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Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia

In Malaysia, multiple land use by humans has caused substantial losses of wetland ecosystems, and shrinkage of the populations, habitat and food bases of avian species. However, studies of avian populations, especially of waterbirds, is important, allowing us to understand the complexity of the wetl...

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Main Authors: Chukwuemeka, Onwuka Martins, Oluwatobi, Emmanuel Olaniyi, Hussin, Mohamed Zakaria
Format: Article
Published: BioOne 2021
Online Access:http://psasir.upm.edu.my/id/eprint/97117/
https://bioone.org/journals/ornithological-science/volume-20/issue-1/osj.20.39/Environmental-Factors-and-Spatial-Heterogeneity-Affect-Occupancy-Estimates-of-Waterbirds/10.2326/osj.20.39.short
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spelling my.upm.eprints.971172023-04-19T04:07:00Z http://psasir.upm.edu.my/id/eprint/97117/ Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia Chukwuemeka, Onwuka Martins Oluwatobi, Emmanuel Olaniyi Hussin, Mohamed Zakaria In Malaysia, multiple land use by humans has caused substantial losses of wetland ecosystems, and shrinkage of the populations, habitat and food bases of avian species. However, studies of avian populations, especially of waterbirds, is important, allowing us to understand the complexity of the wetland ecosystem structure, and also develop appropriate management techniques with robust monitoring tools to ensure the ecological sustainability of wetlands. This study aimed to determine the eco-climatic factors influencing the occurrence of waterbirds and to develop habitat suitability models for thePaya Indah (PIW) and Putrajaya wetlands (PW), Malaysia. A distance sampling point count technique using stratified random design was employed to survey the wetlands from November 2016 to January 2019. A total of 57 sampling points at 14 lakes at PIW and 54 sampling points at 24 lakes at PW were chosen. An automatic linear modelling algorithm and geographic information systems were employed to compute the importance ratios of 17 eco-climatic factors (hydrology 9; climate 5; waterscape 1 and landscape 2). The results revealed that all individual and estimated indices for observed waterbirds were significant. The automatic linear modelling algorithm results for PIW waterbirds also showed that the maximum and minimum weights of the factors were land cover and water dissolved oxygen, while in PW they were atmospheric pressure and Normalized Difference Water Index (NDWI). The maximum and minimum weights of the factors for waterbirds in PIW were water turbidity and electrical conductivity, while at PW they were atmospheric pressure and six water parameters. Large areas of Putrajaya Wetland were classified as more suitable for waterbirds than Paya Indah Wetland due to the favourable water pH, atmospheric pressure and land cover (forage availability). Thus, the models' adoption as a management tool can help in the maintenance of the wetlands' habitat quality and management effectiveness of waterbird species. BioOne 2021 Article PeerReviewed Chukwuemeka, Onwuka Martins and Oluwatobi, Emmanuel Olaniyi and Hussin, Mohamed Zakaria (2021) Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia. Ornithological Science, 20 (1). pp. 39-55. ISSN 1347-0558 https://bioone.org/journals/ornithological-science/volume-20/issue-1/osj.20.39/Environmental-Factors-and-Spatial-Heterogeneity-Affect-Occupancy-Estimates-of-Waterbirds/10.2326/osj.20.39.short 10.2326/osj.20.39
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description In Malaysia, multiple land use by humans has caused substantial losses of wetland ecosystems, and shrinkage of the populations, habitat and food bases of avian species. However, studies of avian populations, especially of waterbirds, is important, allowing us to understand the complexity of the wetland ecosystem structure, and also develop appropriate management techniques with robust monitoring tools to ensure the ecological sustainability of wetlands. This study aimed to determine the eco-climatic factors influencing the occurrence of waterbirds and to develop habitat suitability models for thePaya Indah (PIW) and Putrajaya wetlands (PW), Malaysia. A distance sampling point count technique using stratified random design was employed to survey the wetlands from November 2016 to January 2019. A total of 57 sampling points at 14 lakes at PIW and 54 sampling points at 24 lakes at PW were chosen. An automatic linear modelling algorithm and geographic information systems were employed to compute the importance ratios of 17 eco-climatic factors (hydrology 9; climate 5; waterscape 1 and landscape 2). The results revealed that all individual and estimated indices for observed waterbirds were significant. The automatic linear modelling algorithm results for PIW waterbirds also showed that the maximum and minimum weights of the factors were land cover and water dissolved oxygen, while in PW they were atmospheric pressure and Normalized Difference Water Index (NDWI). The maximum and minimum weights of the factors for waterbirds in PIW were water turbidity and electrical conductivity, while at PW they were atmospheric pressure and six water parameters. Large areas of Putrajaya Wetland were classified as more suitable for waterbirds than Paya Indah Wetland due to the favourable water pH, atmospheric pressure and land cover (forage availability). Thus, the models' adoption as a management tool can help in the maintenance of the wetlands' habitat quality and management effectiveness of waterbird species.
format Article
author Chukwuemeka, Onwuka Martins
Oluwatobi, Emmanuel Olaniyi
Hussin, Mohamed Zakaria
spellingShingle Chukwuemeka, Onwuka Martins
Oluwatobi, Emmanuel Olaniyi
Hussin, Mohamed Zakaria
Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
author_facet Chukwuemeka, Onwuka Martins
Oluwatobi, Emmanuel Olaniyi
Hussin, Mohamed Zakaria
author_sort Chukwuemeka, Onwuka Martins
title Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
title_short Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
title_full Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
title_fullStr Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
title_full_unstemmed Environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in Peninsular Malaysia
title_sort environmental factors and spatial heterogeneity affect occupancy estimates of waterbirds in peninsular malaysia
publisher BioOne
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/97117/
https://bioone.org/journals/ornithological-science/volume-20/issue-1/osj.20.39/Environmental-Factors-and-Spatial-Heterogeneity-Affect-Occupancy-Estimates-of-Waterbirds/10.2326/osj.20.39.short
_version_ 1765298664000978944
score 13.211869

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