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1,445 results for “species richness.”
Kellogg Biological Station site, station Treatment 3, organic-based low chemical input (banded herbicide, starter N), winter leguminous crop, annual tillage and post-planting cultivation, study of plant species richness in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains plant species richness measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 4, certified oganic, no chemical inputs, annual tillage, rotary-hoed to control weeds, study of plant species richness in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains plant species richness measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 7, native successional treatment, abandoned after spring plowing in 1989, study of plant species richness in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains plant species richness measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment 8, never plowed, 200 meters (m) south of the others, that serves as an historical control for soil organic matter studies, study of plant species richness in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains plant species richness measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Kellogg Biological Station site, station Treatment SF, old field successional community, never tilled, study of plant species richness in units of numberPerMeterSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Kellogg Biological Station (KBS) contains plant species richness measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.
Multi-site grassland plant biomass, species richness and light (PAR):e247: 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).
FIGURE 5. Species richness estimations slopes. Jack 2s in A protocol for online documentation of spider biodiversity inventories applied to a Mexican tropical wet forest (Araneae, Araneomorphae)
FIGURE 5. Species richness estimations slopes. Jack 2s indicates the slope average for these estimations based on incidence (BAT) and abundance (Bat and Estimates). Same averages were calculated for Jack 1s and Chao 1 and 2 estimation slopes. Column indicated with (*) correspond to the slope value for pitfalls under Chao's estimations.
Flying under the LiDAR: relating forest structure to bat activity, species richness, and presence
<p>Dataset supporting article entitled "Flying under the LiDAR; relating forest structure to bat activity, species richness, and presence"</p>
Data from: Factors determining species richness patterns of breeding birds along an elevational gradient in the Horn of Africa region
Aim: To document the species richness patterns of breeding birds along elevational gradients and explore its drivers in the Horn of Africa Region. Location: Horn of Africa Region Taxon: Breeding species of birds Methods: Distributional data for breeding birds were collected. Elevational distribution data were extracted, interpolated, and assembled for all birds, passerines and non-passerines. In order to tease apart how different environmental factors contributed to the variation in species richness, we found it necessary to divide the area into four subregions with different climatic regimes and topographic structure. Then, the species richness in each 100 m elevational band was counted along the elevational gradients of each subregion. Pearson's correlation analyses and ordinary least squares (OLS) regressions were used to examine the relationships between species richness and factors Results: The variation in species richness followed hump-shaped patterns for all subregions, although with peak values at different elevations. The bird species groups on the western and eastern slopes showed low and high plateaus with mid-elevational peaks, respectively, but very low species diversities at the highest elevations. Species richness was significantly correlated with temperature range and productivity in each subregion. The temperature range, area and productivity explained 82% of the species richness variations for all birds on the western slope. Main conclusions: The separate analyses of four area subdivisions provide strong indications of how various factors interact. Productivity and temperature range were the best driving factors for shaping the richness patterns, but deviations from expected patterns suggest modifying roles of mist formation zones in the valleys that deeply intersect the large highlands in the west and rich riparian vegetation where water from cool and humid environments at high elevation reaches lower elevations in the arid east. Conservation is recommended in each subregion based on the elevational richness scenarios.
Data from: Specialization and niche overlap across spatial scales: revealing ecological factors shaping species richness and coexistence in Australian songbirds
1. Ecological specialization enables the partitioning of resources and thus can facilitate the coexistence of species and promote higher species richness. Specialization and niche partitioning are expected to exert a decisive influence on local spatial scales, while species richness at regional scales should be shaped mostly by historical factors and abiotic conditions. Moreover, specialization is expected to be particularly important in communities that are exceptionally species rich for their environmental conditions. Concurrently, niche overlap in these communities should be minimized to enable species coexistence. 2. We tested these hypotheses by studying specialization-richness relationship and niche overlap in assemblages of 298 species of songbirds (Passeriformes) across Australia. We used local (2-6 ha) to regional (bioregions) spatial scales, and detailed data on habitat, diet, and foraging behaviour (method, substrate, and stratum). 3. We expected the richness-specialization relationship to be particularly strong i) on local spatial scales and ii) in communities exceptionally species rich for given environmental conditions (approximated by moisture and vegetation complexity). We also expected iii) low niche overlap in assemblages with specialized species. 4. Only the third prediction was partly supported. First, while the specialization and species richness were often positively related, the strength and the direction of the relationship changed between traits and across spatial scales. The strength of the specialization-richness relationship was consistently positive only in foraging stratum, and it increased towards smaller spatial scales only in case of habitat and diet. Simultaneously, species in local communities demonstrated high overlap in habitat and diet. Second, we did not find particularly strong specialization-richness relationships in exceptionally species rich communities. Third, we found the expected negative relationship between specialization and overlap in foraging stratum and substrate (in local communities), suggesting that species partition ecological space locally in terms of where they find food. 5. Our expectations were only weakly supported. Specialization on foraging stratum was probably important in facilitating species co-existence. Conversely, although species were often specialized on habitat and diet, high overlap in these traits did not preclude their local coexistence. Overall, specialization and overlap in foraging traits were more important for species coexistence than habitat or diet.
