Factors Affecting Golden-Cheeked Warbler Nest Survival in Urban and Rural Landscapes

2009 ◽  
Vol 73 (3) ◽  
pp. 407-413 ◽  
Author(s):  
Jennifer L. Reidy ◽  
Frank R. Thompson ◽  
Rebecca G. Peak
Keyword(s):  
Nest Survival ◽  
Factors Affecting ◽  
Rural Landscapes

Factors Affecting Nest Survival of Greater Sage-Grouse in Northcentral Montana

2007 ◽  
Vol 71 (6) ◽  
pp. 1773-1783 ◽  
Author(s):  
BRENDAN J. MOYNAHAN ◽  
MARK S. LINDBERG ◽  
JAY J. ROTELLA ◽  
JACK WARD THOMAS
Keyword(s):  
Nest Survival ◽  
Sage Grouse ◽  
Factors Affecting

Factors affecting nest survival of Henslow's Sparrows (Ammodramus henslowii) in southern Indiana

2016 ◽  
Vol 128 (1) ◽  
pp. 108-119 ◽  
Author(s):  
Shawn M. Crimmins ◽  
Patrick C. McKann ◽  
Joseph R. Robb ◽  
Jason P. Lewis ◽  
Teresa Vanosdol ◽  
...  
Keyword(s):  
Nest Survival ◽  
Factors Affecting ◽  
Ammodramus Henslowii

Factors affecting Florida scrub-jay nest survival on Ocala National Forest, Florida

2011 ◽  
Vol 75 (5) ◽  
pp. 1040-1050 ◽  
Author(s):  
Kathleen E. Franzreb ◽  
Stanley J. Zarnoch
Keyword(s):  
Nest Survival ◽  
National Forest ◽  
Florida Scrub ◽  
Factors Affecting

Factors Affecting Songbird Nest Survival in Northern Mixed-Grass Prairie

2010 ◽  
Vol 74 (2) ◽  
pp. 257-264 ◽  
Author(s):  
Courtney K. Kerns ◽  
Mark R. Ryan ◽  
Robert K. Murphy ◽  
Frank R. Thompson ◽  
Cory S. Rubin
Keyword(s):  
Nest Survival ◽  
Factors Affecting ◽  
Mixed Grass Prairie ◽  
Mixed Grass

scholarly journals Factors affecting Bobolink nest survival across grassland types

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Monica A. Fromberger ◽  
Andrew J. Campomizzi ◽  
Zoé M. Lebrun-Southcott ◽  
Alice L. Pintaric ◽  
Nicole M. MacDonald ◽  
...  
Keyword(s):  
Nest Survival ◽  
Factors Affecting ◽  
Grassland Types

scholarly journals Factors affecting seasonal movements of juvenile Greater Sage-Grouse: A reconceptualized nest survival model

The Condor ◽  
2016 ◽  
Vol 118 (1) ◽  
pp. 139-147 ◽  
Author(s):  
Danny Caudill ◽  
Theron M. Terhune ◽  
Brent Bibles ◽  
Terry A. Messmer
Keyword(s):  
Nest Survival ◽  
Survival Model ◽  
Sage Grouse ◽  
Factors Affecting ◽  
Seasonal Movements

scholarly journals Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach

Forests ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 533
Author(s):  
Ayhan Serttaş ◽  
Özer Bakar ◽  
Uğur Melih Alkan ◽  
Arif Yılmaz ◽  
Halil İbrahim Yolcu ◽  
...  
Keyword(s):  
Data Mining ◽  
Statistical Significance ◽  
Nest Survival ◽  
Canopy Closure ◽  
Factors Affecting ◽  
Formica Rufa ◽  
Wide Range ◽  
Southern Turkey ◽  
Red Wood Ant ◽  
Habitat Parameters

Research highlights: Formica rufa is used widely for biocontrol in Turkish forests. Although ecological characteristics of red wood ant habitats are well known, the statistical significance of these characteristics and their effects on nest transplantation success are largely unknown. Having such knowledge on a local scale, however, can help to predict the success of a scheduled transplantation effort, and can prevent loss of time and money. Background and objectives: In the present study, we used nest transplantation data from southern Turkey to determine habitat parameters that have a significant impact on nest survival, and to investigate possibility of predicting transplantation success from habitat parameter data. Materials and methods: Algorithms of data mining are widely used in agricultural and forestry applications for a wide range of tasks. In the present study, we used descriptive statistics to summarize the transplantation profile according to six habitat parameters (altitude, aspect, canopy closure, landform, nest substrate, and slope). We also used classification, a data mining approach, with two of its methods (decision tree and naïve Bayes) to determine the most important habitat parameters for nest survival and predict nest transplantation success in southern Turkey. Results: We found that altitude, aspect, and canopy closure were the most important factors affecting transplantation success. We also show that classification methods can be used in not only classifying, but also predicting the success rate of future transplantations. Thus, we show that the possibility of success for a given area can be predicted when certain parameters are known. Conclusions: This method can assist biological control practitioners in planning biocontrol programs and selecting favorable spots for red wood ant nest transplantation.

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