对特纳2017的回应

IF 1.7 Q2 GEOGRAPHY Geo-Geography and Environment Pub Date : 2018-11-12 DOI:10.1002/geo2.48
Amy M. Schueller, Robert T. Leaf, Raymond M. Mroch III, Geneviève M. Nesslage
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Therefore, we feel compelled to comment on Turner's (<span>2017</span>) paper titled “Smaller size-at-age menhaden with coastal warming and fishing intensity.” Our comment is based on three issues: misstatements regarding the stocks’ assessment and management, inappropriate analyses, and limited acknowledgment of alternative hypotheses for the putative patterns.</p><p>Turner (<span>2017</span>) made several erroneous statements about US menhaden assessment and management. First, neither value described as “MSY” in Turner (<span>2017</span>) represents an accurate or reliable estimate of MSY for menhaden. The value labelled “MSY Atlantic” in Figure 1 and throughout the text is the total allowable catch, based on average landings from 2009 to 2011 (ASMFC, <span>2012</span>). The value labelled “GOM MSY” in Figure 1 and throughout the text is the estimate of biomass at MSY (B<sub>MSY</sub>) generated by a surplus production model not adopted for use in management (SEDAR, <span>2013</span>). Developing MSY estimates for forage fish such as menhaden is problematic (SEDAR, <span>2013</span>) and currently is not accepted for determining stock status on either coast. The model used to assess both species, the NMFS Beaufort Assessment Model, is a statistical catch-at-age model that estimates spawner-per-recruit reference points for management (SEDAR, <span>2013</span>, <span>2015</span>). Additionally, landings of both species shown in Figure 1 were inflated by a factor of 1,000.1 Turner's conclusions regarding variation in size-at-age with fishing pressure (Figure 4, Table III) are not valid because incorrect estimates of menhaden MSY and landings were used in the analysis.</p><p>Inappropriate analyses included treatment of the data and model choice. By using mean estimates of size-at-age, analyses artificially reduced the estimated inter-annual variance and ignored potentially confounding factors. Using mean estimates serves to allocate the error variation to the linear regression component of the model, inflating the amount of variance explained. Reanalysing the Gulf data, we find that Turner's model formulation inflates the variance explained from 292% to 1,267%. By including the full weight- and length-at-age dataset, <i>R</i><sup>2</sup> values range from &lt;0.001 to 0.128 (Table S1). Such poor estimation of annual changes in length- and weight-at-age weakens support for Turner's conclusions. Also, menhaden demonstrate considerable spatial variation in their distribution by size and age that affects availability of older ages to the fishery. Proper interpretation of these fishery-dependent data must account for fleet dynamics, especially for Atlantic menhaden, which was historically caught coastwide but now between New Jersey and Virginia. Beyond treatment of data, we disagree with the use of a linear model to understand the inter-annual dynamics of length- and weight-at-age. A qualitative examination of the residual pattern indicates that a linear model does not properly incorporate the biological and environmental dynamics.</p><p>Turner's paper interpreted results with a narrow view on possible factors affecting size-at-age over time and failed to fully acknowledge alternative hypotheses. Density dependence, fishing mortality, selectivity, and environmental factors all have the potential to influence size-at-age. Turner's finding that not all age classes decreased in size is an important piece of evidence. Broad-scale mechanisms such as density and environmental factors (i.e., temperature) would be expected to cause changes on all age classes, while factors only acting on specific age classes (i.e., fishing mortality) would be expected to cause changes on only impacted age classes. For example, Atlantic menhaden growth varies widely over time with large swings; these changes have been plausibly linked to density dependence (Schueller &amp; Williams, <span>2017</span>). Also, observed changes in size-at-age over time may simply be due to variation in fishing locations and concomitant changes in the frequency of older menhaden encountered by the fishery over time (SEDAR, <span>2013</span>, <span>2015</span>). Additionally, time-varying dome-shaped selectivity and biased growth estimates based on fishery-dependent samples (Schueller, Williams, &amp; Cheshire, <span>2014</span>) have led to inadequate samples of older age classes. For example, the number of age 4+ Atlantic menhaden samples collected has declined from an average of 4,338/year in the 1950s to 267/year from 1960+. Although we acknowledge the possibility that climate change may be affecting menhaden dynamics and growth, Turner's analyses are insufficient to draw definitive conclusions.