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22 results for “leaf phosphorus”

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edi56/100

Plant biomass, leaf area, carbon, nitrogen, and phosphorus in wet sedge tundra, 1994, Arctic LTER, Toolik Lake, Alaska.

Plant biomass, leaf area, carbon, nitrogen, and phosphorus were measured in three wet sedge tundra experimental sites. Treatments at each site included factorial NxP and at the Toolik sites greenhouse and shade house. Treatments started in 1985 (Sag site) and in 1988 (Toolik sites).

openCC (other)Feb 2023View details →
edi52/100

Leaf area index (LAI) recorded from a nitrogen (N), phosphorus (P) and N+P fertilization experiment at the 2007 Anaktuvuk River, Alaska, USA fire scar during the 2016-2019 growing seasons

This file contains leaf area index (LAI) measurements from an nitrogen (N), phosphorus (P) and N+P fertilization experiment established in the southern section of the 2007 Anaktuvuk River fire in 2016. LAI was recorded using a handheld plant canopy analyzer (LI-COR 2200C; LI-COR, Lincoln, NE, USA) Data spans 4 years from 2016 (when fertilization began) until 2019. Data was recorded once a year at the peak of each growing season.

openCC (other)Jan 2020View details →
zenodo48/100

Maize Phosphorus Leaf Deficiency (MPLD) Database | Compact Scientific Camera (original-processed)

<p>This database presents samples of maize leaves placed on a withe background, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).</p><p>Its composed of two folders:</p><ul><li>Original_dataset: 722 jpg images of 1280 x 1020 pixels size divided into '_C', '-P' and '-P50' folders for class labels.</li><li>Processed_dataset: 2433 png images of 224 x 224 pixels size divided into '-C', '-P' and '-P50' folders for class labels.</li></ul>

opencc-by-4.0Dec 2023View details →
zenodo40/100

Maize Phosphorus Leaf Deficiency (MPLD) Database 224x224

<p>Monitoring the nutritional status of crops is crucial to assessing high productivity, optimizing cost, and minimizing environmental impact. Given that nutritional deficiencies primarily manifest through visual characteristics, artificial vision stands out as a competitive choice to assess the nutritional status of individual plants.</p><p>However, in order to train a supervised artificial vision system driven by convolutional neural networks (CNNs), a high amount of data, properly formatted and labeled is necessary. This work&nbsp;presents a curated image database to study single-nutrient deficiencies, specifically, phosphorus deficiency in maize leaves, named Maize Phosphorus Leaf Deficiency (MPLD) Database.</p><p>This database is composed of <strong>20892 </strong>samples of maize leaves placed on a withe background. Images are <strong>224x224</strong> pixels size, representing three levels of phosphorus deficiency: complete absence of the nutrient (labeled -P), half dose of the required phosphorus for normal plant development (-P50), and complete supply (C).&nbsp;</p>

opencc-by-4.0Oct 2023View details →
edi40/100

Data for Global Patterns of Nitrogen and Phosphorus in Reproductive and Leaf Litterfall, 1966 to 2022

Reproductive and leaf litterfall nitrogen and phosphorus data was compiled from previously published studies and is global in extent. The publication years from which data was obtained spans from 1966 to 2022. The data was compiled in order to assess global scale trends of nitrogen and phosphorus in both reproductive and leaf litterfall. This dataset was used in "Global Patterns of Nitrogen and Phosphorus in Reproductive and Leaf Litterfall", published in Ecosystems, by Steven W. Gougherty and Pamela H. Templer.

openCC0Sep 2024View details →
edi40/100

Long-term Carbon and Nitrogen, and Phosphorus Dynamics of Leaf and Fine Root Litter project (LIDET-Long-term Intersite Decomposition Experiment Team) data for the ARC, Arctic LTER. 1990 to 2000.

This file is from the Long-term Carbon and Nitrogen, and Phosphorus Dynamics of Leaf and Fine Root Litter project (LIDET-Long-term Intersite Decomposition Experiment Team). This file contains only the Arctic LTER data. In particular the mass looses over the ten year study. Three types of fine roots (graminoid, hardwood, and conifer), six types of leaf litter (which ranged in lignin/nitrogen ratio from 5 to 75), and wooden dowels were used for litter incubations over a ten year period.

openOpenDec 2015View details →
edi40/100

Nitrogen and Phosphorus resorption of thin-leaf alder growing in control, N-fertilized, and P-fertilized plots across a floodplain successional gradient.

This file includes data for leaf N and P concentrations, specific leaf weight, and N and P resorption for thin-leaf alder during the 2009 growing in control, N-fertilized, and P-fertilized stands in early-, mid- and late-successional stages along the Tanana River.

openOpenMar 2013View details →
dryad36/100

Global leaf sulphur stoichiometry and the relationships with nitrogen and phosphorus: phylogeny, growth form and environmental controls

