The Resilience and Adaptation of Aquatic Ecosystem’s Structure and Function to Climate Change

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 3058

Special Issue Editors


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Guest Editor
Department of Marine Biology, Texas A&M University Galveston, P.O. Box 1675, Galveston, TX 77553, USA
Interests: theoretical ecology; plankton ecology; harmful algal blooms

E-Mail Website
Guest Editor
Department of Marine Biology, Texas A&M University Galveston, P.O. Box 1675, Galveston, TX 77553, USA
Interests: theoretical ecology; plankton ecology; plankton models; harmful algae blooms; mixotrophic algae

E-Mail Website
Guest Editor
Freshwater and Estuarine Research Group, School of Life Sciences, University of Technology Sydney, PO Box 123, Broadway, NSW 2007, Australia
Interests: cyanobacterial blooms; river management; fish kills; river and lake ecology
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Life Sciences and Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK
Interests: community ecology; biodiversity; phytoplankton; HABs; resource fluctuations; water quality; microalgae productivity

Special Issue Information

Dear Colleagues,

We are putting together a Special Issue of Climate focused on resilience and adaptation to climate change of populations and communities, as well as its impact on aquatic ecosystem functioning. Climate change has resulted in warming, acidification, and deoxygenation in aquatic ecosystems. In addition, alterations in circulation, vertical mixing, inflows, nutrient loading, sea-level rise, and intensification of storms have resulted from changes in climate. These changed conditions are exacerbated by increased dam construction, water reclamation projects, and inter-basin water transfers. Biodiversity loss in aquatic ecosystems has resulted from climate change, reducing functional redundancy and threatening ecosystem functioning. In some areas, habitat compression and taxon-specific range movement have resulted in new species distributions, and have altered phenology and community dynamics. Shifts in plankton composition and productivity have occurred that, in some cases, have resulted in harmful algal blooms, as well as changes to trophic transfer efficiency and fishery yields. At the organismal level, climate change affects the physiology, structure, and gene expression of organisms, potentially driving rapid evolution. By creating this Special Issue of Climate, we aim to provide a resource for scientists and resource managers alike that captures the current state of knowledge.

Topics that the Special Issue will address include, but are not limited to, resilience and adaptation to climate change at biological organization levels of the following:

  • Genetics and genomics
  • Organelles, cells, tissues, and organisms
  • Populations and metapopulations
  • Communities and metacommunities
  • Ecosystems and biospheres

While the Special Issue is limited to aquatic systems, both inland and marine systems will be included, in both pelagic and benthic habitats, as well as organisms ranging in size—from viruses to whales.

Dr. Daniel Roelke
Dr. Sierra E. Cagle
Dr. Simon Mitrovic
Dr. Sofie Spatharis
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Climate is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • resilience
  • adaptation
  • aquatic ecosystems
  • climate change
  • biology
  • ecology
  • population
  • community

Published Papers (1 paper)

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Research

13 pages, 2829 KiB  
Article
Bottom-Up Drivers for Global Fish Catch Assessed with Reconstructed Ocean Biogeochemistry from an Earth System Model
by Hyo-Jong Song and Jong-Yeon Park
Climate 2021, 9(5), 83; https://0-doi-org.brum.beds.ac.uk/10.3390/cli9050083 - 14 May 2021
Cited by 1 | Viewed by 2345
Abstract
Identifying bottom-up (e.g., physical and biogeochemical) drivers for fish catch is essential for sustainable fishing and successful adaptation to climate change through reliable prediction of future fisheries. Previous studies have suggested the potential linkage of fish catch to bottom-up drivers such as ocean [...] Read more.
Identifying bottom-up (e.g., physical and biogeochemical) drivers for fish catch is essential for sustainable fishing and successful adaptation to climate change through reliable prediction of future fisheries. Previous studies have suggested the potential linkage of fish catch to bottom-up drivers such as ocean temperature or satellite-retrieved chlorophyll concentration across different global ecosystems. Robust estimation of bottom-up effects on global fisheries is, however, still challenging due to the lack of long-term observations of fisheries-relevant biotic variables on a global scale. Here, by using novel long-term biological and biogeochemical data reconstructed from a recently developed data assimilative Earth system model, we newly identified dominant drivers for fish catch in globally distributed coastal ecosystems. A machine learning analysis with the inclusion of reconstructed zooplankton production and dissolved oxygen concentration into the fish catch predictors provides an extended view of the links between environmental forcing and fish catch. Furthermore, the relative importance of each driver and their thresholds for high and low fish catch are analyzed, providing further insight into mechanistic principles of fish catch in individual coastal ecosystems. The results presented herein suggest the potential predictive use of their relationships and the need for continuous observational effort for global ocean biogeochemistry. Full article
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