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63 results for “Plant–soil interaction”
Drought neutralizes positive effects of long-term grazing on grassland productivity through altering plant-soil interactions
<p>Livestock grazing is among the most intensive land-use activities in grasslands and can affect plant communities directly or indirectly via grazing-induced soil legacies. Under climate change, grasslands are threatened globally by recurrent drought. However, the extent to which drought influences grazing-induced soil legacy effects on plant biomass production and community composition remains largely unexplored.</p> <p>We grew five naturally co-occurring plant species (three dominants and two subordinates) in mixed communities in a glasshouse experiment in live and sterilized soil that had or had not been subjected to 19 years of grazing; these plant communities were then exposed to a subsequent drought. We tested the treatment effects on plant community biomass, proportional aboveground biomass of individual species, arbuscular mycorrhizal (AM) fungal root colonization, and soil nutrient availability.</p> <p>Under drought-free conditions, soils from grazed plots produced significantly higher plant aboveground and total community biomass compared to soils from ungrazed plots. In contrast, plant aboveground and total community biomass were similar between grazed and ungrazed soils under drought conditions. Similarly, soils from grazed plots increased the proportional biomass of dominant species but decreased the proportion of subordinate species; however, the proportional biomass of dominant and subordinate species was similar between grazed and ungrazed soils under drought conditions. Soil NO3--N in grazed soil was significantly higher compared to ungrazed soil. Drought dramatically increased soil NO3--N in sterilized soil and had a more pronounced increase in grazed soil than in ungrazed soil. Arbuscular mycorrhizal fungal root colonization from grazed soil was lower compared to ungrazed soil. Drought significantly increased the soil available phosphorus concentration, as well as plant community AM fungal root colonization.</p> <p>Synthesis. Our study suggests that drought can neutralize positive grazing effects on plant community biomass production via altered plant-soil interactions. Also, we found that drought can alleviate the negative effects of grazing legacies on subordinate species by reducing the competitiveness of dominant species. Our study provides new insights for understanding the underlying mechanisms of grazing effects on grassland productivity under climate change.</p>
Data from: Plant-soil interactions during the native and exotic range expansion of an annual plant
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Data from: The impact of elevated temperature and drought on the ecology and evolution of plant-soil microbe interactions
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Drought neutralizes positive effects of long-term grazing on grassland productivity through altering plant-soil interactions
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Data from: Plant attributes interact with fungal pathogens and nitrogen addition to drive soil enzymatic activities and their temporal variation
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Soil fertility as a mediator of interactions between an introduced specialist beetle and a native generalist nematode on an exotic invasive plant and its native congener
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Data from: Competition and soil-microbe mediated interactions following dieback of a dominant wetland plant
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Community-level interactions between plants and soil biota during range expansion
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Soil nitrogen: Interactive Effects of Fertility and Distribution on Plant Community Diversity and Structure
There are four levels of nitrogen, corresponding to treatments A, C, F and G in E001, applied at the same time as in that experiment. For a description of fertilizer added to E052, see file fertilization details. There are four levels of soil disturbance designated 1, 2, 3 and 4. Level 1: undisturbed Level 2: 1 pass with a 7 HP Honda rear-tined rototiller with the elevator set to till to a depth of 9 inches Level 3: 2 passes or however many required to produce about 50% bare ground Level 4: 3 passes or however many required to produce 100% bare ground. This requires 3 passes in some plots but 5 or 6 in others. In addition, all woody vegetation not destroyed by tilling is cut at the base. Rototilling is applied in late April. Each fertilization