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Making ecological indicators management ready: Assessing the specificity, sensitivity, and threshold response of ecological indicators

机译:准备好生态指标管理:评估生态指标的特异性,敏感性和阈值响应

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摘要

Moving toward ecosystem-based fisheries management (EBFM) necessitates a suite of ecological indicators that are responsive to fishing pressure, capable of tracking changes in the state of marine ecosystems, and related to management objectives. In this study, we employed the gradient forest method to assess the performance of 14 key ecological indicators in terms of specificity, sensitivity and the detection of thresholds for EBFM across ten marine ecosystems using four modelling frameworks (Ecopath with Ecosim, OSMOSE, Atlantis, and a multispecies size-spectrum model). Across seven of the ten ecosystems, high specificity to fishing pressure was found for most of the 14 indicators. The indicators biomass to fisheries catch ratio (B/C), mean lifespan and trophic level of fish community were found to have wide utility for evaluating fishing impacts. The biomass indicators, which have been identified as Essential Ocean Variables by the Global Ocean Observing System (GOOS), had lower performance for evaluating fishing impacts, yet they were most sensitive to changes in primary productivity. The indicator B/C was most sensitive to low levels of fishing pressure with a generally consistent threshold response around 0.4*F-MSY (fishing mortality rate at maximum sustainable yield) across nine of the ten ecosystems. Over 50% of the 14 indicators had threshold responses at, or below similar to 0.6* F-MSY for most ecosystems, indicating that these ecosystems would have already crossed a threshold for most indicators when fished at F-MSY. This research provides useful insights on the performance of indicators, which contribute to facilitating the worldwide move toward EBFM.
机译:转向基于生态系统的渔业管理(EBFM),需要一套能够应对捕捞压力,能够追踪海洋生态系统状况变化并与管理目标相关的生态指标。在这项研究中,我们采用四个模型框架(Ecopath与Ecosim,OSMOSE,亚特兰蒂斯和多物种大小光谱模型)。在十个生态系统中的七个中,发现对14个指标中的大多数具有高度的捕捞压力特异性。发现生物量与渔业捕捞率(B / C),鱼类群落的平均寿命和营养水平指标在评估捕捞影响方面具有广泛的用途。被全球海洋观测系统(GOOS)确定为基本海洋变量的生物量指标在评估捕捞影响方面表现较差,但对初级生产力的变化最为敏感。 B / C指标对低捕捞压力最敏感,在十个生态系统中的九个中,阈值响应大致一致,约为0.4 * F-MSY(最大可持续产量的捕捞死亡率)。在14个指标中,有超过50%的阈值响应对于大多数生态系统都等于或低于0.6 * F-MSY,这表明以F-MSY捕捞时,这些生态系统已经超过了大多数指标的阈值。这项研究为指标的绩效提供了有用的见解,有助于促进全球向EBFM的转变。

著录项

  • 来源
    《Ecological indicators》 |2019年第10期|16-28|共13页
  • 作者单位

    Fisheries & Oceans Canada Pacific Biol Stn 3190 Hammond Bay Rd Nanaimo BC V9T 6N7 Canada;

    Fisheries & Oceans Canada Pacific Biol Stn 3190 Hammond Bay Rd Nanaimo BC V9T 6N7 Canada|Fisheries & Oceans Canada Fraser River & Interior Area Stock Assessment 3-100 Annacis Pkwy Delta BC V3M 6A2 Canada;

    Fisheries & Oceans Canada Bedford Inst Oceanog POB 1006 Dartmouth NS B2Y 4A2 Canada;

    Univ Washington Sch Aquat & Fishery Sci Box 355020 Seattle WA 98105 USA;

    Inst Marine Sci ICM CSIC Passeig Maritim Barceloneta 37-49 Barcelona 08003 Spain|Ecopath Int Initiat Res Assoc Barcelona Spain;

    Scottish Marine Inst Scottish Assoc Marine Sci Oban PA37 1QA Argyll Scotland|European Marine Board Wandelaarkaai 7 B-8400 Oostende Belgium;

    CSIRO Oceans & Atmosphere GPO Box 1538 Hobart Tas 7001 Australia|Univ Tasmania Ctr Marine Socioecol Hobart Tas Australia;

    Univ Cape Town Dept Biol Sci Private Bag X3 ZA-7701 Rondebosch South Africa|Univ Cape Town Marine Res Inst Private Bag X3 ZA-7701 Rondebosch South Africa;

    GMIT MFRC Dublin Rd Galway Ireland;

    Univ Montpellier Ifremer CNRS Inst Rech Dev UMR MARBEC IRD Montpellier France;

    Middle East Tech Univ Inst Marine Sci TR-33731 Erdemli Turkey|Ist Nazl Oceanog & Geofis Sperimentale Borgo Grotto Gigante 42-C I-34010 Sgonico TS Italy;

    Cefas Lowestoft Lab Pakefield Rd Lowestoft NR33 0HT Suffolk England;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ecological modelling; Fishing pressure; Gradient forest method; Indictor performance; Marine ecosystem; Primary productivity;

    机译:生态建模;捕鱼压力;梯度森林法;指标表现;海洋生态系统;初级生产力;

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