scholarly journals Shrub and vegetation cover predict resource selection use by an endangered species of desert lizard

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Christopher J. Lortie ◽  
Jenna Braun ◽  
Michael Westphal ◽  
Taylor Noble ◽  
Mario Zuliani ◽  
...  
Keyword(s):  
Endangered Species ◽  
Vegetation Cover ◽  
Resource Selection ◽  
Desert Lizard

scholarly journals Ground beetles (Carabidae) on quarry terraces in the vicinity of Brno (Czech Republic)

2012 ◽  
Vol 60 (3) ◽  
pp. 147-154 ◽  
Author(s):  
Lucie Novotná ◽  
Pavla Šťastná
Keyword(s):  
Czech Republic ◽  
Endangered Species ◽  
Vegetation Cover ◽  
Agricultural Land ◽  
Ground Beetles ◽  
Red List ◽  
Monthly Interval ◽  
Minimal Amount ◽  
Pitfall Traps ◽  
Near Threatened

The occurrence of ground beetles (Carabidae, Coleoptera) was monitored in the exhausted limestone quarry of massif Hády near Brno using formaldehyde pitfall traps with a monthly interval of collection. Research was conducted from April to October in 2009 and 2010. The obtained material was investigated on some synecological characteristics and species affiliation to bioindication groups. In total for both years, 462 specimens of 43 species were captured. Most species were found in habitats with vegetation cover in the immediate vicinity of cultivated agricultural land – 441 specimens of 39 species. In the quarry itself only a minimal amount of ground beetles was found – 21 specimens of 11 species. Decrease in the abundance of ground beetles towards the center of the quarry was demonstrated. Next, significant species of Brachinus crepitans, Brachinus explodens and Cicindela sylvicola (endangered species pursuant to Decree 395/1992 Coll.) and species listed in the Red List were reported – near threatened Ophonus sabulicola and vulnerable Cylindera germanica (also endangered species pursuant to Decree 395/1992 Coll).

scholarly journals Habitat selection by wolves and mountain lions during summer in western Montana

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254827
Author(s):  
Collin J. Peterson ◽  
Michael S. Mitchell ◽  
Nicholas J. DeCesare ◽  
Chad J. Bishop ◽  
Sarah S. Sells
Keyword(s):  
Habitat Selection ◽  
Vegetation Cover ◽  
Resource Selection ◽  
Puma Concolor ◽  
The United States ◽  
Western Montana ◽  
Predator Species ◽  
Mountain Lions ◽  
Out Of Sample ◽  
Hunting Mode

In the Northern Rockies of the United States, predators like wolves (Canis lupus) and mountain lions (Puma concolor) have been implicated in fluctuations or declines in populations of game species like elk (Cervus canadensis) and mule deer (Odocoileus hemionus). In particular, local distributions of these predators may affect ungulate behavior, use of space, and dynamics. Our goal was to develop generalizable predictions of habitat selection by wolves and mountain lions across western Montana. We hypothesized both predator species would select habitat that maximized their chances of encountering and killing ungulates and that minimized their chances of encountering humans. We assessed habitat selection by these predators during summer using within-home range (3rd order) resource selection functions (RSFs) in multiple study areas throughout western Montana, and tested how generalizable RSF predictions were by applying them to out-of-sample telemetry data from separate study areas. Selection for vegetation cover-types varied substantially among wolves in different study areas. Nonetheless, our predictions of 3rd order selection by wolves were highly generalizable across different study areas. Wolves consistently selected simple topography where ungulate prey may be more susceptible to their cursorial hunting mode. Topographic features may serve as better proxies of predation risk by wolves than vegetation cover-types. Predictions of mountain lion distribution were less generalizable. Use of rugged terrain by mountain lions varied across ecosystem-types, likely because mountain lions targeted the habitats of different prey species in each study area. Our findings suggest that features that facilitate the hunting mode of a predator (i.e. simple topography for cursorial predators and hiding cover for stalking predators) may be more generalizable predictors of their habitat selection than features associated with local prey densities.

Ecological correlates of the distribution of territorial Svalbard rock ptarmigan (Lagopus muta hyperborea)

2007 ◽  
Vol 85 (1) ◽  
pp. 122-132 ◽  
Author(s):  
Å.Ø. Pedersen ◽  
J.U. Jepsen ◽  
N.G. Yoccoz ◽  
E. Fuglei
Keyword(s):  
Vegetation Cover ◽  
Resource Selection ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Habitat Type ◽  
Model Performance ◽  
Rock Ptarmigan ◽  
Habitat Models ◽  
Logistic Regression Models ◽  
Lagopus Muta

Predictive habitat models have become important research and management tools for monitoring the spatial distribution and abundance of wildlife species. In this paper we develop and evaluate statistical habitat models for presence of territorial Svalbard rock ptarmigan ( Lagopus muta hyperborea Sundevall, 1845) cocks in spring and apply the best model to assess ptarmigan habitat selection in a larger extrapolated region. Terrain variables were extracted at detailed (10 m digital elevation model (DEM)) and coarse (50 m DEM) scales to compare model performance. Sets of candidate environmental variables related to terrain and vegetation cover were developed and explanatory variables were calculated at increasing distances from the count site to well above the typical size of ptarmigan territory. We used ecological niche factor analysis to describe the difference between used and available sites. Survey sites used by cocks were characterized by a restricted range of altitude, a high degree of terrain heterogeneity, and dense vegetation cover compared with overall site availability in the survey region. We then used model selection criteria (AICc) to find the most parsimonious logistic regression models estimating habitat resource selection functions for cocks. Detailed terrain variables were better predictors than coarse terrain variables. The normalized difference vegetation index (NDVI) was a good predictor of presence of territorial cocks, but not as good as the most preferred habitat type. Owing to limited availability of high-quality vegetation maps, the best model containing NDVI and 10 m DEM variables was used for extrapolation of male ptarmigan habitat. Our results show that it is possible to obtain a model with a high ability to rank habitats using a low number of map-derived variables. Such rankings can then be used to improve field sampling designs and are therefore a useful tool for management and conservation of ptarmigan and wildlife in Arctic and alpine areas.

scholarly journals Listado florístico de la Sierra de Santa Rosa, Guanajuato, México

2017 ◽  
pp. 31
Author(s):  
Juan Martínez-Cruz ◽  
Oswaldo Téllez-Valdés
Keyword(s):  
Endangered Species ◽  
Vegetation Cover ◽  
Vascular Plants ◽  
The State ◽  
Mountain Range ◽  
Floristic Richness ◽  
Number Of Species ◽  
Floristic Study ◽  
Infraspecific Taxa

The Santa Rosa range presently contains one of the few moderately preserved vegetation remnants in the state of Guanajuato. Unfortunately, this state has been characterized by the degradation of its vegetation cover since colonial times. In this floristic study we recorded 21 infraspecific taxa, 496 species, 273 genera and 93 families of vascular plants. Among these, Asteraceae comprises the largest number of species, followed by Poaceae and Lamiaceae, respectively. Three species cited in the Mexican Norm of Endangered Species (Selaginella porphyrospora, Zigadenus virescens and Gentiana spathacea) were recorded. Despite the reduced area of this mountain range, which represents around 0.45% of the area covered by the Flora of the Bajío and of Adjacent Regions project (about 50,000 km2), its floristic richness represents 8.7% of the total flora expected for that region.

Endangered Species

1994 ◽  
Vol 39 (1) ◽  
pp. 71-72
Author(s):  
Donald M. Kaplan
Keyword(s):  
Endangered Species
Sign in / Sign up

Export Citation Format

Share Document