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Thematische Bibliographien / Plant-soil relationships / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Plant-soil relationships“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 30. Juli 2024

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1

&NA;. "Soil-Plant Relationships." Soil Science 146, no. 3 (September 1988): 208. http://dx.doi.org/10.1097/00010694-198809000-00010.

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2

Lemoigne, Yves. "Soil-plant relationships, an ecological approach." Geobios 21, no. 2 (January 1988): 260. http://dx.doi.org/10.1016/s0016-6995(88)80024-x.

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3

Lathwell, D. J., and T. L. Grove. "Soil-Plant Relationships in the Tropics." Annual Review of Ecology and Systematics 17, no. 1 (November 1986): 1–16. http://dx.doi.org/10.1146/annurev.es.17.110186.000245.

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4

Keymer, Daniel P., and Richard A. Lankau. "Disruption of plant-soil-microbial relationships influences plant growth." Journal of Ecology 105, no. 3 (January 16, 2017): 816–27. http://dx.doi.org/10.1111/1365-2745.12716.

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5

Marrs, R. H., and D. W. Jeffrey. "Soil-Plant Relationships: An Ecological Approach. (1987)." Journal of Applied Ecology 25, no. 1 (April 1988): 367. http://dx.doi.org/10.2307/2403637.

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6

Golley, Frank B. "Chemical plant-soil relationships in tropical forests." Journal of Tropical Ecology 2, no. 3 (August 1986): 219–29. http://dx.doi.org/10.1017/s0266467400000845.

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ABSTRACTPlant and soil samples collected from four tropical forest areas were used to examine the correlation between the chemical abundances in soil and vegetation. On fertile soils in Panama and Colombia soil concentrations of copper, manganese, cobalt and zinc were correlated with plant concentrations. Calcium, caesium, iron, lead, magnesium, phosphorus, potassium, sodium and strontium-concentrations were not correlated. Factor analysis of plant chemistry at nine sites showed very little commonality between sites, even of vegetation belonging to the same plant association. A copper, manganese, cobalt, zinc factor was not recognized except in one case. A similar study of plant soil correlation in Colombia supported the conclusions from Panama; for most elements there was little evidence for significant correlation between plant and soil concentrations.Analysis of plant-soil relationships on very infertile latosols with terra firme forest in the Amazon at San Carlos de Rio Negro, Venezuela and Manaus, Brazil revealed a soil effect on the statistical distributions of the elements in the plant biomass. This effect was strongest on the least fertile site at Manaus and was strongest for essential elements. The pattern of chemical distributions appears to be due to the fact that some species are capable of concentrating high levels of elements even under conditions of very low supply in the substrate.

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Pastor, John. "Soil-Plant Relationships: A Gordian Knot Remains Tied." Ecology 69, no. 3 (June 1988): 874. http://dx.doi.org/10.2307/1941038.

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8

Xi, Nianxun, Peter B. Adler, Dongxia Chen, Hangyu Wu, Jane A. Catford, Peter M. Bodegom, Michael Bahn, Kerri M. Crawford, and Chengjin Chu. "Relationships between plant–soil feedbacks and functional traits." Journal of Ecology 109, no. 9 (July 12, 2021): 3411–23. http://dx.doi.org/10.1111/1365-2745.13731.

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9

Siegel, S. M., and B. Z. Siegel. "Temperature determinants of plant-soil-air mercury relationships." Water, Air, and Soil Pollution 40, no. 3-4 (August 1988): 443–48. http://dx.doi.org/10.1007/bf00163747.

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10

Shand, C. A. "Nutrient Elements in Grassland: Soil-Plant-Animal Relationships." Grass and Forage Science 56, no. 2 (June 29, 2001): 200. http://dx.doi.org/10.1046/j.1365-2494.2001.00255.x.

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11

Shiel, R. S. "Nutrient Elements in Grassland: Soil-Plant-Animal Relationships." European Journal of Soil Science 52, no. 3 (September 2001): 523–24. http://dx.doi.org/10.1046/j.1365-2389.2001.00418-5.x.

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12

Lebzien, Peter. "Nutrient Elements in Grassland: Soil–Plant–Animal Relationships." Animal Feed Science and Technology 89, no. 3-4 (February 2001): 209. http://dx.doi.org/10.1016/s0377-8401(01)00192-4.

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13

Andersen, C. P., and P. T. Rygiewicz. "Understanding plant-soil relationships using controlled environment facilities." Advances in Space Research 24, no. 3 (January 1999): 309–18. http://dx.doi.org/10.1016/s0273-1177(99)00484-6.