<p>Sulphur (S) is an essential bioelement with vital roles in serving regulatory and catalytic functions, and tightly coupled with N and P in plants. However, globally stoichiometric patterns of leaf S and its relationships to leaf N and P are less well studied. We compiled 31,939 records of leaf-based data for 2,600 plant species across 6,652 sites worldwide. All plant species were divided into different phylogenetic taxa and growth forms. Standard major axis analysis was employed to fit the bivariate element relationships. A phylogenetic linear mixed effect model and a multiple regression model were used to partition the variations of bioelements into phylogeny and environments, and then to estimate the importance of environmental variables. Global geometric mean leaf S, N and P concentrations were 1.44, 15.70 and 1.27 mg g-1, with significant differences among plant groups. Leaf S-N-P positively correlated to each other, ignoring plant groups. The scaling exponents of LN-LS, LP-LS and LN-LP were 0.64, 0.76 and 0.79 for all species, but differed among plant groups. Both phylogeny and environments regulated the bioelements. The variability, rather than mean temperature controlled the bioelements. Phylogeny explained more for the concentrations of all the three bioelements than environments, of which S was the one most affected by phylogenetic taxa.</p>

opencc-zeroMar 2024View details →
zenodo36/100

Figure 4. Regression between senescence leaf N in Foliar resorption of nitrogen and phosphorus in Alcea apterocarpa (Malvaceae) in different habitats types

Figure 4. Regression between senescence leaf N/P ratio and RE and RP of A. apterocarpa.

opencc-by-4.0Nov 2022View details →
zenodo36/100

Figure 3. Regression between green leaf N in Foliar resorption of nitrogen and phosphorus in Alcea apterocarpa (Malvaceae) in different habitats types

Figure 3. Regression between green leaf N/P ratio and RE and RP of A. apterocarpa.

opencc-by-4.0Nov 2022View details →
zenodo36/100

Vertical profiles of leaf photosynthesis and leaf traits, and soil nutrients in two tropical rainforests in French Guiana before and after a three-year nitrogen and phosphorus addition experiment

<p>We provide a comprehensive dataset of vertical profiles of photosynthetic capacity and important leaf traits, including leaf N and P concentrations, from two three-year, large-scale fertilisation experiments conducted in two tropical rainforests in French Guiana. These data present a unique source of information to further improve model representations of the roles of N, P, and other leaf nutrients, in photosynthesis in tropical forests. To further facilitate the use of our data in syntheses and model studies, we provide an elaborate list of ancillary data, including important soil properties and nutrients, along with the leaf data. As environmental drivers are key to improve our understanding of carbon&nbsp;(C)-nutrient cycle interactions, this comprehensive dataset will aid to further enhance our understanding of how nutrient availability interacts with C uptake in tropical forests.</p>

opencc-by-4.0Apr 2021View details →
dryad36/100

Functionally dissimilar neighbors improve tree water use efficiency through increases in leaf phosphorus concentration

<p><span>Water use efficiency (WUE) is central to the global cycles of water and carbon.</span> However, whether increasing tree diversity in plantation can increase WUE remain poorly understood. Here, we conduct a forest biodiversity experiment with 32 tree species spread in 14 ha in subtropical China to assess the effects of neighboring tree diversity on foliar WUE of <em>Cunninghamia lanceolata</em>, a widespread tree plantation species in China. We measure foliar <span>δ<sup>13</sup>C as the proxies of changes in intrinsic WUE. Folia P concentrations of focal trees increase with trait dissimilarities between focal trees and neighbors, and the increased foliar P concentrations improve foliar WUE of focal trees. This neighborhood complementarity effect on WUE is stronger under more shaded neighborhood. However, neighborhood biodiversity did not significantly affect foliar δ<sup>18</sup>O, a surrogate for stomatal conductance. These findings suggest that tree biodiversity increases WUE through the complementary usages of soil P between neighboring tree species.</span></p>

opencc-zeroJun 2022View details →
dryad36/100

Higher phosphorus and water use efficiencies and leaf stoichiometry contribute to legume success in drylands

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publicAug 2024View details →
dryad36/100

Functionally dissimilar neighbors improve tree water use efficiency through increases in leaf phosphorus concentration

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publicJun 2022View details →
dryad36/100

Global leaf sulphur stoichiometry and the relationships with nitrogen and phosphorus: phylogeny, growth form and environmental controls

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publicMay 2024View details →
dryad36/100

Data from: Chronic phosphorus enrichment and elevated pH suppresses Quercus spp. leaf litter decomposition in a temperate forest

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publicMay 2019View details →
edi36/100

Leaf carbon, nitrogen and phosphorus:Natural Enemies, Plant Diversity and Plant Community Composition

The purpose of this experiment is to determine the influences of natural enemies, including plant pathogenic fungi and insect pests, influence plant community composition, productivity, and diversity over time. The experiment is being conducted in a subset of plots within the Big Biodiversity field, including monoculture, 2-species, 4-species, 8-species, 16-species, and 32-species plots. There are 5 different treatments: foliar fungicide, soil drench fungicide, foliar insecticide, the combination of all pesticides, and nontreated control. The pesticides are applied repeatedly throughout the growing season. Within the plots, community productivity, species composition, percent cover, and pest damage are being quantified over time.

openCC0Jan 2018View details →
dryad32/100

The community-level scaling relationship between leaf nitrogen and phosphorus changes with plant growth, climate and nutrient limitation

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publicFeb 2020View details →
zenodo28/100

Leaf economic strategies drive global variation in phosphorus stimulation of terrestrial plant production

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opencc-by-4.0Feb 2025View details →
dryad28/100

Data from: Nutrient addition affects scaling relationship of leaf nitrogen to phosphorus in Arabidopsis thaliana

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publicSep 2019View details →

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International Brain Laboratory public data

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