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86 results for “long-term research”
Hydrologic data from long-term research catchments at the Santa Rita and Jornada Experimental Ranges
<p>This datasets contains ecohydrological data collected for the research catchments at the Santa Rita Experimental Range (SRER, 31.817° N, -110.851° W) in southern of Arizona and the Jornada Experimental Range (JER, 32.585° N, -106.603° W) in southern New Mexico. The SRER catchment correspond to a mesquite savanna of the Sonoran Desert and the JER catchment is a mixed shrubland of the Chihuahuan Desert.</p> <p>Dataset includes the following ecohydrological variables at a daily scale:</p> <ul> <li>Year of measurement.</li> <li>Day of year (DOY) of measurement.</li> <li>Precipitation (<em>P</em>).</li> <li>Evapotranspiration (<em>ET</em>).</li> <li>Runoff (<em>Q</em>).</li> <li>Soil moisture (<em>SM</em>).</li> <li>Net Radiation (<em>R<sub>n</sub></em>).</li> <li>Sensible heat flux (<em>H</em>).</li> <li>Latent heat flux (<em>λET</em>).</li> <li>Gross primary production (<em>GPP</em>).</li> <li>Ecosystem respiration (<em>R<sub>eco</sub></em>).</li> <li>Net ecosystem exchange (<em>NEE</em>).</li> <li>Air Temperature (<em>Tair</em>).</li> <li>Relative Humidity (<em>RH</em>).</li> <li>Vapour Pressure Deficit (<em>VPD</em>).</li> </ul> <p>Please cite the next data note together with the dataset:</p> <p>Vivoni, E. R., Perez-Ruiz, E. R., Keller, Z. T., Escoto, E. A., Templeton, R. C., Templeton, N. P., Anderson, C. A., Schreiner-McGraw, A. P., Mendez-Barroso, L. A., Robles-Morua, A., Scott, R. L., Archer, S. R., Peters, D. P. C. 2021. Long-term Research Catchments to Investigate Shrub Encroachment in the Sonoran and Chihuahuan Deserts: Santa Rita and Jornada Experimental Ranges. <em>Hydrological Processes</em>. 35: e14031. <a href="https://urldefense.com/v3/__http://doi.org/10.1002/hyp.14031__;!!IKRxdwAv5BmarQ!OTbdNyLUWzTumWFs0u8j8dW3TT9O3UzM6XrcR-ReiWzf7vxHHKdNTKy8wR27fiHR$">http://doi.org/10.1002/hyp.14031</a></p> <p>This new version incudes three new variables (<em>Tair</em>, <em>RH</em> and <em>VPD</em>), and some carbon and water fluxes were updated to match data used in publications 1 and 2.</p> <p>Related publications:</p> <ol> <li>Perez-Ruiz, E.R., Vivoni, E.R., and Sala, O.E. 2022. <a href="https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4189" target="_blank" rel="noreferrer noopener">Seasonal Carryover of Water and Effects on Carbon Dynamics in a Dryland Ecosystem</a>. <em>Ecosphere.</em> 13(7): e4189.</li> <li>Vivoni, E.R., Perez-Ruiz, E.R., Scott, R.L., Naito, A.T., Archer, S.R., Biederman, J.A., and Templeton, N.P. 2022. <a href="http://www.sciencedirect.com/science/article/pii/S0168192321004494" target="_blank" rel="noreferrer noopener">A Micrometeorological Flux Perspective on Brush Management in a Shrub-encroached Sonoran Desert Grassland</a>. <em>Agricultural and Forest Meteorology</em>. 313: 108763.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2018. <a href="http://agupubs.onlinelibrary.wiley.com/doi/10.1029/2018WR022842">On the Sensitivity of Hillslope Runoff and Channel Transmission Losses in Arid Piedmont Slopes.</a> <em>Water Resources Research</em>. 54(7): 4498-4518.</li> <li>Schreiner-McGraw, A.P., and Vivoni, E.R. 2017. <a href="http://onlinelibrary.wiley.com/doi/10.1002/ecs2.2000/full">Percolation Observations in an Arid Piedmont Watershed and Linkages to Historical Conditions in the Chihuahuan Desert.</a> <em>Ecosphere</em>. 8(11): e02000, <a href="http://dx.doi.org/10.1002/ecs2.2000">http://dx.doi.org/10.1002/ecs2.2000</a></li> <li>Anderson, C.A., and Vivoni, E.R. 2016. <a href="http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015WR018016/abstract">Impact of Land Surface States within the Flux Footprint on Daytime Land-Atmosphere Coupling in Two Semiarid Ecosystems of the Southwestern U.S.</a> <em>Water Resources Research.</em> 52: 4785-4800.</li> <li>Schreiner-McGraw, A.P., Vivoni, E.R., Mascaro, G., and Franz, T.E. 2016. <a href="http://www.hydrol-earth-syst-sci.net/20/329/2016/hess-20-329-2016.html">Closing the Water Balance with Cosmic-ray Soil Moisture Measurements and Assessing Their Relation with Evapotranspiration in Two Semiarid Watersheds.</a> <em>Hydrology and Earth System Sciences</em>. 20: 329-345.</li> <li>Pierini, N.A., Vivoni, E.R., Robles-Morua, A., Scott, R.L., and Nearing, M.A. 2014. <a href="http://onlinelibrary.wiley.com/doi/10.1002/2014WR015781/abstract">Using Observations and a Distributed Hydrologic Model to Explore Runoff Threshold Processes Linked with Mesquite Encroachment in the Sonoran Desert.</a> <em>Water Resources Research</em>. 50(10): 8191–8215.</li> <li>Templeton, R.C., Vivoni, E.R., Méndez-Barroso, L.A., Pierini, N.A., Anderson, C.A., Rango, A., Laliberte, A.S., and Scott, R.L. 2014. <a href="http://www.sciencedirect.com/science/article/pii/S0022169413008718">High-Resolution Characterization of a Semiarid Watershed: Implications on Evapotranspiration Estimates.</a> <em>Journal of Hydrology</em>. 509: 306-319.</li> <li>Vivoni, E.R., Rango, A., Anderson, C.A., Pierini, N.A., Schreiner-McGraw, A., Saripalli, S., and Laliberte, A.S. 2014. <a href="http://www.esajournals.org/doi/abs/10.1890/ES14-00217.1">Ecohydrology with Unmanned Aerial Vehicles.</a> <em>Ecosphere</em>. 5(10): art130. <a href="http://dx.doi.org/10.1890/ES14-00217.1">http://dx.doi.org/10.1890/ES14-00217.1</a></li> </ol> <p> </p>
Simulated corn yield, drainage nitrate load and residual soil nitrate as affected by weather, management and soil-state at seven long-term US Midwest research sites
