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Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem

BACKGROUND: Terrestrial ecosystems play a significant role in carbon (C) storage. Human activities, such as urbanization, infrastructure, and land use change, can reduce significantly the C stored in the soil. The aim of this research was to measure the spatial variability of soil organic C (SOC) in...

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Autores principales: Fusaro, Carmine, Sarria-Guzmán, Yohanna, Chávez-Romero, Yosef A., Luna-Guido, Marco, Muñoz-Arenas, Ligia C., Dendooven, Luc, Estrada-Torres, Arturo, Navarro-Noya, Yendi E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858984/
https://www.ncbi.nlm.nih.gov/pubmed/31741782
http://dx.doi.org/10.7717/peerj.7897
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author Fusaro, Carmine
Sarria-Guzmán, Yohanna
Chávez-Romero, Yosef A.
Luna-Guido, Marco
Muñoz-Arenas, Ligia C.
Dendooven, Luc
Estrada-Torres, Arturo
Navarro-Noya, Yendi E.
author_facet Fusaro, Carmine
Sarria-Guzmán, Yohanna
Chávez-Romero, Yosef A.
Luna-Guido, Marco
Muñoz-Arenas, Ligia C.
Dendooven, Luc
Estrada-Torres, Arturo
Navarro-Noya, Yendi E.
author_sort Fusaro, Carmine
collection PubMed
description BACKGROUND: Terrestrial ecosystems play a significant role in carbon (C) storage. Human activities, such as urbanization, infrastructure, and land use change, can reduce significantly the C stored in the soil. The aim of this research was to measure the spatial variability of soil organic C (SOC) in the national park La Malinche (NPLM) in the central highlands of Mexico as an example of highland ecosystems and to determine the impact of land use change on the SOC stocks through deterministic and geostatistical geographic information system (GIS) based methods. METHODS: The soil was collected from different landscapes, that is, pine, fir, oak and mixed forests, natural grassland, moor and arable land, and organic C content determined. Different GIS-based deterministic (inverse distance weighting, local polynomial interpolation and radial basis function) and geostatistical interpolation techniques (ordinary kriging, cokriging and empirical Bayes kriging) were used to map the SOC stocks and other environmental variables of the top soil layer. RESULTS: All interpolation GIS-based methods described the spatial distribution of SOC of the NPLM satisfactorily. The total SOC stock of the NPLM was 2.45 Tg C with 85.3% in the forest (1.26 Tg C in the A horizon and 0.83 Tg C in the O horizon), 11.4% in the arable soil (0.23 Tg in the A horizon and only 0.05 Tg C in the O horizon) and 3.3% in the high moor (0.07 Tg C in the A horizon and <0.01 Tg C in the O horizon). The estimated total SOC stock in a preserved part of the forest in NPLM was 4.98 Tg C in 1938 and has nearly halved since then. Continuing this trend of converting all the remaining forest to arable land will decrease the total SOC stock to 0.52 Tg C. DISCUSSION: Different factors explain the large variations in SOC stocks found in this study but the change in land use (conversion of forests into agricultural lands) was the major reason for the reduction of the SOC stocks in the high mountain ecosystem of the NPLM. Large amounts of C, however, could be stored potentially in this ecosystem if the area was used more sustainable. The information derived from this study could be used to recommend strategies to reverse the SOC loss in NPLM and other high-altitude temperate forests and sequester larger quantities of C. This research can serve as a reference for the analysis of SOC distribution in similar mountain ecosystems in central part of Mexico and in other parts of the world.
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spelling pubmed-68589842019-11-18 Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem Fusaro, Carmine Sarria-Guzmán, Yohanna Chávez-Romero, Yosef A. Luna-Guido, Marco Muñoz-Arenas, Ligia C. Dendooven, Luc Estrada-Torres, Arturo Navarro-Noya, Yendi E. PeerJ Ecosystem Science BACKGROUND: Terrestrial ecosystems play a significant role in carbon (C) storage. Human activities, such as urbanization, infrastructure, and land use change, can reduce significantly the C stored in the soil. The aim of this research was to measure the spatial variability of soil organic C (SOC) in the national park La Malinche (NPLM) in the central highlands of Mexico as an example of highland ecosystems and to determine the impact of land use change on the SOC stocks through deterministic and geostatistical geographic information system (GIS) based methods. METHODS: The soil was collected from different landscapes, that is, pine, fir, oak and mixed forests, natural grassland, moor and arable land, and organic C content determined. Different GIS-based deterministic (inverse distance weighting, local polynomial interpolation and radial basis function) and geostatistical interpolation techniques (ordinary kriging, cokriging and empirical Bayes kriging) were used to map the SOC stocks and other environmental variables of the top soil layer. RESULTS: All interpolation GIS-based methods described the spatial distribution of SOC of the NPLM satisfactorily. The total SOC stock of the NPLM was 2.45 Tg C with 85.3% in the forest (1.26 Tg C in the A horizon and 0.83 Tg C in the O horizon), 11.4% in the arable soil (0.23 Tg in the A horizon and only 0.05 Tg C in the O horizon) and 3.3% in the high moor (0.07 Tg C in the A horizon and <0.01 Tg C in the O horizon). The estimated total SOC stock in a preserved part of the forest in NPLM was 4.98 Tg C in 1938 and has nearly halved since then. Continuing this trend of converting all the remaining forest to arable land will decrease the total SOC stock to 0.52 Tg C. DISCUSSION: Different factors explain the large variations in SOC stocks found in this study but the change in land use (conversion of forests into agricultural lands) was the major reason for the reduction of the SOC stocks in the high mountain ecosystem of the NPLM. Large amounts of C, however, could be stored potentially in this ecosystem if the area was used more sustainable. The information derived from this study could be used to recommend strategies to reverse the SOC loss in NPLM and other high-altitude temperate forests and sequester larger quantities of C. This research can serve as a reference for the analysis of SOC distribution in similar mountain ecosystems in central part of Mexico and in other parts of the world. PeerJ Inc. 2019-11-14 /pmc/articles/PMC6858984/ /pubmed/31741782 http://dx.doi.org/10.7717/peerj.7897 Text en © 2019 Fusaro et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Ecosystem Science
Fusaro, Carmine
Sarria-Guzmán, Yohanna
Chávez-Romero, Yosef A.
Luna-Guido, Marco
Muñoz-Arenas, Ligia C.
Dendooven, Luc
Estrada-Torres, Arturo
Navarro-Noya, Yendi E.
Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title_full Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title_fullStr Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title_full_unstemmed Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title_short Land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
title_sort land use is the main driver of soil organic carbon spatial distribution in a high mountain ecosystem
topic Ecosystem Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858984/
https://www.ncbi.nlm.nih.gov/pubmed/31741782
http://dx.doi.org/10.7717/peerj.7897
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