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43 results for “plant community dynamics”

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dryad32/100

Data from: Animals alter precipitation legacies: trophic and ecosystem engineering effects on plant community temporal dynamics

1. Multi-year precipitation 'legacies' can have stronger effects on plant community composition than rainfall in the current growing season, but variation in the magnitude of these effects is not fully understood. Direct interactions between plants and animals, such as herbivory, and indirect interactions, such as ecosystem engineering (via changes in the physical environment), may influence precipitation legacies by altering mechanisms of lagged effects. However, the role of direct and indirect plant-animal interactions in determining the strength of precipitation legacies remains largely unexplored. 2. Here, we investigated effects of current growing season rainfall and precipitation legacies on grassland composition, and the influence of herbivory and ecosystem engineering interactions on these temporal dynamics. From 2009 to 2014, a period spanning high and low rainfall, we recorded plant cover in kangaroo rat exclosures and paired control plots that included both burrow and inter-burrow areas. We used linear mixed effects modeling and analysis of community dissimilarities to evaluate plant composition responses to current and previous growing season rainfall and kangaroo rat herbivory (presence of seed foraging) and ecosystem engineering (burrowing). 3. We found that community composition was more strongly affected by precipitation legacies than by current growing season rainfall. Greater precipitation in the previous growing season enhanced grass cover and reduced forb and legume cover. Kangaroo rat trophic and engineering interactions had counteracting effects on these legacies. While burrowing increased grass cover and thereby amplified the effects of previous growing season rainfall on community composition, legacies were suppressed by the presence of kangaroo rat foraging, which decreased grass cover. Further analysis revealed that kangaroo rat foraging and burrowing had conflicting effects on residual plant biomass prior to the growing season, suggesting that precipitation legacies were influenced by altered litter dynamics. 4. Synthesis. Our study demonstrates that animals can impact the strength of precipitation legacies through direct and indirect interactions with the plant species that drive lag effects. The influence of multiple types of plant-animal interactions on precipitation legacies may be important to consider for ecosystem management and when generating predictions of community composition and productivity in future ecosystems.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Chronic nitrogen addition induces a cascade of plant community responses with both seasonal and progressive dynamics

Short-lived herbaceous plants provide a useful model to rapidly reveal how multiple generations of plants in natural plant communities of sensitive desert ecosystems will be affected by N deposition. We monitored dynamic responses of community structure, richness, evenness, density and biomass of herbaceous plants to experimental N addition (2:1 NH4+:NO3− added at 0, 0.5, 1, 3, 6 and 24 g N m− 2 a− 1) in three seasons in each of three years in the Gurbantunggut desert, a typical temperate desert of central Asia. We found clear rate-dependent and season-dependent effects of N deposition on each of these variables, in most cases becoming more obvious through time. N addition reduced plant richness, leading to a loss of about half of the species after three generations in the highest N application level. Evenness and density were relatively insensitive to all but the greatest levels of N addition for two generations, but negative effects emerged in the third generation. Biomass, both above and below ground, was non-linearly affected by N deposition. Low and intermediate levels of N deposition often increased biomass, whereas the highest level suppressed biomass. Stimulatory effects of intermediate N addition disappeared in the third generation. All of these responses are strongly interrelated in a cascade of changes. Notably, changes in biomass due to N deposition were mediated by declines in richness and evenness, and other changes in community structure, rather than solely being the direct outcome of release from limitation. The interrelationships between N deposition and the different plant community attributes change not only seasonally, but also progressively change through time. These temporal changes appear to be largely independent of interannual or seasonal climatic conditions.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Microenvironment and functional-trait context dependence predict alpine plant community dynamics

Predicting the structure and dynamics of communities is difficult. Approaches linking functional traits to niche boundaries, species co‐occurrence and demography are promising, but have so far had limited success. We hypothesized that predictability in community ecology could be improved by incorporating more accurate measures of fine‐scale environmental heterogeneity and the context‐dependent function of traits. We tested these hypotheses using long term whole‐community demography data from an alpine plant community in Colorado. Species distributions along microenvironmental gradients covaried with traits important for below‐ground processes. Positive associations between species distributions across life stages could not be explained by abiotic microenvironment alone, consistent with facilitative processes. Rates of growth, survival, fecundity and recruitment were predicted by the direct and interactive effects of trait, microenvironment, macroenvironment and neighbourhood axes. Synthesis. Context‐dependent interactions between multiple traits and microenvironmental axes are needed to predict fine‐scale community structure and dynamics.

