The spatial ecology and resource selection of juvenile Lemon sharks (Negaprion brevirostris) in their primary nursery areas

2021 ◽  
Author(s):  
Bryan Robert Franks
Keyword(s):  
Resource Selection ◽  
Spatial Ecology ◽  
Nursery Areas ◽  
Negaprion Brevirostris ◽  
Lemon Sharks ◽  
Selection Of

Spatial ecology of juvenile lemon sharks (Negaprion brevirostris) in tidal creeks and coastal waters of Eleuthera, The Bahamas

2010 ◽  
Vol 89 (1) ◽  
pp. 95-104 ◽  
Author(s):  
Karen J. Murchie ◽  
Emily Schwager ◽  
Steven J. Cooke ◽  
Andy J. Danylchuk ◽  
Sascha E. Danylchuk ◽  
...  
Keyword(s):  
Coastal Waters ◽  
Spatial Ecology ◽  
Tidal Creeks ◽  
The Bahamas ◽  
Negaprion Brevirostris ◽  
Lemon Sharks

Spatial Ecology and Resource Selection of Eastern Box Turtles

2020 ◽  
Vol 84 (8) ◽  
pp. 1590-1600
Author(s):  
Katie A. Harris ◽  
Joseph D. Clark ◽  
R. Dwayne Elmore ◽  
Craig A. Harper
Keyword(s):  
Resource Selection ◽  
Spatial Ecology ◽  
Box Turtles ◽  
Eastern Box Turtles ◽  
Selection Of

scholarly journals Microhabitat selection of the poorly known lizard Tropidurus lagunablanca (Squamata: Tropiduridae) in the Pantanal, Brazil

2021 ◽  
Vol 61 ◽  
pp. e20216118
Author(s):  
Ronildo Alves Benício ◽  
Daniel Cunha Passos ◽  
Abraham Mencía ◽  
Zaida Ortega
Keyword(s):  
Resource Selection ◽  
Spatial Ecology ◽  
Conditional Logistic Regression ◽  
Natural Populations ◽  
Selection Function ◽  
Microhabitat Use ◽  
Microhabitat Selection ◽  
Probability Of Presence ◽  
Substrate Temperatures ◽  
Selection Of

Understanding how different environmental factors influence species occurrence is a key issue to address the study of natural populations. However, there is a lack of knowledge on how local traits influence the microhabitat use of tropical arboreal lizards. Here, we investigated the microhabitat selection of the poorly known lizard Tropidurus lagunablanca (Squamata: Tropiduridae) and evaluated how environmental microhabitat features influence animal’s presence. We used a Resource Selection Function approach, in a case/control design where we analyzed the effect of substrate temperature and tree’s diameter at breast height (DBH) in the probability of presence of lizards using mixed Conditional Logistic Regression. We found that T. lagunablanca uses trees with DBH from 0.40 m to 4 m and substrate temperatures ranging from 25.9℃ to 42℃. Moreover, we showed that thickness of the trees and substrate temperatures significantly increased the probability of presence of T. lagunablanca individuals, being the probability of presence higher than 50% for trees up to 1.5 m DBH and temperature of substrate up to 37.5℃. Our study probed that T. lagunablanca individuals choose trees non-randomly, selecting thicker and warmer tree trunks. This information advances the knowledge of the spatial ecology of Neotropical arboreal lizards and is relevant for conservation, putting an emphasis on preserving native vegetation in the Pantanal.

scholarly journals Spatiotemporal variation in resource selection of servals: insights from a landscape under heavy land-use transformation

2015 ◽  
Vol 97 (2) ◽  
pp. 554-567 ◽  
Author(s):  
Tharmalingam Ramesh ◽  
Riddhika Kalle ◽  
Colleen T. Downs
Keyword(s):  
South Africa ◽  
Home Range ◽  
Resource Selection ◽  
Spatial Ecology ◽  
Selection Index ◽  
Natural Habitats ◽  
Home Range Overlap ◽  
Habitat Gradient ◽  
Range Overlap ◽  
Selection Of

Abstract Changes in habitat composition and structure along natural agricultural habitat gradient affect spatial ecology of carnivores at both intraspecific and interspecific levels. An important prerequisite for the conservation and management of habitat specialists is a sound understanding of how they use indigenous habitats within fragmented landscapes. We present the 1st comprehensive study on home range, overlap, and resource selection of 16 radiocollared servals ( Leptailurus serval ) in the Drakensberg Midlands, South Africa. Servals (11 males and 5 females) were livetrapped and radiotracked between May 2013 and August 2014 covering 4 seasons (winter, spring, summer, and autumn). Mean annual home range estimates (95% and 50% fixed kernel [FK], respectively) for males (38.07 km 2 ; 8.27 km 2 ) were generally larger than for females (6.22 km 2 ; 1.04 km 2 ). Although male core ranges varied slightly in spring, overall serval home ranges were stable across seasons. There was considerable intersexual home range overlap (> 85%), whereas intrasexual overlap was rare (< 10%). Home range size decreased with increase in age and less availability of wetland, while it increased in males at both levels (95% FK and 50% FK). For both sexes, Manley’s selection index indicated that natural habitats including wetlands and forest with bushland ranked higher than all other habitat classes. However, forested habitat was used approximately 2 times more frequently by males than females whereas cropland was avoided by both sexes. Overall, wetlands were ranked highest, followed by forest with bushland, grassland, plantations, and cropland in terms of serval resources selection. Our results emphasize that natural habitats, mainly wetlands and forests with bushland, are important predictors of spatiotemporal habitat use of servals in the agricultural mosaics of South Africa.

