“…pseudofluitans (Wood et al 2012a). The river is typically bordered by terrestrial pasture fields dominated by perennial ryegrass Lolium perenne , creeping bentgrass Agrostis stolonifera and Yorkshire fog Holcus lanatus , which frequently become water‐logged during winter (Wood et al 2013a). Predation risk for adult swans is very low and does not differ between habitat types (< 3% of all mortality; Brown et al 1992).…”
Section: Methodsmentioning
confidence: 99%
“…Herbivorous waterfowl (Order: Anseriformes) within shallow river catchments move seasonally between feeding in the river itself to adjacent terrestrial pastures, and thus offer an ideal system with which to examine the factors which influence forager movements (Mason and Macdonald 2000, Wood et al 2013a). Seasonal changes in the relative profitability of aquatic and terrestrial food resources are believed to cause a diet (and thus habitat) shift in non‐breeding mute swans Cygnus olor (Wood et al 2013a). These swans exhibit a seasonal switch between foraging in the river on submerged aquatic plants in summer and autumn, and foraging in terrestrial pasture fields on pasture grasses in winter and spring (Wood et al 2013a).…”
mentioning
confidence: 99%
“…Seasonal changes in the relative profitability of aquatic and terrestrial food resources are believed to cause a diet (and thus habitat) shift in non‐breeding mute swans Cygnus olor (Wood et al 2013a). These swans exhibit a seasonal switch between foraging in the river on submerged aquatic plants in summer and autumn, and foraging in terrestrial pasture fields on pasture grasses in winter and spring (Wood et al 2013a). Swans enter the river between April and May, and may cause localised grazing damage thereafter (Wood et al 2012a, 2013b).…”
mentioning
confidence: 99%
“…Thus at higher water velocities a forager must expend more energy swimming (Prange and Schmidt‐Nielsen 1970, Butler 2000, Bejan and Marden 2006). Indeed, the period when non‐breeding swans use the river coincides with the lowest seasonal water velocity values (Wood et al 2013a).…”
Daunt, Francis; O'Hare, Matthew T.. 2013. Go with the flow: water velocity regulates herbivore foraging decisions in river catchments. Oikos, 122 (12). 1720-1729. 10.1111/j.1600-0706.2013.00592.x Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.
“…pseudofluitans (Wood et al 2012a). The river is typically bordered by terrestrial pasture fields dominated by perennial ryegrass Lolium perenne , creeping bentgrass Agrostis stolonifera and Yorkshire fog Holcus lanatus , which frequently become water‐logged during winter (Wood et al 2013a). Predation risk for adult swans is very low and does not differ between habitat types (< 3% of all mortality; Brown et al 1992).…”
Section: Methodsmentioning
confidence: 99%
“…Herbivorous waterfowl (Order: Anseriformes) within shallow river catchments move seasonally between feeding in the river itself to adjacent terrestrial pastures, and thus offer an ideal system with which to examine the factors which influence forager movements (Mason and Macdonald 2000, Wood et al 2013a). Seasonal changes in the relative profitability of aquatic and terrestrial food resources are believed to cause a diet (and thus habitat) shift in non‐breeding mute swans Cygnus olor (Wood et al 2013a). These swans exhibit a seasonal switch between foraging in the river on submerged aquatic plants in summer and autumn, and foraging in terrestrial pasture fields on pasture grasses in winter and spring (Wood et al 2013a).…”
mentioning
confidence: 99%
“…Seasonal changes in the relative profitability of aquatic and terrestrial food resources are believed to cause a diet (and thus habitat) shift in non‐breeding mute swans Cygnus olor (Wood et al 2013a). These swans exhibit a seasonal switch between foraging in the river on submerged aquatic plants in summer and autumn, and foraging in terrestrial pasture fields on pasture grasses in winter and spring (Wood et al 2013a). Swans enter the river between April and May, and may cause localised grazing damage thereafter (Wood et al 2012a, 2013b).…”
mentioning
confidence: 99%
“…Thus at higher water velocities a forager must expend more energy swimming (Prange and Schmidt‐Nielsen 1970, Butler 2000, Bejan and Marden 2006). Indeed, the period when non‐breeding swans use the river coincides with the lowest seasonal water velocity values (Wood et al 2013a).…”
Daunt, Francis; O'Hare, Matthew T.. 2013. Go with the flow: water velocity regulates herbivore foraging decisions in river catchments. Oikos, 122 (12). 1720-1729. 10.1111/j.1600-0706.2013.00592.x Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.
“…Boats were sometimes used. Large Anatidae (like the swans and geese considered in this study) usually form large flocks during the non-breeding season, allowing their easy identification and counting [29]. Surveys were conducted by staffs from the nature reserve and by the authors using the same survey methods.…”
Understanding and predicting animal distribution is one of the most elementary objectives in ecology and conservation biology. Various environmental factors, such as habitat area, habitat quality, and climatic factors, play important roles in shaping animal distribution. However, the mechanism underlying animal distribution remains unclear. Using generalized additive mixed models, we analyzed the effects of environmental factors and years on the population of five Anatidae species: Tundra swan, swan goose, bean goose, greater and lesser white-fronted goose, across their wintering grounds along the Middle and Lower Yangtze River floodplain (MLYRF) during 2001-2016. We found that: (1) All populations decreased except for that of the bean goose. (2) The patch area was not included in any of the best models. (3) NDVI was the most important factor in determining the abundance of grazing geese. (4) Climatic factors had no significant effect on the species in question. Our results suggest that, when compared to habitat area, habitat quality is better in predicting Anatidae distribution on the basin scale. Thus, to better conserve wintering Anatidae, we should keep a sufficiently large area at the single lake, as well as high quality habitat over the whole basin. This might be achieved by developing a more strategic water plan for the MLYRF.
Freshwater ecosystems are endangered, underfunded and understudied, making new methods such as passive acoustic monitoring (PAM) essential for improving the efficiency and effectiveness of data collection. However, many challenges are still to be addressed with PAM: difficulty in accessing research sites, the logistics of implementing large‐scale studies and the invasiveness of data collection. When combined with PAM and other sensing strategies, mobile robotics are a promising solution to directly address these challenges. In this paper, we integrate water surface and underwater acoustic monitoring equipment onto a prototype unmanned aerial‐aquatic vehicle (UAAV) capable of sailing and flight (SailMAV). Twelve autonomous sailing missions were run on Lake Vrana, Croatia, during which acoustic data were collected, and the ability of the UAAV to facilitate the collection of acoustic data demonstrated. Data were simultaneously collected using standard recording methods on buoys and banksides to provide a comparative approach. Acoustic indices were used to analyse the soundscape of underwater acoustic data and BirdNET (a deep artificial neural network) was used on water surface datasets to determine bird species composition. Results show higher species richness and call abundance from UAAV surveys and high site dissimilarity owing to turnover between stationary and UAAV methods. This highlights the success of the UAAV in detecting biodiversity and the complementarity of these methods in providing a broad picture of the biodiversity of freshwater ecosystems. Increased bird diversity and underwater acoustic activity in protected areas demonstrate the benefits of protecting freshwater ecosystems; however, site dissimilarity driven by turnover highlights the importance of protecting the entire ecosystem. We show how, by integrating PAM and a UAAV, we can overcome some of the current challenges in freshwater biodiversity monitoring, improving accessibility, increasing spatial scale and coverage, and reducing invasiveness.
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