opencc-zeroDec 2017View details →
dryad32/100

Data from: Temporal dynamics of plant-soil feedback and root-associated fungal communities over 100 years of invasion by a non-native plant

1. Pathogens can accumulate on invasive plants over time, which could lead to population declines. The time required for these dynamics to occur is unknown and seldom addressed. Furthermore, no study has assessed plant-soil feedback while characterising plant pathogen and mutualist root fungal communities in the context of invasion time. 2. We used a plant-soil feedback study and 454 pyrosequencing to investigate pathogen accumulation over 100 years on a highly invasive plant in eastern North America that shows localised declines, Vincetoxicum rossicum (Apocynaceae). 3. We collected soil from five sites representing each of four invasion periods of V. rossicum across Ontario, Canada (old, ~100 years; intermediate, 50-60 years; young, <12 years; and uninvaded), and grew V. rossicum in these soils in a glasshouse study. Our hypothesis was that plants grown in soils invaded for longer periods of time would experience less positive feedbacks compared to those grown in more recently invaded or uninvaded soils. We collected roots of V. rossicum from the invasion periods and performed 454 pyrosequencing targeting fungi. We hypothesised that the abundance and richness of fungi that are known plant pathogens would be higher in roots from older invasions compared to more recent invasions. 4. Contrasting with our hypothesis, V. rossicum experienced overall growth promotion due to soil biota, regardless of invasion period. Vincetoxicum rossicum roots were colonised by a large number of fungal taxa, including many known plant pathogens or mutualistic arbuscular mycorrhizal fungi. However, we found no evidence of pathogen accumulation in older invaded sites in terms of species composition, richness or abundance. 5. Synthesis: Our consistent results in the glasshouse and the field highlight the strength of combining high-throughput sequencing data with plant-soil feedback experiments. We showed that the roots of Vincetoxicum rossicum (Apocynaceae) were colonised by many fungal taxa, but found no evidence for changes in plant growth or accumulation of fungal pathogens with longer invasion time. High pathogen loads may not lead to concurrent declines in invasive plants. Plant invasions, as demonstrated by V. rossicum, may be unpredictable in their ability to accumulate pathogens capable of leading to population declines.

opencc-zeroDec 2014View details →
dryad32/100

Data from: Peatland vascular plant functional types affect methane dynamics by altering microbial community structure

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publicApr 2015View details →
dryad32/100

Data from: Microenvironment and functional-trait context dependence predict alpine plant community dynamics

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publicJun 2018View details →
dryad32/100

Data from: Animals alter precipitation legacies: trophic and ecosystem engineering effects on plant community temporal dynamics

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publicJan 2019View details →
dryad32/100

Data from: Patch dynamics and temporal dispersal partly shape annual plant communities in ephemeral habitat patches

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publicJun 2017View details →
dryad32/100

Data from: Chronic nitrogen addition induces a cascade of plant community responses with both seasonal and progressive dynamics

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publicJan 2019View details →
dryad32/100

Rainfall pulses mediate long-term plant community compositional dynamics in a semi-arid rangeland

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publicSep 2020View details →
dryad32/100

Data from: Effect of insect herbivory on plant community dynamics under contrasting water availability levels

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publicJul 2019View details →
dryad32/100

Data from: Temporal dynamics of plant-soil feedback and root-associated fungal communities over 100 years of invasion by a non-native plant

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publicMay 2018View details →
dryad32/100

Data from: Plant community dynamics and carbon sequestration in Sphagnum-dominated peatlands in the era of global change

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publicJul 2020View details →
dryad32/100

Data from: Dominant bee species and floral abundance drive parasite temporal dynamics in plant-pollinator communities

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publicAug 2020View details →
edi32/100

Soil organic matter responses to nutrient enrichment in the Nutrient Network:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.

This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).

openCC0Mar 2018View details →
edi32/100

Soil nutrient analysis:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.

