Evaluation on soil bioengineering measures in agricultural areas: Poorer durability of wooden structures and better aboveground habitat improvements

Zhang, Zhenxing; Cao, Lei; Zhu, Ziyu; He, Chunguang; Xiang, Hongyong; Xu, Liang; Sun, Caiyun; Lin, Chenlu; Yang, Haijun; Li, Kun

doi:10.1016/j.ecoleng.2019.01.004

Cited by 14 publications

(3 citation statements)

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“…As we said at the beginning, the Apuan Alps are characterised by steep slopes and unstable soils, and it is in these geomorphological situations where soil erosion and slope stability need to be kept under control. Understanding the evolution of root systems over time, especially in areas restored with SWBE techniques, is important to understand the health of the vegetation and plan management interventions to maintain the work [42,43]. It was one of the first SWBE interventions in Tuscany to restore a large landslide; the implementation was effective and successful, without requiring any kind of supplementary intervention but leaving the restored area to evolve naturally.…”

Section: Discussionmentioning

confidence: 99%

Root System Evolution Survey in a Multi-Approach Method for SWBE Monitoring: A Case Study in Tuscany (Italy)

Giachi,

Giambastiani,

Giannetti

et al. 2024

Sustainability

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Land degradation and soil erosion, intensified by frequent intense hydro-meteorological events, pose significant threats to ecological processes. In response to the environmental challenges, there is a growing emphasis on employing Nature-Based Solutions (NBS), such as Soil and Water Bioengineering (SWBE) techniques, which promote a sustainable approach and materials for the restoration of natural areas damaged by climate events, unlike traditional “grey” engineering works. However, the effective implementation of SWBE interventions requires a multidisciplinary monitoring approach, considering engineering, geological, ecological, biological, and landscape aspects. The success of these interventions depends on evaluating both short-term stabilities provided by the non-living supporting structure and the long-term development of vegetation introduced during the work. Monitoring should regard structural integrity assessments, vegetation evolution studies, and analyses of root system efficiency (distribution, mechanical characteristics, etc.). This study wants to fill the research gap in SWBE management by proposing a comparison of two study techniques for a root system development evaluation, within a multi-approach methodology for the assessment of these interventions in terms of soil stability and natural evolution. The paper provides insights into geotechnical analysis within a shallow landslide, comparing two different methods for the evaluation of root system evolution. Direct methods (RAR) and indirect methods (ERT) were used for root development monitoring and then compared. Vegetation development was assessed by NDVI parameter by analysing Landsat satellite images. An overall analysis of the data obtained from monitoring the study area shows good plant development, thanks to the SWBE intervention, which in addition to the slope stability effect contributes to better water regulation and initiates a natural ecological succession. The findings contribute to advancing the understanding of the effectiveness of SWBE techniques, offering valuable information for future bioengineering projects and environmental conservation efforts, and promoting them as sustainable techniques for natural recovery.

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Section: Discussionmentioning

confidence: 99%

Root System Evolution Survey in a Multi-Approach Method for SWBE Monitoring: A Case Study in Tuscany (Italy)

Giachi,

Giambastiani,

Giannetti

et al. 2024

Sustainability

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“…Considerando que as respostas das plantas à micorrização variam em função da espécie de planta e de fungo micorrízico, pode-se citar que os efeitos benéficos desta simbiose citados nos trabalhos selecionados foram: a) aumento significativo a alta capacidade de ação dos fungos em variados tipos de solos e alta capacidade de associação simbiótica às fabáceas (BAĞDATLI et al, 2019;GARG et al, 2016;MAHDH et al, 2019); b) Influência significativa no crescimento vegetal avaliado pela massa seca da raiz, comprimento da raiz, diâmetro da raiz, teor de clorofila, e volume e número das vagens (GARG et al, 2016;MARZBAN et al, 2017;ROCKSTROM et al, 2017); c) Melhor absorção e fixação dos macro e micronutrientes (GARG et al, 2016;GOMES et al, 2020;ZHANGA et al, 2019); d) Capacidade de trabalho sinérgico com rizobactérias (HACK et al, 2019;KOHLER et al, 2015); e) Produção de Lipochitooligossacarídeos (LCOs) que induz ao aumento de pelos radiculares (COPE et al, 2019); f) Tolerância a solos salinos (BÂ et al, 2015;GARG et al, 2015); g) Resistência a inundações com surgimento de raízes adventícias, tecido de aerênquima e lenticelas em raízes submersas e h) fitorremediação de solos contaminados com chumbo e zinco (YANG et al, 2015). EFC:…”

Section: Ebeunclassified

Modelo multicritério de apoio à decisão sobre o uso de fungos micorrízicos em fabáceas