<p>This data set is the product of a factorial simulation experiment designed to quantify the impact of five environmental factors and five management practices on NO<sub>3</sub> leaching and yield in corn cropping systems. The simulation model used was the Agricultural Production Systems SImulator (APSIM; <a href="https://www.apsim.info/">https://www.apsim.info/</a>). Description of the simulation factors are provided in the metadata.txt file. </p> <p> </p> <p> </p>
Chemical variations in Quercus pollen as a tool for taxonomic identification: implications for long-term ecological and biogeographical research
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Data from: Phosphorus budgets of intensively managed row crops at a long-term agroecosystem research site in the upper US Midwest
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Long-term research and hierarchical models reveal consistent fitness costs of being the last egg in a clutch
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Supplementary material 4 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S4. Head width comparisons among weeks suggest a mix of social traits in L. hitchensi summer females
Is switchgrass good for carbon savings? Long-term results in marginal land Running title: Switchgrass SOC storage capacity in marginal land Walter Zegada-Lizarazu 1, Federica Zanetti 1, Nicola Di Virgilio 2, Andrea Monti 1 1Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 44 – 40127, Bologna, Italy; 2CNR, Institute for the BioEcononomy, National Research Council of Italy, Via P Gobetti 101, I-40129 Bologna, Italy
<p>Growing switchgrass in marginal land can be a valuable option to mitigate the risk of agricultural land abandonment whilst storing a significant amount of soil C. It was found a significant increase in SOC in a 13-years period. A significant positive correlation was observed between the C derived from switchgrass and SOC gain (the estimated switchgrass derived C was 12.7 Mg C ha<sup>-1</sup>). The increased SOC along the field, however, was patchy, with the highest increments registered in the center of the field, while the lowest ones in the top and bottom of the hill.</p>
Detection, Education, Research and Decolonization Without Isolation in Long-term Care Facilities
ClinicalTrials.gov study NCT01302210. IPD Sharing: NO. Countries: 1. Publications: 69.
Long-term Efficacy and Safety Research of Left Bundle Branch Pacing
ClinicalTrials.gov study NCT05600699. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Long-Term Follow-Up of Recipient of Gene Transfer Research
ClinicalTrials.gov study NCT01492036. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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
Supplementary material 2 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S2. Scoring systems for mandibular wear (MW) and wing wear (WW).
Figure 2 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure 2 Wear and ovarian development of adult females caught in spring and summer. Fisher exact tests were used to compare the proportions of spring and summer females in each ovarian category. Unworn summer females with no ovarian development were excluded, as these females likely were newly eclosed. In L. laevissimum and L. hitchensi, spring females were significantly more likely to be fecund (largest oocyte at least 1/2-developed), while in L. ellisiae, spring and summer females showed similar levels of ovarian development (see Table 3 for statistics).
Figure 1 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure 1 Bivoltine flight phenologies of L. laevissimum, L. hitchensi and L. ellisiae, inferred from pan trap collections, 2003–2013. The number of bees collected per week represents the average number of bees collected in pan traps, across sites and years, from 2003 to 2013. A total of 52 L. laevissimum bees, 1480 L. hitchensi bees, and 67 L. ellisiae bees were collected. Dark grey bars represent males, white bars represent spring females and light grey bars represent summer females. The red polynomial regression (drawn using the geom_smooth function, Loess method, in R) was used to help visually identify the number of abundance peaks for each species. Black arrows indicate the weeks when L. hitchensi males were collected in pan traps.
Supplementary material 1 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S1. Right forewing of an L. hitchensi female.
Figure 3 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure 3 Social trait comparisons among spring, early summer and late summer females of L. hitchensi. Spring females were caught in weeks 0 to 8, early summer females in weeks 10 to 15, and late summer females from week 16 onward. Early summer females were larger than late summer females but showed similar signs of wear and ovarian development. See Table 2 for statistical analyses.
Supplementary material 3 from: Corbin LA-J, Awde DN, Richards MH (2021) Phenological and social characterization of three Lasioglossum (Dialictus) species inferred from long-term trapping collections. Journal of Hymenoptera Research 88: 17-38. https://doi.org/10.3897/jhr.88.73220
Figure S3. Scoring systems for ovarian development scores.
TRACE-Soils LTER (long-term ecological research) metadata
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Supplementary material 1 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Detailed design of the Field Experiment
Supplementary material 2 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Brief description of the Field Experiment
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International Brain Laboratory public data
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OpenNeuro
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