scholarly journals Plant-soil feedbacks and the resource economics spectrum

2018 ◽  
Author(s):  
Zia Mehrabi
Keyword(s):  
Plant Traits ◽  
Plant Biomass ◽  
Plant Competition ◽  
Resource Economics ◽  
Economic Traits ◽  
Negative Effects ◽  
Natural Systems ◽  
Plant Resource ◽  
Plant Soil ◽  
Soil Feedback

Recent work suggests that resource economic traits might help predict the strength and direction of plant-soil feedback interactions, both in natural systems and in agriculture. However, there are many competing hypotheses to explain the effects of plant resource economics on plant-soil feedbacks. Faster-growing plants may have positive fertilizing effects if their tissues are incorporated and mineralized by soil microbes, but may also have negative effects if pathogens build up, or if fungal symbionts are lost through fertilization. Identifying the direction of effects may be confounded if nutrients are exported through herbivory, leaching, or crop harvesting. To determine causality in the effect of plant traits on plant-soil feedbacks it is essential for plant-soil feedback experiments to (1) quantify the mass of nutrients held in standing, or harvested plant biomass, and in losses to other sources in the field, and (2) undertake soil chemistry measurements (e.g. gross and net nitrogen mineralization) of nutrients limiting for plant growth throughout all phases of the feedback cycle. If rigorous nutrient budgeting in plant-soil feedback research is more widely practiced this will provide the data needed to synthesise results in comparable ways, and will enable mechanistic insights into the role of plant traits in mediating plant competition in both natural and applied settings.

scholarly journals Plant-soil feedbacks and the resource economics spectrum

2018 ◽  
Author(s):  
Zia Mehrabi
Keyword(s):  
Plant Traits ◽  
Plant Biomass ◽  
Plant Competition ◽  
Resource Economics ◽  
Economic Traits ◽  
Negative Effects ◽  
Natural Systems ◽  
Plant Resource ◽  
Plant Soil ◽  
Soil Feedback

Recent work suggests that resource economic traits might help predict the strength and direction of plant-soil feedback interactions, both in natural systems and in agriculture. However, there are many competing hypotheses to explain the effects of plant resource economics on plant-soil feedbacks. Faster-growing plants may have positive fertilizing effects if their tissues are incorporated and mineralized by soil microbes, but may also have negative effects if pathogens build up, or if fungal symbionts are lost through fertilization. Identifying the direction of effects may be confounded if nutrients are exported through herbivory, leaching, or crop harvesting. To determine causality in the effect of plant traits on plant-soil feedbacks it is essential for plant-soil feedback experiments to (1) quantify the mass of nutrients held in standing, or harvested plant biomass, and in losses to other sources in the field, and (2) undertake soil chemistry measurements (e.g. gross and net nitrogen mineralization) of nutrients limiting for plant growth throughout all phases of the feedback cycle. If rigorous nutrient budgeting in plant-soil feedback research is more widely practiced this will provide the data needed to synthesise results in comparable ways, and will enable mechanistic insights into the role of plant traits in mediating plant competition in both natural and applied settings.

scholarly journals Remote sensing of plant trait responses to field-based plant–soil feedback using UAV-based optical sensors

2017 ◽  
Vol 14 (3) ◽  
pp. 733-749 ◽  
Author(s):  
Bob van der Meij ◽  
Lammert Kooistra ◽  
Juha Suomalainen ◽  
Janna M. Barel ◽  
Gerlinde B. De Deyn
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Optical Sensors ◽  
Cover Crop ◽  
Plant Traits ◽  
Field Scale ◽  
Fresh Biomass ◽  
Plant Soil ◽  
Leaf Chlorophyll ◽  
Soil Feedback

