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61 results for “long term ecological research”
Sevilleta Long Term Ecological Research Program Plant Species List
Sevilleta Long-Term Ecological Research Program has monitored plant species cover, height, abundance (counts), and biomass since 1999. This list represents the plant species found at the Sevilleta, including those species featured in long-term datasets on plant abundance and biomass. Species codes have been updated to the most recent taxonomic designations by the U.S. Department of Agriculture (plants.sc.egov.usda.gov), and are listed by their kartez codes, or character and number symbols.
International Long-Term Ecological Research Network (ILTER) Atmospheric Deposition and Stream Nitrogen Synthesis
We identified variables controlling stream nitrogen concentrations and fluxes, and how they have changed over time, by synthesizing 20 time series ranging from 5 to 51 years of data collected from forest and grassland dominated watersheds across Europe, North America, and East Asia and across four climate types (tropical, temperate, Mediterranean, and boreal) using the International Long-Term Ecological Research Network. We found declining trends in bulk ammonium and nitrate deposition, with ammonium contributing significantly more to atmospheric nitrogen deposition over time. Among sites, there were significant positive relationships between (1) precipitation and stream ammonium and nitrate fluxes and (2) atmospheric nitrogen inputs and stream nitrogen concentrations and fluxes. There were no significant relationships between air temperature and stream nitrogen export. Our long-term data shows that although nitrogen deposition is declining over time, atmospheric nitrogen inputs and precipitation remain the main predictors for nitrogen exported from forested and grassland watersheds. Overall, we also demonstrate that long-term monitoring provides understanding of ecosystems and biogeochemical cycling that would not be possible with short-term studies alone. Acknowledgements: We thank the organizers and funders of the ILTER Nitrogen Initiative Training Course and Workshop in Hokkaido, Japan in June 2016, which brought together many of the participants in this project. Templer was supported by a US National Science Foundation LTER grant NSF DEB 1637685. McDowell was supported by US National Science Foundation LTER grant NSF DEB 1831592. We are grateful to the EU Horizon 2020 funded eLTER PLUS project (Grand Agreement No. 871128) for financial support to Haase and Dirnböck. Dirnböck was also funded by the LTER-CWN project (FFG project number 858024). This study was partly supported by the Research Initiative Grants of the ILTER, Grants-in-Aid for Scientific Research (1
Long Term Research in Environmental Biology (LTREB): California vernal pool plant community ecology and restoration, 2000-2017
This data set includes annual vegetation data and selected water depth data collected during the period 2000-2017 from vernal pool basins that were constructed in 1999 as part of a large-scale vernal pool mitigation effort at Travis Air Force Base, California. The constructed pools covered an area of about 15 Ha and were located adjacent to a complex of naturally-occurring pools, which were used as reference sites for comparison. Five plant species were intentionally seeded into the pools according to five seeding treatment protocols to assess the influence of order of colonization, frequency of colonization, and dispersal limitation on vernal pool plant community assembly. Because water depth was known to influence plant species distributions, water depth was recorded weekly during the winter wet season in selected years for each constructed and reference pool at the site. Seed plots were 50 cm x 50 cm and were permanently marked and used for repeated sampling of vegetation from 2000-2017. For each plant species that occurred in the plots, the frequency of occurrence was recorded as the number of squares out of a 100-cell grid laid over the plot in which that plant species appeared. For the five species that were planted into the plots, the frequency was recorded, as above, but in addition the number of individuals of that species in the plot was also recorded.
Net nitrogen mineralization and nitrification across Long Term Ecological Research (LTER) Sites
This project organizes data files and code associated with a study evaluating the effect of soil C concentration in the relationship between net N mineralization and net nitrification across terrestrial Long Term Ecological Research (LTER) sites in North America. Data were aggregated from publically-available LTER databases. Replicated-averaged data and code to replicate figures and analyses in Gill et al. 2022. Soil carbon availability decouples net nitrogen mineralization and net nitrification across United States Long Term Ecological Research Site. Biogeochemistry.
Climate Data Summaries for Long-Term Ecological Research Sites
This dataset contains historical climate data and climate summaries from Long-Term Ecological Research sites and other climate stations in their vicinity. It has as its basis "A Climatic Analysis Of Long-Term Ecological Research Sites" created by David Greenland, Timothy KIttel, Bruce Hayden and David Schimel in 1996 (http://climhy.lternet.edu/documents/climdes/). The dataset includes monthly data and summaries aggregating years and months to produce climatic summaries.
