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Dissolved oxygen and temperature best predict deepsea fish community structure in the Gulf of California with climate change implications

机译:溶解氧气和温度最佳预测加利福尼亚州海湾的Deepsea鱼群结构,气候变化影响

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摘要

Natural gradient systems can be used to examine the vulnerability of deep-sea communities to climate change. The Gulf of California presents an ideal system for examining relationships between faunal patterns and environmental conditions of deep-sea communities because deep-sea conditions change from warm and oxygen-rich in the north to cold and severely hypoxic in the south. The Monterey Bay Aquarium Research Institute (MBARI) remotely operated vehicle (ROV) 'Doc Ricketts' was used to conduct seafioor video transects at depths of ~200-1400 m in the northern, central, and southern Gulf. The community composition, density, and diversity of demersal fish assemblages were compared to environmental conditions. We tested the hypothesis that climate-relevant variables (temperature, oxygen, and primary production) have more explanatory power than static variables (latitude, depth, and benthic substrate) in explaining variation in fish community structure. Temperature best explained variance in density, while oxygen best explained variance in diversity and community composition. Both density and diversity declined with decreasing oxygen, but diversity declined at a higher oxygen threshold (~7 μmol kg~(-1)). Remarkably, high-density fish communities were observed living under suboxic conditions (<2 μmol kg~(-1)). Using an Earth systems global climate model forced under an RCP8.5 scenario, we found that by 2081-2100, the entire Gulf of California seafioor is expected to experience a mean temperature increase of 1.08 ± 1.07°C and modest deoxygenation. The projected changes in temperature and oxygen are expected to be accompanied by reduced diversity and related changes in deep-sea demersal fish communities.
机译:天然梯度系统可用于检查深海社区对气候变化的脆弱性。加利福尼亚州的海湾提供了一种理想的系统,用于检查海洋社区的群体模式与环境条件之间的关系,因为深海条件从北方的温暖和富氧风格变化到南方的寒冷和严重缺氧。 Monterey Bay Aquarium Research Institute(Mbari)远程操作的车辆(ROV)'Doc Ricketts'用于在北部,中央和南部海湾南部〜200-1400米的深度进行海佛视频横断面。与环境条件进行比较了过度鱼组合的社区组成,密度和多样性。我们测试了以下假设,即气候相关变量(温度,氧气和初级生产)比静态变量(纬度,深度和底层底物)在解释鱼群结构的变化中具有更高的解释力。温度最佳地解释密度方差,而氧气最能解释多样性和社区组成方差。氧气下降的密度和多样性均下降,但在较高的氧气阈值下,多样性下降(〜7μmolkg〜(-1))。显着地,观察到高密度的鱼群在中药条件下(<2μmolkg〜(-1))。使用地球系统在RCP8.5场景下强迫全球气候模型,我们发现,到2081-2100,加州海菲的整个海湾有望经历平均温度增加1.08±1.07°C和较为纯脱氧。预计温度和氧气的变化预计将伴随着深海过海鱼群中的多样性和相关变化。

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  • 来源
    《Oceanographic Literature Review》 |2020年第10期|2210-2210|共1页
  • 作者单位

    Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego San Diego CA 92093 United States;

    Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego San Diego CA 92093 United States;

    Integrative Oceanography Division Scripps Institution of Oceanography University of California San Diego San Diego CA 92093 United States;

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