2021
DOI: 10.1007/s10021-021-00691-z
|View full text |Cite
|
Sign up to set email alerts
|

Ocean Warming Will Reduce Standing Biomass in a Tropical Western Atlantic Reef Ecosystem

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
9
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 15 publications
(11 citation statements)
references
References 75 publications
1
9
0
Order By: Relevance
“…For instance, using a meta-analytical approach, Wilson et al 9 found that 62% out of 55 fishes were coral reliant and showed declines in abundance following coral loss in reefs from six marine biogeographical regions (i.e., Caribbean, Arabian Gulf, Indian Ocean, Indo-Australia, Southern Japan and East Pacific). Also, fish standing biomass in reef food webs facing ocean warming was predicted to severely drop, impairing reef productivity and diversity 61 . Thus, not accessing abundance prevents quantification of the intensity of ecosystem functions.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, using a meta-analytical approach, Wilson et al 9 found that 62% out of 55 fishes were coral reliant and showed declines in abundance following coral loss in reefs from six marine biogeographical regions (i.e., Caribbean, Arabian Gulf, Indian Ocean, Indo-Australia, Southern Japan and East Pacific). Also, fish standing biomass in reef food webs facing ocean warming was predicted to severely drop, impairing reef productivity and diversity 61 . Thus, not accessing abundance prevents quantification of the intensity of ecosystem functions.…”
Section: Discussionmentioning
confidence: 99%
“…Ecospace models can be driven by spatiotemporal data such as satellite-or model-derived time series of primary production, temperature, and salinity maps (e.g., Bauer et al, 2019;Christensen et al, 2015;Coll et al, 2016Coll et al, , 2020Hyytiäinen et al, 2021;Steenbeek et al, 2013;Uusitalo et al, 2022). A growing number of studies investigated ocean warming impacts by means of temperature-based forcing functions (Libralato et al, 2015) or environmental response functions derived from geographic species distributions for many functional groups (e.g., Bentley et al, 2020Bentley et al, , 2017Capitani et al, 2021b;Corrales et al, 2018aCorrales et al, , 2017aSerpetti et al, 2017;Vilas et al, 2021a). Response functions to temperature were commonly obtained from global databases of species distributions like AquaMaps (Kaschner et al, 2019) While forcing and environmental response functions were the most widespread and general modeling techniques for including physical climate change in EwE models, some studies used more application-specific approaches.…”
Section: Physical Climatementioning
confidence: 99%
“…Meanwhile, they are increasingly threatened by anthropic pressure including overfishing, global change, invasive species introduction, habitats destruction and pollution 3 . In particular, on-going global ocean warming is expected to severely affect species distribution, abundance and extinction rates but also trophic interactions and entire food webs balance 4 , 5 . These threats are critical especially for human populations that rely heavily on marine resources and depend on small-scale fisheries (SSF) or tourism for their livelihoods such as tropical developing states or small tropical islands 6 8 .…”
Section: Introductionmentioning
confidence: 99%