treatment receives each disturbance treatment, for a total of sixteen treatments. There are four replicates of each of the sixteen treatments. In addition, the four extreme ends (lowest N, lowest disturbance; highest N, lowest disturbance, etc. ) are replicated an additional ten times. Treatments are applied in a completely randomized design. Each of the 104 plots is 5m x 5m. Measurements taken at E052 will include: 1) species abundances, 2) community biomass allocation to leaves/roots/stems/flowers, 3) above and below ground net primary production and 4) rates of nitrogen mineralization. For a list of treatments, see the treatment layouts in file trmte52. The plots in E052 are enclosed by a fence to exclude mammalian herbivores. Galvanized welded-wire hardware cloth with 6mm x 6mm openings was buried to a depth of 50cm. Additional hardware cloth extends 60cm above the ground and poultry netting extends to 2m above the ground. In 1990, ten plots of each of four treatments (N1D1, N1D4, N4D1, N4D4, where N is the level of nitrogen added and D is the disturbance treatment) were randomly selected for the competition experiment. The above and belowground effects of neighbors on transplanted grass seedlings were measured using three
Soil nitrate and ammonium: Interactive Effects of Fertility and Distribution on Plant Community Diversity and Structure
There are four levels of nitrogen, corresponding to treatments A, C, F and G in E001, applied at the same time as in that experiment. For a description of fertilizer added to E052, see file fertilization details. There are four levels of soil disturbance designated 1, 2, 3 and 4. Level 1: undisturbed Level 2: 1 pass with a 7 HP Honda rear-tined rototiller with the elevator set to till to a depth of 9 inches Level 3: 2 passes or however many required to produce about 50% bare ground Level 4: 3 passes or however many required to produce 100% bare ground. This requires 3 passes in some plots but 5 or 6 in others. In addition, all woody vegetation not destroyed by tilling is cut at the base. Rototilling is applied in late April. Each fertilization treatment receives each disturbance treatment, for a total of sixteen treatments. There are four replicates of each of the sixteen treatments. In addition, the four extreme ends (lowest N, lowest disturbance; highest N, lowest disturbance, etc. ) are replicated an additional ten times. Treatments are applied in a completely randomized design. Each of the 104 plots is 5m x 5m. Measurements taken at E052 will include: 1) species abundances, 2) community biomass allocation to leaves/roots/stems/flowers, 3) above and below ground net primary production and 4) rates of nitrogen mineralization. For a list of treatments, see the treatment layouts in file trmte52. The plots in E052 are enclosed by a fence to exclude mammalian herbivores. Galvanized welded-wire hardware cloth with 6mm x 6mm openings was buried to a depth of 50cm. Additional hardware cloth extends 60cm above the ground and poultry netting extends to 2m above the ground. In 1990, ten plots of each of four treatments (N1D1, N1D4, N4D1, N4D4, where N is the level of nitrogen added and D is the disturbance treatment) were randomly selected for the competition experiment. The above and belowground effects of neighbors on transplanted grass seedlings were measured using three
Soil pH: Interactive Effects of Fertility and Distribution on Plant Community Diversity and Structure
There are four levels of nitrogen, corresponding to treatments A, C, F and G in E001, applied at the same time as in that experiment. For a description of fertilizer added to E052, see file fertilization details. There are four levels of soil disturbance designated 1, 2, 3 and 4. Level 1: undisturbed Level 2: 1 pass with a 7 HP Honda rear-tined rototiller with the elevator set to till to a depth of 9 inches Level 3: 2 passes or however many required to produce about 50% bare ground Level 4: 3 passes or however many required to produce 100% bare ground. This requires 3 passes in some plots but 5 or 6 in others. In addition, all woody vegetation not destroyed by tilling is cut at the base. Rototilling is applied in late April. Each fertilization treatment receives each disturbance treatment, for a total of sixteen treatments. There are four replicates of each of the sixteen treatments. In addition, the four extreme ends (lowest N, lowest disturbance; highest N, lowest disturbance, etc. ) are replicated an additional ten times. Treatments are applied in a completely randomized design. Each of the 104 plots is 5m x 5m. Measurements taken at E052 will include: 1) species abundances, 2) community biomass allocation to leaves/roots/stems/flowers, 