Towards a global understanding of the drivers of marine and terrestrial biodiversity

Gagne, Tyler; Reygondeau, Gabriel; Jenkins, Clinton N.; Sexton, Joseph O.; Bograd, Steven J.; Hazen, Elliott L.; Houtan, Kyle S. Van

doi:10.1371/journal.pone.0228065

Cited by 51 publications

(55 citation statements)

References 65 publications

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“…A clear break in zooplankton community structure occurred at Punta Eugenia but not at Point Conception. Diversity increased with increasing temperature and decreasing latitude across the transect, consistent with global trends [20]. Our major conclusions remained the same across different clustering and taxonomic annotation methods implemented within the Banzai and USEARCH bioinformatic pipelines.…”

Section: Discussionsupporting

confidence: 77%

Zooplankton biogeographic boundaries in the California Current System as determined from metabarcoding

et al. 2020

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Within the southern California Current ecosystem there are two well-documented breaks in marine community structure at Point Conception and Punta Eugenia. We explored the presence of similar breaks in a diverse zooplankton community through metabarcoding of mixed net tow tissue samples collected during an expedition from Monterey to Baja California in February of 2012. We recovered a high diversity of species as well as patterns of species presence that align with their previously documented ranges in this region. We found a clear break at Punta Eugenia in overall zooplankton community structure, while Point Conception was weakly linked to changes in community structure. We analyzed this dataset through two parallel bioinformatic pipelines to examine the robustness of these results. Our overall conclusions were consistent across both pipelines, however there were differences in species detection. This study illustrates the utility of metabarcoding analysis on mixed tissue samples for recovering known patterns of diversity, as well as allowing elucidation of broad patterns of community differentiation across many groups of organisms.

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Section: Discussionsupporting

confidence: 77%

Zooplankton biogeographic boundaries in the California Current System as determined from metabarcoding

et al. 2020

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“…Previous analyses generated SDMs for 51 of these species from open-access occurrence data at Global Biodiversity Information Facility, FishBase and Ocean Biodiversity Information System. Each SDM is the ensemble of four environmental niche models (BioClim, Boosted Regression Trees, Maxent and Artificial Neural Networks [ 8 ]) and displays the probability of occurrence globally at a 0.5° × 0.5° resolution. To account for potential sampling biases in the source data, we conducted randomized cross-validations for all SDMs and evaluated model performance (see electronic supplementary material, table S2).…”

Section: Methodsmentioning

confidence: 99%

Coastal sharks supply the global shark fin trade

et al. 2020

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Progress in global shark conservation has been limited by constraints to understanding the species composition and geographic origins of the shark fin trade. Previous assessments that relied on earlier genetic techniques and official trade records focused on abundant pelagic species traded between Europe and Asia. Here, we combine recent advances in DNA barcoding and species distribution modelling to identify the species and source the geographic origin of fins sold at market. Derived models of species environmental niches indicated that shark fishing effort is concentrated within Exclusive Economic Zones, mostly in coastal Australia, Indonesia, the United States, Brazil, Mexico and Japan. By coupling two distinct tools, barcoding and niche modelling, our results provide new insights for monitoring and enforcement. They suggest stronger local controls of coastal fishing may help regulate the unsustainable global trade in shark fins.

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“…To evaluate the risk that the emergence of NABS may pose to marine biodiversity and ecosystems services, we calculated the number of marine species and the annual volume of fisheries catches that will be exposed to NABS conditions. For marine exploited biodiversity, we collated the global gridded marine species richness dataset (Gagné et al, 2020) and added several other exploited species distributions from the Sea Around Us 1 and species used in Asch et al (2017 This dataset included 1,105 species ranging from invertebrate to top predator. We extracted average annual total fisheries catch (average between 2001 and 2015) from the Sea Around Us database.…”

Section: Assessing the Potential Impacts Of Nabs On Biodiversity And mentioning

confidence: 99%

Climate Change-Induced Emergence of Novel Biogeochemical Provinces

et al. 2020

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The global ocean is commonly partitioned into 4 biomes subdivided into 56 biogeochemical provinces (BGCPs) following the accepted division proposed by Longhurst in 1998. Each province corresponds to a unique regional environment that shapes biodiversity and constrains ecosystem structure and functions. Biogeochemical provinces are dynamic entities that change their spatial extent and position with climate and are expected to be perturbated in the near future by global climate change. Here, we characterize the changes in spatial distribution of BGCPs from 1950 to 2100 using three earth system models under two representative concentration pathways (RCP 2.6 and 8.5). We project a reorganization of the current distribution of BGCPs driven mostly by a poleward shift in their distribution (18.4 km in average per decade). Projection of the future distribution of BGCPs also revealed the emergence of new climate that has no analog with past and current environmental conditions. These novel environmental conditions, here named No-Analog BGCPs State (NABS), will expand from 2040 to 2100 at a rate of 4.3 Mkm 2 per decade (1.2% of the global ocean). We subsequently quantified the potential number of marine species and annual volume of fisheries catches that would experience such novel environmental conditions to roughly evaluate the impact of NABS on ecosystem services.

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Towards a global understanding of the drivers of marine and terrestrial biodiversity

Cited by 51 publications

References 65 publications

Zooplankton biogeographic boundaries in the California Current System as determined from metabarcoding

Zooplankton biogeographic boundaries in the California Current System as determined from metabarcoding

Coastal sharks supply the global shark fin trade

Climate Change-Induced Emergence of Novel Biogeochemical Provinces

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