scholarly journals Correction to: Multi-level, multi-scale habitat selection by a wide-ranging, federally threatened snake

2018 ◽  
Vol 33 (9) ◽  
pp. 1645-1646
Author(s):  
Javan M. Bauder ◽  
David R. Breininger ◽  
M. Rebecca Bolt ◽  
Michael L. Legare ◽  
Christopher L. Jenkins ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Multi Scale ◽  
Multi Level ◽  
Federally Threatened

Multi-level, multi-scale habitat selection by a wide-ranging, federally threatened snake

2018 ◽  
Vol 33 (5) ◽  
pp. 743-763 ◽  
Author(s):  
Javan M. Bauder ◽  
David R. Breininger ◽  
M. Rebecca Bolt ◽  
Michael L. Legare ◽  
Christopher L. Jenkins ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Multi Scale ◽  
Multi Level ◽  
Federally Threatened

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.

Integrating landscape resistance and multi-scale predictor of habitat selection for amphibian distribution modelling at large scale

2021 ◽  
Author(s):  
Florence Matutini ◽  
Jacques Baudry ◽  
Marie-Josée Fortin ◽  
Guillaume Pain ◽  
Joséphine Pithon
Keyword(s):  
Habitat Selection ◽  
Large Scale ◽  
Landscape Resistance ◽  
Distribution Modelling ◽  
Multi Scale ◽  
Selection For

scholarly journals Meta-replication reveals nonstationarity in multi-scale habitat selection of Mexican Spotted Owl

The Condor ◽  
2017 ◽  
Vol 119 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Ho Yi Wan ◽  
Kevin McGarigal ◽  
Joseph L. Ganey ◽  
Valentin Lauret ◽  
Brad C. Timm ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Spotted Owl ◽  
Multi Scale ◽  
Selection Of

Multi-scale habitat selection affects offspring survival in a precocial species

Oecologia ◽  
2013 ◽  
Vol 173 (4) ◽  
pp. 1249-1259 ◽  
Author(s):  
P. M. Bloom ◽  
R. G. Clark ◽  
D. W. Howerter ◽  
L. M. Armstrong
Keyword(s):  
Habitat Selection ◽  
Offspring Survival ◽  
Multi Scale

Surgical instrument segmentation based on multi-scale and multi-level feature network

2021 ◽  
Author(s):  
Yiming Wang ◽  
Zhongxi Qiu ◽  
Yan Hu ◽  
Hao Chen ◽  
Fangfu Ye ◽  
...  
Keyword(s):  
Surgical Instrument ◽  
Multi Scale ◽  
Multi Level

Multi-level and multi-scale deep saliency network for salient object detection

2019 ◽  
Vol 59 ◽  
pp. 415-424 ◽  
Author(s):  
Qing Zhang ◽  
Jiajun Lin ◽  
JingJing Zhuge ◽  
Wenhao Yuan
Keyword(s):  
Object Detection ◽  
Salient Object Detection ◽  
Salient Object ◽  
Multi Scale ◽  
Multi Level
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