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Title: Soil carbon fractions and biological activity based indices can be used to study the impact of land management and ecological successions

Abstract

Soil organic carbon (SOC) is a strong indicator of soil health. Development of efficient soil quality indicators is crucial to better understand the impact of land management strategies on the recovery of degraded ecosystems. We hypothesized that SOC fractions and biological attributes can compose strong soil quality indicators to assess an ecosystem recovery following disturbance. Thus, the objective of this study was to evaluate the use of soil biological activity and SOC fractions to study the impact of different land use systems and ecological successions in ecosystem recovery. We selected six land use systems: tobacco (Nicotiana tabacum) cultivation; pastureland; reforested land with Eucalyptus sp.; and natural ecological successions with 10, 20 and 35 years of vegetation regeneration, respectively. We collected disturbed and undisturbed soil samples in triplicate at 0–5, 5–10, 10–20 and 20–40 cm depth intervals. Several fractionation approaches were used to determine SOC pools: hot water extractable organic carbon, permanganate oxidized organic carbon, particulate organic carbon, mineral associated organic carbon and total SOC. The activity of the enzyme arylsulfatase was used to represent soil biological attributes. We calculated three indices to represent the soil quality: carbon management index, soil resilience index and biological activity index. Our results suggest thatmore » the SOC fractions and the enzyme activity followed the increase of vegetation complexity of the ecological succession stages. The labile SOC pool, in addition to enzyme activity, was the most sensitive variable to assess land use changes. The biomass-C input was considered to be the main reason of SOC increase, and the gains of labile SOC fractions were directly related to the increase of SOC stocks. Both, biological and carbon management indices were efficient tools to characterize the impact of studied management systems. Also, we found that assessment of deeper soil layers (20–40 cm) was extremely important as incomplete inferences might be reached while evaluating only surface soil layers (0–20 cm). Here, we conclude that the carbon management and biological indices captured the stage of soil degradation and the influence of vegetation diversity in the soil resilience restoration, providing an advance in monitoring strategies that can be reproducible in any environment.« less

Authors:
 [1];  [1];  [1];  [2];  [3];  [1];  [1];  [1];  [4];  [1]
  1. State Univ. of Ponta Grossa, Ponta Grossa, PR (Brazil)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Technical Univ. of Munich, Bayern (Germany)
  4. EMBRAPA instrumentacao agropecuaria, Sao Carlos, SP (Brazil)
Publication Date:
Research Org.:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1389617
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Ecological Indicators
Additional Journal Information:
Journal Volume: 84; Journal Issue: C; Journal ID: ISSN 1470-160X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Biodiversity; Carbon storage; Enzyme activity; Land use change; SOC pools

Citation Formats

de Moraes Sa, Joao Carlos, Potma Goncalves, Daniel Ruiz, Ferreira, Lucimara Aparecida, Mishra, Umakant, Inagaki, Thiago Massao, Ferreira Furlan, Flavia Juliana, Moro, Rosemeri Segecin, Floriani, Nicolas, Briedis, Clever, and de Oliveira Ferreira, Ademir. Soil carbon fractions and biological activity based indices can be used to study the impact of land management and ecological successions. United States: N. p., 2017. Web. doi:10.1016/j.ecolind.2017.08.029.
de Moraes Sa, Joao Carlos, Potma Goncalves, Daniel Ruiz, Ferreira, Lucimara Aparecida, Mishra, Umakant, Inagaki, Thiago Massao, Ferreira Furlan, Flavia Juliana, Moro, Rosemeri Segecin, Floriani, Nicolas, Briedis, Clever, & de Oliveira Ferreira, Ademir. Soil carbon fractions and biological activity based indices can be used to study the impact of land management and ecological successions. United States. https://doi.org/10.1016/j.ecolind.2017.08.029
de Moraes Sa, Joao Carlos, Potma Goncalves, Daniel Ruiz, Ferreira, Lucimara Aparecida, Mishra, Umakant, Inagaki, Thiago Massao, Ferreira Furlan, Flavia Juliana, Moro, Rosemeri Segecin, Floriani, Nicolas, Briedis, Clever, and de Oliveira Ferreira, Ademir. Thu . "Soil carbon fractions and biological activity based indices can be used to study the impact of land management and ecological successions". United States. https://doi.org/10.1016/j.ecolind.2017.08.029. https://www.osti.gov/servlets/purl/1389617.
@article{osti_1389617,
title = {Soil carbon fractions and biological activity based indices can be used to study the impact of land management and ecological successions},
author = {de Moraes Sa, Joao Carlos and Potma Goncalves, Daniel Ruiz and Ferreira, Lucimara Aparecida and Mishra, Umakant and Inagaki, Thiago Massao and Ferreira Furlan, Flavia Juliana and Moro, Rosemeri Segecin and Floriani, Nicolas and Briedis, Clever and de Oliveira Ferreira, Ademir},
abstractNote = {Soil organic carbon (SOC) is a strong indicator of soil health. Development of efficient soil quality indicators is crucial to better understand the impact of land management strategies on the recovery of degraded ecosystems. We hypothesized that SOC fractions and biological attributes can compose strong soil quality indicators to assess an ecosystem recovery following disturbance. Thus, the objective of this study was to evaluate the use of soil biological activity and SOC fractions to study the impact of different land use systems and ecological successions in ecosystem recovery. We selected six land use systems: tobacco (Nicotiana tabacum) cultivation; pastureland; reforested land with Eucalyptus sp.; and natural ecological successions with 10, 20 and 35 years of vegetation regeneration, respectively. We collected disturbed and undisturbed soil samples in triplicate at 0–5, 5–10, 10–20 and 20–40 cm depth intervals. Several fractionation approaches were used to determine SOC pools: hot water extractable organic carbon, permanganate oxidized organic carbon, particulate organic carbon, mineral associated organic carbon and total SOC. The activity of the enzyme arylsulfatase was used to represent soil biological attributes. We calculated three indices to represent the soil quality: carbon management index, soil resilience index and biological activity index. Our results suggest that the SOC fractions and the enzyme activity followed the increase of vegetation complexity of the ecological succession stages. The labile SOC pool, in addition to enzyme activity, was the most sensitive variable to assess land use changes. The biomass-C input was considered to be the main reason of SOC increase, and the gains of labile SOC fractions were directly related to the increase of SOC stocks. Both, biological and carbon management indices were efficient tools to characterize the impact of studied management systems. Also, we found that assessment of deeper soil layers (20–40 cm) was extremely important as incomplete inferences might be reached while evaluating only surface soil layers (0–20 cm). Here, we conclude that the carbon management and biological indices captured the stage of soil degradation and the influence of vegetation diversity in the soil resilience restoration, providing an advance in monitoring strategies that can be reproducible in any environment.},
doi = {10.1016/j.ecolind.2017.08.029},
journal = {Ecological Indicators},
number = C,
volume = 84,
place = {United States},
year = {Thu Aug 31 00:00:00 EDT 2017},
month = {Thu Aug 31 00:00:00 EDT 2017}
}

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Assessing soil quality indices based on soil organic carbon fractions in different long‐term wheat systems under semiarid conditions
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