</p>","PeriodicalId":44089,"journal":{"name":"Geo-Geography and Environment","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/geo2.48","citationCount":"1","resultStr":"{\"title\":\"Response to Turner 2017\",\"authors\":\"Amy M. Schueller,&nbsp;Robert T. Leaf,&nbsp;Raymond M. Mroch III,&nbsp;Geneviève M. 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Therefore, we feel compelled to comment on Turner's (<span>2017</span>) paper titled “Smaller size-at-age menhaden with coastal warming and fishing intensity.” Our comment is based on three issues: misstatements regarding the stocks’ assessment and management, inappropriate analyses, and limited acknowledgment of alternative hypotheses for the putative patterns.</p><p>Turner (<span>2017</span>) made several erroneous statements about US menhaden assessment and management. First, neither value described as “MSY” in Turner (<span>2017</span>) represents an accurate or reliable estimate of MSY for menhaden. The value labelled “MSY Atlantic” in Figure 1 and throughout the text is the total allowable catch, based on average landings from 2009 to 2011 (ASMFC, <span>2012</span>). The value labelled “GOM MSY” in Figure 1 and throughout the text is the estimate of biomass at MSY (B<sub>MSY</sub>) generated by a surplus production model not adopted for use in management (SEDAR, <span>2013</span>). Developing MSY estimates for forage fish such as menhaden is problematic (SEDAR, <span>2013</span>) and currently is not accepted for determining stock status on either coast. The model used to assess both species, the NMFS Beaufort Assessment Model, is a statistical catch-at-age model that estimates spawner-per-recruit reference points for management (SEDAR, <span>2013</span>, <span>2015</span>). Additionally, landings of both species shown in Figure 1 were inflated by a factor of 1,000.1 Turner's conclusions regarding variation in size-at-age with fishing pressure (Figure 4, Table III) are not valid because incorrect estimates of menhaden MSY and landings were used in the analysis.</p><p>Inappropriate analyses included treatment of the data and model choice. By using mean estimates of size-at-age, analyses artificially reduced the estimated inter-annual variance and ignored potentially confounding factors. Using mean estimates serves to allocate the error variation to the linear regression component of the model, inflating the amount of variance explained. Reanalysing the Gulf data, we find that Turner's model formulation inflates the variance explained from 292% to 1,267%. By including the full weight- and length-at-age dataset, <i>R</i><sup>2</sup> values range from &lt;0.001 to 0.128 (Table S1). Such poor estimation of annual changes in length- and weight-at-age weakens support for Turner's conclusions. Also, menhaden demonstrate considerable spatial variation in their distribution by size and age that affects availability of older ages to the fishery. Proper interpretation of these fishery-dependent data must account for fleet dynamics, especially for Atlantic menhaden, which was historically caught coastwide but now between New Jersey and Virginia. Beyond treatment of data, we disagree with the use of a linear model to understand the inter-annual dynamics of length- and weight-at-age. A qualitative examination of the residual pattern indicates that a linear model does not properly incorporate the biological and environmental dynamics.</p><p>Turner's paper interpreted results with a narrow view on possible factors affecting size-at-age over time and failed to fully acknowledge alternative hypotheses. Density dependence, fishing mortality, selectivity, and environmental factors all have the potential to influence size-at-age. Turner's finding that not all age classes decreased in size is an important piece of evidence. 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引用次数: 1

