This dataset is under embargo and will be made available by 12 March 2026 at the latest    Find out more »
        
       Powell, P.A.; Banegas, N.; Russo, M.C.; Aragón, R.; Burslem, D.F.R.P.; Montti, L.
        
        Chemical parameters of soils in subtropical forest plots dominated by native trees and invaded by Ligustrum lucidum, Horco Molle, Tucuman, Argentina, 2023
         https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f
        
       
            Cite this dataset as: 
            
           
          Powell, P.A.; Banegas, N.; Russo, M.C.; Aragón, R.; Burslem, D.F.R.P.; Montti, L. (2024). Chemical parameters of soils in subtropical forest plots dominated by native trees and invaded by Ligustrum lucidum, Horco Molle, Tucuman, Argentina, 2023. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f
             
             
            
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This dataset is under embargo and will be made available by 12 March 2026 at the latest    Find out more »
         
        
          The data resource consists of soil chemical measurements for two aims: 1) to characterise soils of plots where we conducted management experiences to restore secondary forests affected by invasions, and 2) to assess the impacts of tree invasions on the chemical parameters of soils., by comparing native and invaded forest plots. 
All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina.
For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years.
At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH) in the laboratory.
The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage.
         All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina.
For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years.
At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH) in the laboratory.
The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage.
           Publication date: 2024-05-28
          
         
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           View numbers valid from 28 May 2024 (information prior to this was not collected)
           
          Format
Comma-separated values (CSV)
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Tabular (text)
         
        
          Spatial reference system
         
         
          WGS 84
         
        Temporal information
          Temporal extent
         
         2023-01-01    to    2023-12-31
          
         
          Temporal resolution
         
         Provenance & quality
         We conducted field soil sampling during February-March 2023. Within each plot, we sampled at 5 points, separated by 10 meters at least. At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm), using tagged plastic bags for posterior chemical determinations in the laboratory. At the same depths, simple simples of soils were taken to determinate bulk density using a soil core cylinder method, except in the cases with a high proportion of coarse material (stony soils). In these situations, the determination of soil bulk density was based on excavation method. Carbon and nitrogen content in litter and soil were determined by dry combustion (LECO CN 628). Soil extractable P was determined using the Bray and Kurtz I method. Cation exchange capacity and Ca, Mg, Na and K were extracted using the ammonium acetate pH 7 method. Soil pH was measured in distilled water . 
Data were recorded onto laboratory sheets, transferred into spreadsheets and exported as comma separated value (CSV) files for deposit into the EIDC.
       Data were recorded onto laboratory sheets, transferred into spreadsheets and exported as comma separated value (CSV) files for deposit into the EIDC.
Licensing and constraints
This dataset is under embargo and will be made available by 12 March 2026 at the latest    Find out more »
        
         This dataset will be available under the terms of the Open Government Licence  
 
         Cite this dataset as: 
         
       Powell, P.A.; Banegas, N.; Russo, M.C.; Aragón, R.; Burslem, D.F.R.P.; Montti, L. (2024). Chemical parameters of soils in subtropical forest plots dominated by native trees and invaded by Ligustrum lucidum, Horco Molle, Tucuman, Argentina, 2023. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f
          
          
         
        Related
This dataset is included in the following collections
Supplemental information
          Red Argentina de Parcelas Permanentes de Bosques Nativos para promover colaboraciones científicas en estudios de largo plazo.
         
         
        Correspondence/contact details
          Powell, P.A.
         
         
          Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET)
         
         
          ARGENTINA
         
  priscilaapowell@gmail.com
        Authors
          Powell, P.A.
         
         
          Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET)
         
         
        
          Banegas, N.
         
         
          Instituto de Investigación Animal del Chaco Semiárido (INTA)
         
        
          Russo, M.C.
         
         
          Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET), Argentina
         
        
          Aragón, R.
         
         
          Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET)
         
         
        
          Montti, L.
         
         
          Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)
         
         
        Other contacts
          Rights holder
         
         
           Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET)
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          Additional metadata
          Keywords
         
         
        
          Funding
         
          Natural Environment Research Council  
GCBC
Department for Environment Food and Rural Affairs
        GCBC
Department for Environment Food and Rural Affairs
 
      
 https://orcid.org/0000-0003-3911-0912
 https://orcid.org/0000-0003-3911-0912