The Effects of Soil Improving Cropping Systems (SICS) on Soil Erosion and Soil Organic Carbon Stocks across Europe: A Simulation Study

Nunes, João Pedro; Delden, Hedwig van; Vanhout, Roel; Fleskens, Luuk

doi:10.3390/land11060943

Cited by 6 publications

(6 citation statements)

References 82 publications

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“…The positive coefficient associated with arable land indicates that an expansion in the availability of arable land yields a favorable effect on the volume of exported food. The findings presented in this study align with the previous research conducted by Barron‐Gafford et al (2019), Pastor et al (2019), Grace et al (2020), Tello et al (2020), Haqiqi et al (2023), Baartman et al (2022), Alexander et al (2016), Suárez et al (2021), and Hinz et al (2020). These scholars have consistently argued that arable land plays a crucial role as a valuable resource for agricultural practices and the cultivation of crops.…”

Section: Resultssupporting

confidence: 92%

“…The authors argue that sustainable land use practices must accompany policy incentives and market‐based opportunities to ensure widespread use. In a similar vein, several researchers such as Pastor et al (2019), Grace et al (2020), Tello et al (2020), Haqiqi et al (2023), Baartman et al (2022) examine the impact of land use on environmental quality and food production. The negative impact of land‐use change on environmental degradation, biodiversity conservation, and food security remains a pressing challenge.…”

Section: Literature Reviewmentioning

confidence: 98%

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The trilemma of food production, clean energy, and water: COP27 perspective of global economy

Zhou,

Liao,

et al. 2024

Land Degrad Dev

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Food production is an essential component of global society, providing sustenance to the world's growing population. Countries export food to leverage their comparative advantages in agricultural production, satisfy the demands of international markets, and generate economic benefits. Additionally, food exports contribute to global food supply chains, which ensures the availability of food in places with limited production due to resource limits, climate conditions, or seasonal variations. As a reaction to these challenges, there has been a rise in the number of efforts made to promote food systems that are sustainable and resilient, to enhance food security. In recent years, green technologies have become increasingly crucial to the food production industry as they offer ways to minimize agriculture's environmental impact, encourage sustainable practices, and create high‐quality food. This study examines the impact of access to green technologies for cooking, CO2 emissions, arable land, and water productivity (WP) on global food production from 1990 to 2022. The study provides valuable insights for policymakers, academia and researchers regarding sustainable agricultural practices, trade development, and environmental conservation. Using advanced parametric approaches, the results show that access to clean technology for cooking, gross domestic product, and the availability of arable land positively affect food exports. On the other hand, WP demonstrates a negative influence on food exports. This highlights the requirement for environmentally responsible methods of water management.

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Section: Resultssupporting

confidence: 92%

Section: Literature Reviewmentioning

confidence: 98%

The trilemma of food production, clean energy, and water: COP27 perspective of global economy

Zhou,

Liao,

et al. 2024

Land Degrad Dev

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“…Its purpose is to simulate soil erosion rates, as well as SOC and AGB for various types of land uses with different soil and topographical characteristics. PESERA has been widely used in evaluating soil erosion, SOC and AGB (Baartman et al, 2022; Berberoglu et al, 2020). This study uniquely incorporates crop rotation into the PESERA model, enabling the calculation of the contributions of different crop rotation patterns to soil erosion, SOC and AGB.…”

Section: Methodsmentioning

confidence: 99%

“…Soil health is the ability of soil to continuously function and sustain plants, animals and humans (Lehmann et al, 2020). Three critical indicators for evaluating soil systems include soil organic carbon content (SOC), soil erosion, and aboveground biomass (AGB) (Baartman et al, 2022; Podmanicky et al, 2011; Poley & McDermid, 2020). SOC is one of the main indicators of soil health related to soil fertility and agricultural productivity (Lehmann et al, 2020; Ma et al, 2023), soil erosion by water is one of the main processes of land degradation occurring worldwide (FAO, 2019), while AGB is used to monitor vegetation growth (Borrelli et al, 2020; Poley & McDermid, 2020; Stockmann et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

