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 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 Above- and below-ground herbivory effects on below-ground plant-fungus interactions and plant-soil feedback responses

2013 ◽  
Vol 101 (2) ◽  
pp. 325-333 ◽  
Author(s):  
T. Martijn Bezemer ◽  
Wim H. van der Putten ◽  
Henk Martens ◽  
Tess F. J. van de Voorde ◽  
Patrick P. J. Mulder ◽  
...  
Keyword(s):  
Plant Soil ◽  
Soil Feedback ◽  
Below Ground ◽  
Feedback Responses

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 feedback responses of four dryland crop species under greenhouse conditions

2020 ◽  
Vol 1 (3) ◽  
pp. 181-195
Author(s):  
Knowledge Mushonga ◽  
Joachim M. Steyn ◽  
Wijnand J. Swart ◽  
Jacquie E. Waals
Keyword(s):  
Crop Species ◽  
Plant Soil ◽  
Soil Feedback ◽  
Feedback Responses

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 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.

Heterospecific plant–soil feedback and its relationship to plant traits, species relatedness, and co-occurrence in natural communities

Oecologia ◽  
2018 ◽  
Vol 187 (3) ◽  
pp. 679-688 ◽  
Author(s):  
Eliška Kuťáková ◽  
Tomáš Herben ◽  
Zuzana Münzbergová
Keyword(s):  
Plant Traits ◽  
Plant Soil ◽  
Soil Feedback ◽  
Natural Communities
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