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12 results for “soil mixture”
juan-duenas/NHESS: Soil conditioner mixtures as an agricultural management alternative to mitigate drought impacts: a proof-of-concept.
<p>The dataset and the R script have been enhanced and corrected, respectively. The main figures of the associated publication have been added in two different qualities.</p> <p>This data is associated to a paper that will appear in an special issue of the journal Natural Hazards and Earth System Sciences. https://nhess.copernicus.org/articles/special_issue1295.html</p>
Effects of three-dimensional soil heterogeneity and species composition on plant biomass and biomass allocation of grass-mixtures
<p>Soil heterogeneity significantly affects plant dynamics such as plant growth and biomass. Most studies developed soil heterogeneity in two dimensions, i.e. either horizontally or vertically. However, soil heterogeneity in natural ecosystems varies both horizontally and vertically i.e. in three dimensions. Previous studies on plant biomass and biomass allocation rarely considered the joint effects of soil heterogeneity and species composition. Thus, to investigate such joint effects on plant biomass and biomass allocation, a controlled experiment was conducted, where three levels of soil heterogeneity and seven types of species compositions were applied. Such soil heterogeneity was developed by filling nutrient-rich and nutrient-poor substrates in an alternative pattern in pots with different patch sizes (small, medium or large), and species compositions was achieved by applying three plant species (i.e. Festuca elata, Bromus inermis, Elymus breviaristatus) in all possible combinations (growing either in monoculture or in mixtures). Results showed that patch size significantly impacted plant biomass and biomass allocation, which differed among plant species. Specially, at the pot scale, with increasing patch size, shoot biomass decreased, while root biomass and R: S ratio increased, and total biomass tended to show a unimodal pattern, where the medium patch supported higher total biomass. Moreover, at the substrate scale, more shoot biomass and total biomass were found in nutrient-rich substrate. Furthermore, at the community scale, two of the three target plant species growing in monoculture had more shoot biomass than those growing together with other species. Thus, our results indicate soil heterogeneity significantly affected plant biomass and biomass allocation, which differ among plant species, though more research is needed on the generalization on biomass allocation. We propose that soil heterogeneity should be considered more explicitly in studies with more species in long-term experiments.</p>
Soil-Recycled Aggregate-Geopolymer Road Base/Subbase Mixtures: Steps Towards Sustainability
<p>Corresponding data set for Tran-SET Project No. 18GTLSU10. Abstract of the final report is stated below for reference:</p> <p>"This study deals with the development of Soil-Geopolymer mixtures using flyash, alkali activator and recycled aggregates (RAG) including recycled concrete (RCA) and reclaimed asphalt (RAP) as an alternative to soil-cement for pavement base and subbase layers. Several mix constituents were varied such as flyash type and content, RCA and RAP content and ratio of sodium silicate and sodium hydroxide. Experiment design was established and mechanical and durability characteristics of Soil-RAG-Geopolymer mixtures were evaluated and then compared to the conventional soil-cement mixtures. The results of the testing showed that for the selected Soil-RAG-Geopolymer mixtures the strength, stiffness, permanent deformation, and durability characteristics were either comparable or better than the soil-cement mixtures. However, such mixtures required more curing time at room temperature to achieve needed strength. In order to further optimize the practical applications of this technology in the field, other variables such as molarity of alkali activator, curing conditions, early strength development at room and ambient temperatures, gradation of RAG and shrinkage characteristics need be investigated."</p>
Effects of three-dimensional soil heterogeneity and species composition on plant biomass and biomass allocation of grass-mixtures
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Data from: Decomposition of leaf litter mixtures across biomes: The role of litter identity, diversity and soil fauna
<p class="CxSpFirst">1. At broad spatial scales, the factors regulating litter decomposition remain ambiguous, with the understanding of these factors largely based on studies investigating site-specific single litter species, whereas studies using multi litter species mixtures across sites are rare.</p> <p class="CxSpMiddle">2. We exposed in microcosms containing single species and all possible mixtures of four leaf litter species differing widely in initial chemical and physical characteristics from a temperate forest to the climatic conditions of four different forests across the northern hemisphere for one year.</p> <p class="CxSpMiddle">3. Calcium, magnesium and condensed tannins predicted litter mass loss of single litter species and mixtures across forest types and biomes, regardless of species richness and microarthropod presence. However, relative mixture effects differed among forest types and varied with the access to the litter by microarthropods. Access to the microcosms by microarthropods modified the decomposition of individual litter species within mixtures, which differed among forest types independent of litter species richness and composition of litter mixtures. However, soil microarthropods generally only little affected litter decomposition.</p> <p>4. <i>Synthesis</i>. We conclude that litter identity is the dominant driver of decomposition across different forest types and the non-additive litter mixture effects vary among biomes despite identical leaf litter chemistry. These results suggest that across large spatial scales the environmental context of decomposing litter mixtures, including microarthropod communities, determine the decomposition of litter mixtures besides strong litter trait based effects.</p>