Santos

Holanda

Menezes

et al. 2021

RICA

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Abordar e compreender melhor as relações solo-planta-microbiota nas ciências agrárias podem melhorar o sucesso da produção e reduzir custos, nesta perspectiva, parece vantajoso desenvolver mecanismos seguros, automatizados, organizados e controláveis no levantamento das evidências e que considere a validade e relevância das afirmativas encontradas. Esta pesquisa teve por objetivo identificar através de um modelo multicritério de apoio à decisão o efeito das interações simbióticas entre fungos micorrízicos (FM) em fabáceas comestíveis com base na literatura atual sobre os possíveis benefícios e dificuldades da agricultura sobre essa interação. Foram realizadas buscas em duas bases de dados: Scopus e Web of Science. Os critérios adotados foram: artigos que apresentaram referência direta aos descritores 'Mycorrhizae' e 'Leguminous or Fabaceae'; artigos de pesquisa publicados entre 2015 e 2020 disponíveis em inglês e que apresenta os descritores primários nos seguintes campos: título (title), resumo (abstract) e palavras-chave (keywords). Como critério de classificação da importância e da similaridade dos artigos estudados foi utilizado o método de escore por ocorrência de descritores e fatores de qualidade tais como: inovação, estrutura e capacidade de transferência da tecnologia, seguindo as recomendações de acordo com o Manual Cochrane de Revisões Sistemáticas de Intervenções. O modelo apresentou resultados positivos do uso de FM em pesquisas relacionadas com a fitorremediação de solos contaminados com chumbo e zinco, aumento da massa vegetal seca, volume de raiz e resistência à salinidade e à inundação. O método utilizado demonstrou fatores positivos e concorrentes na interação de micorrizas arbusculares em fabáceas cultiváveis para destino alimentar.

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“…Excess nutrients such as nitrogen and phosphorus in freshwaters usually lead to eutrophication, one of the most common reasons for water quality degradation [20,21]. Many efforts have been done to improve the water quality of freshwaters via direct or indirect ways [22,23]. Monitoring water quality in freshwaters is still the first priority for many ecological studies, water quality control, and restoration projects [24,25].…”

Section: Introductionmentioning

confidence: 99%

Sensors Applied for the Detection of Pesticides and Heavy Metals in Freshwaters

Xiang

Cai

et al. 2020

Journal of Sensors

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Water is essential for every life living on the planet. However, we are facing a more serious situation such as water pollution since the industrial revolution. Fortunately, many efforts have been done to alleviate/restore water quality in freshwaters. Numerous sensors have been developed to monitor the dynamic change of water quality for ecological, early warning, and protection reasons. In the present review, we briefly introduced the pollution status of two major pollutants, i.e., pesticides and heavy metals, in freshwaters worldwide. Then, we collected data on the sensors applied to detect the two categories of pollutants in freshwaters. Special focuses were given on the sensitivity of sensors indicated by the limit of detection (LOD), sensor types, and applied waterbodies. Our results showed that most of the sensors can be applied for stream and river water. The average LOD was 72.53±12.69 ng/ml (n=180) for all pesticides, which is significantly higher than that for heavy metals (65.36±47.51 ng/ml, n=117). However, the LODs of a considerable part of pesticides and heavy metal sensors were higher than the criterion maximum concentration for aquatic life or the maximum contaminant limit concentration for drinking water. For pesticide sensors, the average LODs did not differ among insecticides (63.83±17.42 ng/ml, n=87), herbicides (98.06±23.39 ng/ml, n=71), and fungicides (24.60±14.41 ng/ml, n=22). The LODs that differed among sensor types with biosensors had the highest sensitivity, while electrochemical optical and biooptical sensors showed the lowest sensitivity. The sensitivity of heavy metal sensors varied among heavy metals and sensor types. Most of the sensors were targeted on lead, cadmium, mercury, and copper using electrochemical methods. These results imply that future development of pesticides and heavy metal sensors should (1) enhance the sensitivity to meet the requirements for the protection of aquatic ecosystems and human health and (2) cover more diverse pesticides and heavy metals especially those toxic pollutants that are widely used and frequently been detected in freshwaters (e.g., glyphosate, fungicides, zinc, chromium, and arsenic).

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Evaluation on soil bioengineering measures in agricultural areas: Poorer durability of wooden structures and better aboveground habitat improvements

Cited by 14 publications

References 58 publications

Root System Evolution Survey in a Multi-Approach Method for SWBE Monitoring: A Case Study in Tuscany (Italy)

Root System Evolution Survey in a Multi-Approach Method for SWBE Monitoring: A Case Study in Tuscany (Italy)

Modelo multicritério de apoio à decisão sobre o uso de fungos micorrízicos em fabáceas

Sensors Applied for the Detection of Pesticides and Heavy Metals in Freshwaters

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