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14

Oenema, Oene. "Nutrient Elements in Grassland; Soil–Plant–Animal Relationships." Geoderma 104, no. 1-2 (November 2001): 177–79. http://dx.doi.org/10.1016/s0016-7061(01)00052-0.

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15

Bittman, Shabtai. "Nutrient Elements in Grassland: Soil–plant–animal relationships." Soil and Tillage Research 63, no. 1-2 (December 2001): 85–87. http://dx.doi.org/10.1016/s0167-1987(01)00233-1.

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16

Clarke, Mike J., and Ron H. Allen. "Peatland soil-plant relationships in the New Forest." Aquatic Botany 25 (January 1986): 167–77. http://dx.doi.org/10.1016/0304-3770(86)90052-5.

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17

McNeill, Ann. "Nutrient Elements in Grassland: Soil–Plant–Animal Relationships." Agriculture, Ecosystems & Environment 86, no. 3 (September 2001): 323–24. http://dx.doi.org/10.1016/s0167-8809(01)00203-1.

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18

Marion, G. M., S. J. Hastings, S. F. Oberbauer, and W. C. Oechel. "Soil-plant element relationships in a tundra ecosystem." Ecography 12, no. 3 (October 1989): 296–303. http://dx.doi.org/10.1111/j.1600-0587.1989.tb00849.x.

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19

Dell'Abate, M. T., A. Benedetti, P. Nardi, E. Di Bartolomeo, and G. Fabrizio. "SOIL-PLANT RELATIONSHIPS IN THE CIMINI-SABATINI HAZELNUT DISTRICT: PLANT NUTRITION AND SOIL FERTILITY STATUS." Acta Horticulturae, no. 845 (October 2009): 391–98. http://dx.doi.org/10.17660/actahortic.2009.845.61.

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20

Thakur, Madhav P., Wim H. van der Putten, Rutger A. Wilschut, G. F. (Ciska) Veen, Paul Kardol, Jasper van Ruijven, Eric Allan, Christiane Roscher, Mark van Kleunen, and T. Martijn Bezemer. "Plant–Soil Feedbacks and Temporal Dynamics of Plant Diversity–Productivity Relationships." Trends in Ecology & Evolution 36, no. 7 (July 2021): 651–61. http://dx.doi.org/10.1016/j.tree.2021.03.011.

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21

Anacker, B. L., T. R. Seastedt, T. M. Halward, and A. L. Lezberg. "Soil carbon and plant richness relationships differ among grassland types, disturbance history and plant functional groups." Oecologia 196, no. 4 (July 25, 2021): 1153–66. http://dx.doi.org/10.1007/s00442-021-04992-x.

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AbstractUnderstanding the relationship of soil carbon storage and species diversity in grasslands can provide insights into managing these ecosystems. We studied relationships among soil C and plant species richness within ~ 9700 ha of grasslands in Colorado, US. Using 141 grassland transects, we tested how soil C was related to plant species richness, grassland type, soil texture, and prairie dog presence. Soil C was significantly, positively related to plant species richness, while native perennial graminoid species richness exhibited an even stronger positive relationship. However, the relationship of soil C and plant richness was not found in all three grassland types studied, but instead was unique to the most common grassland type, mixed grass prairie, and absent from both xeric tallgrass and mesic tallgrass prairie. The presence of a single indicator species, Andropogon gerardii, showed a significant, positive relationship with soil carbon. Our best possible model explained 45% of the variance in soil C using species richness, grassland type, and their interaction. Surprisingly, soil C was negatively related to soil clay, suggesting that surface clays amplify evaporation and water runoff rather than protecting soil organic matter from decomposition. Soil C was negatively related to prairie dog presence, suggesting that prairie dogs do not enhance soil carbon sequestration; in fact, prairie dog occupied sites had significantly lower soil C, likely related to loss of topsoil from prairie dog colonies. Our results suggest that management for species richness provides the co-benefit of soil C storage, and high clay and prairie dog disturbance compromises both.

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Khabir, Md Imam ul, Daphne Topps, Jannatul Ferdous Jhumur, Anthony Adesemoye, Jasmine Brown, Antoine Newman, Boakai K. Robertson, Javed Iqbal, and Muhammad Saleem. "Linking Rhizosphere Soil Aggregates with Belowground and Aboveground Plant Traits." Ecologies 4, no. 1 (February 8, 2023): 74–87. http://dx.doi.org/10.3390/ecologies4010007.

