Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
38
datasets available to search
ShareScore release 0.9.0
Dataset results
38 results for “Tree species richness”
Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees
<p>The triple threats of climate change, habitat loss, and environmental pollution have stimulated discussion on how urban areas can be modified to both mitigate heat increases and provide habitat for wildlife such as insects. The strategy of using trees to reduce temperatures has been adopted by numerous cities. However, the majority of street trees planted around the world are non-native. Studies conducted in non-urban areas have demonstrated in comparison to native plants, non-native plants are less likely to support native insect diversity. Here we use a database approach to quantify the number of native Lepidoptera species associated with 76 of the most common street tree species planted in Vancouver, Canada. We tested the prediction that compared to non-native trees, native street trees will support a higher diversity and unique community of native Lepidoptera. As predicted, native street trees were associated with five times as many native Lepidoptera species, and the Lepidoptera communities supported by native vs. non-native street trees were distinct. There was no difference in native Lepidoptera associations between broadleaf vs. coniferous street trees. These results are consistent with studies that have used active sampling techniques to investigate insect richness on a smaller subset of native and non-native tree species. Collectively, these data provide good evidence that the planting native instead of non-native trees will help stem the loss of insect diversity in urban areas.</p>
Data from: Plastic responses of belowground foraging traits to soil phosphorus-rich patches across 17 coexisting AM tree species in a subtropical forest
<p><span>1. </span><span>Belowground plastic responses to soil nutrient "hot-spots" form a key nutrient foraging strategy of plants coexisting in natural ecosystems. However, it is unclear how plant species differ in these belowground plastic responses and how they co-vary.</span></p> <p><span>2. </span><span>Plastic responses to soil phosphorus (P)-rich patches of absorptive root, mycorrhizal, and exudation traits of 17 co-existing arbuscular mycorrhizal (AM) tree species in a subtropical evergreen broad-leaved forest were investigated using a root bag method.</span></p> <p><span>3. </span><span>There was considerable variation and heterogeneity in species-specific responses to P-rich patches. Negative log response ratios usually occurred for high-cost traits and positive log response ratios for low-cost traits. There were tradeoffs in the plastic responses between root acid phosphatase activity and extraradical hyphal length, which were unaffected by phylogeny, and between root acid phosphatase activity and specific root length. Thicker-rooted species responded to P-rich patches more through root exudation plasticity than mycorrhizal plasticity. Thinner-rooted species relied more on mycorrhizal plasticity.</span></p> <p><span>4. </span><em><span>Synthesis</span></em><span>. Our results revealed diverse P foraging strategies comprising different combinations of plastic adjustments in absorptive root, mycorrhizal, and exudation traits among coexisting AM tree species, which suggest the potential for complementary exploitation of different soil P sources.</span></p>
Tree species richness and soil organic carbon stock
<p class="MsoNormal"><span>Recently, the perspectives for the stronger persistence of soil organic carbon (SOC) caused by the higher molecular diversity of organic compounds were proposed. Therefore, the effects of tree species richness and composition on the diversity of molecular components of SOC need to be explored. In this study, we collected data on tree species diversity and composition, SOC concentration, chemical composition, litter and fine root properties, and examined the relationships between the richness, composition and functional diversity of tree species, and the evenness of SOC chemical compositions at a molecular level by <sup>13</sup>C nuclear magnetic resonance, across six natural forest types encompassing a diversity gradient, ranging from cold temperate to tropical forests. Across the range, tree species richness correlated to the evenness of SOC chemical components through tree species composition. The negative correlation of evenness of SOC chemical components with tree species composition and the positive correlation of evenness of SOC chemical components with tree functional diversity were found. The positive correlation of the evenness of SOC chemical components with indicator tree species. These findings suggest that the indicator tree species conservation might be preferable to simply increasing tree species richness, for enhancing the potential resistance of SOC to decomposition.</span></p>
Data from: Neighbour species richness and local structural variability modulate aboveground allocation patterns and crown morphology of individual trees
Open the record for dataset details and reuse information.
Tree species richness and soil organic carbon stock
Open the record for dataset details and reuse information.
