scholarly journals Changes in landscape-scale habitat selection of capercaillie (Tetrao urogallus) in managed north-boreal forest

Silva Fennica ◽  
2009 ◽  
Vol 43 (4) ◽  
Author(s):  
Janne Miettinen ◽  
Pekka Helle ◽  
Ari Nikula ◽  
Pekka Niemelä
Keyword(s):  
Habitat Selection ◽  
Boreal Forest ◽  
Landscape Scale ◽  
Tetrao Urogallus ◽  
Selection Of

Fine-scale habitat selection of American marten at the southern fringe of the boreal forest

Ecoscience ◽  
2010 ◽  
Vol 17 (2) ◽  
pp. 175-185 ◽  
Author(s):  
Guillaume Godbout ◽  
Jean-Pierre Ouellet
Keyword(s):  
Habitat Selection ◽  
Boreal Forest ◽  
Fine Scale ◽  
American Marten ◽  
Southern Fringe ◽  
Selection Of

scholarly journals Habitat selection of Capercaillie (Tetrao urogallus) displaying males: Case from Rila Mountain, Bulgaria

2019 ◽  
Vol 2 ◽  
Author(s):  
Dimitar Plachiyski ◽  
Georgi Popgeorgiev ◽  
Stefan Avramov ◽  
Yurii Kornilev
Keyword(s):  
Habitat Selection ◽  
Home Range ◽  
Scots Pine ◽  
Vegetation Cover ◽  
Habitat Management ◽  
Categorical Variables ◽  
Tetrao Urogallus ◽  
Adult Males ◽  
Convex Polygons ◽  
Selection Of

Current habitat management of the peripheral, regionally unique, and isolated Balkan capercaillie Tetrao urogallus rudolfi Dombrowski, 1912 meta-population in Bulgaria is based on obsolete knowledge of the spatial requirements of the species. Thus, we studied the habitat availability and the patterns of use by Capercaillie adult males, at the home range scale to inform and contribute to the conservation-oriented management of the threatened subspecies and its habitats. The field study was conducted during 2014–2015 in the northeastern part of Rila Mtn., Southwestern Bulgaria. Using GPS tags (“Bird 2A”, e-obs Digital Telemetry, Grünwald, Germany), a total of 38,640 GPS fixes from 3 displaying males, associated with one lek were gained. On this basis, we calculated annual and seasonal Minimum Convex Polygons (MCP), traditionally used as a measure of the maximum area of activity. Capercaillie habitat preference was computed using Manly’s habitat selection ratios (w), design III, combined with 90% Bonferroni simultaneous confidence intervals. To calculate habitat selection, we determined surface (Steepness and Exposure), forest stand succession and vegetation cover categorical variables. The habitat and surface layers was rasterized into 8 m square pixels. At the home range (MCP) scale, tagged roosters used vegetation cover non-randomly (annual: Khi2L=5738.89, df=14, p<0.001; winter: Khi2L=3773.28, df=13, p<0.001; summer: Khi2L=3646.32, df=14, p<0.001), and preferred forests dominated by Scots pine and Macedonian pine, such as the annual selection of Scots pine and summer selection of Macedonian pine are significantly different. In terms of forest stage succession, roosters used forest stages non-randomly (annual: Khi2L=3492.57, df=8, p<0.001; winter: Khi2L=2075.18, df=8, p<0.001; summer: Khi2L=1670.1, df=6, p<0.001), and demonstrated clear avoidance of forests stands in age classes: “0 to 40” and “41 to 80” years within the summer and annual ranges. The roosters demonstrated significant preference for southeastern exposure during the winter and annually, and significant overall avoidance of northern exposure, as well as avoidance of north-eastern aspect during the winter and south aspect during the summer (annual: Khi2L=4671.87, df=18, p<0.001; winter: Khi2L=3909.04, df=16, p<0.001; summer: hi2L=3095.84, df=18, p<0.001). The slope class “63.1 to 73o” was not used. In the summer, Capercaillie males significantly preferred slopes within the class “27.1 to 36o” and avoided the classes “0 to 9o”, “9.1 to 18o” and “54.1 to 63o”. The birds also demonstrated significant avoidance of flat terrains within the “0 to 9o” class annually (annual: Khi2L=608.24, df=17, p<0.001; winter: Khi2L=1148.37, df=16, p<0.001; summer: Khi2L=906.54, df=17, p<0.001).