Zhou,

Baartman,

Ning

et al. 2024

European J Soil Science

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Soil erosion represents a primary threat to soil systems with adverse implications for ecosystem services, crop production, potable water and carbon storage. While numerous studies have quantified the spatial distribution of aboveground Biomass (AGB), soil erosion and soil organic carbon (SOC) in the Yangtze River Basin (YRB), limited attention has been given to assessing the contributions of different land use types and especially crop types to AGB, soil erosion and SOC. In most studies, cropland is taken as a land use class, while detailed crop types and rotation patterns, and their effect on soil erosion and SOC, vary significantly. In this study, we used the Metronamica model to generate a detailed crop rotation and distribution map across the YRB and subsequently employed the Pan‐European Soil Erosion Risk Assessment (PESERA) model to simulate the spatial distribution of AGB, soil erosion and SOC on a monthly basis. PESERA model simulations indicate an average soil erosion rate across the entire YRB of 7.7 ton/ha/yr, with erosion hotspots concentrated in the Sichuan Basin and the central‐southern regions. The southwestern region and western Sichuan show elevated levels of AGB and SOC, while the eastern plains display lower levels. Erosion rates are lowest in areas designated as artificial land, pasture and grassland, whereas croplands and fruit tree plantations experience the highest erosion rates. In terms of crop types, the highest erosion rates and lowest AGB are observed under fallow and potato cultivation, while the lowest erosion rates and highest AGB are found in rice‐wheat rotation fields. To the best of our knowledge, this is the first study taking detailed crop types and patterns into account while evaluating their effect at a relatively large scale (i.e., YRB). These findings can help to develop sustainable soil management and (cropping) conservation strategies.

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“…An adjustment of the cropping pattern has been conducted in local areas to promote sustainable development in northeast China. Cropping patterns could affect the water use efficiency of crops [9] and the water erosion on sloped farmland [10][11][12]. The characteristics of TF, SF, and CI in farmland may vary with the type of crops and rainfall conditions.…”

Section: Introductionmentioning

confidence: 99%

The Throughfall, Stemflow, and Canopy Interception Loss in Corn and Soybean Fields in Northeast China

Wang,

Liu,

et al. 2024

Water

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Information about throughfall, stemflow, and canopy interception loss is essential for the water use efficiency of crops and the dynamic processes of water erosion. A two-year field experiment was conducted under natural rainfall conditions to observe the characteristics and factors that affect throughfall, stemflow, and canopy interception loss in corn (Zea mays L.) and soybean (Glycine max L.) fields in northeast China from 2019 to 2020. Nine measurement sites (A, B, C, D, E, F, G, H, and I) were distributed horizontally between two planting rows under the crop canopy. The mean value of the throughfall volume (TF) in measurement locations B, C, and G under the corn canopy and measurement locations B and C could represent the mean level of TF of corn and soybean fields, respectively. The volume of TF, stemflow (SF), and canopy interception loss (CI) of two growing seasons from 2019 to 2020 accounted for approximately 58.5%, 30.1%, and 11.4% of the gross rainfall (GR) of two growing seasons in corn fields, and 78.0%, 7.5%, and 14.5% of the GR in the soybean field, respectively. The TF and TFR of each rainfall event in the corn and soybean fields could be predicted by linear regression models with a normalized root mean square error (NRMSE) lower than 25.0%. These results and prediction models will be used in water management and soil erosion control in northeast China.

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The Effects of Soil Improving Cropping Systems (SICS) on Soil Erosion and Soil Organic Carbon Stocks across Europe: A Simulation Study

Cited by 6 publications

References 82 publications

The trilemma of food production, clean energy, and water: COP27 perspective of global economy

The trilemma of food production, clean energy, and water: COP27 perspective of global economy

Quantifying aboveground biomass, soil organic carbon and erosion with a detailed crop map and PESERA model in the Yangtze River Basin

The Throughfall, Stemflow, and Canopy Interception Loss in Corn and Soybean Fields in Northeast China

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