3) above and below ground net primary production and 4) rates of nitrogen mineralization. For a list of treatments, see the treatment layouts in file trmte52. The plots in E052 are enclosed by a fence to exclude mammalian herbivores. Galvanized welded-wire hardware cloth with 6mm x 6mm openings was buried to a depth of 50cm. Additional hardware cloth extends 60cm above the ground and poultry netting extends to 2m above the ground. In 1990, ten plots of each of four treatments (N1D1, N1D4, N4D1, N4D4, where N is the level of nitrogen added and D is the disturbance treatment) were randomly selected for the competition experiment. The above and belowground effects of neighbors on transplanted grass seedlings were measured using three
Soil nitrate and ammonium: Mechanisms of Grasshopper-Plant Interactions
This experiment is designed to examine the mechanisms of competition among grasshoppers, effects of grasshoppers on plant competition, and the effects of plant species and biomass on the ability of grasshoppers to coexist. The plots were set up within the E026 fenced exclosure. The plots are 60cm x 60cm. They are enclosed by a cage which is 1.2m high. The 240 plots were seeded with monocultures and pairwise combinations of two grasses, Schizachyrium scoparium, Poa pratensis, and a legume Lespedeza capitata. To each plant monoculture and species combination, two grasshopper species were added at high density according to four treatments: each grasshopper species by itself (2 treatments), both species together, and no grasshoppers (empty cage). Introduced grasshoppers were allowed to decline to an "equilibrium" density, as determined by counting all grasshoppers in cages every 5 days. After grasshoppers reached "equilibrium", vegetation was sampled by clipping a 50cm x 5cm strip. Soil samples were taken 5 times during the summer to determine the effect of grasshoppers on available soil nitrogen. For a list of treatments, see the treatment layouts in file trmte71.
Soil nitrate and ammonium: Long-Term Grasshopper-Plant Interactions
This experiment, located out in garden area, is designed to set up permanent grasshopper populations on different combinations of two plant species: Andropogon gerardi and Solidago rigida. The experiment involves 150 plots with 10 different grasshopper treatments: (1) no grasshoppers (empty cage) (2) Arphia conspersa (AC) by itself (3) Pardalophora apiculata (PA) itself (4) AC and PA together (5) Melanoplus femur-rubrum (MF) by itself (6) Spharagemon capillare (SC) by itself (7) MF and SC together (8) AC, PA and MF together (9) AC, PA and SC together (10) AC, PA, MF and SC together. Two male-female adult pairs of each species will be introduced into each 1m2 cage in the summer of 1991 and additional grasshoppers will be added to ensure the initial viability of each grasshopper population. Vegetation will be sampled by clipping 60 x 5cm strips each August (only empty cages will be sampled in 1991). In addition, soil solution concentrations of ammonium and nitrate will be sampled from each plot in May 1991 and September of all ensuing years. Finally, counts of adults and nymphs in each cage will be made in June and August in 1992 and each year thereafter. For a list of treatments, see the treatment layouts in file trmte77.
Data from: Interactions between soil habitat and geographic range location affect plant fitness
Populations are often found on different habitats at different geographic locations. This habitat shift may be due to biased dispersal, physiological tolerances or biotic interactions. To explore how fitness of the native plant Chamaecrista fasciculata depends on habitat within, at and beyond its range edge, we planted seeds from five populations in two soil substrates at these geographic locations. We found that with reduced competition, lifetime fitness was always greater or equivalent in one habitat type, loam soils, though early-season survival was greater on sand soils. At the range edge, natural populations are typically found on sand soil habitats, which are also less competitive environments. Early-season survival and fitness differed among source populations, and when transplanted beyond the range edge, range edge populations had greater fitness than interior populations. Our results indicate that even when the optimal soil substrate for a species does not change with geographic range location, the realized niche of a species may be restricted to sub-optimal habitats at the range edge because of the combined effects of differences in abiotic and biotic effects (e.g. competitors) between substrates.
Data from: Do soil biota influence the outcome of novel interactions between plant competitors?
