
Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 384, P. 135578 - 135578
Published: Dec. 12, 2022
Language: Английский
Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 384, P. 135578 - 135578
Published: Dec. 12, 2022
Language: Английский
Nutrient Cycling in Agroecosystems, Journal Year: 2020, Volume and Issue: 117(2), P. 215 - 229
Published: April 9, 2020
Language: Английский
Citations
67Soil Biology and Biochemistry, Journal Year: 2023, Volume and Issue: 178, P. 108938 - 108938
Published: Jan. 6, 2023
Language: Английский
Citations
18Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137784 - 137784
Published: June 17, 2023
Language: Английский
Citations
18The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169061 - 169061
Published: Dec. 6, 2023
Language: Английский
Citations
17Land Degradation and Development, Journal Year: 2020, Volume and Issue: 32(3), P. 1452 - 1466
Published: Oct. 10, 2020
Abstract Increased use and increasing demands pose serious threats to rangelands. In this study, we document a pronounced downward trend in rangeland quality the Alborz Mountains Firozkuh County, Iran using analysis of three machine‐learning models (MLMs). A total 1,147 transects were established evaluate trends from field data collected over 7‐year period. Twelve independent conditional factors analyzed for their relationships range through MLMs—Random Forest (RF), classification regression tree (CART), support vector machine (SVM). Based on assessments trained validated models, RF, with ROC‐AUC = 0.96, was determined be most robust. The results show that about 20% study area is critically degraded condition. Distances roads livestock density are two strongly linked degradation. These results, combination observations, indicate rangelands face major challenges (overgrazing early grazing) require new strategies mitigate prevent damages. This may provide important guidance evaluating conditions other regions world.
Language: Английский
Citations
44Biogeosciences, Journal Year: 2021, Volume and Issue: 18(13), P. 3981 - 4004
Published: July 2, 2021
Abstract. The 4 per 1000 initiative aims to maintain and increase soil organic carbon (SOC) stocks for fertility, food security, climate change adaptation mitigation. One way enhance SOC is (C) inputs the soil. In this study, we assessed amount of C that are necessary reach a target by ‰ yr−1 on average, 30 years, at 14 long-term agricultural sites in Europe. We used Century model simulate required level additional these sites. Then, analyzed how would under future scenarios temperature increase. Initial were simulated assuming steady state. compared modeled different treatments experimental (exogenous matter addition one treatment with crop rotations). was calibrated fit control plots, i.e. conventional management without from exogenous or changes rotations, able reproduce stock dynamics. found that, average among selected sites, annual will have 43.15 ± 5.05 %, which 0.66 0.23 MgCha-1yr-1 (mean standard error), respect initial treatment. input lower than similar actually majority experiments. However, might be overestimating effect stocks. At increasing 0.25 % average. This means much higher. Furthermore, estimated even more due warming, 54 120 1 5 ∘C respectively. showed depended linearly stocks, raising concern feasibility objective soils higher potential contribution sequestration, high Our work highlights challenge large scale warmer climate.
Language: Английский
Citations
37European Journal of Agronomy, Journal Year: 2021, Volume and Issue: 127, P. 126279 - 126279
Published: April 28, 2021
A major path helping agriculture achieve the dual challenges of production and environmental preservation, consists transitioning from current, external input-based, conventional farming systems to a biodiversity-based agricultural system that rely more on ecosystem services. One lever this transition diversifying agri-food using practices such as rotation extension, intercropping (IC), multiple cropping or multi-services cover crops (MSCC) implementation. Here, we investigated what extent combination diversification could contribute enhancement sustainability current through an ex ante evaluation. We compared performances five diversified (DIV) arable crop regions France their local less reference (REF) by calculating various criteria implementing multi-criteria decision aid model. 76 assessing three dimensions were calculated (10, 17 49 for economic, social respectively). Our analysis showed improve while maintaining priori economic at satisfactory levels according expert working group. The DIV always had lower greenhouse gas (GHG) emissions REF often improved air water quality above- belowground biodiversity. However, may also cause drawbacks some indicators, negative impacts observed from, gross margin, NO3 lixiviation, NH3 volatilization pesticide use, in cases. suggested effect indicator can be either positive pedo-climatic context, level performance compromises management response objectives performance.
Language: Английский
Citations
35Resources Conservation and Recycling, Journal Year: 2021, Volume and Issue: 169, P. 105523 - 105523
Published: March 6, 2021
Citations
34Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10
Published: Feb. 14, 2022
The EU Mission Board for Soil Health and Food proposed a series of quantitative targets European soils to become healthier. Among them, current soil organic carbon (SOC) concentration losses in croplands (0.5% yr −1 on average at 20 cm depth) should be reversed an increase 0.1–0.4% by 2030. Quantitative are used policy makers incentivize the implementation agricultural practices that SOC stocks. However, there different approaches calculate them. In this paper, we analyzed effect exogenous matter (EOM) inputs evolution stocks, with particular focus new First, illustrated through two case-study experiments set when stock is calculated considering as reference: 1) level onset experiment 2) trend baseline, i.e., control treatment without EOM addition. Then, 11 long-term (LTEs) addition estimate amount (C) input needed reach 0.1 0.4% Food, approaches. We found that, target relative experiment, 2.51 2.61 Mg C ha additional were necessary, respectively. Reaching baseline required 1.38 1.77 input, Depending calculation method used, estimated amounts each significantly from other. Furthermore, quality represented retention rate material (EOM crop residue), had significant variation Our work highlights necessity take into consideration especially decreasing independently baseline.
Language: Английский
Citations
26European Journal of Soil Science, Journal Year: 2022, Volume and Issue: 73(6)
Published: Nov. 1, 2022
Abstract Soils store vast amounts of carbon (C) on land, and increasing soil organic ( SOC ) stocks in already managed soils such as croplands may be one way to remove C from the atmosphere, thereby limiting subsequent warming. The main objective this study was estimate amount additional input needed annually increase by 4‰ at 16 long‐term agricultural experiments Europe, including exogenous matter EOM additions. We used an ensemble six models ran them under two configurations: (1) with default parametrization (2) parameters calibrated site‐by‐site fit evolution control treatments (without ). compared model simulations analysed factors generating variability across models. able reproduce stock unfertilised treatments. found that, average, experimental sites 1.5 ± 1.2 Mg ha −1 year per over 30 years, (multi‐model median standard deviation sites). That is, a 119% control. While mean annual temperature, initial had significant effect predicted configuration (i.e., relative mean), only water‐related variables precipitation potential evapotranspiration) explained divergence between when calibrated. Our work highlights challenge agriculture accentuates need increasingly lean multi‐model ensembles predicting trends related processes. To reliability future climate change, we suggest developers better constrain decomposition. Highlights feasibility target studied experiments. An uncertainty predictions. On average sites, conditions. High mainly driven variables.
Language: Английский
Citations
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