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Ma TZ, Teh BT, Kho MY. Land use change and Ecological Network in rapid urban growth region in Selangor region, Malaysia. Sci Rep 2024; 14:16470. [PMID: 39014100 PMCID: PMC11252256 DOI: 10.1038/s41598-024-67294-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 07/09/2024] [Indexed: 07/18/2024] Open
Abstract
Rapid urbanization will cause various land use changes and the vast occupation of green spaces, a critical factor in the deterioration of biodiversity in urbanized areas. Some species of wildlife are endangered due to habitat shrunk and fragmentation. However, Malaysia's current biodiversity protection range is still limited. The Ecological Network (EN) refers to a framework of ecological components, which can be obtained by geographical and technical approaches to support more ecological diversity ranges. Furthermore, little research has been found on EN in Malaysia and the impact of land use change on EN. Therefore, the Selangor region is selected as the study area. This paper quantifies land use change and measures the extent of land use change to obtain the EN's change. The result has shown that forestland has decreased, explored by people for housing and agriculture from 2000 to 2020. The EN has a trend of fragmentation. Overall, this study's results imply that the land use change led to EN's worsened performance from 2000 to 2020 in the study area. This paper hopes that this research could help supply information on conserving biodiversity in future development and urban sustainable planning in Malaysia.
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Affiliation(s)
- Tian Zi Ma
- Centre for Sustainable Urban Planning and Real Estate (SUPRE), Faculty of Built Environment, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
- The Centre for Building, Construction and Tropical Architecture (BuCTA), Faculty of Built Environment, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Bor Tsong Teh
- Centre for Sustainable Urban Planning and Real Estate (SUPRE), Faculty of Built Environment, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mei Ye Kho
- The Centre for Building, Construction and Tropical Architecture (BuCTA), Faculty of Built Environment, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
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Abstract
Connectivity conservation analysis is based on a wide range of approaches designed to pinpoint key ecological corridors in order to maintain multispecies flows. However, the lack of validation procedures with accessible data prevents one from evaluating the accuracy of ecological corridor locations. We propose a new validation procedure to evaluate the accuracy of ecological corridor locations in landscape connectivity approaches. The ability of the procedure to properly rank the accuracy of different landscape connectivity approaches was illustrated in a study case. Maxent model and circuit theory were used to locate ecological corridors for forest bird species, following three approaches based on land cover, umbrella species and multispecies presence data. The validation procedure was used to compare the three approaches. Our validation procedure ranked the three approaches as expected, considering that accuracy in locating ecological corridors is related to the biological realism of calibration data. The corridors modelled were more accurate with species presence data (umbrella and multispecies approaches) compared to land cover proxy (habitat-based approach). These results confirm the quality of the validation procedure. Our validation procedure can be used to: (1) evaluate the accuracy of the location of ecological corridors; (2) select the best approach to locate ecological corridors, and (3) validate the underlying assumptions of landscape connectivity approaches (e.g., dispersal and matrix resistance values).
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He P, Montiglio PO, Somveille M, Cantor M, Farine DR. The role of habitat configuration in shaping animal population processes: a framework to generate quantitative predictions. Oecologia 2021; 196:649-665. [PMID: 34159423 PMCID: PMC8292241 DOI: 10.1007/s00442-021-04967-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 06/10/2021] [Indexed: 12/20/2022]
Abstract
By shaping where individuals move, habitat configuration can fundamentally structure animal populations. Yet, we currently lack a framework for generating quantitative predictions about the role of habitat configuration in modulating population outcomes. To address this gap, we propose a modelling framework inspired by studies using networks to characterize habitat connectivity. We first define animal habitat networks, explain how they can integrate information about the different configurational features of animal habitats, and highlight the need for a bottom–up generative model that can depict realistic variations in habitat potential connectivity. Second, we describe a model for simulating animal habitat networks (available in the R package AnimalHabitatNetwork), and demonstrate its ability to generate alternative habitat configurations based on empirical data, which forms the basis for exploring the consequences of alternative habitat structures. Finally, we lay out three key research questions and demonstrate how our framework can address them. By simulating the spread of a pathogen within a population, we show how transmission properties can be impacted by both local potential connectivity and landscape-level characteristics of habitats. Our study highlights the importance of considering the underlying habitat configuration in studies linking social structure with population-level outcomes.
