Effects of elevation and slope aspect on the distribution of the soil organic carbon associated with Al and Fe mineral phases in alpine shrub–meadow soil

Che, Mingxuan; Yang, Gong; Xu, Manjing; Kang, Chengfang; Lv, Chen; He, Shuqin; Zheng, Jiangkun

doi:10.1016/j.scitotenv.2020.141933

Cited by 24 publications

(5 citation statements)

References 73 publications

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“…This promotes the longer persistence of SOC (Li et al, 2023). With different adsorbates, Fe‐oxides may behave as Lewis's acids or bases (Ding et al, 2000) and bind the organic acids through complexation to form stable organo‐metal coordinate complexes having numerous negatively charged sites with multiple exchangeable anions that increase the adsorption capacity for Fe (II) through ligand exchange (Asano & Wagai, 2014; Che et al, 2021). Here, the carboxyl and hydroxyl ions present on the organic compounds act as the exchangeable ligands.…”

Section: Resultsmentioning

confidence: 99%

Release, availability and geochemical interaction of Fe in soil after long‐term integrated nutrient management in wheat

Saroha,

Yadav,

Raj

et al. 2024

European J Soil Science

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Wheat contributes to about one‐fifth of the total calories and protein consumption by humans but is found lower in total iron (Fe) concentration than the targeted nutritional requirement, leading to increasing cases of anaemia and malnutrition in humans, especially in the developing countries. Therefore, it is the need of the hour to understand the dynamics of Fe in soil and its supply in relation to wheat productivity and grain quality. The objectives of this study were to examine the impact of long‐term (54 years) annual and biannual application of different doses of farmyard manure (FYM) (0, 5, 10 and 15 Mg ha−1) and nitrogen (0, 60 and 120 kg ha−1) under integrated nutrient management on the dynamics of Fe in soil along with its relationship with total Fe uptake in wheat. Additionally, the release pattern of native soil Fe and risk of Fe toxicity were evaluated. The highest grain yield of wheat (6.08 Mg ha−1) was observed under biannual application of FYM and nitrogen at 10 Mg ha−1 and 120 kg ha−1, respectively, which was approximately 155% higher than the control plot (F0N0). Under the dual season application of 15 Mg ha−1 FYM and 120 kg ha−1 nitrogen, the total Fe content (48.48 mg kg−1) and its uptake (270.52 g ha−1) in wheat grains were found at maximum. The soil incubation study revealed that the rate of release of Fe increased up to 30 days of incubation followed by constant rates indicating the establishment of dynamic equilibrium among the different Fe fractions. Thus, the present study was conducted for the first time to improve the understanding of changes in Fe concentration and rate of release in soil, which directly influence the Fe uptake in wheat grain under the long‐term integrated nutrient management practices.

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Section: Resultsmentioning

confidence: 99%

Release, availability and geochemical interaction of Fe in soil after long‐term integrated nutrient management in wheat

Saroha,

Yadav,

Raj

et al. 2024

European J Soil Science

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“…It is generally believed that soil N is mainly derived from the decomposition of soil organic matter and has a consistent pattern of variation in spatial distribution at different altitudes. Numerous studies have shown that SOC and STN tend to increase with increasing altitude [ 20 ]. In this study, both SOC and STN were lowest at the intermediate-altitude field site, which is related to the regional geological characteristics, where SWC is lower, ground grass biomass is lower and biological residues and humus are less.…”

Section: Discussionmentioning

confidence: 99%

Functional Traits of Male and Female Leaves of Hippophae tibetana on the Eastern Edge of the Tibetan Plateau and Their Altitudinal Variability