1. Species are shifting their ranges, for example to higher elevations, in response to climate change. Different plant species and soil microbiota will likely shift their ranges at different rates, giving rise to novel communities of plants and soil organisms. However, the ecological consequences of such novel plant-soil interactions are poorly understood. We experimentally simulated scenarios for novel interactions arising between high- and low elevation plants and soil biota following asynchronous climate change range shifts, asking to what extent the ability of plants to coexist depends on the origin of the soil biota. 2. In a greenhouse experiment, we grew pairs of low- (Poa trivialis and Plantago lanceolata) and high- (Poa alpina and Plantago alpina) elevation plant species alone and against a density gradient of con- or heterospecific neighbours. Plants grew on sterilized field soil that was inoculated with a soil community sampled from either low- or high elevation in the western Swiss Alps. We used the experiment to parameterize competition models, from which we predicted the population-level outcomes of competition in the presence of the different soil biota. 3. In the absence of neighbours, three of the four species produced more biomass with the low elevation soil biota. As a result of generally similar responses across plant species, soil biota tended not to affect plant interaction outcomes, with the low elevation species generally predicted to competitively exclude high elevation species irrespective of the soil biota origin. However, the low elevation grass Poa trivialis was only able to invade communities of Poa alpina in the presence of a low elevation soil biota. This suggests that, at least in some cases, the outcome of novel competitive interactions following climate change will depend on whether shifts in the distribution of plant and soil organisms are asynchronous. 4. Synthesis. Our results indicate that the changing soil communities that plants encounter during range expansion can influence plant performance. However, this is only likely to alter our expectations for the ability of plants to coexist following climate change if plant species respond differently to the change in the soil community.
Data from: Predators in the plant-soil feedback loop: aboveground plant-associated predators may alter the outcome of plant-soil interactions
Plant-soil feedback (PSF) can structure plant communities, promoting coexistence (negative PSF) or monodominance (positive PSF). At higher trophic levels, predators can alter plant community structure by re-allocating resources within habitats. When predator and plant species are spatially associated, predators may alter the outcome of PSF. Here, I explore the influence of plant-associated predators on PSF using a generalized cellular automaton model that tracks nutrients, plants, herbivores, and predators. I explore key contingencies in plant-predator associations such as whether predators associate with live vs. senesced vegetation. Results indicate that plant-associated predators shift PSF to favor the host plant when predators colonize live vegetation, but the outcome of PSF will depend upon plant dispersal distance when predators colonize dead vegetation. I apply the model to two spider-associated invasive plants, finding that spider predators should shift PSF dynamics in a way that inhibits invasion by one forest invader, but exacerbates invasion by another.
Plant traits shape soil legacy effects on individual plant-insect interactions
<p>Plant-mediated soil legacy effects can be important determinants of the performance of plants and their aboveground insect herbivores, but so far, soil legacy effects on plant-insect interactions have been tested for only a limited number of host plant species and soils. Here, we tested the performance of a polyphagous aboveground herbivore, caterpillars of the cabbage moth, <i>Mamestra brassicae</i> on twelve host plant species that were grown on a set of soils conditioned by each of these twelve species. We tested how growth rate (fast- or slow-growing) and functional type (grass or forb) of the plant species that conditioned the soil and of the responding host plant species growing in those soils affect the response of insect herbivores to conditioned soils. Our results show that plants and insect herbivores had lower biomass in soils that were conditioned by fast-growing forbs than in soils conditioned by slow-growing forbs. In soils conditioned by grasses, growth rate of the conditioning plant had the opposite effect, i.e., plants and herbivores had higher biomass in soils conditioned by fast-growing grasses, than in soils conditioned by slow-growing grasses. <a name="_Hlk21962191">We show that the response of aboveground insects to soil legacy effects is strongly positively correlated with the response of the host plant species, indicating that plant vigour may explain these relationships. </a>We provide evidence that soil communities can play an important role in shaping plant-insect interactions aboveground. Our results further emphasize the important and interactive role of the conditioning and the response plant in mediating soil-plant-insect interactions.</p>
Data from: Diffuse symbioses: roles of plant–plant, plant–microbe and microbe–microbe interactions in structuring the soil microbiome
A conceptual model emphasizing direct host–microbe interactions has dominated work on host-associated microbiomes. To understand plant–microbiome associations, however, broader influences on microbiome composition and functioning must be incorporated, such as those arising from plant–plant and microbe–microbe interactions. We sampled soil microbiomes associated with target plant species (Andropogon gerardii, Schizachyrium scoparium, Lespedeza capitata, Lupinus perennis) grown in communities varying in plant richness (1-, 4-, 8- or 16-species). We assessed Streptomyces antagonistic activity and analysed bacterial and Streptomyces populations via 454 pyrosequencing. Host plant species and plant richness treatments altered networks of coassociation among bacterial taxa, suggesting the potential for host plant effects on the soil microbiome to include changes in microbial interaction dynamics and, consequently, co-evolution. Taxa that were coassociated in the rhizosphere of a given host plant species often showed consistent correlations between operational taxonomic unit (OTU) relative abundance and Streptomyces antagonistic activity, in the rhizosphere of that host. However, in the rhizosphere of a different host plant species, the same OTUs showed no consistency, or a different pattern of responsiveness to such biotic habitat characteristics. The diversity and richness of bacterial and Streptomyces communities exhibited distinct relationships with biotic and abiotic soil characteristics. The rhizosphere soil microbiome is influenced by a complex and nested array of factors at varying spatial scales, including plant community, plant host, soil edaphics and microbial taxon and community characteristics.
