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The use of a Roving Creel Survey to monitor exploited coastal fish species in the Goukamma Marine Ptrotected Area, South Africa

机译:使用巡回纱架调查来监测南非Goukamma海洋保护区内开发的沿海鱼类

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摘要

A fishery-dependant monitoring method of the recreational shore-based fishery was undertaken in the Goukamma Marine Protected Area (MPA) on the south coast of South Africa for a period of 17 months. The method used was a roving creel survey (RCS), with dates, times and starting locations chosen by stratified random sampling. The MPA was divided into two sections, Buffalo Bay and Groenvlei, and all anglers encountered were interviewed. Catch and effort data were collected and catch per unit effort (CPUE) was calculated from this. The spatial distribution of anglers was also mapped. A generalized linear model (GLM) was fitted to the effort data to determine the effects of month and day type on the variability of effort in each section. Fitted values showed that effort was significantly higher on weekends than on week days, in both sections. A total average of 3662 anglers fishing 21 428 hours annually is estimated within the reserve with a mean trip length of 5.85 hours. Angler numbers were higher per unit coastline length in Buffalo Bay than Groenvlei, but fishing effort (angler hours) was higher in Groenvlei. Density distributions showed that anglers were clumped in easily accessible areas and that they favored rocky areas and mixed shores over sandy shores. Catch documented between October 2008 and December 2009 included a total of 361 fish, of 27 species from 12 families. Sparidae had the highest contribution (12 species). A Shannon-Weiner diversity index showed that diversity was higher in Buffalo Bay (0.81) than Groenvlei (0.57). Catch composition of retained fish (336 individuals) showed that the six numerically most important species were blacktail (Diplodus sargus capensis) (66 percent of catch), followed by galjoen (Dichistius capensis) at 11 percent, Cape stumpnose (Rhabdosargus holubi), belman (Umbrina robinsonii) and strepie at 3 percent, and elf (Pomatomus saltatrix) at 2 percent. Catch composition of an earlier study in Goukamma (Pradervand and Hiseman 2006) was compared with the present study, as well as data from the De Hoop MPA, which is closed to fishing. A multi-dimensional scaling plot of catch composition showed tight clustering of the De Hoop samples, and high variability among the Goukamma samples. A bray-curtis similarity index and dendrogram of similarity between study sites and study periods showed that there was an 83 percent similarity among De Hoop samples and a 75 percent similarity among Goukamma samples (ignoring the two outliers). The two sites are different with respect to species composition, but this is expected because they are different areas. Differences between time periods in Goukamma (i.e. the previous study versus the present study) were not significant. The most significant result from the catch composition analyses is the high variability among the Goukamma samples. This can be explained by the variable fishing methods used by anglers in Goukamma, compared with the standardized fishing methods used by researchers in De Hoop, and the fact that fish are more abundant and populations are more stable in De Hoop – giving higher sample sizes which reduce the variability in the statistics. Species-specific CPUE was calculated for the six numerically most important species. In both sections, CPUE was highest for blacktail, with an average of 0.133 fish per hour for Groenvlei, and 0.060 fish per hour for Buffalo Bay, over the 12 months. The second highest CPUE values per section were 0.030 for galjoen in Groenvlei and 0.039 for strepie in Buffalo Bay. Remaining CPUE values ranged from 0.014 (belman in Groenvlei) to the lowest value of 0.001 (strepie in Groenvlei). Total estimated CPUE for these six species in the MPA using the estimated effort and catch results amounted to 0.018 fish per hour. An annual estimated 3897 fish were landed in the reserve