Problems with combining modelling and social science approaches to understand artisanal fisheries bycatch

Author:

Villar Daniel A.1ORCID,Gutiérrez Tito Edwin R.23,Velásquez‐Noriega Paola4,Paca‐Condori Anahi Cosky456,Moreno Terrazas Edmundo G.3,Balcón Cuno Alfredo7,Hinojosa Cárdenas Ronald7,Villanueva Carmen8,Chapman Patrick9,Chiaverini Luca1,Marino Jorgelina1,Gosler Andrew G.110

Affiliation:

1. Department of Biology University of Oxford Oxford UK

2. Parque Nacional Bahuaja‐Sonene, Servicio Nacional de Áreas Naturales Protegidas Por el Estado Puerto Maldonado Peru

3. Facultad de Ciencias Biológicas Universidad Nacional del Altiplano Puno Peru

4. Colección Boliviana de Fauna, Museo Nacional de Historia Natural La Paz Bolivia

5. Academia Nacional de Ciencia de Bolivia‐Departamental Santa Cruz Fundación Universidad Privada de Santa Cruz de la Sierra Santa Cruz de la Sierra Bolivia

6. Aves Bolivianas Santa Cruz de la Sierra Bolivia

7. Reserva Nacional del Titicaca, Servicio Nacional de Áreas Naturales Protegidas Por el Estado Puno Peru

8. Laboratorio Continental Instituto del Mar del Perú Puno Peru

9. Independent Researcher Gateshead UK

10. Institute of Human Science University of Oxford Oxford UK

Abstract

AbstractAimArtisanal fisheries account for 40% of the world's fisheries catch, yet its environmental impacts remain poorly understood. This is especially the case in developing countries. In this study, we sought to integrate Local Fisher's Knowledge with distribution modelling to estimate the annual bycatch of Titicaca Grebe (Rollandia microptera), an endangered endemic bird from Lake Titicaca whose main anthropogenic threat is bycatch.LocationLake Titicaca, Peru and Bolivia.MethodsWe conducted transect and point counts of fishing nets in March–September 2022 and conducted interviews with fishers across the Lake Titicaca region. Using bathymetry, distance from shore, distance from a settlement, distance from the protected area, presence/absence of aquaculture, distance from aquaculture, and wetland cover, we constructed a distribution model of fisheries using maximum entropy modelling. We conducted interviews with fishers asking about the frequency of grebe bycatch and conducted short‐term monitoring at various sites while conducting transect points for dead grebes.ResultsWe estimate 3270 km2 of the surface area of Lake Titicaca is used for fishing, which amounts to 39.40% of the lake's surface area. The area under the curve (AUC) of the distribution model was 0.89 and the True Skill Statistic was 0.67, which suggests maximum entropy modelling can model fisheries occurrence. The results of our interviews suggested a biologically implausible large number of grebes caught as bycatch annually. The cultural context of the interviews, including potential influences of non‐response and social‐desirability bias, being with fishers who often view the Titicaca Grebe as a nuisance species, might have caused over‐reporting of bycatch and hence led to these implausible figures.Main ConclusionsIt is possible to map fisheries using distribution models as one might with species. However, obtaining accurate measures of fisheries bycatch through interviews is more difficult, due to cultural factors which affect the accuracy in fisher's responses. While we hope that this method provides a low‐cost alternative to monitoring, it is not a suitable replacement for it.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3