Predicting the probability of avian reproductive success and its components at a nesting site DOI Creative Commons
Sinchan Ghosh, Arnab Banerjee, Soumalya Mukhopadhyay

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Feb. 22, 2022

Abstract Avian reproduction has three chronological components: nesting, mating, hatching, and fledging. Predicting the probability of individual components helps to identify period that needs most aid, increasing conservation efficiency. This prediction requires identification biotic, abiotic, sociological variables a bird’s environment responsible for these componentwise success probabilities. There is also no standard methodology estimate values separately. study estimates absolute each component, identifies correlated environmental predictors gives modeling framework accurately predict probabilities using Merops Philippines as test bed. The result surveyed data proposed indicates corridor between nesting mating vulnerable environment. Social structure key all reproductive but nesting. Both biotic abiotic factors are crucial determinants success. Mating, fledging depend more on than ones. Linear frameworks helpful explore which types better determinant component. Artificial neural networking useful successes new site. Although developed philippinus data, applicable other birds.

Language: Английский

Predicting the probability of avian reproductive success and its components at a nesting site DOI
Sinchan Ghosh, Arnab Banerjee, Soumalya Mukhopadhyay

et al.

Ecological Informatics, Journal Year: 2022, Volume and Issue: 72, P. 101841 - 101841

Published: Oct. 11, 2022

Language: Английский

Citations

2

Predicting the probability of avian reproductive success and its components at a nesting site DOI Creative Commons
Sinchan Ghosh, Arnab Banerjee, Soumalya Mukhopadhyay

et al.

Research Square (Research Square), Journal Year: 2022, Volume and Issue: unknown

Published: Feb. 22, 2022

Abstract Avian reproduction has three chronological components: nesting, mating, hatching, and fledging. Predicting the probability of individual components helps to identify period that needs most aid, increasing conservation efficiency. This prediction requires identification biotic, abiotic, sociological variables a bird’s environment responsible for these componentwise success probabilities. There is also no standard methodology estimate values separately. study estimates absolute each component, identifies correlated environmental predictors gives modeling framework accurately predict probabilities using Merops Philippines as test bed. The result surveyed data proposed indicates corridor between nesting mating vulnerable environment. Social structure key all reproductive but nesting. Both biotic abiotic factors are crucial determinants success. Mating, fledging depend more on than ones. Linear frameworks helpful explore which types better determinant component. Artificial neural networking useful successes new site. Although developed philippinus data, applicable other birds.

Language: Английский

Citations

0