Soil data for mapping paludification in black spruce forests of eastern Canada

Soil data and soil mapping are indispensable tools in sustainable forest management. In northern boreal ecosystems, paludification is defined as the accumulation of partially decomposed organic matter over saturated mineral soils, a process that reduces tree regeneration and forest growth. Given thi...

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Main Authors: Nicolas Mansuy, Osvaldo Valeria, Ahmed Laamrani, Nicole Fenton, Luc Guindon, Yves Bergeron, André Beaudoin, Sonia Légaré, Mohammed Henneb
Format: Article
Language:English
Published: Elsevier 2018-12-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918315245
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author Nicolas Mansuy
Osvaldo Valeria
Ahmed Laamrani
Nicole Fenton
Luc Guindon
Yves Bergeron
André Beaudoin
Sonia Légaré
Mohammed Henneb
author_facet Nicolas Mansuy
Osvaldo Valeria
Ahmed Laamrani
Nicole Fenton
Luc Guindon
Yves Bergeron
André Beaudoin
Sonia Légaré
Mohammed Henneb
author_sort Nicolas Mansuy
collection DOAJ
description Soil data and soil mapping are indispensable tools in sustainable forest management. In northern boreal ecosystems, paludification is defined as the accumulation of partially decomposed organic matter over saturated mineral soils, a process that reduces tree regeneration and forest growth. Given this negative effect on forest productivity, spatial prediction of paludification in black spruce stands is important in forest management. This paper provides a description of the soil database to predict organic layer thickness (OLT) as a proxy of paludification in northeastern Canada. The database contains 13,944 OLT measurements (in cm) and their respective GPS coordinates. We collected OLT measurements from georeferenced ground plots and transects from several previous projects. Despite the variety of sources, the sampling design for each dataset was similar, consisting of manual measurements of OLT with a hand probe. OLT measurements were variable across the study area, with a mean ± standard deviation of 21 ± 24 cm (ranging from a minimum of 0 cm to a maximum of 150 cm), and the distribution tended toward positive skewing, with a large number of low OLT values and fewer high OLT values. The dataset has been used to perform OLT mapping at 30-m resolution and predict the risk of paludification in northeastern Canada (Mansuy et al., 2018) [1]. The spatially explicit and continuous database is also available to support national and international efforts in digital soil mapping.
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spelling doaj.art-1f3a4ebc072145ff924fa462abf7dbdf2022-12-21T23:21:38ZengElsevierData in Brief2352-34092018-12-012126162621Soil data for mapping paludification in black spruce forests of eastern CanadaNicolas Mansuy0Osvaldo Valeria1Ahmed Laamrani2Nicole Fenton3Luc Guindon4Yves Bergeron5André Beaudoin6Sonia Légaré7Mohammed Henneb8Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, 5320 122 St., Edmonton, Alberta, Canada T6H 3S5; Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4; Corresponding author at: Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, 5320 122 St., Edmonton, Alberta, Canada T6H 3S5.Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, 1055 du P.E.P.S., P.O. Box 10380, Stn. Sainte-Foy, Québec, Québec, Canada G1V 4C7Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, 1055 du P.E.P.S., P.O. Box 10380, Stn. Sainte-Foy, Québec, Québec, Canada G1V 4C7Ministère des Forêts, de la Faune et des Parcs, Direction de la gestion des forêts du Nord-du-Québec 645, 1re rue Est, La Sarre, Québec, Canada J9Z 3P3Institut de recherche sur les forêts, Université du Québec en Abitibi-Témiscamingue, 445 boul. de l’Université, Rouyn-Noranda, Québec, Canada J9X 5E4Soil data and soil mapping are indispensable tools in sustainable forest management. In northern boreal ecosystems, paludification is defined as the accumulation of partially decomposed organic matter over saturated mineral soils, a process that reduces tree regeneration and forest growth. Given this negative effect on forest productivity, spatial prediction of paludification in black spruce stands is important in forest management. This paper provides a description of the soil database to predict organic layer thickness (OLT) as a proxy of paludification in northeastern Canada. The database contains 13,944 OLT measurements (in cm) and their respective GPS coordinates. We collected OLT measurements from georeferenced ground plots and transects from several previous projects. Despite the variety of sources, the sampling design for each dataset was similar, consisting of manual measurements of OLT with a hand probe. OLT measurements were variable across the study area, with a mean ± standard deviation of 21 ± 24 cm (ranging from a minimum of 0 cm to a maximum of 150 cm), and the distribution tended toward positive skewing, with a large number of low OLT values and fewer high OLT values. The dataset has been used to perform OLT mapping at 30-m resolution and predict the risk of paludification in northeastern Canada (Mansuy et al., 2018) [1]. The spatially explicit and continuous database is also available to support national and international efforts in digital soil mapping.http://www.sciencedirect.com/science/article/pii/S2352340918315245
spellingShingle Nicolas Mansuy
Osvaldo Valeria
Ahmed Laamrani
Nicole Fenton
Luc Guindon
Yves Bergeron
André Beaudoin
Sonia Légaré
Mohammed Henneb
Soil data for mapping paludification in black spruce forests of eastern Canada
Data in Brief
title Soil data for mapping paludification in black spruce forests of eastern Canada
title_full Soil data for mapping paludification in black spruce forests of eastern Canada
title_fullStr Soil data for mapping paludification in black spruce forests of eastern Canada
title_full_unstemmed Soil data for mapping paludification in black spruce forests of eastern Canada
title_short Soil data for mapping paludification in black spruce forests of eastern Canada
title_sort soil data for mapping paludification in black spruce forests of eastern canada
url http://www.sciencedirect.com/science/article/pii/S2352340918315245
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