Across borders: External factors and prior behaviour influence North Pacific albatross associations with fishing vessels

被引:18
|
作者
Orben, Rachael A. [1 ]
Adams, Josh [2 ]
Hester, Michelle [3 ]
Shaffer, Scott A. [4 ]
Suryan, Robert M. [5 ]
Deguchi, Tomohiro [6 ,7 ]
Ozaki, Kiyoaki [6 ]
Sato, Fumio [6 ]
Young, Lindsay C. [8 ]
Clatterbuck, Corey [9 ]
Conners, Melinda G. [10 ]
Kroodsma, David A. [11 ]
Torres, Leigh G. [12 ]
机构
[1] Oregon State Univ, Hatfield Marine Sci Ctr, Dept Fisheries & Wildlife, Newport, OR 97365 USA
[2] US Geol Survey, Western Ecol Res Ctr, Santa Cruz Field Stn, Santa Cruz, CA USA
[3] Oikonos Ecosyst Knowledge, Waimanalo, HI USA
[4] San Jose State Univ, Dept Biol Sci, One Washington Sq, San Jose, CA 95192 USA
[5] NOAA Fisheries, Alaska Fisheries Sci Ctr, Auk Bay Labs, Ted Stevens Marine Res Inst, Juneau, AK USA
[6] Yamashina Inst Ornithol, Div Avian Conservat, Abiko, Chiba, Japan
[7] Univ Hyogo, Grad Sch Reg Resource Management, Toyooka, Hyogo, Japan
[8] Pacific Rim Conservat, Honolulu, HI USA
[9] San Diego State Univ, Dept Biol, San Diego, CA 92182 USA
[10] SUNY Stony Brook, Sch Marine & Atmospher Sci, Stony Brook, NY 11794 USA
[11] Global Fishing Watch, Washington, DC USA
[12] Oregon State Univ, Dept Fisheries & Wildlife, Marine Mammal Inst, Newport, OR USA
基金
美国海洋和大气管理局;
关键词
seabird tracking; boosted regression tress; bycatch; dynamic ocean management; fisheries; high seas; longline; trawl;
D O I
10.1111/1365-2664.13849
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Understanding encounters between marine predators and fisheries across national borders and outside national jurisdictions offers new perspectives on unwanted interactions to inform ocean management and predator conservation. Although seabird-fisheries overlap has been documented at many scales, remote identification of vessel encounters has lagged because vessel movement data often are lacking. Here, we reveal albatrosses-fisheries associations throughout the North Pacific Ocean. We identified commercial fishing operations using Global Fishing Watch data and algorithms to detect fishing vessels. We compiled GPS tracks of adult black-footed Phoebastria nigripes and Laysan Phoebastria immutabilis albatrosses, and juvenile short-tailed albatrosses Phoebastria albatrus. We quantified albatrosses-vessel encounters based on the assumed distance that birds perceive a vessel (<= 30 km), and associations when birds approached vessels (<= 3 km). For each event we quantified bird behaviour, environmental conditions and vessel characteristics and then applied Boosted Regression Tree models to identify drivers and the duration of these associations. In regions of greater fishing effort short-tailed and Laysan albatrosses associated with fishing vessels more frequently. However, fishing method (e.g. longline, trawl) and flag nation did not influence association prevalence nor the duration short-tailed albatrosses attended fishing vessels. Laysan albatrosses were more likely to approach longer vessels. Black-footed albatrosses were the most likely to approach vessels (61.9%), but limited vessel encounters (n = 21) prevented evaluation of meaningful explanatory models for this species of high bycatch concern. Temporal variables (time of day and month) and bird behavioural state helped explain when short-tailed albatrosses were in close proximity to a vessel, but environmental conditions were more important for explaining interaction duration. Laysan albatrosses were more likely to associate with vessels while searching and during the last 60% (by time) of their trips. Our results provide specific species-fisheries insight regarding contributing factors of high-risk associations that could lead to bycatch of albatrosses within national waters and on the high seas. Policy implications. Given the availability of Global Fishing Watch data, our analysis can be applied to other marine predators-if tracking data are available-to identify spatio-temporal patterns, vessel specific attributes and predator behaviours associated with fishing vessel associations, thus enabling predictive modelling and targeted mitigation measures.
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页码:1272 / 1283
页数:12
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