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93 results for “complementarity”

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dryad32/100

Representation and complementarity of the long-term coral monitoring on the Great Barrier Reef

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publicFeb 2020View details →
dryad32/100

Where are the bats? An environmental complementarity analysis in a megadiverse country

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publicSep 2020View details →
dryad32/100

Data from: Frugivore biodiversity and complementarity in interaction networks enhance landscape-scale seed dispersal function

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publicAug 2019View details →
dryad32/100

Data from: Pair complementarity influences reproductive output in the polymorphic black sparrowhawk (Accipiter melanoleucus)

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publicAug 2016View details →
dryad32/100

Data from: Belowground complementarity effects in a grassland biodiversity experiment are related to deep-rooting species

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publicSep 2018View details →
dryad32/100

Data from: Multiple factors modulate tree growth complementarity in central European mixed forests

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publicAug 2018View details →
dryad32/100

Data from: Nonadditive effects of consumption in an intertidal macroinvertebrate community are independent of food availability but driven by complementarity effects

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publicJan 2019View details →
dryad32/100

Data from: Complementarity in spatial subsidies of carbon associated with resource partitioning along multiple niche axes

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publicJul 2020View details →
dryad28/100

Data from: Complementarity and selection effects in early and mid-successional plant communities are differentially affected by plant-soil feedback

1. Many studies that provided evidence for a positive relationship between plant diversity and productivity have proposed that this effect may be explained by complementarity among species in resources utilization, or selection of particularly productive species in high-diversity plant communities. Recent studies have related the higher productivity in diverse plant communities to suppression of pathogenic soil biota. If soil biota plays a role in diversity–productivity relationships, the question remains about how they may influence complementarity and selection effects. 2. Here we examine how complementarity and selection effects may depend on soil biota using a plant–soil feedback approach. We used monocultures and mixtures of early successional plant species, which are known to have mostly negative plant–soil feedback effects, and mid-successional plant species, which generally have neutral plant–soil feedback. 3. We found that plant–soil feedback effects differed between monocultures and mixed plant communities, as well as between early and mid-successional plants. This resulted in a significant interaction effect between diversity and successional stage. In monocultures, plant–soil feedback tended to be negative for early and positive for mid-successional plant species. Interestingly, the community feedback responses of the mixed communities were opposite, being positive for early and negative for mid-successional community. 4. Plant–soil feedback differentially affected complementarity and selection effects of early and mid-successional plant communities: it enhanced complementarity effects of early and decreased selection effects of mid-successional species. 5. Synthesis. Soil biota that drive plant–soil feedback effects can influence the diversity–productivity relationship not only through decreased biomass production in monocultures compared to mixtures, but also through influencing complementarity and selection effects among species in mixed plant communities. Our results reveal that biodiversity–productivity relationships depend on plant–soil feedback interactions, which depend on the successional position of the plant. We propose that including successional position and trait-based analyses of plant–soil feedback in diversity-functioning studies will enhance understanding consequences of biodiversity loss for productivity and other ecosystem processes.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Shining light on benthic macroalgae: mechanisms of complementarity in layered macroalgal assemblages

Phototrophs underpin most ecosystem processes, but to do this they need sufficient light. This critical resource, however, is compromised along many marine shores by increased loads of sediments and nutrients from degraded inland habitats. Increased attenuation of total irradiance within coastal water columns due to turbidity is known to reduce species' depth limits and affect the taxonomic structure and architecture of algal-dominated assemblages, but virtually no attention has been paid to the potential for changes in spectral quality of light energy to impact production dynamics. Pioneering studies over 70 years ago showed how different pigmentation of red, green and brown algae affected absorption spectra, action spectra, and photosynthetic efficiency across the PAR (photosynthetically active radiation) spectrum. Little of this, however, has found its way into ecological syntheses of the impacts of optically active contaminants on coastal macroalgal communities. Here we test the ability of macroalgal assemblages composed of multiple functional groups (including representatives from the chlorophyta, rhodophyta and phaeophyta) to use the total light resource, including different light wavelengths and examine the effects of suspended sediments on the penetration and spectral quality of light in coastal waters. We show that assemblages composed of multiple functional groups are better able to use light throughout the PAR spectrum. Macroalgal assemblages with four sub-canopy species were between 50–75% more productive than assemblages with only one or two sub-canopy species. Furthermore, attenuation of the PAR spectrum showed both a loss of quanta and a shift in spectral distribution with depth across coastal waters of different clarity, with consequences to productivity dynamics of diverse layered assemblages. The processes of light complementarity may help provide a mechanistic understanding of how altered turbidity affects macroalgal assemblages in coastal waters, which are increasingly threatened by diminishing light quantity and altered spectral distributions through sedimentation and eutrophication.

opencc-zeroDec 2013View details →
dryad28/100

Data from: Tree species diversity promotes litterfall productivity through crown complementarity in subtropical forests

