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大陆架生态系统中鱼类和大型无脊椎动物在分布和生物量重心方面的对比模式。

Contrasting patterns in the occurrence and biomass centers of gravity among fish and macroinvertebrates in a continental shelf ecosystem.

作者信息

Friedland Kevin D, Smoliński Szymon, Tanaka Kisei R

机构信息

Northeast Fisheries Science Center Narragansett RI USA.

Demersal Fish Research Group Institute of Marine Research Bergen Norway.

出版信息

Ecol Evol. 2021 Feb 5;11(5):2050-2063. doi: 10.1002/ece3.7150. eCollection 2021 Mar.

Abstract

The distribution of a group of fish and macroinvertebrates ( = 52) resident in the US Northeast Shelf large marine ecosystem were characterized with species distribution models (SDM), which in turn were used to estimate occurrence and biomass center of gravity (COG). The SDMs were fit using random forest machine learning and were informed with a range of physical and biological variables. The estimated probability of occurrence and biomass from the models provided the weightings to determine depth, distance to the coast, and along-shelf distance COG. The COGs of occupancy and biomass habitat tended to be separated by distances averaging 50 km, which approximates half of the minor axis of the subject ecosystem. During the study period (1978-2018), the biomass COG has tended to shift to further offshore positions whereas occupancy habitat has stayed at a regular spacing from the coastline. Both habitat types have shifted their along-shelf distances, indicating a general movement to higher latitude or to the Northeast for this ecosystem. However, biomass tended to occur at lower latitudes in the spring and higher latitude in the fall in a response to seasonal conditions. Distribution of habitat in relation to depth reveals a divergence in response with occupancy habitat shallowing over time and biomass habitat distributing in progressively deeper water. These results suggest that climate forced change in distribution will differentially affect occurrence and biomass of marine taxa, which will likely affect the organization of ecosystems and the manner in which human populations utilize marine resources.

摘要

利用物种分布模型(SDM)对栖息在美国东北大陆架大型海洋生态系统中的一组鱼类和大型无脊椎动物(共52种)的分布特征进行了描述,进而估算其出现概率和生物量重心(COG)。这些SDM采用随机森林机器学习方法进行拟合,并依据一系列物理和生物变量构建。模型估算出的出现概率和生物量为确定深度、距海岸距离以及沿大陆架距离的COG提供了权重。栖息和生物量栖息地的COG往往相隔平均50公里的距离,这大约是目标生态系统短轴的一半。在研究期间(1978 - 2018年),生物量COG倾向于向离岸更远的位置移动,而栖息栖息地与海岸线的距离保持固定。两种栖息地类型在沿大陆架方向的距离上都发生了变化,表明该生态系统总体上向更高纬度或向东北方向移动。然而,由于季节性条件的影响,生物量在春季倾向于出现在较低纬度,秋季则出现在较高纬度。栖息地相对于深度的分布显示出一种差异响应,栖息栖息地随时间变浅,而生物量栖息地分布在越来越深的水域。这些结果表明,气候驱动的分布变化将对海洋生物分类群的出现和生物量产生不同影响,这可能会影响生态系统的组织以及人类利用海洋资源的方式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a63/7920786/59d05f1699fc/ECE3-11-2050-g001.jpg

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