<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Habitat suitability models are powerful tools in predicting species distributions and assessing the potential impacts of environmental changes. In this article, a habitat suitability model was developed for <italic>Paradoxornis flavirostris</italic>, a threatened (Vulnerable) bird species found in the northeastern part of India, using remote sensing data and machine learning techniques. The occurrence records for <italic>P. flavirostris</italic> were considered from primary as well as multiple secondary sources like GBIF &amp; eBird, and bioclimatic variables such as temperature, precipitation, and humidity were collected from <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.worldclim.org">www.worldclim.org</ext-link>. Then, MaxEnt algorithm was used to model the habitat suitability of <italic>P. flavirostris</italic> based on the collected data. Additionally, the model was also run to project the future range of <italic>P. flavirostris</italic> under different climate change scenarios. The model also predicts potentially suitable habitats for <italic>P. flavirostris</italic> outside of its current range, suggesting areas where the species may expand or contract its distribution in the future. This research provides valuable insights into the habitat suitability and potential range dynamics of <italic>P. flavirostris</italic>, and can inform conservation planning and management efforts for this threatened bird species.</p>
</abstract>

Habitat suitability models are powerful tools in predicting species distributions and assessing the potential impacts of environmental changes. In this article, a habitat suitability model was developed for Paradoxornis flavirostris, a threatened (Vulnerable) bird species found in the northeastern part of India, using remote sensing data and machine learning techniques. The occurrence records for P. flavirostris were considered from primary as well as multiple secondary sources like GBIF & eBird, and bioclimatic variables such as temperature, precipitation, and humidity were collected from www.worldclim.org. Then, MaxEnt algorithm was used to model the habitat suitability of P. flavirostris based on the collected data. Additionally, the model was also run to project the future range of P. flavirostris under different climate change scenarios. The model also predicts potentially suitable habitats for P. flavirostris outside of its current range, suggesting areas where the species may expand or contract its distribution in the future. This research provides valuable insights into the habitat suitability and potential range dynamics of P. flavirostris, and can inform conservation planning and management efforts for this threatened bird species.

MaxEnt modelling for predicting habitat suitability and future range of Black-breasted Parrotbill (<italic>Paradoxornis flavirostris</italic> Gould, 1836) in Northeast India

Ornis Hungarica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

MaxEnt modelling for predicting habitat suitability and future range of Black-breasted Parrotbill ( Gould, 1836) in Northeast India

Habitat suitability models are powerful tools in predicting species distributions and assessing the potential impacts of environmental changes. In this...

MaxEnt modelling for predicting habitat suitability and future range of Black-breasted Parrotbill (Paradoxornis flavirostris Gould, 1836) in Northeast India

Pubblicato online: 12 giu 2024

Pagine: 31 - 44

Ricevuto: 14 apr 2024

Accettato: 10 mag 2024

DOI: https://doi.org/10.2478/orhu-2024-0003

Parole chiave
Habitat Suitability Model, MaxEnt, vulnerable, climate change,

© 2024 Chiranjib Bora et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

MaxEnt modelling for predicting habitat suitability and future range of Black-breasted Parrotbill (Paradoxornis flavirostris Gould, 1836) in Northeast India

Pubblicato online: 12 giu 2024

Pagine: 31 - 44

Ricevuto: 14 apr 2024

Accettato: 10 mag 2024

DOI: https://doi.org/10.2478/orhu-2024-0003

Parole chiaveHabitat Suitability Model, MaxEnt, vulnerable, climate change,

© 2024 Chiranjib Bora et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Habitat Suitability Model, MaxEnt, vulnerable, climate change,