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Rhizosphere soil ecosystems are represented by the diversity of different soil aggregate-size classes, such as large macroaggregates, small macroaggregates, mesoaggregates, and microaggregates. Though these aggregate-size classes represent distinct biological, chemical, and physical properties, little is known about their dynamics and relationships with belowground and aboveground plant traits. In this study, we examined the relationships of various soil aggregate-size classes and their organic carbon contents with many aboveground and belowground soybean plant traits. Our study revealed several novel and interesting relationships between soil structural properties and plant traits. Notably, small macroaggregates represented a major portion of the rhizosphere soil ecosystem of soybean plants while organic carbon contents decreased with decreasing size of soil aggregates. Only microaggregates showed a significant relationship with root architectural traits, such as length and surface area. Among all soil aggregate size classes, the abundance of small macroaggregates and the organic carbon contents of microaggregates were better correlated with plant traits. In general, organic carbon contents of different soil aggregate-size classes showed positive correlations with leaf trichome density (defense traits) and major macronutrients, such as root P, K, and S contents; while there were mostly negative correlations with some micronutrient (Ca, Mn, Zn, Cu, B, and Mg) contents of roots and shoots. However, the abundance of small macroaggregates mostly positively correlated with the mineral contents of plant roots and shoots. Collectively, the positive and negative correlations of organic carbon contents of different soil aggregate-size classes with trichomes (defense) and physiological traits (micro-mineral contents) suggest their significance in plant nutrition and defense. Though our results suggest the relationships of soil aggregate properties with aboveground and belowground traits, further research is needed to discern the role of soil structural traits in mediating plant growth, development, defense, and physiology.

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Rust, Will, Madison Sotkewicz, Zhaoxing Li, Theresa Mercer, and Alice S. Johnston. "Soil–Plant–Pollinator Relationships in Urban Grass and Meadow Habitats: Competing Benefits and Demands of Tall Flowering Plants on Soil and Pollinator Diversity." Diversity 16, no. 6 (June 19, 2024): 354. http://dx.doi.org/10.3390/d16060354.

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Urban green spaces can be important habitats for soil, plant, and pollinator diversity and the complementary ecosystem functions they confer. Most studies tend to investigate the relationships between plant diversity with either soil or pollinator diversity, but establishing their relationship across habitat types could be important for optimising ecosystem service provision via alternative management (for instance, urban meadows in place of short amenity grass). Here, we investigate soil–plant–pollinator relationships across urban grass and meadow habitats through a range of measured biodiversity (soil mesofauna and macrofauna, plants, aboveground invertebrates, and pollinators) and edaphic variables. We found significant effects of habitat type on available nutrients (plant and soil C:N ratios) but less clear relationships were observed between habitat type and diversity metrics. Soil–plant–pollinator interactions across habitat types and sites showed an interconnection, whereby flowering plant abundance increased alongside soil macrofauna abundance. Site characteristics that showed strong effects on plant and invertebrate diversity metrics were C:N ratios (plant and soil) and soil pH, suggesting a potential role of nutrient availability on soil–plant–pollinator associations. Our results suggest that a combination of short-mown grass, tall grass, and sown flowers can provide greater benefits for soil and pollination services as each habitat type benefits different taxa due to differing sensitivities to management practices. For example, pollinators benefit from sown flowers but soil fauna are sensitive to annual sowing. Our results also indicate that sown flowers may not optimise overall biodiversity as expected due to disturbance and the depleting role of tall, flowering plants on soil nutrient availability. Future research across a greater range of sites in urban landscapes would resolve the potential role of nutrient availability in modulating soil–plant–pollinator interactions in urban green spaces.

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Liang, Minxia, Xubing Liu, Ingrid M. Parker, David Johnson, Yi Zheng, Shan Luo, Gregory S. Gilbert, and Shixiao Yu. "Soil microbes drive phylogenetic diversity-productivity relationships in a subtropical forest." Science Advances 5, no. 10 (October 2019): eaax5088. http://dx.doi.org/10.1126/sciadv.aax5088.

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The relationship between plant diversity and productivity and the mechanisms underpinning that relationship remain poorly resolved in species-rich forests. We combined extensive field observations and experimental manipulations in a subtropical forest to test how species richness (SR) and phylogenetic diversity (PD) interact with putative root-associated pathogens and how these interactions mediate diversity-productivity relationships. We show that (i) both SR and PD were positively correlated with biomass for both adult trees and seedlings across multiple spatial scales, but productivity was best predicted by PD; (ii) significant positive relationships between PD and productivity were observed in nonsterile soil only; and (iii) root fungal diversity was positively correlated with plant PD and SR, while the relative abundance of putative pathogens was negatively related to plant PD. Our findings highlight the key role of soil pathogenic fungi in tree diversity-productivity relationships and suggest that increasing PD may counteract negative effects of plant-soil feedback.