No net insect abundance and diversity declines across US Long Term Ecological Research sites
<p>Recent reports of dramatic declines in insect abundance suggest grave consequences for global ecosystems and human society. Most evidence comes from Europe, however, leaving uncertainty about insect population trends worldwide. We used > 5,300 time series for insects and other arthropods, collected over 4-36 years at monitoring sites representing 68 different natural and managed areas, to search for evidence of declines across the United States. Some taxa and sites showed decreases in abundance and diversity while others increased or were unchanged, yielding net abundance and biodiversity trends generally indistinguishable from zero. This lack of overall increase or decline was consistent across arthropod feeding groups, and was similar for heavily disturbed versus relatively natural sites. The apparent robustness of U.S. arthropod populations is reassuring. Yet, this result does not diminish the need for continued monitoring and could mask subtler changes in species composition that nonetheless endanger insect-provided ecosystem services. </p>
Chemical variations in Quercus pollen as a tool for taxonomic identification: implications for long-term ecological and biogeographical research
<p><strong>Aim</strong> </p> <p>Fossil pollen is an important tool for understanding biogeographic patterns in the past, but the taxonomic resolution of the fossil-pollen record may be limited to genus or even family level. Chemical analysis of pollen grains has the potential to increase the taxonomic resolution of pollen, but present-day chemical variability is poorly understood. This study aims to investigate whether a phylogenetic signal is present in the chemical variations of <em>Quercus</em> L. pollen and to assess the prospects of chemical techniques for identification in biogeographic research.</p> <p><strong>Location</strong> </p> <p>Portugal</p> <p><strong>Taxon</strong> </p> <p>Six taxa (five species, one subspecies) of <em>Quercus</em> L., <em>Q. faginea, Q. robur, Q. robur</em> ssp. <em>estremadurensis, Q. coccifera, Q. rotundifolia</em> and <em>Q. suber</em> belonging to three sections: <em>Cerris, Ilex</em>, and <em>Quercus</em> (<a href="https://www.biorxiv.org/content/10.1101/761148v2#ref-13">Denk, Grimm, Manos, Deng, & Hipp, 2017</a>)</p> <p><strong>Methods</strong> </p> <p>We collected pollen samples from 297 individual <em>Quercus</em> trees across a 4° (∼450 km) latitudinal gradient and determined chemical differences using Fourier-transform infrared spectroscopy (FTIR). We used canonical powered partial least-squares regression (CPPLS) and discriminant analysis to describe within- and between-species chemical variability.</p> <p><strong>Results</strong> </p> <p>We find clear differences in the FTIR spectra from <em>Quercus</em> pollen at the section level (<em>Cerris</em>: ∼98%; <em>Ilex</em>: ∼100%; <em>Quercus</em>: ∼97%). Successful discrimination is based on spectral signals related to lipids and sporopollenins. However, discrimination of species within individual <em>Quercus</em> sections is more difficult: overall, species recall is ∼76% and species misidentifications within sections lie between 18% and 31% of the test-set.</p> <p><strong>Main Conclusions</strong> </p> <p>Our results demonstrate that subgenus level differentiation of <em>Quercus</em> pollen is possible using FTIR methods, with successful classification at the section level. This indicates that operator-independent FTIR approaches can surpass traditional morphological techniques using the light microscope. Our results have implications both for providing new insights into past colonisation pathways of <em>Quercus</em>, and likewise for forecasting future responses to climate change. However, before FTIR techniques can be applied more broadly across palaeoecology and biogeography, our results also highlight a number of research challenges that still need to be addressed, including developing sporopollenin-specific taxonomic discriminators and determining a more complete understanding of the effects of environmental variation on pollen-chemical signatures in <em>Quercus</em>.</p>
Chemical variations in Quercus pollen as a tool for taxonomic identification: implications for long-term ecological and biogeographical research
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No net insect abundance and diversity declines across US Long Term Ecological Research sites
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Congruence checks for EML-described datasets in the Long Term Ecological Research (LTER) Network, Checks described as of 2015
These data are descriptions of all checks contributed to the LTER EML Congruence Checker as of late 2015. The EML Congruence Checker (ECC) informs contributors about the structure of the data package, indicating whether the asserted metadata accurately defines the data entity (table); this is called “structural congruence”. The checks and checking software are discussed in O'Brien, M. C, D. Costa and M. Servilla. 2016. Ensuring the quality of data packages in the LTER network data management system. Ecological Informatics. DOI: 10.1016/j.ecoinf.2016.08.001. Data are organized into a flat table, with one row per check. Each check is characterized with multiple typologies including priority, justification, scope (community), response behavior type and data packaging aspect. Operational information for software includes EML path, criteria for pass/fail, response expected, sample datasets for both pass and fail responses, with failure notes. Management fields indicate if the check has been implemented or not (as of paper publication), with dates when the check was added or updated.
