Broad‐scale distribution of diazotrophic communities is driven more by aridity index and temperature than by soil properties across various forests

2020 ◽  
Vol 29 (12) ◽  
pp. 2119-2130
Author(s):  
Wenqiang Zhao ◽  
Yongping Kou ◽  
Xiaohu Wang ◽  
Yanhong Wu ◽  
Haijian Bing ◽  
...  
2020 ◽  
Vol 84 (1) ◽  
pp. 144-162
Author(s):  
Feng Liu ◽  
David G. Rossiter ◽  
Xiaodong Song ◽  
Gan‐Lin Zhang ◽  
Huayong Wu ◽  
...  

2020 ◽  
Author(s):  
Alexia Stokes ◽  

<p>Soil is a hyper-heterogeneous environment, and how plants respond to changes in belowground variations in microclimate, soil properties and biota is extremely difficult to disentangle. Environmental gradients have been proposed as useful to help understand how root traits mediate plant responses to soil hyper-heterogeneity, and if in turn, there is a feedback mechanism that then impacts soil processes.</p><p>We present data from studies of forests and prairies situated along temperate elevational gradients. We measured functional traits from individual plant species and also in species mixtures at the community level. Distinct patterns in aboveground traits were found with increasing altitude. However, even though there were changes in soil biota, physical and chemical properties along gradients, we show that at the species level, several plant root traits were more sensitive to variations in local soil properties, compared to global variations along the elevation gradient. At the community level however, patterns of trait variation in individual species were often masked. Earthworm populations were also mostly driven by local soil properties, and elevation and plant species composition had only an indirect effect on population size. We also demonstrate that increased diversity in soil microbial communities was linked to the species composition of vegetation at a local level, rather than broad scale soil or climate characteristics.</p><p>Results will be discussed with regard to their impact on shaping soil processes such as carbon stockage, aggregation and hydraulic conductivity. Integrating these data into conceptual models of mountain ecosystem functioning is a challenging next step.</p>


Fire Ecology ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Melisa A. Giorgis ◽  
Sebastian R. Zeballos ◽  
Lucas Carbone ◽  
Heike Zimmermann ◽  
Henrik von Wehrden ◽  
...  

Abstract Background Fire is an important driver of ecosystem dynamics worldwide. However, knowledge on broad-scale patterns of ecosystem and organism responses to fires is still scarce. Through a systematic quantitative review of available studies across South America, we assessed fire effects on biodiversity and abundance of different organisms (i.e., plants, fungi, invertebrates, and vertebrates), plant fitness, and soil properties under four climate types, and time since the last fire (i.e., early and late post fire). We addressed: (1) What fire effects have been studied across South America? (2) What are the overall responses of biodiversity, abundance, fitness, and soil properties to fires? (3) How do climate and time since fire modulate those responses? Results We analyzed 160 articles reporting 1465 fire responses on paired burned and unburned conditions. We found no effect of fire on biodiversity or on invertebrate abundance, a negative effect on woody plant species and vertebrate abundance, and an increase in shrub fitness. Soil in burned areas had higher bulk density and pH, and lower organic matter and nitrogen. Fire effect was significantly more positive at early than at late post fire for plant fitness and for soil phosphorus and available nitrogen. Stronger negative effects in semiarid climate compared to humid warm climate suggest that higher temperatures and water availability allow a faster ecosystem recovery after fire. Conclusions Our review highlights the complexity of the climate–fire–vegetation feedback when assessing the response of soil properties and different organisms at various levels. The resilience observed in biodiversity may be expected considering the large number of fire-prone ecosystems in South America. The recovery of invertebrate abundance, the reduction of the vertebrate abundance, and the loss of nitrogen and organic matter coincide with the responses found in global reviews at early post-fire times. The strength of these responses was further influenced by climate type and post-fire time. Our synthesis provides the first broad-scale diagnosis of fire effects in South America, helping to visualize strengths, weaknesses, and gaps in fire research. It also brings much needed information for developing adequate land management in a continent where fire plays a prominent socio-ecological role.


2020 ◽  
Author(s):  
Songchao Chen ◽  
Vera Leatitia Mulder ◽  
Laura Poggio ◽  
Pierre Roudier ◽  
Zamir Libohova ◽  
...  

