000112096 001__ 112096
000112096 005__ 20220425105243.0
000112096 0247_ $$2doi$$a10.31893/jabb.22014
000112096 0248_ $$2sideral$$a128211
000112096 037__ $$aART-2022-128211
000112096 041__ $$aeng
000112096 100__ $$aPlaza, J.
000112096 245__ $$aGPS, LiDAR and VNIR data to monitor the spatial behavior of grazing sheep
000112096 260__ $$c2022
000112096 5060_ $$aAccess copy available to the general public$$fUnrestricted
000112096 5203_ $$aTraditional knowledge about the behavior of grazing livestock is about to disappear. Shepherds well know that sheep behavior follows non-random patterns. As a novel alternative to seeking behavioral patterns, this study quantified the grazing activities of two sheep flocks of Churra breed (both in the same area but separated by 10 years) based on Global Position System (GPS) monitoring and remote monitoring sensing techniques. In the first monitoring period (2009-10), geolocations were recorded every 5 min (4, 240 records), while in the second one (2018-20), records were taken every 30 min (7, 636 records). The data were clustered based on the day/night and the activity (resting, moving, or grazing). An airborne LiDAR dataset was used to study the slope, aspect, and vegetation height. Four visible-infrared orthophotographs were mosaicked and classified to obtain the land use/land cover (LU/LC) map. Then, GPS locations were overlain on the terrain features, and a Chi-square test evaluated the relationships between locations and terrain features. Three spatial statistics (directional distribution, Kernel density, and Hot Spot analysis) were also calculated. Results in both monitoring periods suggested that the spatial distribution of free-grazing ewes was non-random. The flocks showed strong preferences for grazing areas with gentle north-facing slopes, where the herbaceous layer formed by pasture predominates. The geostatistical analyses of the sheep locations corroborated those preferences. Geotechnologies have emerged as a potent tool to demonstrate the influence of environmental and terrain attributes on the non-random spatial behavior of grazing sheep. © 2022 Malque Publishing. All rights reserved.
000112096 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000112096 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000112096 700__ $$aSánchez, N.
000112096 700__ $$aPalacios, C.
000112096 700__ $$aSánchez-García, M.
000112096 700__ $$0(orcid)0000-0003-2827-3054$$aAbecia Martínez, J. A.$$uUniversidad de Zaragoza
000112096 700__ $$aCriado, M.
000112096 700__ $$aNieto, J.
000112096 7102_ $$12008$$2700$$aUniversidad de Zaragoza$$bDpto. Produc.Animal Cienc.Ali.$$cÁrea Producción Animal
000112096 773__ $$g10, 2 (2022), 2214 [11 pp]$$pJ. Anim. Behav. Biometeorol.$$tJournal of Animal Behaviour and Biometeorology$$x2318-1265
000112096 8564_ $$s2195204$$uhttps://zaguan.unizar.es/record/112096/files/texto_completo.pdf$$yVersión publicada
000112096 8564_ $$s2987088$$uhttps://zaguan.unizar.es/record/112096/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000112096 909CO $$ooai:zaguan.unizar.es:112096$$particulos$$pdriver
000112096 951__ $$a2022-04-25-09:49:41
000112096 980__ $$aARTICLE