Effects of soil conditioning, root and shoot litter addition interact to determine the intensity of plant-soil feedback (dataset)
<p>Plant-soil feedback (PSF) is recognized as an important mechanism shaping plant communities and determining plant abundance and coexistence. Under natural conditions, plants affect the outcome of plant-soil interactions simultaneously by conditioning the soil by living roots and by litter inputs into the soil. However, most experimental studies only focus on one of the pathways, which limits our understanding of PSF in the field. </p> <p>Here, we simultaneously explored the effect of soil conditioning by living roots and of root and shoot litter addition on the performance of seven <em>Impatiens</em> species grown in a two-phase garden experiment. </p> <p>Soil conditioning negatively affected plant performance and the effect was at least partly explained by nutrient depletion. Root litter addition affected plant performance negatively and the results suggest that biotic effects such as pathogen transmission via the root litter played a role. The effects of root litter addition were more pronounced in control soil which, contrary to the conditioned soil, supposedly did not accumulate pathogens during the conditioning phase. Shoot litter addition increased soil nutrient levels, but had no impact on plant performance. However, presence of shoot litter aggravated the negative effects of root litter, probably due to increased amounts of nutrients available for soil biota and thus their faster growth and intensified effect on the plants. </p> <p><span></span></p> <p>Overall, our study suggests that root and shoot litter have contrasting roles in plant-soil interactions and understanding their separate and interactive effects together with effects of soil conditioning is crucial for assessing the complexity of PSF.</p>
Raw data: Soil microbes drive aboveground plant–pathogen–insect interactions
<p class="MsoNormal"><span>Plants interact with a large diversity of microbes and insects, both below and above ground. While studies have shown that belowground microbes affect the performance of plants and aboveground organisms, we lack insights into how belowground microbial communities may shape interactions between aboveground pathogens and insects. We investigated how soil microbiomes and aboveground organisms affect plant growth and development, and whether differences in soil microbiomes influence interactions between aboveground organisms. We conducted a growth-chamber experiment with oak seedlings (<em>Quercus robur</em>) growing in three soils with similar abiotic soil properties but with distinct natural soil microbiomes.</span> Seedlings were subjected to single or dual attack by powdery mildew (<em>Erysiphe alphitoides</em>) and aphids (<em>Tuberculatus annulatus</em>), either in the presence or absence of prior attack by a free-feeding caterpillar (<em>Phalera bucephala</em>). <span>Soil microbiomes were associated with differences in seedling height, and seedlings with multiple aboveground organisms had more but smaller leaves than healthy seedlings. The soil microbiome affected the severity of powdery mildew infection, and mediated the impact of co-occurring aboveground organisms on aphid population size. Our study highlights that plant performance is affected by natural soil microbiomes as well as aboveground organisms, and that natural soil microbiomes can affect interactions between pathogens and insects. These findings are important to understand species interactions in natural systems, as well as for practical applications, such as manipulation of soil microbiomes to manage agricultural pests and diseases.</span></p>
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