How a Root-Microbial System Regulates
the Response of Soil Respiration to Temperature
and Moisture in a Plantation

Song, Wenchen; Tong, Xiaochong; Zhang, Jinsong; Meng, Ping; Li, Jun

doi:10.15244/pjoes/81271

Cited by 12 publications

(10 citation statements)

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“…However, precipitation is an important factor in the dry north. High soil moisture can inhibit rhizomicrobial activity (Song et al 2018), high fungal diversity can help plants to resist the adverse effects of drought (Fahey et al 2020), thus causing the fungal Shannon index to decrease signi cantly as MAP increased (Preece et al 2019). Furthermore, the fungal Shannon index decreased signi cantly with longitude from the dry west to the wet east in North China in the present study.…”

Section: Discussionmentioning

confidence: 47%

“…Furthermore, the fungal Shannon index decreased signi cantly with longitude from the dry west to the wet east in North China in the present study. Similarly, the relative abundance of ectomycorrhizas decreased as longitude increased, which may be due to the lack of soil moisture for microbial activity and biodiversity in low MAP zones (Song et al 2018;Preece et al 2019;Fahey et al 2020). As the soil becomes more waterlogged in the east, trees rely more on mycorrhizal fungi to protect their roots against the adverse effects of excessive soil moisture (Erlandson et al 2016), which explains why the relative abundance of EMF increased as longitude increased in high MAP zones in the present study.…”

Section: Discussionmentioning

confidence: 50%

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Leaf δ15N, δ13C and Their Associations with Soil Fungal Biodiversity, Ectomycorrhizal and Plant Pathogenic Abundance in Forest Ecosystems of China

Song

2020

Preprint

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Leaf δ15N and δ13C are important functional traits in biogeographic studies of forest ecosystems. However, little is known about their relationships with soil fungal biodiversity, ectomycorrhizal, and plant pathogen abundance at large scales. In this study, leaf and soil samples were collected from 33 forest reserves along a large range across China to explore the associations between leaf δ15N and δ13C and soil fungal biodiversity, ectomycorrhizal, and plant pathogen relative abundance using molecular and stable isotope techniques. We found large-scale biogeographic patterns for leaf δ15N, δ13C, soil fungal biodiversity, and ectomycorrhizal relative abundance. The soil-plant-microbial interaction may contribute to the variations in leaf δ15N, δ13C, and soil fungal communities across different types of forest ecosystems. Temperature and precipitation were the main factors affecting large-scale biogeographic patterns of latitude and longitude. Leaf δ15N was mainly affected by the relative abundance of ectomycorrhizal fungi and leaf δ13C was affected by the relative abundance of plant pathogens. Leaf δ15N and δ13C may be indicators reflecting soil fungal communities in forest ecosystems.

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Section: Discussionmentioning

confidence: 47%

Section: Discussionmentioning

confidence: 50%

Leaf δ15N, δ13C and Their Associations with Soil Fungal Biodiversity, Ectomycorrhizal and Plant Pathogenic Abundance in Forest Ecosystems of China

Song

2020

Preprint

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“…Thus, since soil heterotrophic activity is regulated by soil water content, CO 2 emissions followed the soil water trend, confirming the water deficit in this system. Thus, the higher the soil water content, the higher soil microbial activity and so, the CO 2 emissions (Diao et al, 2022;Song et al, 2018). Higher differences among MC and DIV with regard to soil moisture were found with fava bean crop, mostly during the last cycle 2020, associated with the highest differences in CO 2 emissions between MC and DIV.…”

Section: Discussionmentioning

confidence: 95%

Soil greenhouse gas emissions and crop production with implementation of alley cropping in a Mediterranean citrus orchard

Sánchez-Navarro

Martínez-Martínez

Acosta

et al. 2023

European Journal of Agronomy

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“…Soil temperature, soil moisture, and their interaction largely control the temporal and spatial variations in soil respiration (Song et al, 2018). In a study of three European forests, Borken et al (2002) found that soil temperature at a depth of 10 cm explained 73% to 86% of temporal variation in soil respiration.…”

Section: Dependence On Meteorological Variablesmentioning

confidence: 99%

“…The wetting and drying of soil can substantially influence CO 2 emissions (Muhr et al, 2008). Furthermore, the positive or negative effect of each of these factors may not be individually explained because these factors are often strongly inter-correlated and co-vary with the soil organic matter content and root respiration, which are major sources of soil respiration (Song et al, 2018). In this study, the number of soil moisture measurements (seven times) during the maize growing season was limited, and the calculation results of the effect of water on CO 2 flux did not reach a significant level.…”

Section: Dependence On Meteorological Variablesmentioning

confidence: 99%

Carbon dioxide fluxes in a farmland ecosystem of the southern Chinese Loess Plateau measured using a chamber-based method

Fang

Han

Liu

et al. 2020

PeerJ

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Background Farmland accounts for a relatively large fraction of the world’s vegetation cover, and the quantification of carbon fluxes over farmland is critical for understanding regional carbon budgets. The carbon cycle of farmland ecosystems has become a focus of global research in the field of carbon dynamics and cycling. The objectives of this study are to monitor the temporal variation in the net ecosystem exchange (NEE) and soil respiration in a spring maize (Zea mays L.) farmland ecosystem of the southern Loess Plateau of China. Methods A fully automated temperature-controlled flux chamber system was adopted in this study. The system contained nine chambers for CO2 flux measurements, and three treatments were conducted: with and without maize plants in the chamber, as well as a bare field. Observations were conducted from June to September 2011. This time period covers the seedling, jointing, heading, grain filling, and ripening stages of spring maize. Other factors, such as air temperature (Ta), soil temperature (Ts), soil water content (SWC), photosynthetically active radiation (PAR), and precipitation (P), were simultaneously monitored. Results There was observed diurnal variation in the NEE of the maize ecosystem (NEE-maize). A short “noon break” occurred when the PAR intensity was at its maximum, while soil respiration rates had curves with a single peak. During the overall maize growth season, the total NEE-maize was –68.61 g C m−2, and the soil respiration from the maize field (SR-maize) and bare field (SR-bare field) were 245.69 g C m−2 and 114.08 g C m−2, respectively. The temperature sensitivity of soil respiration in the maize field exceeded that in the bare field. Significant negative correlations were found between the NEE, PAR, and temperature (all p-values < 0.01), with both Ta and PAR being the primary factors that affected the CO2 fluxes, collectively contributing 61.7%, 37.2%, and 56.8% to the NEE-maize, SR-maize, and SR-bare field, respectively. It was therefore concluded that both meteorological factors and farming practices have an important impact on the carbon balance process in corn farmland ecosystems. However, it is necessary to conduct long-term observational studies, in order to get a better understanding of the driving mechanism.

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How a Root-Microbial System Regulates the Response of Soil Respiration to Temperature and Moisture in a Plantation

Cited by 12 publications

References 50 publications

Leaf δ15N, δ13C and Their Associations with Soil Fungal Biodiversity, Ectomycorrhizal and Plant Pathogenic Abundance in Forest Ecosystems of China

Leaf δ15N, δ13C and Their Associations with Soil Fungal Biodiversity, Ectomycorrhizal and Plant Pathogenic Abundance in Forest Ecosystems of China

Soil greenhouse gas emissions and crop production with implementation of alley cropping in a Mediterranean citrus orchard

Carbon dioxide fluxes in a farmland ecosystem of the southern Chinese Loess Plateau measured using a chamber-based method

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