The Main Agroecological Structure (MAS) of the Agroecosystems: Concept, Methodology and Applications

León-Sicard, Tomás Enrique; Toro, Javier; Martínez-Bernal, Liven Fernando; Cleves-Leguízamo, José Alejandro

doi:10.3390/su10093131

Cited by 15 publications

(29 citation statements)

References 37 publications

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“…Agroecosystems are human-made ecosystems that relate living organisms to their environment within arbitrarily delineated boundaries [27] at plot, farm or territory scales [28]. The success or failure of an agroecosystem depends on many physical, biological and socio-economic factors dominated by climate, soil and management [29,30].…”

Section: Definition Of Natural System and Subsystemsmentioning

confidence: 99%

Nutrient Diagnosis of Fertigated “Prata” and “Cavendish” Banana (Musa spp.) at Plot-Scale

Neto

Deus

Filho³

et al. 2020

Plants

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Fertigation management of banana plantations at a plot scale is expanding rapidly in Brazil. To guide nutrient management at such a small scale, genetic, environmental and managerial features should be well understood. Machine learning and compositional data analysis (CoDa) methods can measure the effects of feature combinations on banana yield and rank nutrients in the order of their limitation. Our objectives are to review ML and CoDa models for application at regional and local scales, and to customize nutrient diagnoses of fertigated banana at the plot scale. We documented 940 “Prata” and “Cavendish” plot units for tissue and soil tests, environmental and managerial features, and fruit yield. A Neural Network informed by soil tests, tissue tests and other features was the most proficient learner (AUC up to 0.827). Tissue nutrients were shown to have the greatest impact on model accuracy. Regional nutrient standards were elaborated as centered log ratio means and standard deviations of high-yield and nutritionally balanced specimens. Plot-scale diagnosis was customized using the closest successful factor-specific tissue compositions identified by the smallest Euclidean distance from the diagnosed composition using centered or isometric log ratios. Nutrient imbalance differed between regional and plot-scale diagnoses, indicating the profound influence of local factors on plant nutrition. However, plot-scale diagnoses require large, reliable datasets to customize nutrient management using ML and CoDa models.

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Section: Definition Of Natural System and Subsystemsmentioning

confidence: 99%

Nutrient Diagnosis of Fertigated “Prata” and “Cavendish” Banana (Musa spp.) at Plot-Scale

Neto

Deus

Filho³

et al. 2020

Plants

View full text Add to dashboard Cite

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“…Based on these recommendations, a review of references related to indicators of resilience to climate variability (references are listed in Table 1, Column 7 and [10,11,[28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44]) was carried out, and a group of indicators and their respective weightings were constructed.…”

Section: Weighting Of Categories Components and Indicatorsmentioning

confidence: 99%

“…From the point of view of the methods and indicators for the evaluation of the resilience of agroecosystems, the literature reports different approaches in local and global territorial contexts [10,11,[28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44], most of which are related to the analysis of so-called general resilience [10]. This evaluation in developing countries has been approached with indices that seek to capture the greatest number of variables.…”

Section: Introductionmentioning

confidence: 99%

A Method to Assess Agroecosystem Resilience to Climate Variability

2022

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Agroecosystems are influenced by climate variability, which puts their productivity at risk. However, they tend to maintain a functional state through their resilience. The literature presents several methods for assessing general resilience, but for specific resilience to climate variability, there are very few methods. An index is proposed that assesses the resilience of agroecosystems to climate variability, based on approaches and indicators that consider the interrelationships of agricultural systems with the environment. The index is made up of a set of multidimensional indicators, which give weight to the role that these play in the resilience of an agroecosystem. As a result, decision-making is assisted in the attempt to adapt or modify components of a farm, technology, and the culture of farmers. This index conceptually introduces structural and linkage indicators that assess ecological connections within farms and between farms and their environment. To demonstrate the effectiveness of the method, an application was implemented to evaluate the resilience to climate variability of fifty-one farms, located in Colombia, dedicated to citrus production, and it was verified that the most resilient farms were those that have the best qualified indicators, as well as being the ones with the highest level of production and profitability.

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“…As many of these factors as possible should be manipulated to produce food in a manner that does not destroy the ability of the agro ecosystem to continue functioning for a reasonable period of time. The agro ecosystem is an ecosystem deliberately modified by human beings in order to obtain goods and services with different purposes and therefore it is the place where dynamic relationships between the culture and its physicalbiological environment are presented (León-Sicard et al, 2018). Many fertilizer raw materials and soil conditioners are of geological provenance and therefore agrogeology or agricultural geology should be an important aspect of the agricultural industry.…”

Section: Introductionmentioning

confidence: 99%

A Review of Agrogeological resources of Nigeria

Chukwudi¹

2021

J. Geol. Min. Res.

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The distribution and utilization of agrogeological resources in Nigeria are discussed. These are rocks and minerals applied in agriculture. They occur in a wide variety of environments that range in age from Pre-Cambrian to Recent. The resources may be utilized to solve problems of pH, texture and structure of rocks. Limestone, dolomite and any base-rich materials like carbonatites, as well as basic and ultra basic silicate rocks could be used to correct acidity in soils. The adverse effects of soil alkalinity may be tackled by the application of suphides, for example pyrite and marcasite. Texture can be modified by adding geological materials to the soil that have contrasting grain size. Solid structure may be improved upon by providing a good nutrient base and by encouraging a buildup of organic matter. The resources could also provide essential plant nutrients which include nitrogen, phosphorus, potassium, calcium, magnesium, copper, manganese, iron, molybdenum, sulphur and boron.

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The Main Agroecological Structure (MAS) of the Agroecosystems: Concept, Methodology and Applications

Cited by 15 publications

References 37 publications

Nutrient Diagnosis of Fertigated “Prata” and “Cavendish” Banana (Musa spp.) at Plot-Scale

Nutrient Diagnosis of Fertigated “Prata” and “Cavendish” Banana (Musa spp.) at Plot-Scale

A Method to Assess Agroecosystem Resilience to Climate Variability

A Review of Agrogeological resources of Nigeria

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