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opencc-by-4.0Sep 2023View details →

Dataset for "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows"

This dataset accompanies the article "Structural complexity and benthic metabolism: resolving the links between carbon cycling and biodiversity in restored seagrass meadows" accepted for publication in Biogeosciences (https://doi.org/10.5194/bg-2023-173). The dataset includes benthic fluxes and biodiversity data in from bare sediments, restored Zostera marina and a natural Z. marina meadow collected in Gåsö, Sweden (58.2325, 11.3984) between July 05 - July 20, 2022.

Figure 4 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)

Figure 4. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 3 Las Hortensias in the Allipen river.

Figure 3 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)

Figure 3. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 2 Huereré in the Allipen river.

Figure 1 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)

Figure 1. Map of Allipen river, Tolten river basin, La Araucania Region Chile.Where S1 "Melipeuco" (265639 S, 5694829 W), S2: "Huerere" (758774 S- 5681448 W) and S3: "Las Hortensias" (746454 S; 5684086 W) represent the specific sampling stations, respectively.

Figure 2 in Community structure of benthic invertebrates in the Allipén River basin, North Patagonia, Araucania region (38º S, Chile)

Figure 2. Mean abundance (individuals/m2) the families more representative of benthic macroinvertebrates at site 1 Melipeuco in the Allipen river.

Figure 6 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 6. Dendrogram of cluster analysis of the species composition in SH (see the abbreviations in Section 2).

Figure 2 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 2. Relative share of FFGs (%) in the mountain stations of the studied river basins (see the abbreviations in Section 2).

Figure 8 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 8. Ordination diagram (CCA analysis) of the distribution of studied benthic communities along the gradient of environmental factors (see the abbreviations in Section 2).

Figure 3 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 3. Relative share of FFGs (%) in the foothill stations of the studied river basins (see the abbreviations in Section 2).

Figure 4 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 4. Relative share of FFGs (%) in the plain stations of the studied river basins (see the abbreviations in Section 2).

Figure 5 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 5. Similarity of species composition of the FFGs between studied sites (MDS plot) (the numbers correspond to the surveyed stations as described in Section 2).

Figure 7 in Comparison of trophic structure of the benthic macroinvertebrates in three Bulgarian riverine water bodies

Figure 7. Dendrogram of cluster analysis of the species composition in DF (see the abbreviations in Section 2).

opencc-by-4.0Sep 2023View details →

Structural and functional effects of global invasion pressure on benthic marine communities – patterns, challenges and priorities

Here we present datasets underlying the results of the study examining patterns of structural and functional community-level change in a range of well-studied marine ecosystems with documented histories of bioinvasion. For the purpose of the study, the authors identified six regions with extensive bay-scale datasets on native and non-indigenous benthic species assemblages, allowing paired comparisons in time (years to decades; retrospective datasets) or space (high vs. low proximity to hotspots of NIS introductions within a region; cross-sectional datasets) representing differences in bioinvasion pressure (Table 1). These sites were: 1) coastal waters of British Columbia, Canada (BC); 2) San Francisco Bay, USA (SF); 3) Ilha Grande Bay, Brazil (BR); 4) North-Eastern Baltic Sea, Estonia (BS); 5) estuaries of New South Wales, Australia (AU) and 6) Waitematā Harbour, New Zealand (NZ). These six regions are generally at mid- to higher-latitudes, with one low-latitude site (BR). The study sites encompassed surveys of benthic communities: fouling assemblages (BC and AU), subtidal reefs (BR and BS), and soft-sediment benthos (SF, BS, and NZ). Three data files are provided for each study region and include: <ul> <li>benthic community data (XX_species.csv)</li> <li>binary (0/1) biological trait information compiled for all species in the dataset (XX_traits.csv)</li> <li>additional explanatory variables considered for each study region - bioinvasion pressure and spatial variables (XX_env.csv)</li> </ul> For detailed information on datasets and methods description please refer to the original manuscript by Zaiko et al.

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Data for: Benthic drivers of structural complexity in coral reefs across a tropical-subtropical transition zone

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publicMar 2025View details →

opencc-zeroFeb 2022View details →

Spatial and local environmental factors outperform geo-climatic gradients in structuring taxonomically- and traits-based β‐diversity of benthic algae

Aim: Understanding the variation in biodiversity and its underlying drivers and mechanisms is a core task in biogeography and ecology. In this study, we examined: i) the relative contributions of species replacement (i.e. turnover) and richness difference (i.e. nestedness) to taxonomically- and traits-based β-diversity of stream benthic algae; ii) whether these two facets of β-diversity are correlated with each other; and iii) the relative contributions of local environmental (e.g. water chemistry, flow velocity, habitat quality), geo-climatic (e.g. land use types, elevation, precipitation), and spatial factors (e.g. using principal coordinates of neighborhood matrices) to the two facets of β-diversity and their components (i.e. total β-diversity, turnover, and nestedness). Location: Hun-Tai River Basin, northeastern China Taxon: Stream benthic algae Methods: A total of 157 sites were sampled. Mantel tests were used to examine the complementarities between the two facets of β-diversity and their components. Distance-based redundancy analysis and variation partitioning were utilized to investigate the relative contributions of local environmental, geo-climatic, and spatial factors to each facet of β-diversity and their components. Results: Weak correlations between taxonomically- and traits-based β‐diversity and their components were detected, which indicated complementarity of ecological information. Taxonomically-based total β‐diversity was largely driven by turnover, whereas traits-based total β-diversity was more driven by nestedness. Variation partitioning results indicated that local environmental and spatial factors contributed more than geo-climatic variables to the total explained variation in taxonomically- and traits-based β‐diversity. Main conclusions: Our findings highlighted the importance of the different facets of β‐diversity and their decomposition for understanding diversity patterns of benthic algae relative to abiotic factors. A high level of traits-based convergence among benthic algae communities, despite high taxonomic divergence, demonstrated turnover of species with similar biological traits across our study region. Our study provides a traits-based insight into stream benthic algae communities, which was less documented by previous freshwater studies that focused on regions undergoing recovery following human disturbances.

opencc-zeroOct 2023View details →

Data from: Ocean deoxygenation caused non-linear responses in the structure and functioning of benthic ecosystems

The O2 content of the global ocean has been declining progressively over the past decades, mainly because of human activities and global warming. Nevertheless, how long-term deoxygenation affects macrobenthic communities, sediment biogeochemistry and their mutual feedback remains poorly understood. Here, we evaluate the response of the benthic assemblages and biogeochemical functioning to decreasing O2 concentrations along the persistent bottom-water dissolved O2 gradient of the Estuary and Gulf of St. Lawrence (QC, Canada). We report several of non-linear biodiversity and functional responses to decreasing O2 concentrations, and identify an O2 threshold that occurs at approximately at 63 µM. Below this threshold, macrobenthic community assemblages change, and bioturbation rates drastically decrease to near zero. Consequently, the sequence of electron acceptors used to metabolize the sedimentary organic matter is squeezed towards the sediment surface while reduced compounds accumulate closer (as much as 0.5 to 2.5 cm depending on the compound) to the sediment-water interface. Our results illustrate the capacity of bioturbating species to compensate for the biogeochemical consequences of hypoxia and can help to predict future changes in benthic ecosystems.

publicJul 2021View details →

Spatial and local environmental factors outweigh geo-climatic gradients in structuring taxonomically and trait-based β-diversity of benthic algae

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