Literature DB >> 33717441

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

Kevin D Friedland1, Szymon Smoliński2,3, Kisei R Tanaka4.   

Abstract

The distribution of a group of fish and macroinvertebrates (n = 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. Published 2021. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Northeast US Large Marine Ecosystem; center of gravity; habitat; random forest; temperature

Year:  2021        PMID: 33717441      PMCID: PMC7920786          DOI: 10.1002/ece3.7150

Source DB:  PubMed          Journal:  Ecol Evol        ISSN: 2045-7758            Impact factor:   2.912


  16 in total

1.  Climate change and distribution shifts in marine fishes.

Authors:  Allison L Perry; Paula J Low; Jim R Ellis; John D Reynolds
Journal:  Science       Date:  2005-05-12       Impact factor: 47.728

2.  Random forests for classification in ecology.

Authors:  D Richard Cutler; Thomas C Edwards; Karen H Beard; Adele Cutler; Kyle T Hess; Jacob Gibson; Joshua J Lawler
Journal:  Ecology       Date:  2007-11       Impact factor: 5.499

3.  Marine taxa track local climate velocities.

Authors:  Malin L Pinsky; Boris Worm; Michael J Fogarty; Jorge L Sarmiento; Simon A Levin
Journal:  Science       Date:  2013-09-13       Impact factor: 47.728

4.  Incorporating evolutionary adaptation in species distribution modelling reduces projected vulnerability to climate change.

Authors:  Alex Bush; Karel Mokany; Renee Catullo; Ary Hoffmann; Vanessa Kellermann; Carla Sgrò; Shane McEvey; Simon Ferrier
Journal:  Ecol Lett       Date:  2016-11-22       Impact factor: 9.492

5.  Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics.

Authors:  Melanie A Murphy; Jeffrey S Evans; Andrew Storfer
Journal:  Ecology       Date:  2010-01       Impact factor: 5.499

6.  Changes in higher trophic level productivity, diversity and niche space in a rapidly warming continental shelf ecosystem.

Authors:  Kevin D Friedland; Joseph A Langan; Scott I Large; Rebecca L Selden; Jason S Link; Reg A Watson; Jeremy S Collie
Journal:  Sci Total Environ       Date:  2019-11-23       Impact factor: 7.963

7.  Presence-absence of marine macrozoobenthos does not generally predict abundance and biomass.

Authors:  Allert I Bijleveld; Tanya J Compton; Lise Klunder; Sander Holthuijsen; Job Ten Horn; Anita Koolhaas; Anne Dekinga; Jaap van der Meer; Henk W van der Veer
Journal:  Sci Rep       Date:  2018-02-14       Impact factor: 4.379

8.  Integrating spatial indicators in the surveillance of exploited marine ecosystems.

Authors:  Marta Mega Rufino; Nicolas Bez; Anik Brind'Amour
Journal:  PLoS One       Date:  2018-11-21       Impact factor: 3.240

9.  Coupled Downscaled Climate Models and Ecophysiological Metrics Forecast Habitat Compression for an Endangered Estuarine Fish.

Authors:  Larry R Brown; Lisa M Komoroske; R Wayne Wagner; Tara Morgan-King; Jason T May; Richard E Connon; Nann A Fangue
Journal:  PLoS One       Date:  2016-01-21       Impact factor: 3.240

10.  Fishing and temperature effects on the size structure of exploited fish stocks.

Authors:  Chen-Yi Tu; Kuan-Ting Chen; Chih-Hao Hsieh
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.