Data for: Sun, Ogushi, Tseng -Lepidoptera species richness and community composition in urban street trees
Open the record for dataset details and reuse information.
Data from: The functional trait space of tree species is influenced by the species richness of the canopy and the type of forest
Open the record for dataset details and reuse information.
Data from: Trees as islands: canopy ant species richness increases with the size of liana-free trees in a Neotropical forest
Open the record for dataset details and reuse information.
Data from: Structural complexity and large-sized trees explain shifting species richness and carbon relationship across vegetation types
Open the record for dataset details and reuse information.
Data from: Plastic responses of belowground foraging traits to soil phosphorus-rich patches across 17 coexisting AM tree species in a subtropical forest
Open the record for dataset details and reuse information.
Data from: Tree species richness increases ecosystem carbon storage in subtropical forests
Open the record for dataset details and reuse information.
Consumer-grade UAV imagery facilitates semantic segmentation of species-rich savanna tree layers
<p>This data set was sampled and used for the following publication:<br>Popp, M.R., Kalwij, J.M. Consumer-grade UAV imagery facilitates semantic segmentation of species-rich savanna tree layers. Sci Rep 13, 13892 (2023). http://dx.doi.org/10.1038/s41598-023-40989-7.</p> <p>The data set contains RGB orthomosaics sampled via a DJI Phantom 4 Pro at approx. 1.2 cm GSD in the folder /out.<br>Folder /shp contains subfolders that hold shapefiles delineating tree crowns by species as polygons. Species names are given in SpeciesList.csv. Encoding of the values for species/groups of species used in the study to consecutive integers can be found in class_encoding.csv.</p>
Figure 3 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 3 Relationships between ground beetle biomass and canopy cover (A) and herb cover (B). Black lines indicate significant relationships at p < 0.05 obtained from mixed-effects models (keeping other significant predictors fixed at their means) with grey areas indicating the 95% confidence intervals. Points (slightly jittered to improve visibility) represent observed values per trap. The fixed-effects explained 30% of the variation in ground beetle biomass.
Figure 4 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 4 Representatives of ground beetles from pitfall traps and flight interception traps in Gutianshan NP ACarabus kiukiangensisBCarabus davidisCLioptera erotyloidesDTricondyla macrodera.
Figure 2 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 2 Relationships between ground beetle species richness and canopy cover (A) and herb cover (B). Black lines indicate significant relationships at p < 0.05 obtained from mixed-effects models (keeping other significant predictors fixed at their means) with grey areas indicating the 95% confidence intervals. Points represent observed values per trap. Note that some traps had similar richness and predictor values. The fixed-effects explained 12% of the variation in ground beetle species richness.
Figure 1 from: Zumstein P, Bruelheide H, Fichtner A, Schuldt A, Staab M, Härdtle W, Zhou H, Assmann T (2021) What shapes ground beetle assemblages in a tree species-rich subtropical forest? In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 907-927. https://doi.org/10.3897/zookeys.1044.63803
Figure 1 Relationships between ground beetle abundance and canopy cover (A), herb cover (B) and pH-value of the soil (C). Black lines indicate significant relationships at p < 0.05 obtained from mixed-effects models (keeping other significant predictors fixed at their means) with grey areas indicating the 95% confidence intervals. Points represent observed values per trap. Note that some traps had similar abundance and predictor values. The fixed-effects explained 22% of the variation in ground beetle abundance.
Tree Species Richness by Site at HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains plant species richness of trees at each of the six test sites (HJA, HFR, LUQ, BCI, CWT, NWT). These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836. This file was created using R code run on the Macroplots Tree Growth Data file.
Tree Species Richness by Plot at HJA, HFR, BCI, CWT, LUQ, and NWT
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This dataset contains species richness of trees in a group of five Gentry plots set up at each of the six test sites (HJA, HFR, LUQ, BCI, CWT, NWT). These plots were set up by the Enquist Lab (PI, Brian Enquist) from the University of Arizona to measure annual tree growth as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836. This file was created using R code run on the Macroplots Tree Growth Data file.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.