Landscape Scale Habitat Selection of Harlequin Coralsnakes (Micrurus fulvius) in Three Large, Protected Areas in the Southeastern United States

Copeia ◽  
2015 ◽  
Vol 103 (4) ◽  
pp. 1037-1042 ◽  
Author(s):  
David A. Steen ◽  
Michael Barbour ◽  
Christopher J. W. McClure ◽  
Kenneth P. Wray ◽  
John N. Macey ◽  
...  
Keyword(s):  
United States ◽  
Habitat Selection ◽  
Protected Areas ◽  
Southeastern United States ◽  
Landscape Scale ◽  
Large Protected Areas ◽  
Selection Of

Breeding habitat selection by the endangered Regent Honeyeater Anthochaera phrygia (Meliphagidae) at the local and landscape scale

2010 ◽  
Vol 16 (1) ◽  
pp. 27 ◽  
Author(s):  
D. L. Oliver ◽  
G. W. Lollback
Keyword(s):  
Habitat Selection ◽  
Bird Species ◽  
Landscape Scale ◽  
Breeding Habitat ◽  
Grazing Land ◽  
Landscape Models ◽  
Modelling Techniques ◽  
A Site ◽  
Patch Edge ◽  
Selection Of

This is the first Australian study to apply logistical modelling techniques to describe the breeding habitat selection of a widely dispersed, highly mobile, threatened bird species. Landscape and microhabitat structural attributes of breeding habitat occupied by the endangered Regent Honeyeater Anthochaera phrygia in the Bundarra-Barraba region of northern NSW were compared to those of unoccupied habitat using logistic regression modelling. Models containing landscape scale variables were best at explaining Regent Honeyeater presence. Regent Honeyeater occupation was negatively associated with the amount of woodland cover surrounding a site (1 km and 2 km radius) and distance to patch edge, and was positively associated with site connectivity and linear remnants. Linear, well-connected woodland patches surrounded by cleared grazing land are typical of the remnant native vegetation occupied by Regent Honeyeaters in the Bundarra-Barraba region. The landscape models developed here can be used to identify potential new sites for protection and rehabilitation, and to assess the suitability of unsurveyed or unoccupied sites for the release of captively bred Regent Honeyeaters, which is identified as one of the priority recovery action for the species.

Home Range and Habitat Selection of Long-Eared Owls (Asio Otus) in Mediterranean Agricultural Landscapes (Crete, Greece)

2018 ◽  
Vol 11 (3) ◽  
pp. 204-218 ◽  
Author(s):  
D. Emin ◽  
A.G. Toxopeus ◽  
Ir.T.A. Groen ◽  
I. Kontogeorgos ◽  
E. Georgopoulou ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Home Range ◽  
Model Performance ◽  
Home Range Size ◽  
Landscape Scale ◽  
Agricultural Landscapes ◽  
Range Size ◽  
Nominal Scale ◽  
Wide Range ◽  
Selection Of

The Long-eared Owl (Asio otus) in Crete (Greece) is a common agricultural species affected by the recent changes in agro-forestry systems. Concrete studies of habitat selection are needed in order to improve our knowledge of its foraging behaviour in managed rural landscapes. In the present study, we analysed the home range size and habitat selection of 11 Long-eared Owls inside olive groves in the plain of central Crete using radio tracking data and remote sensing images. Six nominal scale and 11 landscape scale predictors were used for habitat selection analysis, using a maximum entropy approach. Home range size ranged between 337 and 969 ha while a 52% of home range overlap was observed suggesting that Long-eared Owls do not defend hunting territories. At the nominal scale, distance to potential roosts (trees) was the most important contributor to model performance, followed by vegetation heterogeneity. Furthermore, local heterogeneity of greenness was a better predictor than simply greenness at the presence location. At the landscape scale the amount of habitat openness significantly improved model performance. Incorporating landscape heterogeneity improved habitat selection prediction compared to using only discrete land cover classification. Results of our study pinpoint that although Long-eared Owls exhibit a wide range of habitat tolerance, they prefer mixed habitat conditions avoiding particularly open areas or dense olive plantations. The research has implications in the face of new reforms of European Common Agricultural policy which emphasised the importance of landscape structure in preserving biodiversity in agricultural areas of Europe.