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Gleason, S. M., K. C. Ewel, and N. Hue. "Soil redox conditions and plant–soil relationships in a micronesian mangrove forest." Estuarine, Coastal and Shelf Science 56, no. 5-6 (April 2003): 1065–74. http://dx.doi.org/10.1016/s0272-7714(02)00307-4.

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26

Rao, DVK Nageswara, Thomas Eappen, A. Ulaganathan, GC Satisha, and Nushanair. "Influence of landscape attributes on soil-plant inter-relationships." Current Advances in Agricultural Sciences(An International Journal) 6, no. 2 (2014): 142. http://dx.doi.org/10.5958/2394-4471.2014.00007.0.

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27

Edwards, Clive A. "Soil-Plant Relationships: An Ecological Approach. David W. Jeffrey." Quarterly Review of Biology 64, no. 4 (December 1989): 499–500. http://dx.doi.org/10.1086/416504.

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28

Abella, Scott R., Lindsay P. Chiquoine, and Cheryl H. Vanier. "Characterizing soil seed banks and relationships to plant communities." Plant Ecology 214, no. 5 (April 25, 2013): 703–15. http://dx.doi.org/10.1007/s11258-013-0200-3.

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29

Foxx, Alicia J., and Siobhán T. Wojcik. "Plasticity in response to soil texture affects the relationships between a shoot and root trait and responses vary by population." Folia Oecologica 48, no. 2 (July 1, 2021): 199–204. http://dx.doi.org/10.2478/foecol-2021-0020.

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Abstract The relationships between shoot and root traits can inform plant selection for restoration, forestry, and agriculture and help to identify relationships that inform plant productivity and enhance their performance. But the strength of coordination between above- and belowground morphological and physiological traits varies due to differences in edaphic properties and population variation. More assessments are needed to determine what conditions influence these relationships. So, we tested whether plant population and soil texture affect the relationship between shoot and root traits which have important ecological ramifications for competition and resource capture: shoot height and root tip production. We grew seedlings of two populations of Bromus tectorum due to is fast growing nature in a growth chamber in loam soil, sand, and clay. We found variation in height by plant population and the substrate used (R2 = 0.44, p < 0.0001), and variation in root tip production by the substrate used (R2 = 0.33, p < 0.0001). Importantly, we found that relationships between shoot height and root tip production varied by soil texture and population (R2 = 0.54, p < 0.0001), and growth in sand produced the strongest relationship and was the most water deficient substrate (R2 = 0.32). This shows that screening populations under several environments influences appropriate plant selection.

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Gökmen, Fatih, Veli Uygur, and Enise Sukuşu. "Investigation of Relationships Between Available Boron and Soil Properties." Romanian Agricultural Research 40 (2023): 385–93. http://dx.doi.org/10.59665/rar4036.

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Soil formation processes and cropping and management practices affect plant-available amounts of boron (B) in soils. Using Pearson's correlation and principal component analyses, this study investigated the relationships between soil properties and plant-available boron concentrations in 69 soil samples. In principal component analysis (PCA), 73.079% of the variance was explained with four components. Plant-available B in the soil was significantly correlated with phosphorus, potassium, pH, and electrical conductivity (EC), showing that phosphorus and potassium fertilizer producers would be adding boron to fertilizers, although it is not mentioned on their packages. Also, the tide correlation between B and either soil pH and EC was attributed to greater solubility B, pH and EC. The majority of the experimental soils were deficient in boron. Therefore, boron fertilizer must be added to the fertilization program to mitigate the losses caused by boron deficiency in low-input agricultural production fields.

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Mundy, G. N., K. L. Greenwood, K. B. Kelly, S. M. Austin, and K. E. Dellow. "Improved soil and irrigation management for forage production 3. Plant - soil - water relationships." Australian Journal of Experimental Agriculture 46, no. 3 (2006): 327. http://dx.doi.org/10.1071/ea04097.

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A field experiment was conducted from January 2000 for 2.5 years, at the Department of Primary Industries, Kyabram, in northern Victoria. The experiment determined the effect of soil modification, with and without subsurface drainage, on the yield and water use of tall fescue (Festuca arundinacea), lucerne (Medicago sativa), phalaris (Phalaris aquatica) and perennial ryegrass (Lolium perenne) under 2 irrigation frequencies. The soil was a red-brown earth. The forages were spray irrigated from August to May when evaporation minus rainfall (E – R) reached 45–50 mm (frequent) or 90–100 mm (infrequent). The depth of irrigation water applied was equal to the soil water deficit (SWD) of each treatment, measured before each irrigation. Soil modification did not change the plant available water content of the soil (about 115 mm). The apparent depth of water extraction was initially different between soil management treatments but, over time, these differences disappeared. There were consistent differences between the forage species in the apparent depth of soil water extraction. Lucerne extracted water from deeper in the soil than phalaris followed by tall fescue and then perennial ryegrass. In general, the infrequently irrigated forages extracted water from deeper in the soil than did the frequently irrigated forages. The frequently irrigated treatments received slightly more water than did the infrequent treatments. The depth of water applied to the control and modified soil was similar, whereas the drained soils received more water than did the undrained treatments. There were differences between the forages in the depth of water applied, with lucerne receiving up to about 1500 mm/year and the grasses about 1100 to 1300 mm/year. Water use efficiency [kg dry matter (DM)/ha.mm] of the forages ranged from 14 to 18 kg DM/ha.mm in 2000–01 and up to 24 kg DM/ha.mm in 2001–02. The relatively high water use efficiencies were largely due to the high yields achieved, as water use was similar to that of district farms.

