The impact of climate change on the geographical distribution of habitat-forming macroalgae in the Rías Baixas

Des, M.; Martínez, Brezo; deCastro, M.; Viejo, Rosa M.; Sousa, Magda C.

doi:10.1016/j.marenvres.2020.105074

Cited by 19 publications

(9 citation statements)

References 60 publications

(89 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tropical regions are experiencing an increase in macroalgae from coral reef degradation (Hughes et al, 2017), the expansion of floating algal mats Wang et al, 2019), and increases in seaweed aquaculture (Duarte et al, 2021). In the warm-temperate zone, a shift from kelp to turf algae is taking place in many regions, leading to declines in biomass and productivity (Krumhansl et al, 2016;Smale, 2020), while in cold temperate zones macroalgal biomass and production may be expanding somewhat due to green and golden tides (Zhang et al, 2019) while range contraction of some macroalgal species with climate change is also being reported (Des et al, 2020). Hence, macroalgae do not conform globally to a single increasing or decreasing trend, but these trends vary across latitudes and habitat types.…”

Section: Discussionmentioning

confidence: 99%

“…In the warm‐temperate zone, a shift from kelp to turf algae is taking place in many regions, leading to declines in biomass and productivity (Krumhansl et al., 2016; Smale, 2020), while in cold temperate zones macroalgal biomass and production may be expanding somewhat due to green and golden tides (Zhang et al., 2019) and seaweed aquaculture (Food & Agriculture Organization of the United Nations, 2020). Lastly, macroalgae are expanding their distributional ranges poleward and experience increased productivity in polar waters (Krause‐Jensen et al., 2020; Krause‐Jensen & Duarte, 2014), while range contraction of some macroalgal species with climate change is also being reported (Des et al., 2020). Hence, macroalgae do not conform globally to a single increasing or decreasing trend, but these trends vary across latitudes and habitat types.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Global estimates of the extent and production of macroalgal forests

Duarte

Gattuso

Hancke

et al. 2022

Global Ecol. Biogeogr.

118

View full text Add to dashboard Cite

Aim: Macroalgal habitats are believed to be the most extensive and productive of all coastal vegetated ecosystems. In stark contrast to the growing attention on their contribution to carbon export and sequestration, understanding of their global extent and production is limited and these have remained poorly assessed for decades.Here we report a first data-driven assessment of the global extent and production of macroalgal habitats based on modelled and observed distributions and net primary production (NPP) across habitat types. Location: Global coastal ocean.Time period: Contemporary.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Global estimates of the extent and production of macroalgal forests

Duarte

Gattuso

Hancke

et al. 2022

Global Ecol. Biogeogr.

118

View full text Add to dashboard Cite

show abstract

“…The Delft3D-BLOOM module allows for the simulation of competition between various algal species and types, considering species adaptation to limiting factors and changes in the number of individuals due to extinction. The application of the Delft3D model with these different modules has been reported in numerous previous studies [34][35][36].…”

Section: Bloom Simulationmentioning

confidence: 97%

Changes in Hydraulics–Water Quality–Bloom–Aquatic Habitat Using an Integrated Chain Modeling and Artificial Intelligence Technique in the Yeongsan River

Choi,

Park,

Kang

et al. 2023

Sustainability

View full text Add to dashboard Cite

This study utilized the Delft3D and HABITAT models to investigate the impact of environmental changes resulting from various weir operation scenarios on aquatic habitats and ecosystem health. The weirs were configured to operate with their sluice gates either fully or partially open. The Delft3D model effectively predicted the dominance of diatoms and green algae due to physicochemical changes in weir operation, replicating adaptive processes such as algal growth, competition, and succession. The model indicated a transition to diatom dominance when weirs were fully open and green algae became abundant. The analysis of aquatic ecosystem health in this study, focusing on habitat changes using the HABITAT model, revealed an improvement in aquatic ecosystem health by one level, even with a single weir sluice gate fully open. Furthermore, the utilization of all input variables in the prediction of algae, through the application of artificial intelligence technology, considerably improved prediction accuracy when compared with selectively employing variables with high correlations to changes in chlorophyll-a concentration. These findings underscore the significance of considering various weir operation scenarios and employing advanced modeling techniques to effectively manage and maintain the health of aquatic ecosystems in the face of environmental changes.

show abstract

“…It have also been observed harmful algal blooms (Trainer et al, 2020), reduced levels of surface chlorophyll (Bond et al, 2015), reduced surface area of cold upwelling waters (Konéet al, 2022) and loss of seagrass and kelp forests (Arias-Ortiz et al, 2018;Thomsen et al, 2019). Significant and progressive changes in the distribution of the main coastal seaweed species in northern Spain have been described by several studies (Fernańdez and Anadón, 2008;Müller et al, 2009;Fernańdez, 2011;Viejo et al, 2011;Duarte et al, 2013;Voerman et al, 2013;Fernańdez, 2016;Piñeiro-Corbeira et al, 2016;Casado-Amezuá et al, 2019;Des et al, 2020). According to Goḿez-Gesteira et al (2008), these changes are mainly associated with the observed increase in MHWs in this region, among other factors.…”

Section: Introductionmentioning

confidence: 97%

Characterization of marine heat waves in the eastern tropical Atlantic Ocean

Djakouré,

Koné,

Koffi

et al. 2023

Front. Mar. Sci.

View full text Add to dashboard Cite

Marine heat waves (MHWs) can potentially alter ocean ecosystems with far-reaching ecological and socio-economic consequences. In this study, we characterize the MHWs in the eastern tropical Atlantic Ocean with a focus on the Gulf of Guinea (GG). The Optimum Interpolation Sea Surface Temperature (OISST) data from January 1991 to December 2020 and PIRATA network temperature data, from October 2019 to March 2020, have been used for this purpose. The results show that the eastern tropical Atlantic has experienced an annual average of 2 MHWs events in recent decades. Based on the spatial distribution of the different characteristics of these MHWs, we subdivided the eastern tropical Atlantic Ocean into three zones: the northern coast of the GG, the equatorial zone and the Congo-Gabon coastal region. The trend associated with MHWs events showed an increase in the number of MHWs since 2015 in the different zones. This increase was greater at the northern coast of the GG than at the equator and the Congo-Gabon coast. Long-duration MHWs are more frequent in the equatorial zone. High intensity MHWs were observed in different areas with sea surface temperature anomalies greater than 2°C. These anomalies are more intense at the Congo-Gabon coast. The results also revealed that the MHWs event at the equator from mid-October 2019 to March 2020 initially occurred in the subsurface before it appeared at the surface. These results also suggested that ocean temperatures are a potential predictor of MHW events.

show abstract

The impact of climate change on the geographical distribution of habitat-forming macroalgae in the Rías Baixas

Cited by 19 publications

References 60 publications

Global estimates of the extent and production of macroalgal forests

Global estimates of the extent and production of macroalgal forests

Changes in Hydraulics–Water Quality–Bloom–Aquatic Habitat Using an Integrated Chain Modeling and Artificial Intelligence Technique in the Yeongsan River

Characterization of marine heat waves in the eastern tropical Atlantic Ocean

Contact Info

Product

Resources

About