Agriculture Ecosystems & Environment, Journal Year: 2025, Volume and Issue: 381, P. 109462 - 109462
Published: Jan. 8, 2025
Language: Английский
Agriculture Ecosystems & Environment, Journal Year: 2025, Volume and Issue: 381, P. 109462 - 109462
Published: Jan. 8, 2025
Language: Английский
Soil and Tillage Research, Journal Year: 2023, Volume and Issue: 237, P. 105959 - 105959
Published: Nov. 25, 2023
Language: Английский
Citations
100Communications Earth & Environment, Journal Year: 2023, Volume and Issue: 4(1)
Published: May 8, 2023
Abstract Numerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those aiming at prediction, validation is a critical step gain confidence in projections. With comprehensive review of ~250 models, we assess how validated depending on their objectives features, discuss predictive can be improved. We find lack independent using observed time series. Conducting such validations should priority improve the model reliability. Approximately 60% analysed not designed for predictions, but rather conceptual understanding processes. These provide important insights by identifying key processes alternative formalisms that relevant models. argue combining based series improved information flow between will increase reliability predictions.
Language: Английский
Citations
57Soil Biology and Biochemistry, Journal Year: 2023, Volume and Issue: 180, P. 108988 - 108988
Published: Feb. 20, 2023
Language: Английский
Citations
49Global Change Biology, Journal Year: 2024, Volume and Issue: 30(1)
Published: Jan. 1, 2024
Soils store large quantities of carbon in the subsoil (below 0.2 m depth) that is generally old and believed to be stabilized over centuries millennia, which suggests sequestration (CS) can used as a strategy for climate change mitigation. In this article, we review main biophysical processes contribute storage mathematical models represent these processes. Our guiding objective whether process understanding soil movement vertical profile help us assess persistence at timescales relevant Bioturbation, liquid phase transport, belowground inputs, mineral association, microbial activity are contributing formation profiles, represented using diffusion-advection-reaction paradigm. Based on simulation examples measurements from radiocarbon profiles across biomes, found advective diffusive transport may only play secondary role profiles. The difference between root inputs decomposition seems primary determining shape with depth. Using transit time new show small travel through horizons longer than 50 years, implying activities promote CS must take into consideration very long term.
Language: Английский
Citations
22European Journal of Soil Science, Journal Year: 2025, Volume and Issue: 76(1)
Published: Jan. 1, 2025
ABSTRACT Conventional tillage, including ploughing after harvest and/or for seedbed preparation, aims to incorporate crop residues and weeds loosen, mix aerate the soil. However, less beneficial effects, such as a loss of soil organic carbon (SOC), are also associated with intensive tillage. This has made reduced minimum tillage systems without increasingly popular in agriculture, contributing health climate change mitigation. We studied effects different on chemical microbial properties long‐term field experiment established fine‐sandy loamy Haplic Chernozem Fuchsenbigl, Austria, 1988. The treatments include conventional (CT) plough cultivator down 30 cm depth, (RT) 15 two three times year, well (MT) treated rotary driller once year 5–8 depth. In 2016, sampling campaign was conducted, alkaline phosphatase, phospholipid fatty acids (PLFAs), nitrogen (N) mineralisation potential were analysed along SOC, active C, total (N t ), CAL extractable phosphorus (P ) potassium (K ). Under MT, these significantly higher compared CT 0–10 cm. deeper layers, parameters showed very few significant differences between treatments. RT yielded intermediate values but not always from CT. PLFA indicators correlated SOC and, even more distinctly, N carbon. high ratio Gram‐positive Gram‐negative bacteria indicates recalcitrant matter top layer MT than
Language: Английский
Citations
3Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124085 - 124085
Published: Jan. 17, 2025
Language: Английский
Citations
2Global Change Biology, Journal Year: 2020, Volume and Issue: 27(4), P. 904 - 928
Published: Nov. 7, 2020
Abstract Simulation models represent soil organic carbon (SOC) dynamics in global (C) cycle scenarios to support climate‐change studies. It is imperative increase confidence long‐term predictions of SOC by reducing the uncertainty model estimates. We evaluated simulated from an ensemble 26 process‐based C comparing simulations experimental data seven bare‐fallow (vegetation‐free) plots at six sites: Denmark (two sites), France, Russia, Sweden and United Kingdom. The decay these has been monitored for decades since last inputs plant material, providing opportunity test decomposition without continuous input new material. were run independently over multi‐year simulation periods (from 28 80 years) a blind with no calibration (Bln) following three scenarios, each different levels information and/or allowing fitting: (a) calibrating parameters separately site (Spe); (b) using generic, knowledge‐based, parameterization applicable Central European region (Gen); (c) combination both strategies (Mix). addressed uncertainties modelling approaches or spin‐up initialization SOC. Changes multi‐model median (MMM) used as descriptors performance. On average across sites, Gen proved adequate describing changes SOC, MMM equal (and standard deviation) 39.2 (±15.5) Mg C/ha compared observed mean 36.0 (±19.7) (last year), indicating sufficiently reliable Moving Mix (37.5 ± 16.7 C/ha) Spe (36.8 19.8 provided only marginal gains accuracy, but modellers would need apply more knowledge greater effort than Gen, thereby limiting wider applicability models.
Language: Английский
Citations
94Global Change Biology, Journal Year: 2021, Volume and Issue: 27(8), P. 1645 - 1661
Published: Jan. 15, 2021
Abstract Many studies have assessed the potential of agricultural practices to sequester carbon (C). A comprehensive evaluation impacts requires not only considering C storage but also direct and indirect emissions greenhouse gases (GHG) their side effects (e.g., on water cycle or production). We used a high‐resolution modeling approach with Simulateur mulTIdisciplinaire pour les Cultures Standard soil‐crop model quantify soil organic (SOC) potential, GHG balance, biomass production nitrogen‐ water‐related for all arable land in France current cropping systems (baseline scenario) three mitigation scenarios: (i) spatial temporal expansion cover crops, (ii) insertion extension temporary grasslands (two sub‐scenarios) (iii) improved recycling resources as fertilizer. In baseline scenario, SOC decreased slightly over 30 years crop‐only rotations increased significantly crop/temporary grassland rotations. Results highlighted strong trade‐off between rate per unit area (kg ha −1 year ) scenarios areas which they could be applied. As result, while most promising scenario at field scale was (+466 kg stored depth 0.3 m compared baseline, 0.68 Mha), national scale, it by far crops (+131 , 17.62 Mha). Side crop production, irrigation nitrogen varied greatly depending situation. At combining mitigate 54% (−11.2 from 20.5 Mt CO 2 e ), remaining would still lie objective C‐neutral agriculture.
Language: Английский
Citations
65Nature Climate Change, Journal Year: 2022, Volume and Issue: 12(4), P. 324 - 331
Published: April 1, 2022
Language: Английский
Citations
43Soil and Tillage Research, Journal Year: 2023, Volume and Issue: 232, P. 105786 - 105786
Published: June 2, 2023
Language: Английский
Citations
26