Abstract

BackgroundThe habitat use and foraging behaviors of waterbirds are closely related to the distribution and abundance of their food resources. Reductions in food supply can cause waterbirds to shift their habitats and adjust their foraging behaviors to meet their nutritional requirements and increase fitness. Seasonal withdraw of the water levels in the river-connected lakes in the middle and lower Yangtze River floodplain provides abundant food resources for the wintering Greater White-fronted Goose (Anser albifrons). Sedge (Carex) meadows are critical foraging habitats for herbivorous waterbirds in the hydro-fluctuation belt, which changes with hydrological conditions and climate. This study aimed to examine the behavioral responses of the Greater White-fronted Goose to temporal- spatial changes of food availability in the Sedge meadows.MethodsFields surveys were carried out at Shengjin Lake from November 2017 to April 2018. According to the phenology of Shengjin Lake, we divided the wintering season into three periods. The food density, minimum temperature, food items, grass height, and number of foraging geese were surveyed, and samples of the foraging behavior were collected. We analyzed the relationship of the foraging behavior and habitat use relative to the food resources, using correlation and linear regression analyses.ResultsAlong with the temporal-spatial variation and exploitation of food resources, the food abundance and items varied widely among the foraging sites. Over the whole wintering period, the foraging habitat with the highest utilization rate was the meadows, followed by the paddy fields, and then mudflats. Furthermore, the utilization of the meadows showed a bimodal distribution trend, while the paddy fields showed a unimodal trend, and a decreasing trend was seen in the mudflats over the whole wintering period. The results of the generalized linear model showed that the foraging rate was related to the food density and grass height, with a linearly increasing trend during the winter.ConclusionsWith the change of food resources in the three habitats, the habitats used by the Greater White-fronted Geese shifted from meadows in the hydro-fluctuation belt to the paddy fields, and then back to the meadows. The time budget for foraging activities increased correspondingly, and there was an increase in the foraging rate to compensate for food shortages.

Highlights

  • The habitat use and foraging behaviors of waterbirds are closely related to the distribution and abundance of their food resources

  • This study focuses on two assumptions: (1) under the influence of spatial and temporal variations of their food supplies in fluctuating zones, when the food items are less palatable, the Greater White-fronted Goose will forage in paddy fields and increase their activity time budgets for foraging, to acquire more food; and (2) there are some key factors influencing the efficiency of feeding, including grass height, food density, and temperature, of which, food density is thought to be the most important factor influencing foraging rates

  • It was concluded that there was a gradual increase in food density followed by a decrease in the meadows while in the paddy fields and mudflats there was a gradual decrease in food density

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Summary

Introduction

The habitat use and foraging behaviors of waterbirds are closely related to the distribution and abundance of their food resources. This study aimed to examine the behavioral responses of the Greater White-fronted Goose to temporal- spatial changes of food availability in the Sedge meadows. Wintering waterbirds utilize effective behavior patterns to obtain enough food supplies from their wetland habitats, but these can be affected by both food abundance and availability. Waterbirds must change their wintering habitats and behavior patterns in order to obtain sufficient energy during this period (Holm 2002; Kuwae et al 2010). Changes in their food items on a temporal-spatial scale affect the selection of their foraging habitats (Faragó and Hangya 2012) and behaviors (Maheswaran and Rahmani 2001; Recher and Davis 2018)

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