2011
DOI: 10.1016/j.ecolmodel.2010.09.016
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The influences of climate and hydrology on population dynamics of waterbirds in the lower Murrumbidgee River floodplains in Southeast Australia: Implications for environmental water management

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Cited by 55 publications
(38 citation statements)
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“…In the subtropical monsoon system of Poyang Lake, waterbird abundance fluctuated considerably, as has been described for other systems such as coastal lagoons (Canepuccia et al ., ), semi‐arid inland floodplains (Wen et al ., ) and mountain lakes (Mascitti & Bonaventura, ). Our analysis has shown that the variation of wintering waterbird abundance in PLNNR was clearly linked to a number of primary abiotic factors, including lake water level, which is the focus of this study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the subtropical monsoon system of Poyang Lake, waterbird abundance fluctuated considerably, as has been described for other systems such as coastal lagoons (Canepuccia et al ., ), semi‐arid inland floodplains (Wen et al ., ) and mountain lakes (Mascitti & Bonaventura, ). Our analysis has shown that the variation of wintering waterbird abundance in PLNNR was clearly linked to a number of primary abiotic factors, including lake water level, which is the focus of this study.…”
Section: Discussionmentioning
confidence: 99%
“…We compared the distribution of the annual time series of waterbird abundance by fitting two probability distribution functions (PDF), namely Poisson and negative binomial. Poisson and negative binomial are the two most common distributions for species count data in ecology (Bolker et al ., ; Wen et al ., ). The results (data not shown in this study) indicated that the negative binomial distribution was a better choice.…”
Section: Methodsmentioning
confidence: 99%
“…Recently, additional methodological developments and the availability of implemented computer programs made GAMs increasingly popular in practical research, mainly in the public health and epidemiology fields (Bayentin et al 2010;Cans and Lavergne 1995;Leitte et al 2009;Rocklöv and Forsberg 2008;Vieira et al 2009) and in environmental studies (Borchers et al 1997;Wen et al 2011;Wood and Augustin 2002). In the field of meteorology, GAMs were used to model the effect of traffic and meteorology on air quality (Bertaccini et al 2012), to predict air temperature from satellite surface temperatures (Kloog et al 2012), and to model mean temperature in mountainous regions (Guan et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have demonstrated that environmental variables such as wetland hydrology and landscape can alter waterbird abundance in different ways (Alexander & Hepp, 2014;Brandolin & Blendinger, 2016;Tavares, Guadagnin, de Moura, Siciliano, & Merico, 2015;Wen, Rogers, Saintilan, & Ling, 2011). For example, fluctuations in water depth influence the physical condition of waterbird habitats (e.g., the establishment of mudflats), affect food availability, and prey vulnerability (Bellio & Kingsford, 2013;Lantz, Gawlik, & Cook, 2011;Timmermans, Badzinski, & Ingram, 2008;Y.…”
Section: Introductionmentioning
confidence: 99%