scholarly journals Improving spatial predictions of animal resource selection to guide conservation decision making

Ecology ◽  
2020 ◽  
Vol 101 (3) ◽  
Author(s):  
Brian D. Gerber ◽  
Joseph M. Northrup
2013 ◽  
Vol 82 (6) ◽  
pp. 1155-1164 ◽  
Author(s):  
Devin S. Johnson ◽  
Mevin B. Hooten ◽  
Carey E. Kuhn

Biometrics ◽  
2007 ◽  
Vol 64 (3) ◽  
pp. 968-976 ◽  
Author(s):  
Devin S. Johnson ◽  
Dana L. Thomas ◽  
Jay M. Ver Hoef ◽  
Aaron Christ

Ecosphere ◽  
2017 ◽  
Vol 8 (3) ◽  
pp. e01730 ◽  
Author(s):  
Robert Serrouya ◽  
Amanda Kellner ◽  
Gary Pavan ◽  
Doug W. Lewis ◽  
Craig A. DeMars ◽  
...  

2011 ◽  
Vol 186 ◽  
pp. 203-209
Author(s):  
Ming Cheng Qu ◽  
Xiang Hu Wu ◽  
Ming Hong Liao ◽  
Xiao Zong Yang

The parallel data transmission based on multi-copy is a key strategy to enhance transmission speed and ensure the QoS of data grid. Currently how to select replica nodes to achieve multiple optimization objectives is an import problem to be solved. To satisfy the constraint of transmission time for service request, a model is proposed. The network load and services tolerance are all taken into account by putting forward a tolerance function for service request, taking network load and tolerance functions as optimization objective at the same time, and introducing a weighting factor to balance the two functions. In experiments various parameters of the model were detected, and good results are achieved in decision-making. It shows that the model is correct and effective.


2010 ◽  
Vol 38 (1) ◽  
pp. 18-27 ◽  
Author(s):  
BRIAN N. KERTSON ◽  
JOHN M. MARZLUFF

SUMMARYUnderstanding the resource needs of animals is critical to their management and conservation. Resource utilization functions (RUFs) provide a framework to investigate animal-resource relationships by characterizing variation in the amount of resource use. In this context a ‘resource’ is any aspect of a species' fundamental niche that can be mapped throughout the area of investigation (such as study area or home range). Extensive global positioning system (GPS) data from 17 cougars (Puma concolor) demonstrate the utility and potential challenges of estimating RUFs within the home range for far-ranging species. Ninety-nine per cent utilization distributions (UDs) estimated using bivariate plug in, univariate least-squares cross-validation and reference bandwidth selection methods were compared. Distance to water, per cent clear-cut and regenerating forest, and slope were used to estimate cougar RUFs. UDs derived from GPS data were more refined, and plug-in UDs were least similar to UDs derived from other bandwidths. RUFs were resilient to variation in the smoothing parameter, with all methods yielding coefficients that largely reflected observations of foraging ecology and behaviour. Cougars were individualistic, but use was generally positively associated with the presence of regenerating forest and inversely associated with steep slopes. Advances in technology allow for greater accuracy and resolution of the UD, but software improvements and spatially explicit information on animal behaviour are needed to better understand resource use.


Author(s):  
A. Pires ◽  
G. Putnik ◽  
P. Ávila

In this work, a survey is made of the analysis of the resource selection process. We approach the process also from the point of view of conventional enterprises but with particular emphasis on the existent models in Agile/Virtual Enterprises in order to identify the main limitations and shortcomings of the process. This analysis was focused in the global process of the resource selection, namely in terms of the pre-selection and selection phases, requisites, mathematical models, tools and other relevant areas in the existent models. It is concluded that the resource pre-selection is an area that is not adequately explored in a systematic way. The value concept is not incorporated in the selection process. As a result, a reasoned analysis is not performed of the decision-making process for creating an Agile/Virtual Enterprise. These conclusions were made to envision a future approach that allows the incorporation of new areas that contribute to the improvement of the resource selection process.


Author(s):  
Zhenjun Ming ◽  
Guoxin Wang ◽  
Yan Yan ◽  
Joseph Dal Santo ◽  
Janet K. Allen ◽  
...  

Engineering design is increasingly recognized as a decision making process. Providing decision support is crucial to augment designers' decision-making capability in this process. In this paper, we present a template-based ontological method that integrates the decision-making mechanism with problem-specific information; thus, it can provide design decision support from both the “construct” and the “information” perspectives. The “construct,” namely, decision-making mechanism, is the utility-based Decision Support Problem (u-sDSP), which is a rigorous mathematical model that facilitates designers making multi-attribute selection decisions under uncertainty, while the information for decision making is archived as u-sDSP templates and represented using frame-based ontology to facilitate reuse, execution, and consistency-maintaining. This paper is an extension of our earlier work on the ontological modeling of the compromise decisions. The unique advantage of this ontology is that it captures both the declarative and procedural knowledge of selection decisions and represents them separately, thus facilitating designers reusing, executing previous documented decision knowledge to effect new decisions. The efficacy of ontology is demonstrated using a rapid prototyping (RP) resource selection example.


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