Resource selection by grazing herbivores on post-fire regrowth in a West African woodland savanna

2007 ◽  
Vol 34 (2) ◽  
pp. 77 ◽  
Author(s):  
Erik Klop ◽  
Janneke van Goethem ◽  
Hans H. de Iongh
Keyword(s):  
Resource Selection ◽  
West African ◽  
Tree Cover ◽  
Resource Selection Functions ◽  
Risk Of Predation ◽  
Savanna Fires ◽  
Grass Sward ◽  
Burnt Areas ◽  
Good Visibility ◽  
Selection Of

The preference of grazing herbivores to feed on grass regrowth following savanna fires rather than on unburnt grass swards is widely recognised. However, there is little information on which factors govern patterns of resource selection within burnt areas. In this study, we attempted to disentangle the effects of different habitat and grass sward characteristics on the utilisation of post-fire regrowth by nine species of ungulates in a fire-dominated woodland savanna in north Cameroon. We used resource-selection functions based on logistic regression. Overall, the resource-selection functions identified the time elapsed since burning as the most influential parameter in determining probability of use by ungulates, as most species strongly selected swards that were recently burned. This pattern might be related to nutrient levels in the grass sward. In addition, most species selected areas with high grass cover and avoided grass swards with high amounts of dead stem material. This is likely to increase bite mass and, hence, intake rates. The avoidance of high tree cover by some species may suggest selection for open areas with good visibility and, hence, reduced risk of predation. Body mass seemed to have no effect on differential selection of post-fire regrowth, irrespective of feeding style.

Homing ability of young lemon sharks, Negaprion brevirostris

2005 ◽  
Vol 72 (3) ◽  
pp. 267-281 ◽  
Author(s):  
Susi Manuela Clermont Edr�n ◽  
Samuel H. Gruber
Keyword(s):  
Negaprion Brevirostris ◽  
Lemon Sharks

scholarly journals Value analysis as a mechanism to reduce the complexity of the selection of the resources system for Agile/Virtual Enterprises in the context of Industry 4.0

2021 ◽  
Vol 49 (4) ◽  
pp. 806-816
Author(s):  
Paulo Ávila ◽  
António Pires ◽  
Goran Putnik ◽  
João Bastos ◽  
Maria Cruz-Cunha
Keyword(s):  
Industry 4.0 ◽  
Resource Selection ◽  
Selection Process ◽  
Virtual Enterprises ◽  
Value Analysis ◽  
Problem Formulations ◽  
Integration Project ◽  
Process Complexity ◽  
Final System ◽  
Selection Of

The selection of the resources system (SRS) is an important element in the integration/project of Agile/Virtual Enterprises (A/V E) because its performance is dependent of this selection, and even of its creation. However, it remains a difficult matter to solve because is still a very complex and uncertain problem. We propose that using Value Analysis (VA) in the pre-selection of resources phase represents a significant improvement of the SRS process. The current literature fails to formally address the pre-selection phase and none of the resource selection models incorporate the resources value and its consequence in the complexity of the selection process. Whereby, ours developed model with VA constitutes an innovative approach towards greater sustainability in the configuration of A/V E in the context of Industry 4.0, where a massive interconnection among enterprises is expected and consequently the increase of the selection process complexity. After the construction of a demonstrator tool for a set of the problem formulations, this paper verifies by computational results the thesis regarding the benefits of applying VA to the SRS process: VA reduces the complexity of the SRS process, even ensuring that the final system of resources achieve higher quality/value grade.

scholarly journals Effective Selection of Resources for Construction using Program Tool

2020 ◽  
Vol 9 (3) ◽  
pp. 2927-2931
Keyword(s):  
Construction Industry ◽  
Resource Selection ◽  
Construction Projects ◽  
Cost Overrun ◽  
Cost Performance ◽  
Programming Tool ◽  
Effective Selection ◽  
Selection Factor ◽  
Selection Of ◽  
Indian Scenario

In the Indian scenario construction industry facing a major problem is cost and time overrun. Effective time performance and cost performance are very important to execute the project in a successful manner by keeping them within the prescribed schedule and cost. Overall cost and duration of construction projects affected by the effective resource selection factor. This paper's objective is to rectify the improper selection of resources by a programming tool. Field survey and codebook study did collect the needed data to feed in the programming tool. The prepared tool gets distributed and making to access by every stakeholder of construction projects. This may result in the selection of construction resources as effectively. The term cost overrun in the resource part will be reduced.

scholarly journals Modified Flower Pollination based Task Scheduling in Cloud Environment using Virtual Machine Migration

2019 ◽  
Vol 8 (9) ◽  
pp. 1856-1860
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Resource Selection ◽  
Heuristic Algorithms ◽  
Past History ◽  
Fitness Function ◽  
Task Type ◽  
Flower Pollination Algorithm ◽  
Flower Pollination ◽  
Selection Of

Cloud computing allows users to use resources pay per use model by the help of internet. Users are able to do computation dynamically from different location by using internet resources. The major challenging task in cloud computing is efficient selection of resources for the tasks submitted by users. A number of heuristics and meta-heuristics algorithms are designed by different researchers. The most critical phase is the selection of appropriate resource and its management. The selection of resource include to identify list of authenticated available resources in the cloud for job submission and to choose the best resource. The best resource selection is done by the analysis of several factors like expected time to execute a task by user, access restriction to resources, and expected cost to use resources. In this paper, cloud architecture for resource selection is proposed which combines these factors and make the effective resource selection. In this paper a modified flower pollination algorithm is proposed to migrate the task on efficient virtual machine. The selection of the efficient virtual machine is calculated by the fitness function. By calculating the fitness function, the modified FPA algorithm is used to take the decision regarding VM migration is required to improve the resource efficiency or not. In this paper Virtual machine mapper maps the task as per knowledge base i.e. past history of the virtual machine, task type whether computational or communicational based. The results are compared with the existing meta-heuristic algorithms.

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