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Wu, Yu Ting, Jessica Gutknecht, Karin Nadrowski, Christian Geißler, Peter Kühn, Thomas Scholten, Sabine Both, et al. "Relationships Between Soil Microorganisms, Plant Communities, and Soil Characteristics in Chinese Subtropical Forests." Ecosystems 15, no. 4 (April 5, 2012): 624–36. http://dx.doi.org/10.1007/s10021-012-9533-3.

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Trap, Jean, Patricia Mahafaka Ranoarisoa, Usman Irshad, and Claude Plassard. "Richness of Rhizosphere Organisms Affects Plant P Nutrition According to P Source and Mobility." Agriculture 11, no. 2 (February 16, 2021): 157. http://dx.doi.org/10.3390/agriculture11020157.

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Plants evolve complex interactions with diverse soil mutualist organisms to enhance P mobilization from the soil. These strategies are particularly important when P is poorly available. It is still unclear how the soil P source (e.g., mineral P versus recalcitrant organic P) and its mobility in the soil (high or low) affect soil mutualist biological (ectomycorrhizal fungi, bacteria and bacterial-feeding nematodes) richness—plant P acquisition relationships. Using a set of six microcosm experiments conducted in growth chamber across contrasting P situations, we tested the hypothesis that the relationship between the increasing addition of soil mutualist organisms in the rhizosphere of the plant and plant P acquisition depends on P source and mobility. The highest correlation (R2 = 0.70) between plant P acquisition with soil rhizosphere biological richness was found in a high P-sorbing soil amended with an organic P source. In the five other situations, the relationships became significant either in soil conditions, with or without mineral P addition, or when the P source was supplied as organic P in the absence of soil, although with a low correlation coefficient (0.09 < R2 < 0.15). We thus encourage the systematic and careful consideration of the form and mobility of P in the experimental trials that aim to assess the role of biological complexity on plant P nutrition.

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Tian, Zhun, Rui Wang, Zihan Sun, Yang Peng, Mingfeng Jiang, Shiqi Wu, Ziqiang Yuan, Xin Song, Chao Fang, and Jordi Sardans. "Non-Linear Relationships between Fine Root Functional Traits and Biomass in Different Semi-Arid Ecosystems on the Loess Plateau of China." Forests 15, no. 7 (July 15, 2024): 1226. http://dx.doi.org/10.3390/f15071226.

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As a key soil carbon process, changes in plant root growth may have a dramatic impact on the global ecosystem’s carbon cycle. Fine root functional traits and fine root biomass can be used as important indexes of plant root growth. Compared with the much better understood relationships between aboveground plant functional traits and aboveground biomass, knowledge on the relationships between fine root functional traits and belowground biomass still remains limited. In this study, plant fine roots in 30 abandoned lands, 9 woodlands, 29 alfalfa grasslands, 30 Caragana shrublands and 29 croplands were sampled at 0–20 and 20–40 cm soil depths in Zhonglianchuan, Yuzhong County, Gansu Province, China (36°02′ N, 104°24′ E), to clarify the characteristics of the relationships between fine root functional traits (e.g., diameter, specific root area (SRA) and specific root length (SRL)) and fine root biomass at 0–20 and 20–40 cm soil depths. The results showed that the relationships between the fine root functional traits and fine root biomass in these ecosystems were robust, allowing for the use of an allometric growth model at both 0–20 and 20–40 cm soil depths (p < 0.05). Specifically, the relationship between root diameter and fine root biomass was consistent with highly significant positive power, while highly significant negative power relationships of SRA and SRL with fine root biomass were observed (p < 0.01, except the root diameter–biomass models in the woodlands in the 0–20 cm soil layer (p = 0.017) and 20–40 cm soil layer (p = 0.025)). The results can provide some parameters for these terrestrial ecosystem process models. From this perspective, our study is beneficial in the construction of suitable strategies to increase plant biomass, which will help with the restoration of the semi-arid region of the Loess Plateau of China.