This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).

openCC0Mar 2018View details →
zenodo28/100

The impacts of tropical forest degradation and fragmentation on ant-plant mutualisms, and consequences for plant community dynamics

<b>Description: </b><p>Myrmecophyte interactions in differing habitats</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/119"><b>The impacts of tropical forest degradation and fragmentation on ant-plant mutualisms, and consequences for plant community dynamics</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>GACR (National, 16-09427S, <a href="NA">NA</a>)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Council (Research licence NA)</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3979296">here</a></p><p><b>Files: </b>This consists of 1 file: M.pearsonii_habitat_comparison_OP_Matrix_MH_August.xlsx</p><p><b>M.pearsonii_habitat_comparison_OP_Matrix_MH_August.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Branch data</b> (described in worksheet Branch_data)</p><p>Description: Branch data</p><p>Number of fields: 86</p><p>Number of data rows: 611</p><p>Fields: </p><ul><li><b>Tree_code</b>: Tree ID (Field type: location)</li><li><b>Branch_code</b>: Branch code (Field type: id)</li><li><b>Coccids</b>: Number of coccids on br0nches (Field type: numeric interaction)</li><li><b>Brood1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen1</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen2</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen4</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen5</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen6</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants_7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen7</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen8</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen9</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen10</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen11</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen12</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen13</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen14</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen15</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen16</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen17</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen18</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen19</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen20</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Brood21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Ants21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>Allates21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>queen21</b>: Number of ants on branch (Field type: numeric interaction)</li><li><b>damaged_queens</b>: Number of damaged ants (Field type: numeric interaction)</li><li><b>wasp</b>: Number of wasps (Field type: numeric interaction)</li><li><b>Notes</b>: Comments (Field type: comments)</li></ul></li><li><p><b>Tree data</b> (described in worksheet Tree_data)</p><p>Description: Tree data, including soil nutrient profiles</p><p>Number of fields: 23</p><p>Number of data rows: 84</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Tree</b>: Tree ID (Field type: id)</li><li><b>Tree_code</b>: Tree ID code (Field type: location)</li><li><b>Habitat</b>: Habitat type (Field type: categorical)</li><li><b>Number_ants_first_5_leaves</b>: Number of ants on first 5 leaves (Field type: numeric trait)</li><li><b>DBH</b>: Diametre at breast height (Field type: numeric trait)</li><li><b>Height</b>: Tree height (Field type: numeric trait)</li><li><b>N</b>: Canopy cover (Field type: numeric trait)</li><li><b>S</b>: Canopy cover (Field type: numeric trait)</li><li><b>E</b>: Canopy cover (Field type: numeric trait)</li><li><b>W</b>: Canopy cover (Field type: numeric trait)</li><li><b>Canopy_cover</b>: Canopy cover (Field type: numeric trait)</li><li><b>Leaf_biomass</b>: Leaf biomass (Field type: numeric trait)</li><li><b>Total_branches</b>: Total number of branches (Field type: numeric trait)</li><li><b>Phosphate</b>: Leaf phosphates (Field type: numeric trait)</li><li><b>Nitrate</b>: Leaf nitrates (Field type: numeric trait)</li><li><b>Total_wet_weight</b>: Total soil wet weight (Field type: numeric trait)</li><li><b>Wet_weight_sample</b>: Soil wet weight (sample) (Field type: numeric trait)</li><li><b>Dry_weight_sample</b>: Soil dry weight (sample) (Field type: numeric trait)</li><li><b>pH</b>: Leaf pH (Field type: numeric trait)</li><li><b>Dry_Wet_ratio</b>: Soil wet: dry weight ratio (Field type: numeric trait)</li><li><b>Total_dry_weight</b>: Total soildry weight (Field type: numeric trait)</li><li><b>Density</b>: Soil density (Field type: numeric trait)</li></ul></li><li><p><b>All M.Pearsonii-Herbivory data</b> (described in worksheet All_Pearsonii-Herbivory_data)</p><p>Description: Summarised version of data used for analysis</p><p>Number of fields: 17</p><p>Number of data rows: 86</p><p>Fields: </p><ul><li><b>Date</b>: Date the measurements were taken (Field type: date)</li><li><b>Tree</b>: Tree tag (Field type: id)</li><li><b>Tree_Code</b>: Tree code (Field type: id)</li><li><b>Habitat</b>: Habitat type (Field type: categorical)</li><li><b>Tree_Height_Rank</b>: Tree height rank (Field type: categorical)</li><li><b>Corrected_Leaf_Biomass</b>: Corrected leaf biomass (Field type: numeric trait)</li><li><b>Herbivory</b>: Leaf herbivory (Field type: numeric trait)</li><li><b>Coccids</b>: Coccid abundance (Field type: numeric interaction)</li><li><b>Ant_abundance</b>: Ant abundance (Field type: numeric interaction)</li><li><b>Ant_ranked_abundance</b>: Ant coverage ranked (Field type: categorical)</li><li><b>Brood</b>: Ant abundance (Field type: numeric interaction)</li><li><b>Biomass_height_ratio</b>: Tree biomass to height ratio (Field type: numeric trait)</li><li><b>Coccid_ant_ratio</b>: Coccid to ant ratio (Field type: numeric)</li><li><b>Brood_ant_ratio</b>: Brood to ant ratio (Field type: numeric trait)</li><li><b>Attendence_ratio</b>: Attendence ratio (Field type: numeric)</li><li><b>DomTaxa</b>: Taxa record for the dominant species (Field type: taxa)</li><li><b>Dominant_species</b>: Is there a dominant species? (Field type: categorical interaction)</li></ul></li></ol><p><b>Date range: </b>2016-11-19 to 2017-11-24</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>&ensp;-&ensp; Plantae <br>&ensp;-&ensp;&ensp;-&ensp; Tracheophyta <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Magnoliopsida <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Malpighiales <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Euphorbiaceae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Macaranga</i> <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; <i>Macaranga pearsonii</i> <br>&ensp;-&ensp; Animalia <br>&ensp;-&ensp;&ensp;-&ensp; Arthropoda <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Insecta <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hymenoptera <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Formicidae <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.1 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.2 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.4 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.5 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.6 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.7 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.8 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.9 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.10 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.11 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.12 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.13 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.14 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.15 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.16 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.17 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.18 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.19 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.20 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; sp.21 <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Hemiptera <br>&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp;&ensp;-&ensp; Coccidae <br></div><p></p>

