Seeing the Big‐ to Fine‐Grained Picture: Exploring the Baseline Status of Mammal Occupancy Across Myanmar Using Scale‐Optimised Modelling DOI Creative Commons
Pyae Phyoe Kyaw, Samuel A. Cushman, Żaneta Kaszta

et al.

Diversity and Distributions, Journal Year: 2024, Volume and Issue: 30(11)

Published: Oct. 15, 2024

ABSTRACT Aim Myanmar, an Indo‐Burmese biodiversity hotspot, lacks baseline data on species occurrence and distribution. This hinders monitoring optimisation of conservation development plans. We aim to document mammal occupancy, interactions with environmental factors scale‐dependent responses. Location Hkakaborazi National Park, Htamanthi Wildlife Sanctuary, Alaungdaw Kathapa Rakhine Yoma Elephant Range, Say Taung Myinmoletkhat Key Biodiversity Areas distributed across Myanmar. Methods Camera trap throughout Myanmar were used analyse occupancy. conducted a multiscale hierarchical spatial modelling process, using local pooled also optimised scale five scales six predictors, univariate occupancy models. then selected scale‐optimised variables for multivariate modelling, repeating this process each local, regional national datasets. Results The study identified 47 terrestrial observed strong nonstationarity in estimates. Relationships differed among highly dependent. Importantly, estimates produced by pooling sites greatly different from any the individual sites, suggesting that high heterogeneity abundance requires or nested account variation. Main Conclusions Future efforts should focus Northern if range‐restricted rare are be protected, while still given common which serve as potential indicators overall community structure. results datasets underscores misleading interpretations aggregated nonstationary ecological systems. Metareplicated analyses geographically ecologically proximal provide important view variation patterns guiding design improving understanding drivers change large regions, such Southeast Asia.

Language: Английский

Seeing the Big‐ to Fine‐Grained Picture: Exploring the Baseline Status of Mammal Occupancy Across Myanmar Using Scale‐Optimised Modelling DOI Creative Commons
Pyae Phyoe Kyaw, Samuel A. Cushman, Żaneta Kaszta

et al.

Diversity and Distributions, Journal Year: 2024, Volume and Issue: 30(11)

Published: Oct. 15, 2024

ABSTRACT Aim Myanmar, an Indo‐Burmese biodiversity hotspot, lacks baseline data on species occurrence and distribution. This hinders monitoring optimisation of conservation development plans. We aim to document mammal occupancy, interactions with environmental factors scale‐dependent responses. Location Hkakaborazi National Park, Htamanthi Wildlife Sanctuary, Alaungdaw Kathapa Rakhine Yoma Elephant Range, Say Taung Myinmoletkhat Key Biodiversity Areas distributed across Myanmar. Methods Camera trap throughout Myanmar were used analyse occupancy. conducted a multiscale hierarchical spatial modelling process, using local pooled also optimised scale five scales six predictors, univariate occupancy models. then selected scale‐optimised variables for multivariate modelling, repeating this process each local, regional national datasets. Results The study identified 47 terrestrial observed strong nonstationarity in estimates. Relationships differed among highly dependent. Importantly, estimates produced by pooling sites greatly different from any the individual sites, suggesting that high heterogeneity abundance requires or nested account variation. Main Conclusions Future efforts should focus Northern if range‐restricted rare are be protected, while still given common which serve as potential indicators overall community structure. results datasets underscores misleading interpretations aggregated nonstationary ecological systems. Metareplicated analyses geographically ecologically proximal provide important view variation patterns guiding design improving understanding drivers change large regions, such Southeast Asia.

Language: Английский

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