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Heckman, J. R., and J. E. Strick. "Teaching Plant-Soil Relationships with Color Images of Rhizosphere pH." Journal of Natural Resources and Life Sciences Education 25, no. 1 (March 1996): 13–17. http://dx.doi.org/10.2134/jnrlse.1996.0013.

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Babcock, E. L., and J. C. Silvertooth. "Soil Testing and Plant Analysis Relationships for Irrigated Chile Production." Communications in Soil Science and Plant Analysis 43, no. 20 (November 2012): 2651–68. http://dx.doi.org/10.1080/00103624.2012.711879.

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Blank, Robert R., and Justin D. Derner. "Effects of CO2enrichment on plant-soil relationships of Lepidium latifolium." Plant and Soil 262, no. 1/2 (May 2004): 159–67. http://dx.doi.org/10.1023/b:plso.0000037032.43098.5c.

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Naz, Nargis, Mansoor Hameed, Tahira Nawaz, M. Sajid Aqeel Ahmad, and Muhammad Ashraf. "Soil-Plant Relationships in the Arid Saline Desert of Cholistan." Arid Land Research and Management 27, no. 2 (April 2013): 140–52. http://dx.doi.org/10.1080/15324982.2012.719576.

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Mitchell, Ruth J., Hannah M. Urpeth, Andrea J. Britton, and Astrid R. Taylor. "Soil microarthropod-plant community relationships in alpine moss- sedge heath." Applied Soil Ecology 111 (March 2017): 1–8. http://dx.doi.org/10.1016/j.apsoil.2016.10.010.

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Nettleton, W. D., and F. F. Peterson. "Landform, soil, and plant relationships to nitrate accumulation, Central Nevada." Geoderma 160, no. 3-4 (January 2011): 265–70. http://dx.doi.org/10.1016/j.geoderma.2010.08.005.

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Teixeira de Oliveira, Job, Rubens Alves de Oliveira, Domingos Sarvio Magalhães Valente, Isabela da Silva Ribeiro, and Paulo Eduardo Teodoro. "Spatial Relationships of Soil Physical Attributes with Yield and Lateral Shoot Growth of Garlic." HortScience 55, no. 7 (July 2020): 1053–54. http://dx.doi.org/10.21273/hortsci15082-20.

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Some compaction states cause changes in soil structure, resulting in increased soil density and soil resistance to penetration (RP). The objective of this study was: a) to analyze the variability of the studied attributes of the plant and the soil; b) define the linear and spatial correlations between plant and soil attributes; and c) to identify the best attributes that correlate spatially with garlic yield (GY) and lateral shoot growth (LSG) for the elaboration of spatial variability maps. The attributes evaluated were GY, apparent soil electrical conductivity (EC), mechanical resistance to penetration (MRP), soil volumetric moisture (SVM), plant water potential (WP), and LSG. The reach values of spatial dependence to be considered in future studies using the same attributes should be between 8 m for apparent soil EC and 23 m for RP. From a spatial point of view, garlic LSG could be estimated by indirect cokriging with soil RP. Values greater than 3000 kPa of soil RP indicated the sites with the lowest GYs.

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Scudiero, Elia, Pietro Teatini, Gabriele Manoli, Federica Braga, Todd Skaggs, and Francesco Morari. "Workflow to Establish Time-Specific Zones in Precision Agriculture by Spatiotemporal Integration of Plant and Soil Sensing Data." Agronomy 8, no. 11 (November 7, 2018): 253. http://dx.doi.org/10.3390/agronomy8110253.

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Management zones (MZs) are used in precision agriculture to diversify agronomic management across a field. According to current common practices, MZs are often spatially static: they are developed once and used thereafter. However, the soil–plant relationship often varies over time and space, decreasing the efficiency of static MZ designs. Therefore, we propose a novel workflow for time-specific MZ delineation based on integration of plant and soil sensing data. The workflow includes four steps: (1) geospatial sensor measurements are used to describe soil spatial variability and in-season plant growth status; (2) moving-window regression modelling is used to characterize the sub-field changes of the soil–plant relationship; (3) soil information and sub-field indicator(s) of the soil–plant relationship (i.e., the local regression slope coefficient[s]) are used to delineate time-specific MZs using fuzzy cluster analysis; and (4) MZ delineation is evaluated and interpreted. We illustrate the workflow with an idealized, yet realistic, example using synthetic data and with an experimental example from a 21-ha maize field in Italy using two years of maize growth, soil apparent electrical conductivity and normalized difference vegetation index (NDVI) data. In both examples, the MZs were characterized by unique combinations of soil properties and soil–plant relationships. The proposed approach provides an opportunity to address the spatiotemporal nature of changes in crop genetics × environment × management interactions.