opencc-by-4.0Dec 2019View details →
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Figure 6. A in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands

Figure 6. A schematic cross-section of the study wetland (Mallín Crespo) contrasting the condition of the three studied ponds (P1, P2 and P3) during hydrological phases: isolation and connected periods. Distances between ponds, the weather station and sheep are not to scale. Volume (m3) is indicated below each pond. Environment variables are: water temperature (WT), precipitation (PP), pH, specific conductivity (C), dissolved oxygen (DO), total suspended solids (TSS), total nitrogen (TN), and total phosphorus (TP). Invertebrate attributes are: taxa richness (R) density (D), biomass (B) and dominant functional feeding groups (FFG). Dominant taxa in terms of density and frequency are listed over each pond. Bold letters are used for taxa that are also dominants in biomass. For both periods first and second dominant FFG are represented. P, predators; CG, collector–gatherers; and CF, collector–filterers.

opencc-by-4.0Aug 2015View details →
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Figure 4 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands

Figure 4. Seasonal patterns of functional feeding groups (FFG), (A) by density (103 individuals m−3) and (B) by biomass [g DM m−3] at three ponds (May 2008 to April 2009) of Mallín Crespo wetland (Argentina). Sh, shredders; Sc, scrapers; P, predators; CG, collector–gatherers; CF, collector–filterers; P–H, piercers herbivores.

opencc-by-4.0Aug 2015View details →
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Figure 2 in Temporal dynamics of invertebrate and aquatic plant communities at three intermittent ponds in livestock grazed Patagonian wetlands

Figure 2. Seasonal variation of particulate organic matter (POM, dashed lines) and aquatic plant coverage (solid line) at three ponds on a Patagonian steppe wetland (Argentina) during the study period (May 2008 to April 2009). Categories of aquatic plant coverage explained in methodology. Livestock stocking period is indicated in the figure (black bar).

opencc-by-4.0Aug 2015View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record