摘要

大西洋和海湾Menhaden种群(Brevoortia tyrannus和Brevoortia patronus)支持美国第二大渔业,并作为饲料发挥重要的生态作用(Hartman &布兰德,1995;NOAA渔业,2016;Sagarese et al., 2016)。这些重要库存的库存评估和管理经历了从多个角度的彻底审查(Hilborn et al., 2017;Pikitch et al., 2012)。因此,我们觉得有必要对特纳(2017)的论文发表评论,该论文题为“与沿海变暖和捕捞强度有关的同龄尺寸较小的鲱鱼”。我们的评论基于三个问题:关于股票评估和管理的错误陈述,不适当的分析,以及对假设模式的替代假设的有限承认。Turner(2017)对美国鲱鱼的评估和管理做出了一些错误的陈述。首先,Turner(2017)中描述为“MSY”的值都不能准确或可靠地估计鲱鱼的MSY。图1中标注为“大西洋MSY”的值是基于2009年至2011年的平均捕获量计算的总允许捕获量(ASMFC, 2012)。图1和全文中标记为“GOM MSY”的值是由未用于管理的剩余生产模型产生的MSY (BMSY)生物量估计值(SEDAR, 2013)。制定鲱鱼等饲料鱼的最大产量估算是有问题的(SEDAR, 2013),目前不接受用于确定任何海岸的种群状况。用于评估这两个物种的模型,即NMFS Beaufort评估模型,是一个统计年龄捕获量模型,可为管理估计每招募产卵量的参考点(SEDAR, 2013, 2015)。此外,图1中所示的两种鱼类的上岸量都被夸大了1000倍。特纳关于鱼龄尺寸随捕捞压力变化的结论(图4,表三)是无效的,因为在分析中使用了对鲱鱼最大捕捞量和上岸量的错误估计。不恰当的分析包括数据处理和模型选择。通过使用年龄大小的平均估计值,分析人为地减少了估计的年际方差,并忽略了潜在的混淆因素。使用均值估计将误差变化分配给模型的线性回归成分,膨胀了解释的方差量。重新分析海湾地区的数据,我们发现特纳的模型公式将解释的方差从292%夸大到了127%。通过包括完整的权重和年龄长度数据集,R2值的范围从<0.001到0.128(表S1)。这种对身高和体重随年龄变化的年度变化的不准确估计削弱了对特纳结论的支持。此外,鲱鱼在其大小和年龄分布方面表现出相当大的空间差异,这影响了渔业的老年可用性。对这些依赖渔业的数据的正确解释必须考虑到船队的动态,特别是大西洋鲱鱼,它过去是在沿海捕捞的,但现在在新泽西和弗吉尼亚之间。除了数据处理,我们不同意使用线性模型来理解长度和体重年龄的年际动态。残留模式的定性检查表明,线性模型没有适当地纳入生物和环境动力学。特纳的论文对随着时间的推移影响年龄大小的可能因素的解释很狭隘,没有完全承认其他假设。密度依赖性、捕捞死亡率、选择性和环境因素都有可能影响鱼龄尺寸。特纳的发现是一个重要的证据,即并非所有年龄段的人都减少了。诸如密度和环境因素(即温度)等广泛的机制预计会对所有年龄组造成变化,而仅对特定年龄组起作用的因素(即捕鱼死亡率)预计只会对受影响的年龄组造成变化。例如,大西洋鲱鱼的生长随时间变化很大,波动很大;这些变化似乎与密度依赖性有关(Schueller &;威廉姆斯,2017)。此外,观察到的年龄大小随时间的变化可能仅仅是由于捕捞地点的变化以及随时间渔业遇到的老年鲱鱼频率的变化(SEDAR, 2013年,2015年)。此外,时变的圆顶型选择性和基于渔业相关样本的偏倚增长估计(Schueller, Williams, &Cheshire, 2014)导致年龄较大的班级样本不足。例如,收集到的4岁以上大西洋鲱鱼样本的数量从20世纪50年代的平均4338只/年下降到1960年的267只/年。虽然我们承认气候变化可能会影响鲱鱼的动态和生长,但特纳的分析不足以得出明确的结论。
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Response to Turner 2017

The Atlantic and Gulf Menhaden stocks (Brevoortia tyrannus and Brevoortia patronus) support the second largest fishery by weight in the US and serve a critical ecological role as forage (Hartman & Brandt, 1995; NOAA Fisheries, 2016; Sagarese et al., 2016). Stock assessment and management of these important stocks have experienced thorough scrutiny from multiple perspectives (Hilborn et al., 2017; Pikitch et al., 2012). Therefore, we feel compelled to comment on Turner's (2017) paper titled “Smaller size-at-age menhaden with coastal warming and fishing intensity.” Our comment is based on three issues: misstatements regarding the stocks’ assessment and management, inappropriate analyses, and limited acknowledgment of alternative hypotheses for the putative patterns.