Habitat use and selection by takin in the Qinling Mountains, China

2016 ◽  
Vol 43 (8) ◽  
pp. 671 ◽  
Author(s):  
Wen-Bo Yan ◽  
Zhi-Gao Zeng ◽  
Hui-Sheng Gong ◽  
Xiang-Bo He ◽  
Xin-Yu Liu ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Home Range ◽  
Habitat Use ◽  
Landscape Scale ◽  
Conservation Strategies ◽  
Large Species ◽  
Qinling Mountains ◽  
Habitat Types ◽  
Forest Habitats ◽  
Selection Of

Context Understanding habitat use and selection by threatened ungulates is a crucial prerequisite to prioritise management areas and for developing effective conservation strategies. Aims The aim of our research was to determine the habitat use and selection of takins (Budorcas taxicolor) in the middle range of the Qinling Mountains, China. Methods The study was conducted from August 2013 to August 2015. Global positioning system (GPS) radio-tracking was used to monitor 10 collared takins to gain their location information. The Manly–Chesson selectivity index and Bonferroni-adjusted 95% confidence intervals were applied to determine which habitats were selected. Key results Habitat use and selection by takins showed obvious individual differences. At the landscape scale, all of the four most common habitat types were preferred by takins. However, all takins avoided artificially planted larch forest, and farmland and village. Available habitats within the home ranges also mostly included the four common habitat types. At the home-range scale, all individuals had significant habitat selectivity during the entire tracking period and each season. The habitat use and selection within the home range varied obviously with season and showed sexual differences to a certain extent. Conclusions The habitat selection by takins is scale-dependent. At the landscape scale, takins are most likely to occur at sites covered by forest. At both landscape and home-range scales, our results indicated that takins need more diverse forest habitats, but none of the four most common forest habitats is essential for survival of this species. Implications The present work has provided more insight into the habitat use and habitat selection of takins in mountainous forest landscapes. Many measures such as maintaining a diversity of forest habitats, avoiding habitat alteration by invasion of exotic plants, and increasing the area of available habitats by relocating the villages from within to outside of the reserve are recommended to conserve this large species.

Seasonal habitat selection of an expanding sika deer Cervus nippon population in eastern Hokkaido, Japan

2003 ◽  
Vol 9 (1) ◽  
pp. 141-153 ◽  
Author(s):  
Mayumi Sakuragi ◽  
Hiromasa Igota ◽  
Hiroyuki Uno ◽  
Koichi Kaji ◽  
Masami Kaneko ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Sika Deer ◽  
Cervus Nippon ◽  
Selection Of

Factors of Habitat Selection of Acheulean Sites at Ramat Yiron, Israel

Paléorient ◽  
1981 ◽  
Vol 7 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Amiel Brosh ◽  
M. Ohel
Keyword(s):  
Habitat Selection ◽  
Selection Of

scholarly journals The Winter Habitat Selection of Red Deer (Cervus elaphus) Based on a Multi-Scale Model

Animals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2454
Author(s):  
Yue Sun ◽  
Yanze Yu ◽  
Jinhao Guo ◽  
Minghai Zhang
Keyword(s):  
Habitat Selection ◽  
Environmental Factors ◽  
Cervus Elaphus ◽  
Red Deer ◽  
Scale Model ◽  
Winter Habitat ◽  
Multi Scale ◽  
Optimal Scale ◽  
Scale Models ◽  
Selection Of

Single-scale frameworks are often used to analyze the habitat selections of species. Research on habitat selection can be significantly improved using multi-scale models that enable greater in-depth analyses of the scale dependence between species and specific environmental factors. In this study, the winter habitat selection of red deer in the Gogostaihanwula Nature Reserve, Inner Mongolia, was studied using a multi-scale model. Each selected covariate was included in multi-scale models at their “characteristic scale”, and we used an all subsets approach and model selection framework to assess habitat selection. The results showed that: (1) Univariate logistic regression analysis showed that the response scale of red deer to environmental factors was different among different covariate. The optimal scale of the single covariate was 800–3200 m, slope (SLP), altitude (ELE), and ratio of deciduous broad-leaved forests were 800 m in large scale, except that the farmland ratio was 200 m in fine scale. The optimal scale of road density and grassland ratio is both 1600 m, and the optimal scale of net forest production capacity is 3200 m; (2) distance to forest edges, distance to cement roads, distance to villages, altitude, distance to all road, and slope of the region were the most important factors affecting winter habitat selection. The outcomes of this study indicate that future studies on the effectiveness of habitat selections will benefit from multi-scale models. In addition to increasing interpretive and predictive capabilities, multi-scale habitat selection models enhance our understanding of how species respond to their environments and contribute to the formulation of effective conservation and management strategies for ungulata.

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