scholarly journals Habitat use of bats in relation to wind turbines revealed by GPS tracking

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Manuel Roeleke ◽  
Torsten Blohm ◽  
Stephanie Kramer-Schadt ◽  
Yossi Yovel ◽  
Christian C. Voigt
2021 ◽  
Author(s):  
yang teng ◽  
Shupei TANG ◽  
lai heda meng ◽  
Liji Wu ◽  
Zhiqing HAN ◽  
...  

Abstract Home range size estimation is a crucial basis for developing effective conservation strategies and provides important insights into animal behavior and ecology. This study aimed at analyzing the home range variations, the influence of altitude in habitat selection, and comparing three methods in home range estimation of Chinese gorals (Naemorhedus griseus) living at a cliff landscape. The results indicated that there were significant differences between the annual home range sizes of individual animals but there was no difference in their seasonal home range sizes based on GPS tracking data of five female Chinese gorals from February 2015 to September 2018. The monthly home ranges decreased dramatically in May, June and July due to birth-giving. Notable seasonal variations were found in the micro-habitats of the Chinese gorals, as reflected by the altitude they inhabit, with higher altitude habitats used in spring and lower altitude habitats used in winter. Additionally, the altitude of monthly habitats was lowest in January, which may indicate an adaptation to low air temperature. We also found differences between estimation methods, namely minimum convex polygon (MCP), kernel density estimation (KDE) and α-local convex hull (α-LoCoH), with seasonal home range sizes derived from α-LoCoH being substantially smaller than those derived from MCP and KDE. In conclusion, our findings filled the gaps in home range study for this endangered species and contributed to effective conservation strategies. Considerations shall have to be given to the variations in home range estimation caused by different methods when dealing with rugged habitats, so as to make sure that any interpretation concerning the habitat use of the targeted species made on basis of such results would be meaningful and valid.


2021 ◽  
Author(s):  
Yang Teng ◽  
Shupei TANG ◽  
Dalai Menghe ◽  
Liji Wu ◽  
Zhiqing HAN ◽  
...  

Abstract Home range size estimation is a crucial basis for developing effective conservation strategies and provides important insights into animal behavior and ecology. This study aimed at analyzing the home range variations, the influence of altitude in habitat selection, and comparing three methods in home range estimation of Chinese gorals (Naemorhedus griseus) living at a cliff landscape. The results indicated that there were significant differences between the annual home range sizes of individual animals but there was no difference in their seasonal home range sizes based on GPS tracking data of five female Chinese gorals from February 2015 to September 2018. The monthly home ranges decreased dramatically in May, June and July due to birth-giving. Notable seasonal variations were found in the micro-habitats of the Chinese gorals, as reflected by the altitude they inhabit, with higher altitude habitats used in spring and lower altitude habitats used in winter. Additionally, the altitude of monthly habitats was lowest in January, which may indicate an adaptation to low air temperature. We also found differences between estimation methods, namely minimum convex polygon (MCP), kernel density estimation (KDE) and α-local convex hull (α-LoCoH), with seasonal home range sizes derived from α-LoCoH being substantially smaller than those derived from MCP and KDE. In conclusion, our findings filled the gaps in home range study for this endangered species and contributed to effective conservation strategies. Considerations shall have to be given to the variations in home range estimation caused by different methods when dealing with rugged habitats, so as to make sure that any interpretation concerning the habitat use of the targeted species made on basis of such results would be meaningful and valid.


Wader Study ◽  
2018 ◽  
Vol 124 (3) ◽  
pp. 206-214 ◽  
Author(s):  
Steven R. Ewing ◽  
Emily S. Scragg ◽  
Nigel Butcher ◽  
David J.T Douglas

2016 ◽  
Vol 26 (3) ◽  
pp. 771-783 ◽  
Author(s):  
Christian C. Voigt ◽  
Oliver Lindecke ◽  
Sophia Schönborn ◽  
Stephanie Kramer-Schadt ◽  
David Lehmann
Keyword(s):  

Oecologia ◽  
2021 ◽  
Author(s):  
Flavio Monti ◽  
Aloїs Robert ◽  
Jean-Marie Dominici ◽  
Andrea Sforzi ◽  
Rafel Triay Bagur ◽  
...  