Fan¹,

Ma²,

Gao³

et al. 2022

Plants

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To date, there have been few studies of the functional traits of the dioecious Hippophae tibetana Schlecht leaves, either male or female, in response to ecological factors such as altitude. Elucidating these relationships will establish an important scientific basis for vegetation restoration and reconstruction of the Tibetan Plateau ecosystem. The natural populations of H. tibetana, distributed across three field sites, at 2868 m, 3012 m and 3244 m, in Tianzhu, Gansu, were studied by field survey sampling and laboratory analysis. In particular, the adaptions of leaf functional traits to elevation in these dioecious plants were analyzed. The results show that: (1) there is no “midday depression” of photosynthetic activity in either male or female plants. Over a one-day period, the net photosynthetic rate (Pn) and transpiration rate (Tr) of H. tibetana female plants were higher than those of male plants (p < 0.05). This correlated to the period of vigorous fruit growth in the female plant. The measured Pn and Tr were maximal at the intermediate altitude (3012 m). The light compensation point (LCP) of the leaves of male and female plants were 57.6 and 43.2 μmol·m−2·s−1, respectively, and the light saturation points (LSP) of the leaves were 1857.6 and 1596.8 μmol·m−2·s−1. (2) Altitude had a significant effect on plant and leaf functional traits of male and female H. tibetana (p < 0.05), and no significant difference was noted between plants at the same altitude. The values for leaf area (LA), specific leaf weight (LMA), leaf phosphorus content per unit mass (Pmass) and leaf phosphorus content per unit area (Parea) were also maximal at the intermediate altitude. Leaf nitrogen content per unit area (Narea) and leaf nitrogen content per unit mass (Nmass) increased with altitude. This indicated that the functional traits of male and female plants and leaves of H. tibetana showed a strong “trade-off relationship” with altitude. (3) Pearson correlation analysis showed that there were significant correlations among functional traits of H. tibetana leaves. Redundancy analysis (RDA) showed that soil water content (SWC), altitude (Alt) and soil organic carbon (SOC) had significant effects on the functional traits of H. tibetana leaves (p < 0.05).

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“…The widely used normalized difference vegetation index (NDVI) is an effective and reliable indicator of grassland AGB (Gong et al, 2015; Gu et al, 2013; Jiang et al, 2006; Weber et al, 2018). Moreover, NDVI can be combined with other environmental variables (i.e., geographical location, topography, and meteorological parameters) to support estimation of AGB (Bretas et al, 2021; Che et al, 2021; Ge et al, 2022). Such methods reduce the prediction error of VI‐based models, improving their stability and generality (Liu et al, 2004; Marsett et al, 2006; Shi et al, 2021; Zhu, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, NDVI can be combined with other environmental variables (i.e., geographical location, topography, and meteorological parameters) to support estimation of AGB (Bretas et al, 2021;Che et al, 2021;Ge et al, 2022). Such methods reduce the prediction error of VI-based models, improving their stability and generality (Liu et al, 2004;Marsett et al, 2006;Shi et al, 2021;Zhu, 2014).…”

mentioning

confidence: 99%

Improving the accuracy of models to map alpine grassland above‐ground biomass using Google earth engine

Yan

Gao

Brierley

et al. 2023

Grass and Forage Science

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Accurate modelling and mapping of alpine grassland aboveground biomass (AGB) are crucial for pastoral agriculture planning and management on the Qinghai Tibet Plateau (QTP). This study assessed the effectiveness of four popular models (traditional multiple linear regression (MLR), support vector machine (SVM), artificial neural network (ANN), and deep neural network (DNN)) with various input combinations (geospatial variables [GV], vegetation types [VT], field measurements [FM], meteorological variables [MV] and observation time [OT]) for AGB estimation based on a new framework for AGB modelling and mapping using Google Earth Engine. The results showed that the input feature of GV had a poor performance in AGB estimation (0.121 < R2 < 0.591). FM improved the accuracy the most when incorporated with GV (0.815 < R2 < 0.833). Although MV, VT and OT improved the accuracy (R2) only by 0.112–0.216 with an importance rank order of MV > VT > OT for machine learning models, their outputs could be used to map AGB. Grass AGB was less accurately predicted than shrub AGB, but the pooling of both VTs improved estimation accuracy (R2) by 0.171–0.269. The performance of the models followed the ranked order of DNN > ANN > SVM > MLR. DNN had the highest accuracy (R2 = 0.818) using all non‐field measured variables (excluding FM) as the inputs, and it was successfully applied to a new dataset (not associated with the data used in the training and testing) with a R2 of 0.676. This study presents an effective and operational framework for modelling and mapping grassland AGB. Accordingly, it provides the scientific foundations to determine of sustainable grazing carrying capacity in alpine grasslands.

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Effects of elevation and slope aspect on the distribution of the soil organic carbon associated with Al and Fe mineral phases in alpine shrub–meadow soil

Cited by 24 publications

References 73 publications

Release, availability and geochemical interaction of Fe in soil after long‐term integrated nutrient management in wheat

Release, availability and geochemical interaction of Fe in soil after long‐term integrated nutrient management in wheat

Functional Traits of Male and Female Leaves of Hippophae tibetana on the Eastern Edge of the Tibetan Plateau and Their Altitudinal Variability

Improving the accuracy of models to map alpine grassland above‐ground biomass using Google earth engine

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