華山藝文特區及周邊野鴿族群動態

目前台北市華山藝文特區附近居民反映當地野鴿族群過多，造成公共衛生不良等問題，促使國內在台北市華山地區首推野鴿節育計畫；然而台灣的野鴿分布現況與族群動態等基礎生態資料皆尚未有全面性調查，且鴿群若流動率高恐會影響節育成效。因此本研究使用色環標記法，以華山鴿群及鄰近5個區域鴿群為目標族群，目的為調查各區鴿群存活率、再現率、各區鴿群間個體流動率。Cormack-Jolly-Seber模式分析結果顯示各區鴿群月存活率估算值以雙連站最高(0.97± 0.01)，華山次之(0.96± 0.01)，自由廣場最低(0.90± 0.01)。Multi-state模式估算結果顯示各區鴿群整體流動率低，特別是位處中心點的華山野鴿流動率(0.002 ±0.001)，說明該區鴿群忠誠度高，可排除針對單一區域鴿群節育而產生其他區新加入個體使成效不佳之可能，推測使野鴿流動率低的關鍵因素是民眾提供各區鴿群充沛且穩定的食物資源，未來需進一步研究探討之。

關鍵字

野鴿；族群動態； multi-state 模式；流動率；存活率

並列摘要

The overabundant feral pigeon population at Taipei Huashan Creative Park has caused public health risks to the residents, prompting the Taipei City Animal Protection Office to carry out population control project. However, there’s no complete study of feral pigeon population distribution, dynamics, and basic ecology in Taiwan currently. Besides, several studies have shown that turnover rates between adjacent populations may affect the control efficiency. Thus, I used color-banding, and estimated movements, resight and survival probabilities of populations at the Park and five nearby meta-populations. I also made the map of feral pigeon distribution island wide from the Bird Report Database of Chinese Wild Bird Federation (CWBF). Results of Cormack-Jolly-Seber model indicated that every population has high monthly survival probability. Population at Shuanglian is the highest(0.97± 0.01), followed by the Huashan Creative Park(0.96± 0.01), and Liberty Square is the lowest(0.90± 0.01). Multi-state models showed that there’s barely movement between populations. Despite being located in the center of the studies areas, population at Huashan areas has the lowest turnover rate(0.002 ±0.001), implying that they have high site fidelity. The concern about high turnover rate may dilute efficiency of population control at Huashan could be excluded. The main reason for the low turnover of all populations may result from the abundant and stable food resources provided by the public, which needs further study.

並列關鍵字

Feral pigeon ； population dynamics ； multi-state model ； turnover rate ； survival rate

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