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Forests
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Models for Soil Organic Matter Estimation on Natural Ecosystems, Agricultural...
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Models for Soil Organic Matter Estimation on Natural Ecosystems, Agricultural Soils and Urban Soils

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Soil".

Deadline for manuscript submissions: closed (30 January 2023) | Viewed by 5516

Special Issue Editors

Dr. Francisco Bautista

E-Mail Website
Guest Editor
Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Antigua Carretera a Pátzcuaro No. 8701, Col. Ex-Hacienda de San José de la Huerta, Morelia 58190, México
Interests: urban fitness; land suitability; agricultural aptitude; environmental suitability; land evaluation; soil organic matter; karst environments; soil magnetism; heavy metals
Dr. Fernando Ayala-Niño

E-Mail Website
Co-Guest Editor
Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Avenida de los Barrios Número 1, Colonia Los Reyes Ixtacala, Tlalnepantla 54090, Estado de México, México
Interests: soil organic carbon; soil process; land evaluation

Special Issue Information

Dear Colleagues,

The increase in organic matter in the world's soils is key to mitigating the harmful effects of global climate change. In recent years, estimates of soil organic carbon have been made at multiple scales, from the plot to the regional and even continental scales. To improve soil organic matter inventories, we need to design and apply new tools and methodological strategies in soils from natural ecosystems, agricultural soils and even urban soils.

This Special Issue plans to overview the most recent advances in estimating soil organic matter (SOM) in natural ecosystems, agricultural soils and urban soils. 

This Special Issue aims to provide selected contributions and advances in the quantification and/or estimation of soil organic matter, new tools and methodologies for different scales and methods to increase soil organic matter.

Potential topics include, but are not limited to, the following:

  • New methods to estimate SOM;
  • SOM in natural ecosystems;
  • SOM in agroecosystems;
  • SOM in urban soils;
  • Maps of SOM from the plot to the regional scale;
  • Strategies to increase SOM.

Dr. Francisco Bautista Zuñiga
Dr. Fernando Ayala-Niño
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • soil organic matter
  • soil organic carbon
  • humus
  • soil carbon sequestration
  • soil carbon pools
  • soil carbon modelling

Published Papers (3 papers)