Turner (2017) made several erroneous statements about US menhaden assessment and management. First, neither value described as “MSY” in Turner (2017) represents an accurate or reliable estimate of MSY for menhaden. The value labelled “MSY Atlantic” in Figure 1 and throughout the text is the total allowable catch, based on average landings from 2009 to 2011 (ASMFC, 2012). The value labelled “GOM MSY” in Figure 1 and throughout the text is the estimate of biomass at MSY (BMSY) generated by a surplus production model not adopted for use in management (SEDAR, 2013). Developing MSY estimates for forage fish such as menhaden is problematic (SEDAR, 2013) and currently is not accepted for determining stock status on either coast. The model used to assess both species, the NMFS Beaufort Assessment Model, is a statistical catch-at-age model that estimates spawner-per-recruit reference points for management (SEDAR, 2013, 2015). Additionally, landings of both species shown in Figure 1 were inflated by a factor of 1,000.1 Turner's conclusions regarding variation in size-at-age with fishing pressure (Figure 4, Table III) are not valid because incorrect estimates of menhaden MSY and landings were used in the analysis.

Inappropriate analyses included treatment of the data and model choice. By using mean estimates of size-at-age, analyses artificially reduced the estimated inter-annual variance and ignored potentially confounding factors. Using mean estimates serves to allocate the error variation to the linear regression component of the model, inflating the amount of variance explained. Reanalysing the Gulf data, we find that Turner's model formulation inflates the variance explained from 292% to 1,267%. By including the full weight- and length-at-age dataset, R2 values range from <0.001 to 0.128 (Table S1). Such poor estimation of annual changes in length- and weight-at-age weakens support for Turner's conclusions. Also, menhaden demonstrate considerable spatial variation in their distribution by size and age that affects availability of older ages to the fishery. Proper interpretation of these fishery-dependent data must account for fleet dynamics, especially for Atlantic menhaden, which was historically caught coastwide but now between New Jersey and Virginia. Beyond treatment of data, we disagree with the use of a linear model to understand the inter-annual dynamics of length- and weight-at-age. A qualitative examination of the residual pattern indicates that a linear model does not properly incorporate the biological and environmental dynamics.

Turner's paper interpreted results with a narrow view on possible factors affecting size-at-age over time and failed to fully acknowledge alternative hypotheses. Density dependence, fishing mortality, selectivity, and environmental factors all have the potential to influence size-at-age. Turner's finding that not all age classes decreased in size is an important piece of evidence. Broad-scale mechanisms such as density and environmental factors (i.e., temperature) would be expected to cause changes on all age classes, while factors only acting on specific age classes (i.e., fishing mortality) would be expected to cause changes on only impacted age classes. For example, Atlantic menhaden growth varies widely over time with large swings; these changes have been plausibly linked to density dependence (Schueller & Williams, 2017). Also, observed changes in size-at-age over time may simply be due to variation in fishing locations and concomitant changes in the frequency of older menhaden encountered by the fishery over time (SEDAR, 2013, 2015). Additionally, time-varying dome-shaped selectivity and biased growth estimates based on fishery-dependent samples (Schueller, Williams, & Cheshire, 2014) have led to inadequate samples of older age classes. For example, the number of age 4+ Atlantic menhaden samples collected has declined from an average of 4,338/year in the 1950s to 267/year from 1960+. Although we acknowledge the possibility that climate change may be affecting menhaden dynamics and growth, Turner's analyses are insufficient to draw definitive conclusions.

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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
12
审稿时长
25 weeks
期刊介绍: Geo is a fully open access international journal publishing original articles from across the spectrum of geographical and environmental research. Geo welcomes submissions which make a significant contribution to one or more of the journal’s aims. These are to: • encompass the breadth of geographical, environmental and related research, based on original scholarship in the sciences, social sciences and humanities; • bring new understanding to and enhance communication between geographical research agendas, including human-environment interactions, global North-South relations and academic-policy exchange; • advance spatial research and address the importance of geographical enquiry to the understanding of, and action about, contemporary issues; • foster methodological development, including collaborative forms of knowledge production, interdisciplinary approaches and the innovative use of quantitative and/or qualitative data sets; • publish research articles, review papers, data and digital humanities papers, and commentaries which are of international significance.
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