Data from: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs
| ctrlnum |
3964661 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Firn, Jennifer</creator><creator>McGree, James M.</creator><creator>Harvey, Eric</creator><creator>Flores-Moreno, Habacuc</creator><creator>Schütz, Martin</creator><creator>Buckley, Yvonne M.</creator><creator>Borer, Elizabeth T.</creator><creator>Seabloom, Eric W.</creator><creator>La Pierre, Kimberly J.</creator><creator>MacDougall, Andrew M.</creator><creator>Prober, Suzanne M.</creator><creator>Stevens, Carly J.</creator><creator>Sullivan, Lauren L.</creator><creator>Porter, Erica</creator><creator>Ladouceur, Emma</creator><creator>Allen, Charlotte</creator><creator>Moromizato, Karine H.</creator><creator>Morgan, John W.</creator><creator>Harpole, W. Stanley</creator><creator>Hautier, Yann</creator><creator>Eisenhauer, Nico</creator><creator>Wright, Justin P.</creator><creator>Adler, Peter B.</creator><creator>Arnillas, Carlos Alberto</creator><creator>Bakker, Jonathan D.</creator><creator>Biederman, Lori</creator><creator>Broadbent, Arthur A. D.</creator><creator>Brown, Cynthia S.</creator><creator>Bugalho, Miguel N.</creator><creator>Caldeira, Maria C.</creator><creator>Cleland, Elsa E.</creator><creator>Ebeling, Anne</creator><creator>Fay, Philip A.</creator><creator>Hagenah, Nicole</creator><creator>Kleinhesselink, Andrew R.</creator><creator>Mitchell, Rachel</creator><creator>Moore, Joslin L.</creator><creator>Nogueira, Carla</creator><creator>Peri, Pablo Luis</creator><creator>Roscher, Christiane</creator><creator>Smith, Melinda D.</creator><creator>Wragg, Peter D.</creator><creator>Risch, Anita C.</creator><date>2020-07-25</date><description>Leaf traits are frequently measured in ecology to provide a 'common currency' for predicting how anthropogenic pressures impact ecosystem function. Here, we test whether leaf traits consistently respond to experimental treatments across 27 globally distributed grassland sites across 4 continents. We find that specific leaf area (leaf area per unit mass)—a commonly measured morphological trait inferring shifts between plant growth strategies—did not respond to up to four years of soil nutrient additions. Leaf nitrogen, phosphorus and potassium concentrations increased in response to the addition of each respective soil nutrient. We found few significant changes in leaf traits when vertebrate herbivores were excluded in the short-term. Leaf nitrogen and potassium concentrations were positively correlated with species turnover, suggesting that interspecific trait variation was a significant predictor of leaf nitrogen and potassium, but not of leaf phosphorus concentration. Climatic conditions and pretreatment soil nutrient levels also accounted for significant amounts of variation in the leaf traits measured. Overall, we find that leaf morphological traits, such as specific leaf area, are not appropriate indicators of plant response to anthropogenic perturbations in grasslands.</description><description>NutNet_foliar_dataThis data includes leaf traits that were collected from the three to five most dominant species in each plot including specific leaf area, and leaf N, P and K concentrations. This file also include site level climatic and edaphic conditions: mean annual temperature, temperature seasonality, mean annual precipitation, precipitation seasonality, pre-treatment soil nitrogen by mass %, pre-treatment soil phosphorus by mass (ppm) and pre-treatment soil potassium by mass (ppm). A sheet is included in the data file explains each column and is called metadata.</description><identifier>https://zenodo.org/record/3964661</identifier><identifier>10.5061/dryad.qp25093</identifier><identifier>oai:zenodo.org:3964661</identifier><relation>doi:10.1038/s41559-018-0790-1</relation><relation>url:https://zenodo.org/communities/dryad</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/publicdomain/zero/1.0/legalcode</rights><subject>Leaf traits</subject><subject>edaphic conditions</subject><subject>climatic conditions</subject><subject>Nutrient Network</subject><subject>Specific leaf area</subject><subject>leaf nitrogen content</subject><subject>leaf phosphorus content</subject><subject>leaf potassium content</subject><subject>vertebrate consumers</subject><title>Data from: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs</title><type>Other:info:eu-repo/semantics/other</type><type>Other:dataset</type><recordID>3964661</recordID></dc>
