Vital for Sustainable Agriculture: Pedological Knowledge and Mapping

European Journal of Soil Science, Journal Year: 2025, Volume and Issue: 76(1)

Published: Jan. 1, 2025

ABSTRACT Over the past 60 years, efforts to enhance agricultural productivity have mainly focussed on optimising strategies such as use of inorganic fertilisers, advancements in microbiology and improved water management practices. Here, we emphasise critical role pedology a foundation soil long‐term sustainability. We will demonstrate how overlooking intrinsic properties soils can result detrimental effects overall Communication between academia, extension experts, consultants farmers often results an overemphasis surface layer, for example, 20 40 cm, neglecting functions that occur at depth. Soil health regenerative agriculture must be coupled with understanding dynamic system. find pedological knowledge digital mapping technologies are underused achieving sustainable agriculture. By bridging gap emerging technologies, provide land users tools needed make informed decisions, ensuring their practices not only increase production but also preserve future generations.

Language: Английский

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Pedotransfer function for predicting deep-soil bulk density and assessing soil organic carbon and nitrogen stocks across land uses in coarse-textured soils

CATENA, Journal Year: 2025, Volume and Issue: 256, P. 109145 - 109145

Published: May 11, 2025

Language: Английский

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A soil organic carbon mapping method based on transfer learning without the use of exogenous data

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: May 16, 2025

Accurate and cost-effective mapping of soil organic carbon (SOC) is critical for understanding dynamics informing sustainable land management. Although deep learning-based methods have demonstrated strong potential in digital mapping, they typically require large amounts data. However, the availability site-level SOC observations often limited, which poses a challenge model performance. To address this, we propose novel transfer learning approach based on Convolutional Neural Network (CNN) that does not rely exogenous Specifically, when predicting given layer, first pre-trained data from all layers then fine-tuned using target layer. This design enables more efficient use limited site Experimental results show proposed consistently outperforms other machine models, including Random Forest (RF), standard CNN, Multi-Task CNN (MTCNN) models. The achieves coefficient determination (R 2 ) 0.374 root mean square error (RMSE) 2.937%, indicating superior These findings highlight effectiveness under data-scarce conditions underscore its as robust tool accurate estimation.

Language: Английский

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Can silvopasture with arboreal legumes increase root mass at deeper soil layers and improve soil aggregation?

Soil Science Society of America Journal, Journal Year: 2024, Volume and Issue: 88(6), P. 2211 - 2226

Published: Sept. 14, 2024

Abstract Silvopastoral system (SPS) is a multifunctional agroforestry practice. This study evaluate soil properties and root biomass under SPS in Pernambuco, Brazil. The experiment was established 2011. treatments were (1) monoculture signalgrass (MS) [ Urochloa decumbens (Stapf.) R. D. Webster], (2) intercropped pasture of with legume Gliricidia (SG) sepium (Jacq.) Steud.], (3) sabiá (SS) ( Mimosa caesalpiniifolia Benth). Treatments allocated randomized complete block design three replications. Samples collected at 0‐ to 10‐, 10‐ 20‐, 20‐ 40‐, 40‐ 60‐, 60‐ 80‐, 80‐ 100‐, 100‐ 120‐cm depths. Soil samples also taken from the native forest (NF) considered as reference same Experimental Station. Legume (SG SS) presented greater per unit area compared MS 80‐cm depth p < 0.05); however, had hectare top layers. average values weighted mean diameter aggregates 3.20, 3.19, 3.07, 3.27 mm MS, SG, SS, NF, respectively, increased cation exchange capacity deeper layers, indicating biological activity depth. Grasslands store 235 Mg C ha−1 71% that found layers (20–120 cm). arboreal legumes has potential improve deep storage resilience livestock systems tropical regions.

Language: Английский

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Impacts of land use change on soil carbon storage and phosphorus fractions in tropics

CATENA, Journal Year: 2024, Volume and Issue: 247, P. 108550 - 108550

Published: Nov. 15, 2024

Language: Английский

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