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Affiliation(s)
- Peng He
- Department of Collective Behavior, Max Planck Institute of Animal Behavior, Konstanz, Germany. .,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany. .,Department of Biology, University of Konstanz, Konstanz, Germany. .,Department of Evolutionary Biology and Environmental Science, University of Zurich, Zurich, Switzerland.
| | | | - Marius Somveille
- Birdlife International, The David Attenborough Building, Cambridge, UK.,Department of Biology, Colorado State University, Fort Collins, CO, 80523, USA
| | - Mauricio Cantor
- Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.,Department of Evolutionary Biology and Environmental Science, University of Zurich, Zurich, Switzerland.,Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Konstanz, Germany.,Departamento de Ecologia e Zoologia, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Damien R Farine
- Department of Collective Behavior, Max Planck Institute of Animal Behavior, Konstanz, Germany.,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.,Department of Evolutionary Biology and Environmental Science, University of Zurich, Zurich, Switzerland
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Teitelbaum CS, Hepinstall-Cymerman J, Kidd-Weaver A, Hernandez SM, Altizer S, Hall RJ. Urban specialization reduces habitat connectivity by a highly mobile wading bird. MOVEMENT ECOLOGY 2020; 8:49. [PMID: 33372623 PMCID: PMC7720518 DOI: 10.1186/s40462-020-00233-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 11/17/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Mobile animals transport nutrients and propagules across habitats, and are crucial for the functioning of food webs and for ecosystem services. Human activities such as urbanization can alter animal movement behavior, including site fidelity and resource use. Because many urban areas are adjacent to natural sites, mobile animals might connect natural and urban habitats. More generally, understanding animal movement patterns in urban areas can help predict how urban expansion will affect the roles of highly mobile animals in ecological processes. METHODS Here, we examined movements by a seasonally nomadic wading bird, the American white ibis (Eudocimus albus), in South Florida, USA. White ibis are colonial wading birds that forage on aquatic prey; in recent years, some ibis have shifted their behavior to forage in urban parks, where they are fed by people. We used a spatial network approach to investigate how individual movement patterns influence connectivity between urban and non-urban sites. We built a network of habitat connectivity using GPS tracking data from ibis during their non-breeding season and compared this network to simulated networks that assumed individuals moved indiscriminately with respect to habitat type. RESULTS We found that the observed network was less connected than the simulated networks, that urban-urban and natural-natural connections were strong, and that individuals using urban sites had the least-variable habitat use. Importantly, the few ibis that used both urban and natural habitats contributed the most to connectivity. CONCLUSIONS Habitat specialization in urban-acclimated wildlife could reduce the exchange of propagules and nutrients between urban and natural areas, which has consequences both for beneficial effects of connectivity such as gene flow and for detrimental effects such as the spread of contaminants or pathogens.
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Affiliation(s)
| | | | - Anjelika Kidd-Weaver
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA
- Present address: College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, USA
| | - Sonia M Hernandez
- Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, USA
- Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA, USA
| | - Sonia Altizer
- Odum School of Ecology, University of Georgia, Athens, GA, USA
| | - Richard J Hall
- Odum School of Ecology, University of Georgia, Athens, GA, USA
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA, USA
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Hartfelder J, Reynolds C, Stanton RA, Sibiya M, Monadjem A, McCleery RA, Fletcher RJ. The allometry of movement predicts the connectivity of communities. Proc Natl Acad Sci U S A 2020; 117:22274-22280. [PMID: 32848069 PMCID: PMC7486732 DOI: 10.1073/pnas.2001614117] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Connectivity has long played a central role in ecological and evolutionary theory and is increasingly emphasized for conserving biodiversity. Nonetheless, connectivity assessments often focus on individual species even though understanding and preserving connectivity for entire communities is urgently needed. Here we derive and test a framework that harnesses the well-known allometric scaling of animal movement to predict community-level connectivity across protected area networks. We used a field translocation experiment involving 39 species of southern African birds to quantify movement capacity, scaled this relationship to realized dispersal distances determined from ring-and-recovery banding data, and used allometric scaling equations to quantify community-level connectivity based on multilayer network theory. The translocation experiment explained observed dispersal distances from ring-recovery data and emphasized allometric scaling of dispersal based on morphology. Our community-level networks predicted that larger-bodied species had a relatively high potential for connectivity, while small-bodied species had lower connectivity. These community networks explained substantial variation in observed bird diversity across protected areas. Our results highlight that harnessing allometric scaling can be an effective way of determining large-scale community connectivity. We argue that this trait-based framework founded on allometric scaling provides a means to predict connectivity for entire communities, which can foster empirical tests of community theory and contribute to biodiversity conservation strategies aimed at mitigating the effects of environmental change.
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Affiliation(s)
- Jack Hartfelder
- Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611
| | - Chevonne Reynolds
- School of Animal, Plant and Environmental Science, University of the Witwatersrand, Braamfontein 2000, Johannesburg, South Africa
- FitzPatrick Institute of African Ornithology, Department of Science and Technology/National Research Foundation (DST/NRF) Centre of Excellence, University of Cape Town, Rondebosch 7700, Cape Town, South Africa
| | - Richard A Stanton
- Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611
| | - Muzi Sibiya
- Interdisciplinary Program in Ecology, University of Florida, Gainesville, FL 32611
| | - Ara Monadjem
- Department of Biological Sciences, University of Eswatini, M202 Kwaluseni, Eswatini
- Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Hatfield 0028, Pretoria, South Africa
| | - Robert A McCleery
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611
- Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Hatfield 0028, Pretoria, South Africa
| | - Robert J Fletcher
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611
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