Variations in the spring migration of Eurasian Woodcock (Scolopax rusticola L.) in Hungary

IF 0.4 Q4 ORNITHOLOGY Ornis Hungarica Pub Date : 2023-06-01 DOI:10.2478/orhu-2023-0009
A. Bende, S. Faragó, Richárd László
{"title":"Variations in the spring migration of Eurasian Woodcock (Scolopax rusticola L.) in Hungary","authors":"A. Bende, S. Faragó, Richárd László","doi":"10.2478/orhu-2023-0009","DOIUrl":null,"url":null,"abstract":"Abstract We investigated the spatial and temporal patterns of migration of Eurasian Woodcock (n=23,539 specimens) collected in Hungary during spring sampling (2010–2019) in the framework of the Woodcock Bag Monitoring. There were differences in the temporal course of the spring migration of the species between the western and eastern regions of Hungary. In the western Hungarian counties, migration started earlier in all cases, while in Borsod-Abaúj-Zemplén county the main migration period – i.e. the period between the 25% and 75% cumulative sampling thresholds – started on average one week later than in Somogy county. We investigated the influence of weather factors on the spatial and temporal pattern of migration, in addition to geographical causes, based on the distribution of Péczely’s macrosynoptic situations recorded the week before and after the migration peak. In years free of weather extremes, the migration period was characterised by neutral (80.0%) macrosynoptic situations, with unfavourable (9.5%) and favourable (10.5%) conditions occurring less frequently. In the years with weather anomalies (2013, 2016, 2018), unfavourable macrosynoptic situations (81.3%) determined the spring migration characteristics. Weather anomalies (macrosynoptic conditions with gale-force winds and heavy snowfall) affected the timing of spring migration, but regional differences were observed in all years regardless of weather conditions, suggesting that spring migration of Woodcock is phase-delayed in the southern Transdanubian and north-eastern regions of Hungary.","PeriodicalId":35966,"journal":{"name":"Ornis Hungarica","volume":"12 5","pages":"133 - 146"},"PeriodicalIF":0.4000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ornis Hungarica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/orhu-2023-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ORNITHOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract We investigated the spatial and temporal patterns of migration of Eurasian Woodcock (n=23,539 specimens) collected in Hungary during spring sampling (2010–2019) in the framework of the Woodcock Bag Monitoring. There were differences in the temporal course of the spring migration of the species between the western and eastern regions of Hungary. In the western Hungarian counties, migration started earlier in all cases, while in Borsod-Abaúj-Zemplén county the main migration period – i.e. the period between the 25% and 75% cumulative sampling thresholds – started on average one week later than in Somogy county. We investigated the influence of weather factors on the spatial and temporal pattern of migration, in addition to geographical causes, based on the distribution of Péczely’s macrosynoptic situations recorded the week before and after the migration peak. In years free of weather extremes, the migration period was characterised by neutral (80.0%) macrosynoptic situations, with unfavourable (9.5%) and favourable (10.5%) conditions occurring less frequently. In the years with weather anomalies (2013, 2016, 2018), unfavourable macrosynoptic situations (81.3%) determined the spring migration characteristics. Weather anomalies (macrosynoptic conditions with gale-force winds and heavy snowfall) affected the timing of spring migration, but regional differences were observed in all years regardless of weather conditions, suggesting that spring migration of Woodcock is phase-delayed in the southern Transdanubian and north-eastern regions of Hungary.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
欧亚山鸡在匈牙利春季迁徙的变化
在“伍德考克袋监测”框架下,研究了2010-2019年春季在匈牙利采集的欧亚伍德考克(n=23,539)的迁徙时空格局。在匈牙利西部和东部地区,该物种春季迁徙的时间过程存在差异。在匈牙利西部各县,所有情况下的人口迁移都开始得较早,而Borsod-Abaúj-Zemplén县的主要人口迁移期(即25%至75%累积抽样阈值之间的时期)平均比Somogy县晚一周开始。基于人口迁移高峰前后一周的宏观天气情况分布,探讨了天气因素对人口迁移时空格局的影响,以及地理因素的影响。在没有极端天气的年份,迁徙期的特征是中性(80.0%)宏观天气情况,不利(9.5%)和有利(10.5%)条件发生的频率较低。在气候异常年份(2013年、2016年和2018年),不利的宏观天气条件(81.3%)决定了春季迁徙特征。天气异常(大风和大雪的宏观天气条件)影响春季迁徙的时间,但在所有年份都观察到区域差异,无论天气条件如何,这表明伍德考克在匈牙利外多瑙河南部和东北部地区的春季迁徙是阶段性延迟的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Ornis Hungarica
Ornis Hungarica Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
20 weeks
期刊最新文献
Scavenging by young tortoises (Testudo sp.) could induce their predation by the Eurasian Eagle-Owl (Bubo bubo) Variation in small mammal food resource niche metrics of Western Barn Owl (Tyto alba) at the nesting pair and local population level Breeding and conservation status of the Western Barn Owl (Tyto alba) in Zala County, Hungary. An overview of 39 years of data First record of brown plumage aberration in Indian Pied Starling (Gracupica contra) from India Investigation of roadkilled Western Barn Owls (Tyto alba) in Csanádi-hát region (SE Hungary)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1