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Research

13 pages, 3943 KiB  
Article
Organic Matter Content in Mangrove Soils from a Karstic Environment: Comparison between Thermogravimetric and Loss-on-Ignition Analytical Techniques
by José Luis Cortés-Esquivel, Jorge Herrera-Silveira and Patricia Quintana-Owen
Forests 2023, 14(7), 1469; https://doi.org/10.3390/f14071469 - 18 Jul 2023
Cited by 1 | Viewed by 1509
Abstract
Mangroves represent one of the most important carbon sinks on the planet due to their ability to store a high organic matter (OM) concentration in their soils. Therefore, OM analysis is important for generating inventories that do not underestimate or overestimate carbon stocks [...] Read more.
Mangroves represent one of the most important carbon sinks on the planet due to their ability to store a high organic matter (OM) concentration in their soils. Therefore, OM analysis is important for generating inventories that do not underestimate or overestimate carbon stocks and for reducing uncertainties. Accordingly, we propose the use of thermogravimetric analysis (TGA) against the classical ignition method to determine the OM content in mangrove soils from a karstic region of the Yucatan Peninsula, Mexico. Therefore, fifty-five soil profiles from El Playón in the Sian Ka’an Biosphere Reserve were analyzed and divided according to the condition of the mangrove: conserved, under restoration, or degraded. TGA analysis of mangrove soils, which are in direct contact with water bodies, can be used to accurately identify the thermal decomposition of hydrated calcium sulfates, which cannot be detected using the loss-on-ignition (LOI) method. Using TGA, it was determined that the water content in the internal structure of hydrated calcium sulfates was between 8 and 16% in the preserved mangrove soils, between 2 and 5% in the mangrove soils under restoration, and between 0.5 and 1% in the degraded mangrove soils. The OM content obtained using both techniques was similar; however, using TGA, the amount of water evaporated from calcium sulfates could be measured, and this was not possible with the LOI method. Therefore, the TGA technique can be used as a proxy analysis to determine the OM content in soils, including the amount of water from hydrated calcium sulfates that are found naturally. Full article
(This article belongs to the Special Issue Models for Soil Organic Matter Estimation on Natural Ecosystems, Agricultural Soils and Urban Soils)
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17 pages, 3800 KiB  
Article
Influence of the Type and Use of Soil on the Distribution of Organic Carbon and Other Soil Properties in a Sustainable and Resilient Agropolitan System
by Pura Marín-Sanleandro, Ana María Gómez-García, Arantzazu Blanco-Bernardeau, Juana María Gil-Vázquez and María Asunción Alías-Linares
Forests 2023, 14(6), 1085; https://doi.org/10.3390/f14061085 - 24 May 2023
Cited by 2 | Viewed by 974
Abstract
Urban and peri-urban agriculture is one of the strategies that emerged on the path towards agri-food sustainability in cities. This paper aims at improving the knowledge of the soil properties in a peri-urban area and their agricultural potential to support ecosystems with biodiversity [...] Read more.
Urban and peri-urban agriculture is one of the strategies that emerged on the path towards agri-food sustainability in cities. This paper aims at improving the knowledge of the soil properties in a peri-urban area and their agricultural potential to support ecosystems with biodiversity worth conserving. The study area was located in the mid-plain of the Segura River (SE Spain). Arable soil layer samples were collected at 68 points to assess the distribution of organic carbon and to study other indicators of soil quality. A Wilcoxon and Kruskal–Wallis test was conducted to compare between the types of soils present in the area (calcaric Fluvisols and calcaric Regosols) and soil uses (industrial, cultivated and abandoned). Statistical analysis indicates that there are significant differences (at the 0.05 significance level) between Fluvisols and Regosols (p value = 3.65 × 10−5). Regarding use, the abandoned Fluvisols presented an average value of 9.33 g kg−1 of OC while the Fluvisols that are currently cultivated have a higher average content of OC (11.35 g kg−1). For soils under industrial use, the average OC content is 5.13 g kg−1. Spatial distribution of organic carbon in these soils depends on the type of soil and the human influence on them, including the use. Full article
(This article belongs to the Special Issue Models for Soil Organic Matter Estimation on Natural Ecosystems, Agricultural Soils and Urban Soils)
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18 pages, 5070 KiB  
Article
Mapping Forest Cover and Estimating Soil Organic Matter by GIS-Data and an Empirical Model at the Subnational Level in Mexico
by Itzel Arroyo, Víctor Tamaríz-Flores and Rosalía Castelán
Forests 2023, 14(3), 539; https://doi.org/10.3390/f14030539 - 09 Mar 2023
Viewed by 1705
Abstract
Forests play an essential role in climate change as they are the terrestrial ecosystems that store the highest C content in their soils and biomass. Despite this, the lack of information at the subnational level hinders their proper management and conservation. This study [...] Read more.
Forests play an essential role in climate change as they are the terrestrial ecosystems that store the highest C content in their soils and biomass. Despite this, the lack of information at the subnational level hinders their proper management and conservation. This study aimed to identify the extension and distribution of forests and to develop an empirical model for the spatial prediction of soil organic matter (SOM) in Ixtacamaxtitlan, Puebla, Mexico, based on environmental variables generated through Geographical Information Systems. A supervised classification in Landsat 8 images was used to define the forest cover, and environmental variables related to topography, climate and vegetation were generated. Finally, a Multiple Linear Regression model validated with the leave-one-out cross-validation method was used to examine the relationships between the covariates and the SOM and estimate its content in forest. The results show that the forest cover extension is 41%, with an overall accuracy of 97.7%. The model shows a good fit (R2cv = 0.69, RMSEcv = 1.53). The mean of SOM was 5.2%, and upper values were consistent with higher altitude, precipitation and cooler temperature. Estimating SOM content in forest areas is essential in developing planning strategies at the subnational level to mitigate the harmful effects of climate change. Full article
(This article belongs to the Special Issue Models for Soil Organic Matter Estimation on Natural Ecosystems, Agricultural Soils and Urban Soils)
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