<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The association between patch metrics and roosting site (n = 31) suitability of Lyle’s flying fox (<italic>Pteropus lylei</italic>) in 26 Central Eastern and Western provinces of Thailand was quantified. Land use classes with 90-m resolution were identified based on various vegetation and land cover types to calculate patch metrics using FRAGSTATS. Then, Maximum Entropy Modeling (MaxEnt) was performed using patch metrics covariates to produce a predictive potential distribution map. The results indicated that patch contiguity (contiguity index, 63.7%), patch area (29.3%), and patch shape complexity (shape index, 5.7%) are the most influential patch metrics, all of which have negative effects on roosting site suitability. In total, 13,222 small patches were considered highly suitable patches, with a mean area of 0.921 ± 0.698 (SD) ha, which accounted for 122,090 ha (2.04%) of the study area. Roosting sites predicted from the model were consistently associated with occurrences of roosting sites observed in temples; such habitats likely provide shelter from external threats for colonies roosting in a human-dominated landscape.</p></abstract>

The association between patch metrics and roosting site (n = 31) suitability of Lyle’s flying fox (Pteropus lylei) in 26 Central Eastern and Western provinces of Thailand was quantified. Land use classes with 90-m resolution were identified based on various vegetation and land cover types to calculate patch metrics using FRAGSTATS. Then, Maximum Entropy Modeling (MaxEnt) was performed using patch metrics covariates to produce a predictive potential distribution map. The results indicated that patch contiguity (contiguity index, 63.7%), patch area (29.3%), and patch shape complexity (shape index, 5.7%) are the most influential patch metrics, all of which have negative effects on roosting site suitability. In total, 13,222 small patches were considered highly suitable patches, with a mean area of 0.921 ± 0.698 (SD) ha, which accounted for 122,090 ha (2.04%) of the study area. Roosting sites predicted from the model were consistently associated with occurrences of roosting sites observed in temples; such habitats likely provide shelter from external threats for colonies roosting in a human-dominated landscape.

Patch metrics of roosting site selection by Lyle’s flying fox (<italic>Pteropus lylei</italic> Andersen, 1908) in a human-dominated landscape in Thailand

Department of Forest Biology, Faculty of Forestry

Protected Area Regional Official 12 (Nakhon Sawan), Department of National Parks, Wildlife and Plant Conservation

Sukhothai Thammathirat Open University (STOU)

Thai Red Cross Emerging Infectious Diseases - Health Science Centre, World Health Organization Collaborating Centre for Research and Training on Viral Zoonoses

Folia Oecologica

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

Patch metrics of roosting site selection by Lyle’s flying fox ( Andersen, 1908) in a human-dominated landscape in Thailand

The association between patch metrics and roosting site (n = 31) suitability of Lyle’s flying fox (Pteropus lylei) in 26 Central Eastern and Western provinces...

Patch metrics of roosting site selection by Lyle’s flying fox (Pteropus lylei Andersen, 1908) in a human-dominated landscape in Thailand

Published Online: May 27, 2019

Page range: 63 - 72

Received: Mar 14, 2019

Accepted: Apr 24, 2019

DOI: https://doi.org/10.2478/foecol-2019-0009

Keywords
Lyle’s flying fox, MaxEnt, patch metrics, roosting site selection, species distribution modeling

© 2019 Prateep Duengkae et al., published by Sciendo

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

Patch metrics of roosting site selection by Lyle’s flying fox (Pteropus lylei Andersen, 1908) in a human-dominated landscape in Thailand

Published Online: May 27, 2019

Page range: 63 - 72

Received: Mar 14, 2019

Accepted: Apr 24, 2019

DOI: https://doi.org/10.2478/foecol-2019-0009

KeywordsLyle’s flying fox, MaxEnt, patch metrics, roosting site selection, species distribution modeling

© 2019 Prateep Duengkae et al., published by Sciendo

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

Keywords
Lyle’s flying fox, MaxEnt, patch metrics, roosting site selection, species distribution modeling