AbstractWe used both satellite tracking and carbon, nitrogen and sulphur stable isotopic analysis (SIA) to infer wintering ecology and habitat use of the Corsican osprey Pandion haliaetus population. A control sample of feathers from 75 individuals was collected within the osprey’s northern hemisphere breeding range, to assess the SIA variability across habitat types. An experimental set of SIA on feathers of 18 Corsican adults was examined to infer wintering ground locations and habitat types used during the non-breeding period. We calibrated the SIA using GPS/GSM tracks of 12 Mediterranean adults’ movements as wintering site references. We found 50% of individuals were resident and the other half migrated. Ospreys spent the winter at temperate latitudes and showed a high plasticity in habitat selection spread over the Mediterranean basin (marine bays, coastal lagoons/marshland, inland freshwater sites). Complementary to GPS tracking, SIA is, at a broad geographical scale, a reliable method to determine whether ospreys overwinter in a habitat different from that of their breeding area. This study proved that the integration of SIA and GPS/GSM tracking techniques was effective at overcoming the intrinsic limits of each method and achieving greater information for basic ecological studies of migratory birds in aquatic environments.


2015 ◽  
Author(s):  
Nicolás Seoane

While the presence of cattle in forests is quite common, how they use this habitat is often overlooked. When this is examined, most studies focus on measurements of the vegetation variables influencing habitat selection. This current report provides a suitable model to study habitat use by livestock in forested areas by means of GPS tracking on selected individuals. The model was applied to data from semi-feral cattle in order to obtain the first description of their habitat use in southern forests. Furthermore, the model accounted for individual variability, and hinted at population patterns of habitat use. The positions of 15 individual cows with GPS collars were recorded covering twelve months in a Nothofagus (southern beech) forest in Patagonia (Argentina). By projecting these GPS location data into a geographical information system (GIS), a resource selection probability function (RSPF) that considers topographic and vegetation variables was built. The habitat selection by semi-feral cattle in southern beech forests showed a large interindividual variability, but also some similar characteristics which enable a proper description of habitat-use patterns. It was found that habitat selection by cattle was mainly affected by topographic variables such as altitude and the combination of slope and aspect. In both cases the variables were selected below average relative to availability, suggesting a preferred habitat range. Livestock also tended to avoid areas of closed shrublands and showed a slight preference for meadows. Cattle give significant importance to topographic variables to define their habitat selection in this type of mountainous forests. This might be because of an ecological adaptation to the major features of these types of forests due to ferality. Furthermore, these results are the basis for management applications such as predictive maps of use by semi-feral livestock in forested landscapes.


2015 ◽  
Author(s):  
Nicolás Seoane

While the presence of cattle in forests is quite common, how they use this habitat is often overlooked. When this is examined, most studies focus on measurements of the vegetation variables influencing habitat selection. This current report provides a suitable model to study habitat use by livestock in forested areas by means of GPS tracking on selected individuals. The model was applied to data from semi-feral cattle in order to obtain the first description of their habitat use in southern forests. Furthermore, the model accounted for individual variability, and hinted at population patterns of habitat use. The positions of 15 individual cows with GPS collars were recorded covering twelve months in a Nothofagus (southern beech) forest in Patagonia (Argentina). By projecting these GPS location data into a geographical information system (GIS), a resource selection probability function (RSPF) that considers topographic and vegetation variables was built. The habitat selection by semi-feral cattle in southern beech forests showed a large interindividual variability, but also some similar characteristics which enable a proper description of habitat-use patterns. It was found that habitat selection by cattle was mainly affected by topographic variables such as altitude and the combination of slope and aspect. In both cases the variables were selected below average relative to availability, suggesting a preferred habitat range. Livestock also tended to avoid areas of closed shrublands and showed a slight preference for meadows. Cattle give significant importance to topographic variables to define their habitat selection in this type of mountainous forests. This might be because of an ecological adaptation to the major features of these types of forests due to ferality. Furthermore, these results are the basis for management applications such as predictive maps of use by semi-feral livestock in forested landscapes.


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