<p>In the 21<sup>st</sup> century, soils are at the crossroads of global issues (i.e., food security, water security, biodiversity protection, climate change, and ecosystem services) and essential to achieve some of the Sustainable Development Goals. Although soils are central to these global issues, their management requires local actions and knowledge, which requires fine-resolution soil information. With an emphasis on broad-scale studies (>10,000 km<sup>2</sup>), this review outlines recent progress in the development of GlobalSoilMap, an initiative to provide a global fine-resolution grid of soil properties with quantified uncertainties using the bottom-up approach. This review provides an overview related to the soil data source, environmental covariates, spatial prediction, modelling and mapping techniques, uncertainty qualification, and target soil properties. The main findings of this review are: (1) A great increase of publication was observed after 2012, reaching a peak in recent years; (2) Australia and China were the most active countries; (3) Geoderma was the most frequent journal that was preferred by authors to publish related studies; (4) More than a half of the studies did not report soil sampling design; (5) Data splitting was the most frequent strategy for model evaluation, and independent validation was rarely used; (6) Nonlinear predictive model (i.e., machine learning) was becoming popular than ever before; (7) Relief, organisms and climate were the top three SCORPAN factors used in modelling; (8) Soil organic carbon (or soil organic matter) was the top soil property of interest.</p><p>This review also highlights the perspectives of GlobalSoilMap for further improving the quality of soil information globally and making it practical in decision making.</p>


Geoderma ◽  
2022 ◽  
Vol 409 ◽  
pp. 115567
Author(s):  
Songchao Chen ◽  
Dominique Arrouays ◽  
Vera Leatitia Mulder ◽  
Laura Poggio ◽  
Budiman Minasny ◽  
...  

2021 ◽  
Author(s):  
Sophie F. von Fromm ◽  
Alison M. Hoyt ◽  
Benjamin M. Butler ◽  
Asmeret Asefaw Berhe ◽  
Sebastian Doetterl ◽  
...  

<p>Recent compilations of global soil radiocarbon data suggest that current Earth System Models underestimate the mean age of soil carbon (C). The discrepancy between data-derived estimates and model calculations might be due to an inadequate representation of processes that control C persistence in soils – especially in understudied regions.</p><p>Here, we investigate the relationships between soil mineralogy, soil properties, climate and radiocarbon (Δ<sup>14</sup>C) in soils sampled as part of a comprehensive soil survey (AfSIS) for sub-Saharan Africa. A total of 510 samples were analyzed, comprised of soils collected from two depths (0–20 cm and 20–50 cm) at 30 sites in 14 countries. To determine soil mineralogy, we analyzed X-ray powder diffraction (XRPD) data, which provides a precise and detailed mineralogical signature of each soil sample. The studied soil profiles vary greatly in their mineralogy, reflecting a diverse range of parent materials and soil forming factors.</p><p>The median soil C age is 182 years in the topsoils and 563 years in the subsoils, corresponding to a total Δ<sup>14</sup>C value range of -432 to 95 ‰. In general, Δ<sup>14</sup>C values decrease (older mean C ages) with increasing clay particle size fractions. This corresponds to an increase in short range-order minerals expressed as oxalate-extractable aluminum and iron (Al<sub>ox</sub> and Fe<sub>ox</sub>). Separately, mineralogically defined variables – derived from the XRPD data using principal component analysis – are found to correlate strongly with a range of soil properties (pH, weathering status, exchangeable calcium, Al<sub>ox</sub> and Fe<sub>ox</sub>, and soil texture) and climatic variables (aridity index and mean annual temperature). This provides a holistic assessment of the processes that have formed each soil along with the properties that it currently exhibits. Our analyses with random forests show that these XRPD-derived mineralogical variables alone can explain up to 30% of the variation in Δ<sup>14</sup>C across sub-Saharan Africa. They also allow the identification of specific minerals that contribute to this variation and how they are linked to the C mean age of the soil. In conclusion, our results suggest that soil mineral data can help to better understand C persistence in subtropical and tropical soils.</p>


2014 ◽  
Vol 11 (1) ◽  
pp. 15
Author(s):  
Set Foong Ng ◽  
Pei Eng Ch’ng ◽  
Yee Ming Chew ◽  
Kok Shien Ng

Soil properties are very crucial for civil engineers to differentiate one type of soil from another and to predict its mechanical behavior. However, it is not practical to measure soil properties at all the locations at a site. In this paper, an estimator is derived to estimate the unknown values for soil properties from locations where soil samples were not collected. The estimator is obtained by combining the concept of the ‘Inverse Distance Method’ into the technique of ‘Kriging’. The method of Lagrange Multipliers is applied in this paper. It is shown that the estimator derived in this paper is an unbiased estimator. The partiality of the estimator with respect to the true value is zero. Hence, the estimated value will be equal to the true value of the soil property. It is also shown that the variance between the estimator and the soil property is minimised. Hence, the distribution of this unbiased estimator with minimum variance spreads the least from the true value. With this characteristic of minimum variance unbiased estimator, a high accuracy estimation of soil property could be obtained.


2020 ◽  
Vol 16 (2) ◽  
pp. 41-63
Author(s):  
V.L. Zakharov ◽  
◽  
G.N. Pugachev ◽  

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