11051449 doi (DE-627)DOAJ059261560 (DE-599)DOAJ5ecbbb3533ee4684b010903a1c7ff0f0 DE-627 ger DE-627 rakwb eng SF600-1100 QL1-991 Laia Jarque-Bascuñana verfasserin aut Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts. diet composition fecal NIRS foraging ecology global change <i<Rupicapra pyrenaica pyrenaica</i< Veterinary medicine Zoology Jordi Bartolomé verfasserin aut Emmanuel Serrano verfasserin aut Johan Espunyes verfasserin aut Mathieu Garel verfasserin aut Juan Antonio Calleja Alarcón verfasserin aut Jorge Ramón López-Olvera verfasserin aut Elena Albanell verfasserin aut In Animals MDPI AG, 2011 11(2021), 5, p 1449 (DE-627)657589306 (DE-600)2606558-7 20762615 nnns volume:11 year:2021 number:5, p 1449 https://doi.org/10.3390/ani11051449 kostenfrei https://doaj.org/article/5ecbbb3533ee4684b010903a1c7ff0f0 kostenfrei https://www.mdpi.com/2076-2615/11/5/1449 kostenfrei https://doaj.org/toc/2076-2615 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2021 5, p 1449
language	English
source	In Animals 11(2021), 5, p 1449 volume:11 year:2021 number:5, p 1449
sourceStr	In Animals 11(2021), 5, p 1449 volume:11 year:2021 number:5, p 1449
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	diet composition fecal NIRS foraging ecology global change <i<Rupicapra pyrenaica pyrenaica</i< Veterinary medicine Zoology
isfreeaccess_bool	true
container_title	Animals
authorswithroles_txt_mv	Laia Jarque-Bascuñana @@aut@@ Jordi Bartolomé @@aut@@ Emmanuel Serrano @@aut@@ Johan Espunyes @@aut@@ Mathieu Garel @@aut@@ Juan Antonio Calleja Alarcón @@aut@@ Jorge Ramón López-Olvera @@aut@@ Elena Albanell @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	657589306
id	DOAJ059261560
language_de	englisch
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callnumber-first	S - Agriculture
author	Laia Jarque-Bascuñana
spellingShingle	Laia Jarque-Bascuñana misc SF600-1100 misc QL1-991 misc diet composition misc fecal NIRS misc foraging ecology misc global change misc <i<Rupicapra pyrenaica pyrenaica</i< misc Veterinary medicine misc Zoology Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species
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topic_title	SF600-1100 QL1-991 Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species diet composition fecal NIRS foraging ecology global change <i<Rupicapra pyrenaica pyrenaica</i<
topic	misc SF600-1100 misc QL1-991 misc diet composition misc fecal NIRS misc foraging ecology misc global change misc <i<Rupicapra pyrenaica pyrenaica</i< misc Veterinary medicine misc Zoology
topic_unstemmed	misc SF600-1100 misc QL1-991 misc diet composition misc fecal NIRS misc foraging ecology misc global change misc <i<Rupicapra pyrenaica pyrenaica</i< misc Veterinary medicine misc Zoology
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title	Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species
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title_full	Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species
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author_browse	Laia Jarque-Bascuñana Jordi Bartolomé Emmanuel Serrano Johan Espunyes Mathieu Garel Juan Antonio Calleja Alarcón Jorge Ramón López-Olvera Elena Albanell
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title_sort	near infrared reflectance spectroscopy analysis to predict diet composition of a mountain ungulate species
callnumber	SF600-1100
title_auth	Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species
abstract	The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts.
abstractGer	The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts.
abstract_unstemmed	The diet composition of ungulates is important to understand not only their impact on vegetation, but also to understand the consequences of natural and human-driven environmental changes on the foraging behavior of these mammals. In this work, we evaluated the use of near infrared reflectance spectroscopy analysis (NIRS), a quick, economic and non-destructive method, to assess the diet composition of the Pyrenean chamois <i<Rupicapra pyrenaica pyrenaica</i<. Fecal samples (<i<n</i< = 192) were collected from two chamois populations in the French and Spanish Pyrenees. Diet composition was initially assessed by fecal cuticle microhistological analysis (CMA) and categorized into four functional groups, namely: woody, herbaceous, graminoid and Fabaceae plants. Regressions of modified partial least squares and several combinations of scattering correction and derivative treatments were tested. The results showed that models based on the second derivative processing obtained the higher determination coefficient for woody, herbaceous and graminoid plants (R<sup<2</sup<<sub<CAL</sub<, coefficient of determination in calibration, ranged from 0.86 to 0.91). The Fabaceae group, however, was predicted with lower accuracy (R<sup<2</sup<<sub<CAL</sub< = 0.71). Even though an agreement between NIRS and CMA methods was confirmed by a Bland–Altman analysis, confidence limits of agreement differed by up to 25%. Our results support the viability of fecal NIRS analysis to study spatial and temporal variations of the Pyrenean chamois’ diets in summer and winter when differences in the consumption of woody and annual plants are the greatest. This new use for the NIRS technique would be useful to assess the consequences of global change on the feeding behavior of this mountain ungulate and also in other ungulate counterparts.
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title_short	Near Infrared Reflectance Spectroscopy Analysis to Predict Diet Composition of a Mountain Ungulate Species
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