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Perkins, Lora B., and Robert S. Nowak. "Soil conditioning and plant–soil feedbacks affect competitive relationships between native and invasive grasses." Plant Ecology 213, no. 8 (July 12, 2012): 1337–44. http://dx.doi.org/10.1007/s11258-012-0092-7.

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He, Lei, Lulu Cheng, Liangliang Hu, Jianjun Tang, and Xin Chen. "Deviation from niche optima affects the nature of plant–plant interactions along a soil acidity gradient." Biology Letters 12, no. 1 (January 2016): 20150925. http://dx.doi.org/10.1098/rsbl.2015.0925.

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There is increasing recognition of the importance of niche optima in the shift of plant–plant interactions along environmental stress gradients. Here, we investigate whether deviation from niche optima would affect the outcome of plant–plant interactions along a soil acidity gradient (pH = 3.1, 4.1, 5.5 and 6.1) in a pot experiment. We used the acid-tolerant species Lespedeza formosa Koehne as the neighbouring plant and the acid-tolerant species Indigofera pseudotinctoria Mats. or acid-sensitive species Medicago sativa L. as the target plants. Biomass was used to determine the optimal pH and to calculate the relative interaction index (RII). We found that the relationships between RII and the deviation of soil pH from the target's optimal pH were linear for both target species. Both targets were increasingly promoted by the neighbour as pH values deviated from their optima; neighbours benefitted target plants by promoting soil symbiotic arbuscular mycorrhizal fungi, increasing soil organic matter or reducing soil exchangeable aluminium. Our results suggest that the shape of the curve describing the relationship between soil pH and facilitation/competition depends on the soil pH optima of the particular species.

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Qi, Shanshan, Jiahao Wang, Yi Zhang, Misbah Naz, Muhammad Rahil Afzal, Daolin Du, and Zhicong Dai. "Omics Approaches in Invasion Biology: Understanding Mechanisms and Impacts on Ecological Health." Plants 12, no. 9 (April 30, 2023): 1860. http://dx.doi.org/10.3390/plants12091860.

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Invasive species and rapid climate change are affecting the control of new plant diseases and epidemics. To effectively manage these diseases under changing environmental conditions, a better understanding of pathophysiology with holistic approach is needed. Multiomics approaches can help us to understand the relationship between plants and microbes and construct predictive models for how they respond to environmental stresses. The application of omics methods enables the simultaneous analysis of plant hosts, soil, and microbiota, providing insights into their intricate relationships and the mechanisms underlying plant–microbe interactions. This can help in the development of novel strategies for enhancing plant health and improving soil ecosystem functions. The review proposes the use of omics methods to study the relationship between plant hosts, soil, and microbiota, with the aim of developing a new technique to regulate soil health. This approach can provide a comprehensive understanding of the mechanisms underlying plant–microbe interactions and contribute to the development of effective strategies for managing plant diseases and improving soil ecosystem functions. In conclusion, omics technologies offer an innovative and holistic approach to understanding plant–microbe interactions and their response to changing environmental conditions.

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Kulmatiski, Andrew, Karen H. Beard, and Justin Heavilin. "Plant–soil feedbacks provide an additional explanation for diversity–productivity relationships." Proceedings of the Royal Society B: Biological Sciences 279, no. 1740 (April 11, 2012): 3020–26. http://dx.doi.org/10.1098/rspb.2012.0285.

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Plant–soil feedbacks (PSFs) have gained attention for their role in plant community dynamics, but their role in productivity has been overlooked. We developed and tested a biomass-specific, multi-species model to examine the role of PSFs in diversity–productivity relationships. The model predicts a negative relationship between PSFs and overyielding: plants with negative PSFs grow more in communities than in monoculture (i.e. overyield), and plants with positive PSFs grow less in communities than in monoculture (i.e. underyield). This effect is predicted to increase with diversity and saturate at low species richness because the proportion of ‘self-cultivated’ soils rapidly decreases as species are added to a community. Results in a set of glasshouse experiments supported model predictions. We found that PSFs measured in one experiment were negatively correlated with overyielding in three-species plant communities measured in a separate experiment. Furthermore, when parametrized with our experimental PSF data, our model successfully predicted species-level overyielding and underyielding. The model was less effective at predicting community-level overyielding and underyielding, although this appeared to reflect large differences between communities with or without nitrogen-fixing plants. Results provide conceptual and experimental support for the role of PSFs in diversity–productivity relationships.

