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

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Фев. 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.

Язык: Английский

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

и другие.

Ecological Informatics, Год журнала: 2022, Номер 72, С. 101841 - 101841

Опубликована: Окт. 11, 2022

Язык: Английский

Процитировано

2

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

и другие.

Research Square (Research Square), Год журнала: 2022, Номер unknown

Опубликована: Фев. 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.

Язык: Английский

Процитировано

0