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| format |
Other:info:eu-repo/semantics/other Other Other:dataset Journal:eJournal Journal |
| author |
Firn, Jennifer McGree, James M. Harvey, Eric Flores-Moreno, Habacuc Schütz, Martin Buckley, Yvonne M. Borer, Elizabeth T. Seabloom, Eric W. La Pierre, Kimberly J. MacDougall, Andrew M. Prober, Suzanne M. Stevens, Carly J. Sullivan, Lauren L. Porter, Erica Ladouceur, Emma Allen, Charlotte Moromizato, Karine H. Morgan, John W. Harpole, W. Stanley Hautier, Yann Eisenhauer, Nico Wright, Justin P. Adler, Peter B. Arnillas, Carlos Alberto Bakker, Jonathan D. Biederman, Lori Broadbent, Arthur A. D. Brown, Cynthia S. Bugalho, Miguel N. Caldeira, Maria C. Cleland, Elsa E. Ebeling, Anne Fay, Philip A. Hagenah, Nicole Kleinhesselink, Andrew R. Mitchell, Rachel Moore, Joslin L. Nogueira, Carla Peri, Pablo Luis Roscher, Christiane Smith, Melinda D. Wragg, Peter D. Risch, Anita C. |
| title |
Data from: Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs |
| publishDate |
2020 |
| topic |
Leaf traits edaphic conditions climatic conditions Nutrient Network Specific leaf area leaf nitrogen content leaf phosphorus content leaf potassium content vertebrate consumers |
| url |
https://zenodo.org/record/3964661 |
| contents |
Leaf traits are frequently measured in ecology to provide a 'common currency' for predicting how anthropogenic pressures impact ecosystem function. Here, we test whether leaf traits consistently respond to experimental treatments across 27 globally distributed grassland sites across 4 continents. We find that specific leaf area (leaf area per unit mass)—a commonly measured morphological trait inferring shifts between plant growth strategies—did not respond to up to four years of soil nutrient additions. Leaf nitrogen, phosphorus and potassium concentrations increased in response to the addition of each respective soil nutrient. We found few significant changes in leaf traits when vertebrate herbivores were excluded in the short-term. Leaf nitrogen and potassium concentrations were positively correlated with species turnover, suggesting that interspecific trait variation was a significant predictor of leaf nitrogen and potassium, but not of leaf phosphorus concentration. Climatic conditions and pretreatment soil nutrient levels also accounted for significant amounts of variation in the leaf traits measured. Overall, we find that leaf morphological traits, such as specific leaf area, are not appropriate indicators of plant response to anthropogenic perturbations in grasslands. NutNet_foliar_dataThis data includes leaf traits that were collected from the three to five most dominant species in each plot including specific leaf area, and leaf N, P and K concentrations. This file also include site level climatic and edaphic conditions: mean annual temperature, temperature seasonality, mean annual precipitation, precipitation seasonality, pre-treatment soil nitrogen by mass %, pre-treatment soil phosphorus by mass (ppm) and pre-treatment soil potassium by mass (ppm). A sheet is included in the data file explains each column and is called metadata. |
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IOS17403.3964661 |
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Universitas PGRI Palembang |
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189 |
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library:university library |
| library |
Perpustakaan Universitas PGRI Palembang |
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587 |
| collection |
Marga Life in South Sumatra in the Past: Puyang Concept Sacrificed and Demythosized |
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17403 |
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KOTA PALEMBANG |
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SUMATERA SELATAN |
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IOS17403 |
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2022-07-26T01:27:19Z |
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2022-07-26T01:27:19Z |
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dc |
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1739406629049204736 |
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17.60897 |