1. The role of niche complementarity for driving the positive biodiversity-ecosystem productivity relationship has been widely recognized, but there is scant evidence regarding the role of tree canopy structure on this relationship. Litterfall productivity is proportional to forest net primary productivity in natural forests, and we hypothesized that litterfall productivity would increase with tree species diversity via increased tree crown complementarity. 2. We investigated annual litterfall productivity, species diversity, tree crown architecture, soil moisture content, soil carbon content, and stand age across 28 subtropical forest plots in eastern Zhejiang province, China. Simple linear regression was used to examine bivariate relationships among rarified species richness, crown complementarity, total crown volume, soil moisture content, soil carbon content, stand age, and litterfall productivity. Structural equation modeling was employed to quantify the direct and indirect effects of species richness on litterfall productivity through tree crown complementarity. 3. Litterfall productivity increased with rarefied species richness via increasing crown complementarity rather than total crown volume. Species richness, crown complementarity, and litterfall productivity increased with soil moisture content, while crown complementarity and litterfall productivity increased with soil carbon content. Neither species richness nor crown complementarity increased with stand age, even though litterfall productivity increased with stand age. 4. Synthesis. Our study provides evidence for a strong role of tree crown assembly in shaping ecosystem function in complex natural forests. Our findings suggest that crown spatial complementarity among trees operates mechanistically to drive the positive tree species diversity-litterfall productivity relationship in subtropical forests. We argue that community and/or ecosystem ecology would benefit from more attention to crown variability among coexisting tree species.

opencc-zeroDec 2018View details →
dryad28/100

Data from: Cover crops in arable lands increase functional complementarity and redundancy of bacterial communities

1. Reducing the deleterious effects of intensive tillage and fertilisation on ecosystem integrity and human health is challenging for sustainable agriculture. The use of cover crops has been advocated as a suitable technique for this purpose, but scientific evidence to support this has been scarce. 2. After four years and a complete rotation; including wheat, maize and green pea as main crops in a ploughing system, we investigated the respective and combined effects of cover crops and nitrogen fertilisation on soil chemical and biological properties using a controlled experiment combining soil chemical analyses, high-throughput sequencing and community level physiological profiles. 3. Cover crops impeded the soil carbon and nitrogen depletion induced by intensive tillage, not only in the topsoil but also within deeper soil horizons, where more specialized bacterial communities established. 4. Cover crops induced a significant shift in soil bacterial community diversity and composition, which was associated with changes in soil chemical features and bacterial metabolic activities along the entire soil profile. 5. Cover crops enhanced soil resilience to nitrogen fertilisation by increasing functional redundancy and complementarity within soil bacterial communities and across soil horizons. 6. Synthesis and applications. In the ploughing systems commonly used for intensive agriculture in Western Europe, the use of cover crops fosters a high functional diversity among soil bacteria and thus can help to achieve a more sustainable agriculture by reducing nitrogen fertilization while maintaining yields.

opencc-zeroDec 2017View details →
dryad28/100

Data from: Complementarity in both plant and mycorrhizal fungal communities are not necessarily increased by diversity in the other

1. Higher species diversity can improve community performance within a species guild when different species complement each other in their use of the available niche, such as through resource partitioning. However, species in one guild of organisms may act as resources for another such that the diversity in one guild alters the realized niche for species in another. Yet, it remains largely untested as to whether diversity in one guild of organisms influences species complementarity in another. 2. The productivity and diversity in plant and arbuscular mycorrhizal (AM) fungal communities can be positively associated with each other through their typically mutualistic exchange of resources. Here we utilized these two interacting species guilds to determine whether greater diversity in one influences species complementarity in the other. This was done by creating monocultures and a mixture of a grass, forb, and legume in a full factorial design with monocultures and a mixture of four AM fungi. 3. The presence of AM fungi reduced differences in the performance among plant species and greater diversity of fungi generally improved plant productivity over the average of the fungal monocultures. However, plant species complementarity was not greatest with a higher diversity of fungi and was only positive with a particular fungal monoculture. 4. AM fungal abundance was not affected by plant diversity, but was greatly reduced in the grass monoculture compared to the other plant communities. Variation in fungal complementarity among plant communities was low overall and was little influenced by plant diversity. 5. Synthesis. Using a model plant-mycorrhizal system our results suggest that the composition rather than the diversity of species within one guild may be more influential in determining how species function within an associated species guild. However, our model system does not represent a broad gradient of diversity in either plant or fungal communities and only assesses the initial growth phase. Nonetheless our results highlight that changes in species compositions in one species guild can affect the functioning of species diversity in another.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Plant functional diversity and nutrient availability can improve restoration of floating fens via facilitation, complementarity and selection effects

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publicJul 2019View details →
dryad28/100

Data from: Cover crops in arable lands increase functional complementarity and redundancy of bacterial communities

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publicNov 2018View details →
dryad28/100

Data from: Plant water uptake along a diversity gradient provides evidence for complementarity in hydrological niches

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publicJul 2019View details →
dryad28/100

Data from: Complementarity in both plant and mycorrhizal fungal communities are not necessarily increased by diversity in the other

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publicJul 2016View details →
dryad28/100

Data from: Tree species diversity promotes litterfall productivity through crown complementarity in subtropical forests

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publicJan 2019View details →
dryad28/100

Data from: Complementarity and selection effects in early and mid-successional plant communities are differentially affected by plant-soil feedback

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publicFeb 2016View details →
dryad28/100

Data from: Shining light on benthic macroalgae: mechanisms of complementarity in layered macroalgal assemblages

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publicNov 2015View details →

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Allen Brain Atlas

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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

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Last verified 2026-04-29Open record