Network analysis of potential migration routes for Oriental White Storks (<i>Ciconia boyciana</i>)

Shimazaki, Hiroto; Tamura, Masayuki; Darman, Yury; Andronov, Vladimir; Parilov, Mikhail P.; Nagendran, Meenakshi; Higuchi, Hiroyoshi

doi:10.1111/j.1440-1703.2004.00684.x

Cited by 45 publications

(39 citation statements)

References 26 publications

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“…Successive loss of crucial stepping stones in migration routes can lead to the collapse of migration networks, so that migratory movements between breeding and non‐breeding grounds could be completely impeded (Shimazaki et al. ). Thus, it is necessary to put an emphasis on protecting critical sites used as stepping stones in migration to enhance the connectivity between isolated sites.…”

Section: Discussionmentioning

confidence: 99%

Loss of functional connectivity in migration networks induces population decline in migratory birds

Wang

et al. 2019

Ecological Applications

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Migratory birds rely on a habitat network along their migration routes by temporarily occupying stopover sites between breeding and non‐breeding grounds. Removal or degradation of stopover sites in a network might impede movement and thereby reduce migration success and survival. The extent to which the breakdown of migration networks, due to changes in land use, impacts the population sizes of migratory birds is poorly understood. We measured the functional connectivity of migration networks of waterfowl species that migrate over the East Asian‐Australasian Flyway from 1992 to 2015. We analysed the relationship between changes in non‐breeding population sizes and changes in functional connectivity, while taking into account other commonly considered species traits, using a phylogenetic linear mixed model. We found that population sizes significantly declined with a reduction in the functional connectivity of migration networks; no other variables were important. We conclude that the current decrease in functional connectivity, due to habitat loss and degradation in migration networks, can negatively and crucially impact population sizes of migratory birds. Our findings provide new insights into the underlying mechanisms that affect population trends of migratory birds under environmental changes. Establishment of international agreements leading to the creation of systematic conservation networks associated with migratory species’ distributions and stopover sites may safeguard migratory bird populations.

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Section: Discussionmentioning

confidence: 99%

Loss of functional connectivity in migration networks induces population decline in migratory birds

Wang

et al. 2019

Ecological Applications

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“…Telemetry studies that collect individual time series on movements of migratory species offer capacity to construct network models that incorporate movements of individual animals between discrete areas (Shimazaki et al. , Rhodes et al. , Knight et al.…”

Section: Introductionmentioning

confidence: 99%

Spatially explicit network analysis reveals multi‐species annual cycle movement patterns of sea ducks

Lamb

Paton

Osenkowski

et al. 2019

Ecological Applications

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Conservation of long‐distance migratory species poses unique challenges. Migratory connectivity, that is, the extent to which groupings of individuals at breeding sites are maintained in wintering areas, is frequently used to evaluate population structure and assess use of key habitat areas. However, for species with complex or variable annual cycle movements, this traditional bimodal framework of migratory connectivity may be overly simplistic. Like many other waterfowl, sea ducks often travel to specific pre‐ and post‐breeding sites outside their nesting and wintering areas to prepare for migration by feeding extensively and, in some cases, molting their flight feathers. These additional migrations may play a key role in population structure, but are not included in traditional models of migratory connectivity. Network analysis, which applies graph theory to assess linkages between discrete locations or entities, offers a powerful tool for quantitatively assessing the contributions of different sites used throughout the annual cycle to complex spatial networks. We collected satellite telemetry data on annual cycle movements of 672 individual sea ducks of five species from throughout eastern North America and the Great Lakes. From these data, we constructed a multi‐species network model of migratory patterns and site use over the course of breeding, molting, wintering, and migratory staging. Our results highlight inter‐ and intra‐specific differences in the patterns and complexity of annual cycle movement patterns, including the central importance of staging and molting sites in James Bay, the St. Lawrence River, and southern New England to multi‐species annual cycle habitat linkages, and highlight the value of Long‐tailed Ducks (Calengula haemalis) as an umbrella species to represent the movement patterns of multiple sea duck species. We also discuss potential applications of network migration models to conservation prioritization, identification of population units, and integrating different data streams.

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“…Network models differ from traditional metapopulation models by focusing on the degree of connectivity among multiple seasonal sites that may not contain resident populations, and where each site potentially receives inputs of individuals from several locations (Taylor and Norris 2010). They have been employed in studying bird migration, but have not been used to study bat migration (Weber et al 1999, Shimazaki et al 2004, Downs and Horner 2008, Kolzsch and Blasius 2008, Minor and Urban 2008. To our knowledge, we are the first to employ this modeling technique for bat migration.…”

Section: Introductionmentioning

confidence: 99%

Moving across the border: modeling migratory bat populations

et al. 2013

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Abstract. The migration of animals across long distances and between multiple habitats presents a major challenge for conservation. For the migratory Mexican free-tailed bat (Tadarida brasiliensis mexicana), these challenges include identifying and protecting migratory routes and critical roosts in two countries, the United States and Mexico. Knowledge and conservation of bat migratory routes is critical in the face of increasing threats from climate change and wind turbines that might decrease migratory survival. We employ a new modeling approach for bat migration, network modeling, to simulate migratory routes between winter habitat in southern Mexico and summer breeding habitat in northern Mexico and the southwestern United States. We use the model to identify key migratory routes and the roosts of greatest conservation value to the overall population. We measure roost importance by the degree to which the overall bat population declined when the roost was removed from the model. The major migratory routes-those with the greatest number of migrants-were between winter habitat in southern Mexico and summer breeding roosts in Texas and the northern Mexican states of Sonora and Nuevo Leon. The summer breeding roosts in Texas, Sonora, and Nuevo Leon were the most important for maintaining population numbers and network structure -these are also the largest roosts. This modeling approach contributes to conservation efforts by identifying the most influential areas for bat populations, and can be used to as a tool to improve our understanding of bat migration for other species. We anticipate this approach will help direct coordination of habitat protection across borders.

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Network analysis of potential migration routes for Oriental White Storks (Ciconia boyciana)

Cited by 45 publications

References 26 publications

Loss of functional connectivity in migration networks induces population decline in migratory birds

Loss of functional connectivity in migration networks induces population decline in migratory birds

Spatially explicit network analysis reveals multi‐species annual cycle movement patterns of sea ducks

Moving across the border: modeling migratory bat populations

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