scholarly journals Bird migration patterns in the arid southwest-Final report

2010 ◽  
Author(s):  
Janet M. Ruth ◽  
Rodney K. Felix ◽  
Robert H. Dieh
Keyword(s):  
Bird Migration ◽  
Final Report ◽  
Migration Patterns ◽  
Arid Southwest

scholarly journals Resource Assessment for Microalgal/Emergent Aquatic Biomass Systems in the Arid Southwest: Final Report

1982 ◽  
Author(s):  
B. W. Vigon ◽  
M. F. Arthur ◽  
L. G. Taft ◽  
C. K. Wagner ◽  
E. S. Lipinsky ◽  
...  
Keyword(s):  
Resource Assessment ◽  
Final Report ◽  
Aquatic Biomass ◽  
Arid Southwest

scholarly journals Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task

2020 ◽  
Author(s):  
Kehinde Owoeye
Keyword(s):  
Bird Migration ◽  
Satellite Telemetry ◽  
Biodiversity Loss ◽  
Critical Infrastructures ◽  
Cathartes Aura ◽  
Migration Patterns ◽  
Building Models ◽  
High Tension ◽  
Avian Biodiversity ◽  
Better Than

Early forecasting of bird migration patterns has important application for example in reducing avian biodiversity loss. An estimated 100 million to 1 billion birds are known to die yearly during migration due to fatal collisions with human made infrastructures such as buildings, high tension lines, wind turbines and aircrafts thus raising a huge concern for conservationists. Building models that can forecast accurate migration patterns is therefore important to enable the optimal management of these critical infrastructures with the sole aim of reducing biodiversity loss. While previous works have largely focused on the task of forecasting migration intensities and the onset of just one migration state, predicting several migration states at even finer granularity is more useful towards optimally managing the infrastructures that causes these deaths. In this work, we consider the task of forecasting migration patterns of the popular Turkey Vulture (Cathartes aura) collected with the aid of satellite telemetry for multiple years at a resolution of one hour. We use a deep Bidirectional-GRU recurrent neural network augmented with an auxiliary task where the state information of one layer is used to initialise the other. Empirical results on a variety of experiments with our approach show we can accurately forecast migration up to one week in advance performing better than a variety of baselines.

Changes in bird-migration patterns associated with human-induced mortality

2016 ◽  
Vol 31 (1) ◽  
pp. 106-115 ◽  
Author(s):  
Carlos Palacín ◽  
Juan C. Alonso ◽  
Carlos A. Martín ◽  
Javier A. Alonso
Keyword(s):  
Bird Migration ◽  
Migration Patterns

scholarly journals Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

2009 ◽  
Vol 4 (1) ◽  
pp. 65 ◽  
Author(s):  
Yali Si ◽  
Andrew K. Skidmore ◽  
Tiejun Wang ◽  
Willem F. De Boer ◽  
Pravesh Debba ◽  
...  
Keyword(s):  
Bird Migration ◽  
Temporal Dynamics ◽  
Migration Patterns ◽  
Spatio Temporal
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