Mapping of Potential Sites of Bamboo Plantation in Agusan del Norte, Philippines using Species Distribution Modelling

The Philippines is focusing on cultivating a high-value bamboo species for global markets, particularly in paper production and construction materials, with Agusan del Norte identified as a key plantation area.The study aims to find potential area for bamboo species plantation using MaxEnt modeling.The methods involve gathering presence data, environmental and other data, correlation of this data, and running the MaxEnt modeling.A 0.802 mean AUC was generated indicating a good modeling, with BIO 7 as the most influential variable.A 1 km x 1 km bamboo suitability map was generated using the model.As predicted in the suitability map modeling Buenavista, Nasipit, and Carmen presented a pronounce suitability points (i.e., highly suitable area).

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Publication Details

Journal
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Published
2024-10-17
DOI
https://doi.org/10.5109/7323318
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping of Potential Sites of Bamboo Plantation in Agusan del Norte, Philippines using Species Distribution Modelling

Arturo G. Cauba, Christian Dale Cunanan, Raymart B. Monteclaro
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Wildlife Ecology and Conservation
article

Mapping of Potential Sites of Bamboo Plantation in Agusan del Norte, Philippines using Species Distribution Modelling

Arturo G. Cauba, Christian Dale Cunanan, Raymart B. Monteclaro
article en

Abstract

The Philippines is focusing on cultivating a high-value bamboo species for global markets, particularly in paper production and construction materials, with Agusan del Norte identified as a key plantation area.The study aims to find potential area for bamboo species plantation using MaxEnt modeling.The methods involve gathering presence data, environmental and other data, correlation of this data, and running the MaxEnt modeling.A 0.802 mean AUC was generated indicating a good modeling, with BIO 7 as the most influential variable.A 1 km x 1 km bamboo suitability map was generated using the model.As predicted in the suitability map modeling Buenavista, Nasipit, and Carmen presented a pronounce suitability points (i.e., highly suitable area).

Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)Vol. 10
Caraga State University (PH)
Openalex Percentile: Top 58%
Wildlife Ecology and Conservation
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