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Brillante, L., O. Mathieu, B. Bois, C. van Leeuwen, and J. Lévêque. "The use of soil electrical resistivity to monitor plant and soil water relationships in vineyards." SOIL 1, no. 1 (March 17, 2015): 273–86. http://dx.doi.org/10.5194/soil-1-273-2015.

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Abstract. Soil water availability deeply affects plant physiology. In viticulture it is considered a major contributor to the "terroir" effect. The assessment of soil water in field conditions is a difficult task, especially over large surfaces. New techniques are therefore required in order to better explore variations of soil water content in space and time with low disturbance and with great precision. Electrical resistivity tomography (ERT) meets these requirements for applications in plant sciences, agriculture and ecology. In this paper, possible techniques to develop models that allow the use of ERT to spatialise soil water available to plants are reviewed. An application of soil water monitoring using ERT in a grapevine plot in Burgundy (north-east France) during the vintage 2013 is presented. We observed the lateral heterogeneity of ERT-derived fraction of transpirable soil water (FTSW) variations, and differences in water uptake depend on grapevine water status (leaf water potentials measured both at predawn and at solar noon and contemporary to ERT monitoring). Active zones in soils for water movements were identified. The use of ERT in ecophysiological studies, with parallel monitoring of plant water status, is still rare. These methods are promising because they have the potential to reveal a hidden part of a major function of plant development: the capacity to extract water from the soil.

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Brillante, L., O. Mathieu, B. Bois, C. van Leeuwen, and J. Lévêque. "The use of soil electrical resistivity to monitor plant and soil water relationships in vineyards." SOIL Discussions 1, no. 1 (October 29, 2014): 677–707. http://dx.doi.org/10.5194/soild-1-677-2014.

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Abstract. Soil water availability deeply affects plant physiology. In viticulture it is considered as a major contributor to the "terroir" expression. The assessment of soil water in field conditions is a difficult task especially over large surfaces. New techniques, are therefore required to better explore variations of soil water content in space and time with low disturbance and with great precision. Electrical Resistivity Tomography (ERT) meets these requirements, for applications in plant sciences, agriculture and ecology. In this paper, possible techniques to develop models that allow the use of ERT to spatialise soil water available to plants are reviewed. An application of soil water monitoring using ERT in a grapevine plot in Burgundy (north-east of France) during the vintage 2013 is presented. We observed the lateral heterogeneity of ERT derived Fraction of Transpirable Soil Water (FTSW) variations, and differences in water uptake depending on grapevine water status (leaf water potentials measured both at predawn and at solar noon and contemporary to ERT monitoring). Active zones in soils for water movements were identified. The use of ERT in ecophysiological studies, with parallel monitoring of plant water status, is still rare. These methods are promising because they have the potential to reveal a hidden part of a major function of plant development: the capacity to extract water from the soil.

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Mercader, Julio, Siobhán Clarke, Mariam Bundala, Julien Favreau, Jamie Inwood, Makarius Itambu, Fergus Larter, et al. "Soil and plant phytoliths from the Acacia-Commiphora mosaics at Oldupai Gorge (Tanzania)." PeerJ 7 (December 11, 2019): e8211. http://dx.doi.org/10.7717/peerj.8211.

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This article studies soil and plant phytoliths from the Eastern Serengeti Plains, specifically the Acacia-Commiphora mosaics from Oldupai Gorge, Tanzania, as present-day analogue for the environment that was contemporaneous with the emergence of the genus Homo. We investigate whether phytolith assemblages from recent soil surfaces reflect plant community structure and composition with fidelity. The materials included 35 topsoil samples and 29 plant species (20 genera, 15 families). Phytoliths were extracted from both soil and botanical samples. Quantification aimed at discovering relationships amongst the soil and plant phytoliths relative distributions through Chi–square independence tests, establishing the statistical significance of the relationship between categorical variables within the two populations. Soil assemblages form a spectrum, or cohort of co-ocurring phytolith classes, that will allow identifying environments similar to those in the Acacia-Commiphora ecozone in the fossil record.

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Ramana Reddy, D. V., G. R. Maruthi Sankar, K. Rama Subbaiah, M. Sreenivasa Chari, S. Harish Kumar Sharma, N. Pushpanjali, V. Visha Kumari, and P. Naga Sravani. "Soil-Plant-Fertilizer Relationships in Turmeric Assessment of Soil-Plant-Fertilizer-Nutrient Relationships for Sustainable Productivity of Turmeric under Alfisols and Inceptisols in Southern India." Communications in Soil Science and Plant Analysis 46, no. 6 (March 16, 2015): 781–99. http://dx.doi.org/10.1080/00103624.2015.1006368.

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