From: Soil fauna accelerate litter mixture decomposition globally, especially in dry environments
<p>More than half of net primary production in terrestrial ecosystems returns to the soil through leaf litter fall and decomposition. In terrestrial ecosystems, litter constitutes a mixture of mainly senescent foliage from multiple species. Yet, the effect of litter mixing on litter decomposition rate remains ambiguous. Quantification of the soil fauna contribution and inclusion of their interaction with litter could remove the prevailing ambiguity, as soil fauna might influence the direction and magnitude of litter mixture effects on decomposition.</p> <p>We carried out a global meta-analysis to elucidate how soil fauna influenced litter mixture decomposition rate based on 55 published studies with 873 fauna inclusion/exclusion comparisons in field litterbag experiments. We hypothesized that soil fauna inclusion in litter mixture experiments would cause a positive change in the magnitude of mixed litter decomposition. That is, the presence of soil fauna would lead to synergistic litter mixture effects while the absence of soil fauna would lead to antagonistic litter mixture effects. Furthermore, we hypothesized that soil fauna would have a greater positive impact on the litter mixture effect in environments with low precipitation.</p> <p>While litter mixture had a neutral effect on decomposition on average across studies, non-additive mixture effects were common, with a key role for soil fauna, which generally enhanced decomposition rate compared to the component single species litters. In contrast, fauna exclusion resulted in a diminished decomposition rate overall. The overall synergistic soil fauna effect on litter mixture decomposition increased under low precipitation. Under high precipitation, the litter mixture effect was positive in the absence of soil fauna but non-significant in the presence of fauna. Climate imposes a great effect on litter mixture, with synergistic effects increasing towards the equator.</p> <p>Synthesis: These results highlight the importance of soil fauna in mixed litter decomposition, most strongly in dry environments. In this era of global climate change, where some regions are projected to become drier, soil fauna might compensate the expected slower decomposition of litter by increasingly enhancing litter mixture decomposition. </p>
Data from: Decomposition of leaf litter mixtures across biomes: The role of litter identity, diversity and soil fauna
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From: Soil fauna accelerate litter mixture decomposition globally, especially in dry environments
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MarTREC 6017: Development of Rapid Setting Soil-Cement Mixture Designs and Performance Testing
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plant mixtures on soil microbes
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A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 2001-2022
<p>This dataset is a global estimate of monthly vegetation and soil fractions using spatio-temporally adaptive spectral mixture analysis from 2001-2011. The file is a compressed month-by-month GeoTIFF data for each year, according to the grid of longitude 60° and Latitude 50°. Since the dataset for each year includes 216 files, named as “SMA_year_(month-1)_gridid.tif”, like “SMA_2001_0_0.tif”.</p> <p>The dataset from 2012-2022 can be found in another Zenodo (10.5281/zenodo.8331843)</p> <p>The dataset can be also exported from GEE by our code or achieved by request from authors.</p> <p>Here is a schematic of global girds and id</p> <table> <tbody> <tr> <td><strong>65N</strong></td> <td>2</td> <td>5</td> <td>8</td> <td>11</td> <td>14</td> <td>17</td> </tr> <tr> <td><strong>15N</strong></td> <td>1</td> <td>4</td> <td>7</td> <td>10</td> <td>13</td> <td>16</td> </tr> <tr> <td><strong>35S</strong></td> <td>0</td> <td>3</td> <td>6</td> <td>9</td> <td>12</td> <td>15</td> </tr> <tr> <td> </td> <td><strong>150W</strong></td> <td><strong>90W</strong></td> <td><strong>30W</strong></td> <td><strong>30E</strong></td> <td><strong>90E</strong></td> <td><strong>150E</strong></td> </tr> </tbody> </table>
A global estimate of monthly vegetation and soil fractions from spatio-temporally adaptive spectral mixture analysis during 2012-2022
<p>This dataset is another global estimate of monthly vegetation and soil fractions using spatio-temporally adaptive spectral mixture analysis from 2012-2022. The file is a compressed month-by-month GeoTIFF data for each year, according to the grid of longitude 60° and Latitude 50°. Since the dataset for each year includes 216 files, named as“SMA_year_(month-1)_gridid.tif”, like“SMA_2012_0_0.tif”.</p> <p>The dataset from 2001-2011 can be found in another Zenodo (10.5281/zenodo.8323292)</p> <p>The dataset can be also exported from GEE by our code or achieved by request from authors.</p> <p>Here is a schematic of global girds and id</p> <table> <tbody> <tr> <td><strong>65N</strong></td> <td>2</td> <td>5</td> <td>8</td> <td>11</td> <td>14</td> <td>17</td> </tr> <tr> <td><strong>15N</strong></td> <td>1</td> <td>4</td> <td>7</td> <td>10</td> <td>13</td> <td>16</td> </tr> <tr> <td><strong>35S</strong></td> <td>0</td> <td>3</td> <td>6</td> <td>9</td> <td>12</td> <td>15</td> </tr> <tr> <td> </td> <td><strong>150W</strong></td> <td><strong>90W</strong></td> <td><strong>30W</strong></td> <td><strong>30E</strong></td> <td><strong>90E</strong></td> <td><strong>150E</strong></td> </tr> </tbody> </table>
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