during 2009. Most fish (n=2481, 64 percent) were caught in the Groenvlei section. Numbers of blacktail were the highest of all species, within both sections (2353 fish). Strepie was the next most common (561 fish), but was caught almost entirely within the Buffalo Bay section (97 percent of individuals), followed by galjoen (548 fish) caught mostly within the Groenvlei section (92 percent of individuals). Size comparisons of the six species between the Goukamma and De Hoop MPAs showed that ranges in size are similar, but there are substantial differences in mean sizes between the two MPAs. Sample sizes of all species from the Goukamma MPA were too small to draw conclusions about stock status, except for blacktail. The Goukamma MPA is a popular fishing destination and angler effort is high. It can be considered a node of exploitation for surf zone fish, for which it provides no protection. Even though the MPA allows shore angling, sustainable fishing practices should be incorporated in management plans if the MPA is expected to protect and conserve its stocks. Of noteworthy concern is the occurrence of illegal night fishing (the public may not enter the reserve between sunrise and sunset) which leads to underestimates of catch and effort (night surveys were not conducted because of safety concerns). It is recommended that more communication should take place between the angling community and the reserve management. Sign boards giving information on species which are under pressure, and why they are under pressure, with a short explanation on their life cycles, is advised. The roving creel survey method was suitable for the study area and delivered statistically rigorous results. I thus recommend that it is continued in the future by management. I make some recommendations for reducing costs of future surveys, as well as for altering the survey design if funds are very limited.
机译:在南非南海岸的古卡玛海洋保护区(MPA)开展了一种依赖渔业的沿海休闲渔业监测方法,为期17个月。所使用的方法是粗纱架调查(RCS),其日期,时间和起始位置通过分层随机抽样进行选择。 MPA分为布法罗湾(Buffalo Bay)和格罗夫莱(Groenvlei)两部分,采访了所有遇到的钓鱼者。收集了渔获量和工作量数据,并据此计算了单位渔获量(CPUE)。还绘制了钓鱼者的空间分布。将通用线性模型(GLM)拟合到工作量数据,以确定月份和日期类型对每个部分的工作量变异性的影响。拟合值显示,在两个部分中,周末的工作量均明显高于工作日。在保护区内,估计每年平均有3662个钓鱼者捕鱼21 428小时,平均行程为5.85小时。布法罗湾每单位海岸线长度的垂钓者数量高于Groenvlei,但Groenvlei的捕捞努力(垂钓时间)更高。密度分布表明,垂钓者被聚集在容易接近的地区,他们偏爱岩石地区和沙质海岸以外的混合海岸。在2008年10月至2009年12月之间记录的渔获量共计361条鱼,来自12个科的27种。 rid科的贡献最大(12种)。 Shannon-Weiner多样性指数表明,布法罗湾(0.81)的多样性高于Groenvlei(0.57)。滞留鱼类的捕获量(336只)显示,六个最重要的物种是黑尾(Diplodus sargus capensis)(占捕获量的66%),其次是占11%的galjoen(Dichistius capensis),披头角(Rhabdosargus holubi),贝尔曼(Umbrina robinsonii)和链球菌为3%,而小精灵(Pomatomus saltatrix)为2%。 Goukamma早期研究的渔获物成分(Pradervand和Hiseman 2006)与本研究以及De Hoop MPA的数据进行了比较,该数据禁止捕鱼。渔获物组成的多维标度图显示De Hoop样本紧密聚集,而Goukamma样本之间的变异性很高。研究地点和研究时期之间的Bray-curtis相似性指数和树状图相似性表明,De Hoop样本之间的相似度为83%,Goukamma样本之间的相似度为75%(忽略了两个离群值)。这两个地点的物种组成不同,但这是可以预期的,因为它们是不同的地区。 Goukamma中各个时间段之间的差异(即先前的研究与当前的研究)没有显着差异。渔获物成分分析的最重要结果是古卡玛样品之间的高变异性。可以用古卡玛(Goukamma)钓鱼者使用的可变捕鱼方法与德霍普(De Hoop)研究人员使用的标准化捕鱼方法来解释,以及德霍普(De Hoop)鱼更丰富,种群更稳定的事实-从而提供了更大的样本量。减少统计数据的可变性。计算了六个数字上最重要的物种的特定物种CPUE。在这两个部分中,黑尾鱼的CPUE最高,在过去的12个月中,格罗夫莱(Groenvlei)每小时平均0.133条鱼,布法罗湾(Buffalo Bay)每小时平均0.060条鱼。每节第二高的CPUE值是Groenvlei的galjoen为0.030,布法罗湾的strepie为0.039。剩余的CPUE值范围从0.014(在Groenvlei中为Belman)到最低值0.001(在Groenvlei中为strepie)。使用估计的努力量和捕获结果,MPA中这六个物种的估计CPUE总量为每小时0.018条鱼。 2009年期间,估计每年有3897条鱼降落在保护区中。大部分鱼(n = 2481,占64%)捕获在Groenvlei区。在这两个部分中,黑尾鱼的数量是所有物种中最高的(2353条鱼)。其次是斯特雷比鱼(561条鱼),但几乎全部被捕到布法罗湾部分(占97%的个体),其次是加尔约恩(548条鱼),大部分被捕获于格罗夫莱地区(占92%的个体)。 Goukamma和De Hoop MPA之间的六个物种的大小比较显示,大小范围相似,但是两个MPA之间的平均大小存在很大差异。 Goukamma MPA中所有物种的样本量都很小,除了黑尾鱼以外,无法得出有关种群状况的结论。 Goukamma MPA是一个受欢迎的钓鱼胜地,钓鱼者的努力很高。它可以被认为是冲浪区鱼类开发的一个节点,对此它没有提供任何保护。即使MPA允许岸上钓鱼,如果希望MPA保护和养护其种群,则应将可持续的捕捞活动纳入管理计划。值得关注的是非法夜钓的发生(公众可能不会在日出和日落之间进入保护区),这导致捕捞量和努力量被低估了(出于安全考虑未进行夜班调查)。建议在垂钓社区和保护区管理人员之间进行更多的交流。建议告示牌提供有关受压物种及其受压原因的信息,并简要说明其生命周期。粗纱架调查方法适用于研究区域,并提供了严格的统计结果。因此,我建议管理层在未来继续进行下去。我提出一些建议,以减少将来的调查成本,以及在资金非常有限的情况下更改调查设计。

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    Van Zyl Carika Sylvia;

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  • 年度 2011
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