Abstract. Plant responses to biotic and abiotic legacies left in soil by preceding plants is known as plant–soil feedback (PSF). PSF is an important mechanism to explain plant community dynamics and plant performance in natural and agricultural systems. However, most PSF studies are short-term and small-scale due to practical constraints for field-scale quantification of PSF effects, yet field experiments are warranted to assess actual PSF effects under less controlled conditions. Here we used unmanned aerial vehicle (UAV)-based optical sensors to test whether PSF effects on plant traits can be quantified remotely. We established a randomized agro-ecological field experiment in which six different cover crop species and species combinations from three different plant families (Poaceae, Fabaceae, Brassicaceae) were grown. The feedback effects on plant traits were tested in oat (Avena sativa) by quantifying the cover crop legacy effects on key plant traits: height, fresh biomass, nitrogen content, and leaf chlorophyll content. Prior to destructive sampling, hyperspectral data were acquired and used for calibration and independent validation of regression models to retrieve plant traits from optical data. Subsequently, for each trait the model with highest precision and accuracy was selected. We used the hyperspectral analyses to predict the directly measured plant height (RMSE  =  5.12 cm, R2  =  0.79), chlorophyll content (RMSE  =  0.11 g m−2, R2  =  0.80), N-content (RMSE  =  1.94 g m−2, R2  =  0.68), and fresh biomass (RMSE  =  0.72 kg m−2, R2  =  0.56). Overall the PSF effects of the different cover crop treatments based on the remote sensing data matched the results based on in situ measurements. The average oat canopy was tallest and its leaf chlorophyll content highest in response to legacy of Vicia sativa monocultures (100 cm, 0.95 g m−2, respectively) and in mixture with Raphanus sativus (100 cm, 1.09 g m−2, respectively), while the lowest values (76 cm, 0.41 g m−2, respectively) were found in response to legacy of Lolium perenne monoculture, and intermediate responses to the legacy of the other treatments. We show that PSF effects in the field occur and alter several important plant traits that can be sensed remotely and quantified in a non-destructive way using UAV-based optical sensors; these can be repeated over the growing season to increase temporal resolution. Remote sensing thereby offers great potential for studying PSF effects at field scale and relevant spatial-temporal resolutions which will facilitate the elucidation of the underlying mechanisms.

scholarly journals Grazing-induced changes in plant-soil feedback alter plant biomass allocation

Oikos ◽  
2014 ◽  
Vol 123 (7) ◽  
pp. 800-806 ◽  
Author(s):  
G. F. Ciska Veen ◽  
Saskia de Vries ◽  
Elisabeth S. Bakker ◽  
Wim H. van der Putten ◽  
Han Olff
Keyword(s):  
Biomass Allocation ◽  
Plant Biomass ◽  
Plant Soil ◽  
Soil Feedback ◽  
Induced Changes

scholarly journals Remote sensing of plant trait responses to field-based plant-soil feedback using UAV-based optical sensors

2016 ◽  
Author(s):  
Bob van der Meij ◽  
Lammert Kooistra ◽  
Juha Suomalainen ◽  
Janna M. Barel ◽  
Gerlinde B. De Deyn
Keyword(s):  
Remote Sensing ◽  
Chlorophyll Content ◽  
Optical Sensors ◽  
Cover Crop ◽  
Plant Traits ◽  
Field Scale ◽  
Fresh Biomass ◽  
Plant Soil ◽  
Leaf Chlorophyll ◽  
Soil Feedback

Abstract. Plant responses to biotic and abiotic legacies left in soil by preceding plants is known as plant-soil feedback (PSF). PSF is an important mechanism to explain plant community dynamics and plant performance in natural and agricultural systems. However, most PSF studies are short-term and small-scale due to practical constraints for field scale quantification of PSF effects, yet field experiments are warranted to asses actual PSF effects under less controlled conditions. Here we used Unmanned Aerial Vehicle (UAV)-based optical sensors to test whether PSF effects on plant traits can be quantified remotely. We established a randomized agro-ecological field experiment in which six different cover crop species and species combinations from three different plant families (Poaceae, Fabaceae, Brassicaceae) were grown. The feedback effects on plant traits were tested in oat (Avena sativa) by quantifying the cover crop legacy effects on key plant traits: height, fresh biomass, nitrogen content and leaf chlorophyll content. Prior to destructive sampling, hyperspectral data was acquired and used for calibration and independent validation of regression models to retrieve plant traits from optical data. Subsequently, for each trait the model with highest precision and accuracy was selected. We used the hyperspectral analyses to predict the directly measured plant height (RMSE= 5.12 cm, R2= 0.79), chlorophyll content (RMSE= 0.11 g m−2, R2= 0.80), N-content (RMSE= 1.94 g m−2, R2= 0.68), and fresh biomass (RMSE= 0.72 kg m−2, R2= 0.56). Overall the PSF effects of the different cover crop treatments based on the remote sensing data matched the results based on in situ measurements. The average oat canopy was tallest and its leaf chlorophyll content highest in response to legacy of Vicia sativa monocultures (100 cm, 0.95 g m−2, respectively) and in mixture with Raphanus sativus (100 cm, 1.09 g m−2, respectively), while the lowest values (76 cm, 0.41 g m−2, respectively) were found in response to legacy of Lolium perenne monoculture, and intermediate responses to the legacy of the other treatments. We show that PSF effects in the field occur and alter several important plant traits that can be sensed remotely and quantified in a non-destructive way using UAV-based optical sensors; these can be repeated over the growing season to increase temporal resolution. Remote sensing thereby offers great potential for studying PSF effects at field scale and relevant spatial-temporal resolutions which will facilitate the elucidation of the underlying mechanisms.

