Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)

Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alados, Concepción L. [verfasserIn] Sánchez-Granero, Miguel A. [verfasserIn] Errea, Paz [verfasserIn] Castillo-García, Miguel [verfasserIn] Pueyo, Yolanda [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices

Übergeordnetes Werk:	Enthalten in: Ecological indicators - Amsterdam [u.a.] : Elsevier Science, 2001, 139
Übergeordnetes Werk:	volume:139

DOI / URN:	10.1016/j.ecolind.2022.108940

Katalog-ID:	ELV007937911

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520			\|a Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock.
650		4	\|a Auto-correlated step length
650		4	\|a Foraging movements
650		4	\|a Fractal dimension
650		4	\|a Grazing monitoring
650		4	\|a Hurst exponent
650		4	\|a Lévy walks
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700	1		\|a Pueyo, Yolanda \|e verfasserin \|4 aut
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912			\|a GBV_ILN_105
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912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
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912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2004
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Indexfelder

author_variant	c l a cl cla m a s g mas masg p e pe m c g mcg y p yp
matchkey_str	article:18727034:2022----::wdmninlerhnptsxiifatlitiuinhthneihodviaiiyoml
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1016/j.ecolind.2022.108940 doi (DE-627)ELV007937911 (ELSEVIER)S1470-160X(22)00411-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Alados, Concepción L. verfasserin aut Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices Sánchez-Granero, Miguel A. verfasserin aut Errea, Paz verfasserin aut Castillo-García, Miguel verfasserin aut Pueyo, Yolanda verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 139 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 139
spelling	10.1016/j.ecolind.2022.108940 doi (DE-627)ELV007937911 (ELSEVIER)S1470-160X(22)00411-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Alados, Concepción L. verfasserin aut Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices Sánchez-Granero, Miguel A. verfasserin aut Errea, Paz verfasserin aut Castillo-García, Miguel verfasserin aut Pueyo, Yolanda verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 139 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 139
allfields_unstemmed	10.1016/j.ecolind.2022.108940 doi (DE-627)ELV007937911 (ELSEVIER)S1470-160X(22)00411-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Alados, Concepción L. verfasserin aut Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices Sánchez-Granero, Miguel A. verfasserin aut Errea, Paz verfasserin aut Castillo-García, Miguel verfasserin aut Pueyo, Yolanda verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 139 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 139
allfieldsGer	10.1016/j.ecolind.2022.108940 doi (DE-627)ELV007937911 (ELSEVIER)S1470-160X(22)00411-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Alados, Concepción L. verfasserin aut Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices Sánchez-Granero, Miguel A. verfasserin aut Errea, Paz verfasserin aut Castillo-García, Miguel verfasserin aut Pueyo, Yolanda verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 139 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 139
allfieldsSound	10.1016/j.ecolind.2022.108940 doi (DE-627)ELV007937911 (ELSEVIER)S1470-160X(22)00411-3 DE-627 ger DE-627 rda eng 570 630 VZ BIODIV DE-30 fid Alados, Concepción L. verfasserin aut Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) 2022 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock. Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices Sánchez-Granero, Miguel A. verfasserin aut Errea, Paz verfasserin aut Castillo-García, Miguel verfasserin aut Pueyo, Yolanda verfasserin aut Enthalten in Ecological indicators Amsterdam [u.a.] : Elsevier Science, 2001 139 Online-Ressource (DE-627)338074163 (DE-600)2063587-4 (DE-576)259272388 1872-7034 nnns volume:139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 139
language	English
source	Enthalten in Ecological indicators 139 volume:139
sourceStr	Enthalten in Ecological indicators 139 volume:139
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices
dewey-raw	570
isfreeaccess_bool	false
container_title	Ecological indicators
authorswithroles_txt_mv	Alados, Concepción L. @@aut@@ Sánchez-Granero, Miguel A. @@aut@@ Errea, Paz @@aut@@ Castillo-García, Miguel @@aut@@ Pueyo, Yolanda @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	338074163
dewey-sort	3570
id	ELV007937911
language_de	englisch
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spellingShingle	Alados, Concepción L. ddc 570 fid BIODIV misc Auto-correlated step length misc Foraging movements misc Fractal dimension misc Grazing monitoring misc Hurst exponent misc Lévy walks misc Livestock misc Pasture quality misc Vegetation indices Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)
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topic_title	570 630 VZ BIODIV DE-30 fid Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII) Auto-correlated step length Foraging movements Fractal dimension Grazing monitoring Hurst exponent Lévy walks Livestock Pasture quality Vegetation indices
topic	ddc 570 fid BIODIV misc Auto-correlated step length misc Foraging movements misc Fractal dimension misc Grazing monitoring misc Hurst exponent misc Lévy walks misc Livestock misc Pasture quality misc Vegetation indices
topic_unstemmed	ddc 570 fid BIODIV misc Auto-correlated step length misc Foraging movements misc Fractal dimension misc Grazing monitoring misc Hurst exponent misc Lévy walks misc Livestock misc Pasture quality misc Vegetation indices
topic_browse	ddc 570 fid BIODIV misc Auto-correlated step length misc Foraging movements misc Fractal dimension misc Grazing monitoring misc Hurst exponent misc Lévy walks misc Livestock misc Pasture quality misc Vegetation indices
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title	Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)
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title_full	Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)
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title_sort	two dimensional searching paths exhibit fractal distribution that change with food availability (normalized difference infrared index, ndii)
title_auth	Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)
abstract	Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock.
abstractGer	Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock.
abstract_unstemmed	Monitoring grazing activity and grasslands productivity has a great interest for the understanding of the feedback processes that regulate dynamic and conservation of grasslands. In this study we examined the spatiotemporal patterns of free foraging sheep and cattle (no shepherd) to understand how the two species adapt to the changes in food availability and quality in alpine and subalpine pastures during the summer. We used two vegetation indices derived from Sentinel 2 imagery (S2A) to characterize grassland: Normalized Difference Vegetation Index (NDVI) and Normalized Difference Infrared Index (NDII). We hypothesized that sheep and cattle would show different spatiotemporal displacement patterns, which would also change over time with phenology of pasture. We tested this using movement data of tagged sheep and cattle with satellite GPS collars. Animals are yearly free ranging in the studied alpine and subalpine pastures since June to end of September, when they are moved to the shelters. According with optimal searching strategy we predicted that displacement distribution would approach to a random searching path when the forage is more nutritive and abundant, i.e., when livestock have just arrived to their summer pastures. As the summer advances, animals would change their searching paths to an auto-correlated random walk, because pastures lose nutritional quality and consequently food availability is smaller, also due to animal consumption in the grasslands. Our results confirmed that hypothesis and showed that average NDII, a proxy of both pasture quality and time of green-up in the summer pastures, influenced the spatiotemporal patterns during grazing activity of free ranging livestock. We provided the first demonstration of two dimension searching path exhibiting a fractal distribution that changes with the availability of food and the intrinsic characteristic of the forager species, i.e., diet selection. The use of temporal sequences of foraging animals can be useful as indicator of food availability for free ranging animals that can be included in the data recording of GPS monitored livestock.
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title_short	Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)
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author2	Sánchez-Granero, Miguel A. Errea, Paz Castillo-García, Miguel Pueyo, Yolanda
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Two dimensional searching paths exhibit fractal distribution that change with food availability (Normalized Difference Infrared Index, NDII)

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