Data from: The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
Analysing how species modify their trait expression along a diversity gradient brings insight about the role that intraspecific variability plays over species interactions, e.g. competition versus complementarity. Here, we evaluated the functional trait space of nine tree species dominant in three types of European forests (a continental-Mediterranean, a mountainous mixed temperate and a boreal) growing in communities with different species richness in the canopy, including pure stands. We compiled whole-plant and leaf traits in 1719 individuals, and used them to quantify species trait hypervolumes in communities with different tree species richness. We investigated changes along the species richness gradient to disentangle species responses to the neighbouring environment, in terms of hypervolume size (trait variance), shape (trait relative importance) and centroid translation (shifts of mean trait values) using null models. Our main results showed differences in trait variance and shifts of mean values along the tree diversity gradient, with shorter trees but with larger crowns in mixed stands. We found constrained functional spaces (trait convergence) in pure stands, suggesting an important intraspecific competition, and expanded functional spaces (trait divergence) in two-species admixtures, suggesting competition release due to interspecific complementarity. Nevertheless, further responses to increasing species richness were different for each forest type, waning species complementarity in sites with limiting conditions for growth. Our results demonstrate that tree species phenotypes respond to the species richness in the canopy in European forests, boosting species complementarity at low level of canopy diversity and with a site-specific pattern at greater level of species richness. These outcomes evidence the limitation of functional diversity measures based only on traits from pure stands or general trait database values.
Data from: Species richness and redundancy promote persistence of exploited mutualisms in yeast
<p>Mutualisms, or reciprocally beneficial interspecific interactions, constitute the foundation of many ecological communities and agricultural systems. Mutualisms come in different forms, from pairwise interactions to extremely diverse communities, and they are continually challenged with exploitation by non-mutualistic community members (exploiters). Thus, understanding how mutualisms persist remains an essential question in ecology. Theory suggests that high species richness and functional redundancy could promote mutualism persistence in complex mutualistic communities. Using a yeast system (<i>Saccharomyces cerevisiae</i>), we experimentally show that communities with the greatest mutualist richness and functional redundancy are nearly two times more likely to survive exploitation than are<b> </b>simple communities. Persistence increased because diverse communities were better able to mitigate the negative effects of competition with exploiters. Thus, large mutualistic networks may be inherently buffered from exploitation.</p>
Code and data for lake and stream fish species richness and composition
<p>The code and data sets were used in the manuscript in press at the Canadian Journal of Fisheries and Aquatic Sciences, titled "Surface water connectivity affects lake and stream fish species richness and composition."</p>
FIGURES 119–127 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 119–127. Male morphology of Winnertzia pratensis (119–123) and Winnertzia silvestris (124–127). 119: Genitalia, ventral, holotype. 120: Acropod, lateral, paratype. 121: Fourth flagellomere, lateral, paratype. 122: Ditto, medial. 123: Tibia to second tarsomere of foreleg, lateral, holotype. 124: Fourth flagellomere, lateral, holotype. 125: Ditto, medial. 126: Acropod, lateral, holotype. 127: Tibia to second tarsomere of foreleg, lateral, holotype. Scales for 119, 121–122 and 124–125, 0.05 mm; for 120 and 126, 0.025 mm; for 123 and 127, 0.5 mm. Arrows refer to characters described in the diagnoses.
FIGURES 128–134 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 128–134. Male morphology of Winnertzia pustulatula (128–131) and Winnertzia ruliki (132–134), holotypes. 128: Genitalia, ventral. 129: Gonostylus, ventral. 130: Fourth flagellomere, lateral. 131: Ditto, medial. 132: Genitalia, ventral. 133: Fourth flagellomere, lateral. 134: Ditto, medial. Scales for 128 and 130–134, 0.05 mm; for 129, 0.025 mm. Arrows refer to characters described in the diagnoses.
FIGURES 112–118 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 112–118. Male morphology of Winnertzia lapponica (112–115) and Winnertzia longicoxa (116–118). 112: Posterior portion of thorax, lateral, paratype. 113: Genitalia, ventral, holotype. 114: Fourth flagellomere, lateral, paratype. 115: Ditto, medial. 116: Genitalia, ventral, holotype. 117: Fourth flagellomere, lateral, paratype. 118: Ditto, medial. Scales for 112, 0.025 mm; for 113–118, 0.05 mm. Arrows refer to characters described in the diagnoses.
FIGURES 100–105 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 100–105. Male morphology of Winnertzia feralis (100–102) and Winnertzia tridens (103–105). 100: Fourth flagellomere, lateral, specimen from Uppland. 101: Ditto, medial. 102: Acropod, lateral, specimen from Östergötland. 103: Ditto, specimen from Öland. 104: Fourth flagellomere, lateral. 105: Ditto, medial. Scales for 100–101 and 104–105, 0.05 mm; for 102–103, 0.025 mm.
FIGURES 94–99 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 94–99. Male morphology of Winnertzia smalandensis (94–96) and Winnertzia sundini (97–99), holotypes. 94: Fourth flagellomere, lateral. 95: Ditto, medial. 96: Genitalia, ventral. 97: Ditto. 98: Fourth flagellomere, lateral. 99: Ditto, medial. Scales 0.05 mm. Arrows refer to characters described in the diagnoses.
FIGURES 90–93 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 90–93. Male morphology of Winnertzia panguana (90) and Winnertzia quercinophila (91–93), holotypes. 90: Genitalia, ventral. 91: Ditto. 92: Fourth flagellomere, lateral. 93: Ditto, medial. Scales 0.05 mm. Arrows refer to characters described in the diagnoses.
FIGURES 106–111 in Reevaluation of species richness in Winnertzia (Diptera, Cecidomyiidae, Winnertziinae), with descriptions of 37 new species from Sweden, Peru and Australia
FIGURES 106–111. Male morphology of Winnertzia bicolor (106–108) and Winnertzia inornata (109–111), holotypes. 106: Fourth flagellomere, lateral. 107: Ditto, medial. 108: Genitalia, ventral. 109: Ditto. 110: Fourth flagellomere, lateral. 111: Ditto, medial. Scales 0.05 mm. Arrows refer to characters described in the diagnoses.
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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.
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.
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.
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.
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.