Beyond incidence data: Assessing bird habitat use in indigenous working landscapes through the analysis of behavioral variation among land uses

2021 ◽  
Vol 211 ◽  
pp. 104100
Author(s):  
Rubén Ortega-Álvarez ◽  
Viviana Ruiz-Gutiérrez ◽  
Orin J. Robinson ◽  
Esteban Berrones Benítez ◽  
Israel Medina Mena ◽  
...  
2014 ◽  
Vol 171 (1) ◽  
pp. 97-115 ◽  
Author(s):  
Adrian P Monroe ◽  
Timothy J O'Connell

2010 ◽  
Vol 74 (1) ◽  
pp. 109-119 ◽  
Author(s):  
Elisabeth B. Webb ◽  
Loren M. Smith ◽  
Mark P. Vrtiska ◽  
Theodore G. Lagrange

Wetlands ◽  
2020 ◽  
Vol 40 (6) ◽  
pp. 2041-2054
Author(s):  
Brett A. Patton ◽  
John A. Nyman ◽  
Megan K. Lapeyre

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Marco Ferretti ◽  
Marco Foi ◽  
Gisella Paci ◽  
Walter Tosi ◽  
Marco Bagliacca

The aim of the study was to test Appennino, a tool used to evaluate the habitats of animals through compositional analysis. This free tool calculates an animal’s habitat use within the GIS platform for ArcGIS and saves and exports the results of the comparative land uses to other statistical software. Visual Basic for Application programming language was employed to prepare the ESRI ArcGIS 9.x utility. The tool was tested on a dataset of 546 pheasant positions obtained from a study carried out in Tuscany (Italy). The tool automatically gave the same results as the results obtained by calculating the surfaces in ESRI ArcGIS, exporting the data from the ArcGIS, then using a commercial spreadsheet and/or statistical software to calculate the animal’s habitat use with a considerable reduction in time.


2020 ◽  
Vol 84 (7) ◽  
pp. 1361-1372 ◽  
Author(s):  
Courtney J. Duchardt ◽  
David J. Augustine ◽  
Jeffrey L. Beck

1968 ◽  
Vol 7 (02) ◽  
pp. 111-117 ◽  
Author(s):  
M. Kashgahian

The proper use of prevalence and incidence data can result in an effective way to study the history of the disease process. Methodology is given whereby the progression, duration and transition of diseases can be elucidated. Prevalence and incidence have been redefined and used in an unconventional way in view of new types of data which are being generated by mass screening projects for disease which are able to discover presymptomatic and preclinical disease states.


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