EML congruence checker reports from the Long Term Ecological Research Network PASTA system, 2013-2015
These data are results of LTER EML Congruence Checker reports from 9,353 data packages from 2013 to 2015, by 27 current and former LTER sites, plus ad hoc packages contributed by the Network. All data were gleaned from publicly available reports that accompany each data package at upload. These data and related checks and checking software are discussed in O'Brien, M. C, D. Costa and M. Servilla. 2016. Ensuring the quality of data packages in the LTER network data management system. Ecological Informatics. DOI: 10.1016/j.ecoinf.2016.08.001. Data are organized into a denormalized flat table, with one row per check run (nultiple rows per dataset and per entity). No data for error-responses are present, since these data are from uploaded datasets, and datasets with errors are not accepted.
Supplementary material 1 from: Cerrato C, Rocchia E, Brunetti M, Bionda R, Bassano B, Provenzale A, Bonelli S, Viterbi R (2019) Butterfly distribution along altitudinal gradients: temporal changes over a short time period. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 91-118. https://doi.org/10.3897/natureconservation.34.30728
Supplementary data
TRACE-Soils LTER (long-term ecological research) metadata
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Supplementary material 4 from: Azzaro M, Packard TT, Monticelli LS, Maimone G, Rappazzo AC, Azzaro F, Grilli F, Crisafi E, La Ferla R (2019) Microbial metabolic rates in the Ross Sea: the ABIOCLEAR Project. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 441-475. https://doi.org/10.3897/natureconservation.34.30631
: Data type: statistical data
Supplementary material 5 from: Azzaro M, Packard TT, Monticelli LS, Maimone G, Rappazzo AC, Azzaro F, Grilli F, Crisafi E, La Ferla R (2019) Microbial metabolic rates in the Ross Sea: the ABIOCLEAR Project. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 441-475. https://doi.org/10.3897/natureconservation.34.30631
: Data type: measurement
Supplementary material 3 from: Azzaro M, Packard TT, Monticelli LS, Maimone G, Rappazzo AC, Azzaro F, Grilli F, Crisafi E, La Ferla R (2019) Microbial metabolic rates in the Ross Sea: the ABIOCLEAR Project. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 441-475. https://doi.org/10.3897/natureconservation.34.30631
: Data type: measurements
Supplementary material 2 from: Azzaro M, Packard TT, Monticelli LS, Maimone G, Rappazzo AC, Azzaro F, Grilli F, Crisafi E, La Ferla R (2019) Microbial metabolic rates in the Ross Sea: the ABIOCLEAR Project. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 441-475. https://doi.org/10.3897/natureconservation.34.30631
: Data type: parameters data
Supplementary material 1 from: Azzaro M, Packard TT, Monticelli LS, Maimone G, Rappazzo AC, Azzaro F, Grilli F, Crisafi E, La Ferla R (2019) Microbial metabolic rates in the Ross Sea: the ABIOCLEAR Project. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 441-475. https://doi.org/10.3897/natureconservation.34.30631
: Data type: measurement
Supplementary material 1 from: Petriccione B, Bricca A (2019) Thirty years of ecological research at the Gran Sasso d'Italia LTER site: climate change in action. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 9-39. https://doi.org/10.3897/natureconservation.34.30218
: Data type: measurements
Supplementary material 1 from: Balestrini R, Delconte C, Buffagni A, Fumagalli A, Freppaz M, Calvo E, Buzzetti I (2019) Dynamic of nitrogen and dissolved organic carbon in an alpine forested catchment: atmospheric deposition and soil solution trends. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 41-66. https://doi.org/10.3897/natureconservation.34.30738
: Data type: statistical data
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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)
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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.
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.