scholarly journals Are plant-soil feedback responses explained by plant traits?

2014 ◽  
Vol 204 (2) ◽  
pp. 408-423 ◽  
Author(s):  
Catherine Baxendale ◽  
Kate H. Orwin ◽  
Franck Poly ◽  
Thomas Pommier ◽  
Richard D. Bardgett
Keyword(s):  
Plant Traits ◽  
Plant Soil ◽  
Soil Feedback ◽  
Feedback Responses

scholarly journals The comprehensive changes in soil properties are continuous cropping obstacles associated with American ginseng (Panax quinquefolius) cultivation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chongwei Li ◽  
Guozhong Chen ◽  
Jianlong Zhang ◽  
Ping Zhu ◽  
Xinfu Bai ◽  
...  
Keyword(s):  
Soil Properties ◽  
Crop Rotation ◽  
Phenolic Acids ◽  
American Ginseng ◽  
Continuous Cropping ◽  
Negative Effects ◽  
Opposite Pattern ◽  
Physiochemical Properties ◽  
Plant Soil ◽  
Soil Feedback

AbstractThis study aims to verify the time-variant feature of American ginseng (AG) continuous cropping obstacles and to explore the factors impeding continuous cropping. We verified the feature with a plant-soil feedback pot experiment and then investigated the factors by comparing the properties of control soils that had not been previously used for growing ginseng (CS) with those of soils with a 10-year-crop-rotation cycle following the growth of AG (RS). It’s found that the survival rate of AG in RS was lower than that in CS. The RS had lower pH, available potassium content, and urease activity. Additionally, p-coumaric, p-hydroxybenzoic, vanillic, caffeic, and cinnamic acid levels were lower in RS than in CS, but salicylic acid levels showed the opposite pattern. RS had higher Rhodanobacter and lower Acidothermus, Sphingomonas relative abundances in bacterial community. It’s also found that many bacteria were substantially correlated with phenolic acids and soil physiochemical properties. Results indicate that even after 10-year crop rotation, the negative effects of prior continuous cropping of AG has not been eliminated. The growth of AG can be affected negatively with deterioration of soil physicochemical properties and with lower levels of phenolic acids which promote pathogen reproduction. Probiotics reduction also weighs. Moreover, biotic factors are interrelated with abiotic ones. Therefore, it can be inferred that the comprehensive change of soil properties is the main obstacle for continuous cropping.

Soil microorganism impact on the native plant growth under single and co-invasion with invasive plants: Responses through plant-soil feedback

2020 ◽  
Vol 6 (2) ◽  
pp. 104-111
Keyword(s):  
Plant Growth ◽  
Invasive Plants ◽  
Plant Invasion ◽  
Soil Microorganisms ◽  
Invasive Plant ◽  
Plant Competition ◽  
Soil Microorganism ◽  
Native Plant ◽  
Plant Soil ◽  
Soil Feedback

Plant invasion is a key element defining the community structure and dynamics and has become a major concern for the invasive plants to control the restoration of ecosystem diversity. In the same line of thought, soil microorganisms are also considered as a significant parameter of evolution and invasive plants' success. The variations usually overserved in the composition and structure of the soil microorganisms and the consequences of plant invasion. Therefore, understanding the concept of plant invasion and soil microorganism impact plant competition and plant-soil feedback would be a very important step forward in invasive plant control and ecosystem restoration. This review aims to provide a conceptual explanation of plant invasion, the role of soil microorganisms on plant growth and its effects on the native plant-soil feedback and also to demonstrate the importance of understanding the integrative soil microorganism impact on the competition between native and invasive plants along with its effects on plant-soil feedback.

Sign in / Sign up

Export Citation Format

Share Document