Alternative combinations of tillage practices and crop rotations can foster earthworm density and bioturbation DOI Creative Commons
Kaisa Torppa, Astrid Taylor

Applied Soil Ecology, Journal Year: 2022, Volume and Issue: 175, P. 104460 - 104460

Published: March 16, 2022

Earthworms, which contribute to important soil functions, suffer from intensive agriculture. Their response depends among other things on the earthworm ecological group (anecic, endogeic, epigeic) and combination of applied farming practices. To advice methodological adaptations that enhance earthworm-mediated effects different practices earthworms need be studied in concert. We investigated tillage intensity (conventional, reduced, no tillage) crop rotation diversity (simple = wheat, barley; diverse peas, oil seed rape) density community composition a Swedish long-term experiment. Furthermore, we calculated annual bioturbation quantify functions. Total densities did not vary between intensities, but were average 58% higher than simple rotation. The pattern was mainly due most abundant endogeic earthworms, affected by intensity, nearly two times more Densities anecic 17 under conventional tillage. Anecic also benefitted diversified rotation, depended intensity. level reflected four tillage, 549 g dw m−2 year−1, conclude highest is best achieved with However, potentially can increased when reducing feasible.

Language: Английский

Soil structure changes induced by tillage and reduction of machinery traffic on sugarcane – A diversity of assessment scales DOI
Felipe Bonini da Luz, Martha Lustosa Carvalho, Guilherme Adalberto Ferreira Castioni

et al.

Soil and Tillage Research, Journal Year: 2022, Volume and Issue: 223, P. 105469 - 105469

Published: June 22, 2022

Language: Английский

Citations

23
How to adequately represent biological processes in modeling multifunctionality of arable soils DOI Creative Commons
Hans J. Vogel, Wulf Amelung, Christel Baum

et al.

Biology and Fertility of Soils, Journal Year: 2024, Volume and Issue: 60(3), P. 263 - 306

Published: March 11, 2024

Abstract Essential soil functions such as plant productivity, C storage, nutrient cycling and the storage purification of water all depend on biological processes. Given this insight, it is remarkable that in modeling these functions, various actors usually do not play an explicit role. In review perspective paper we analyze state art how processes could more adequately be accounted for. We for six different biologically driven clusters are key understanding namely i) turnover organic matter, ii) N cycling, iii) P dynamics, iv) biodegradation contaminants v) disease control vi) structure formation. A major conclusion development models to predict changes at scale profiles (i.e. pedons) should better rooted underlying known a large extent. This prerequisite arrive predictive urgently need under current conditions Global Change.

Language: Английский

Citations

6
Temporal Stability of Grassland Soil Moisture Utilising Sentinel-2 Satellites and Sparse Ground-Based Sensor Networks DOI Creative Commons
Rumia Basu, Eve Daly, Colin Brown

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 220 - 220

Published: Jan. 5, 2024

Soil moisture is important for understanding climate, water resources, storage, and land use management. This study used Sentinel-2 (S-2) satellite optical data to retrieve surface soil at a 10 m scale on grassland sites with low hydraulic conductivity in climate dominated by heavy rainfall. was estimated after modifying the Optical Trapezoidal Model account mixed cover such conditions. The method uses from short-wave infra-red band, which sensitive moisture, four vegetation indices bands, are overlying vegetation. Scatter plots of these multiple, infrequent passes define range saturated dry edges clearly non-linear, regardless choice index. Land masks generate scatter only over sites. Enhanced Vegetation Index demonstrated advantages other estimation entire In poorly drained soils, time lag between retrievals situ sensor depth must be part validation process. achieved combining an approximate solution Richards’ Equation, along measurements residual samples, optimise correlations satellites sensors 15 cm depth. Time lags 2–4 days resulted reduction root mean square errors volumetric predicted S-2 that measured sensors, ~0.1 m3/m3 <0.06 m3/m3. results two were analysed using statistical concepts based upon temporal stability content, ideal framework intermittent conditions persistent cloud cover. analysis could discriminate different natural drainages textures areas identify sub-surface artificial drainage channels. techniques transferable land-use agricultural management diverse environmental without need extensive expensive networks.

Language: Английский

Citations

5
Soil, climate, time and site factors as drivers of soil structure evolution in agricultural soils from a temperate-boreal region DOI Creative Commons

Tobias Klöffel,

Jennie Barron, Attila Nemes

et al.

Geoderma, Journal Year: 2024, Volume and Issue: 442, P. 116772 - 116772

Published: Jan. 12, 2024

The evolution of soil structure in agricultural soils is driven by natural and anthropogenic factors including inherent properties, climate management interventions, all acting at different spatial temporal scales. Although the causal relationships between these individual are increasingly understood, their relative importance complex interactive effects on have so far not been investigated across a geo-climatic region. Here we present first attempt to identify that drive as well direction effect with focus temperate-boreal zone. This was done using random forest (RF) approach soil, climate, time, site covariates. Relative entropy, quantified Kullback-Leibler (KL) divergence, used quantitative index structure, which derived from particle-size distribution water retention data, integrates pores micrometre-scale large macropores. Our dataset includes 431 intact topsoil subsoil samples 89 sites Sweden Norway, were sampled 1953 2017. covariates for identified non-linear non-monotonic KL divergence through partial dependence analysis. To reveal any differences topsoils (0–30 cm; n = 174) subsoils (30–100 257), same analysis repeated separately two subsets. able explain average more than 50% variation when only included. However, predictions poorer (≈ 35%), underlining dynamics topsoils. Parent material most important predictor followed clay content sampling year samples. Mean annual air temperature ranked third precipitation fourth it remains unclear whether direct (e.g., freezing thawing, wetting drying, rainfall impact) or indirectly expressed interactions management. revealed organic carbon threshold around 3% below starts deteriorate. Besides this, our results suggest land deteriorated steadily during 1950′s 1970′s, attribute traffic compaction consequence intensification. We discuss findings light data bias, laboratory methods multicollinearity conclude here gave valuable insights into drivers Theses will be use inform interventions address properties functions related it.

Language: Английский

Citations

5
Alternative combinations of tillage practices and crop rotations can foster earthworm density and bioturbation DOI Creative Commons
Kaisa Torppa, Astrid Taylor

Applied Soil Ecology, Journal Year: 2022, Volume and Issue: 175, P. 104460 - 104460

Published: March 16, 2022

Earthworms, which contribute to important soil functions, suffer from intensive agriculture. Their response depends among other things on the earthworm ecological group (anecic, endogeic, epigeic) and combination of applied farming practices. To advice methodological adaptations that enhance earthworm-mediated effects different practices earthworms need be studied in concert. We investigated tillage intensity (conventional, reduced, no tillage) crop rotation diversity (simple = wheat, barley; diverse peas, oil seed rape) density community composition a Swedish long-term experiment. Furthermore, we calculated annual bioturbation quantify functions. Total densities did not vary between intensities, but were average 58% higher than simple rotation. The pattern was mainly due most abundant endogeic earthworms, affected by intensity, nearly two times more Densities anecic 17 under conventional tillage. Anecic also benefitted diversified rotation, depended intensity. level reflected four tillage, 549 g dw m−2 year−1, conclude highest is best achieved with However, potentially can increased when reducing feasible.

Language: Английский

Citations

22