Small-Scale Spatial Variation in Population Dynamics and Fishermen Response in a Coastal Marine Fishery

被引:17
|
作者
Wilson, Jono R. [1 ]
Kay, Matthew C. [2 ]
Colgate, John [3 ]
Qi, Roy [4 ]
Lenihan, Hunter S. [1 ]
机构
[1] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93106 USA
[2] Univ Calif Santa Barbara, Earth Res Inst, Santa Barbara, CA 93106 USA
[3] Commercial Fishermen Santa Barbara, Santa Barbara, CA USA
[4] Univ Calif Santa Barbara, Coll Creat Studies, Santa Barbara, CA 93106 USA
来源
PLOS ONE | 2012年 / 7卷 / 12期
关键词
LIFE-HISTORY; MANAGEMENT; CALIFORNIA; PATTERNS; REPRODUCTION; ROCKFISH; HABITAT; GROWTH;
D O I
10.1371/journal.pone.0052837
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A major challenge for small-scale fisheries management is high spatial variability in the demography and life history characteristics of target species. Implementation of local management actions that can reduce overfishing and maximize yields requires quantifying ecological heterogeneity at small spatial scales and is therefore limited by available resources and data. Collaborative fisheries research (CFR) is an effective means to collect essential fishery information at local scales, and to develop the social, technical, and logistical framework for fisheries management innovation. We used a CFR approach with fishing partners to collect and analyze geographically precise demographic information for grass rockfish (Sebastes rastrelliger), a sedentary, nearshore species harvested in the live fish fishery on the West Coast of the USA. Data were used to estimate geographically distinct growth rates, ages, mortality, and length frequency distributions in two environmental subregions of the Santa Barbara Channel, CA, USA. Results indicated the existence of two subpopulations; one located in the relatively cold, high productivity western Channel, and another in the relatively warm, low productivity eastern Channel. We parameterized yield per recruit models, the results of which suggested nearly twice as much yield per recruit in the high productivity subregion relative to the low productivity subregion. The spatial distribution of fishing in the two environmental subregions demonstrated a similar pattern to the yield per recruit outputs with greater landings, effort, and catch per unit effort in the high productivity subregion relative to the low productivity subregion. Understanding how spatial variability in stock dynamics translates to variability in fishery yield and distribution of effort is important to developing management plans that maximize fishing opportunities and conservation benefits at local scales.
引用
收藏
页数:11
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