A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories

Abstract This article presents the first published peatland map for Costa Rica. A probabilistic approach using vegetation, ecosystem, and soil datasets was used to predict the distribution and extent of peatlands found below 700 m in elevation. High-elevation sites found in the Talamanca Mountains w...

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Main Authors: Emily Rabel, Julie Loisel, Alex Barthelmes, Cristina Malpica-Piñeros, Cosima Tegetmeyer, Jacklyn Rivera Wong, Laura Villegas-Mejia
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-03126-0
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author Emily Rabel
Julie Loisel
Alex Barthelmes
Cristina Malpica-Piñeros
Cosima Tegetmeyer
Jacklyn Rivera Wong
Laura Villegas-Mejia
author_facet Emily Rabel
Julie Loisel
Alex Barthelmes
Cristina Malpica-Piñeros
Cosima Tegetmeyer
Jacklyn Rivera Wong
Laura Villegas-Mejia
author_sort Emily Rabel
collection DOAJ
description Abstract This article presents the first published peatland map for Costa Rica. A probabilistic approach using vegetation, ecosystem, and soil datasets was used to predict the distribution and extent of peatlands found below 700 m in elevation. High-elevation sites found in the Talamanca Mountains were manually identified using satellite imagery; those peatlands are small in size (< 0.05 km2). Our analysis produced an estimated low-elevation peatland extent of 1433 km2 and a high-elevation peatland extent of 23.08 km2, yielding an estimated total extent of 1456 km2 for Costa Rica. This figure falls close to the middle of previously published extent estimates for this country, which vary widely (577–2670 km2). An agreement analysis between previously published maps and this new product is also presented. Plotting the peatland area of Costa Rica in a climate space (mean annual precipitation vs. precipitation seasonality) highlights key climatic differences between our peatland types/regions, hinting at broad-scale effects of climate-landscape interactions. As for the probability map therein, we stress that its accuracy is limited by data availability and quality, as well as ground-referencing information. Still, the new product can provide guidance for land management, policymaking, and future science endeavors.
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spelling doaj-art-6c975c63865b49bdae1dab974a726fb82025-08-20T02:34:06ZengNature PortfolioScientific Reports2045-23222025-05-0115111110.1038/s41598-025-03126-0A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventoriesEmily Rabel0Julie Loisel1Alex Barthelmes2Cristina Malpica-Piñeros3Cosima Tegetmeyer4Jacklyn Rivera Wong5Laura Villegas-Mejia6Department of Geography, Texas A&M UniversityDepartment of Geography, Texas A&M UniversityGreifswald Mire Center, University of GreifswaldGreifswald Mire Center, University of GreifswaldGreifswald Mire Center, University of GreifswaldMinisterio de Ambiente y Energia, Gobierno de Costa RicaFood and Agriculture Organization of the United NationsAbstract This article presents the first published peatland map for Costa Rica. A probabilistic approach using vegetation, ecosystem, and soil datasets was used to predict the distribution and extent of peatlands found below 700 m in elevation. High-elevation sites found in the Talamanca Mountains were manually identified using satellite imagery; those peatlands are small in size (< 0.05 km2). Our analysis produced an estimated low-elevation peatland extent of 1433 km2 and a high-elevation peatland extent of 23.08 km2, yielding an estimated total extent of 1456 km2 for Costa Rica. This figure falls close to the middle of previously published extent estimates for this country, which vary widely (577–2670 km2). An agreement analysis between previously published maps and this new product is also presented. Plotting the peatland area of Costa Rica in a climate space (mean annual precipitation vs. precipitation seasonality) highlights key climatic differences between our peatland types/regions, hinting at broad-scale effects of climate-landscape interactions. As for the probability map therein, we stress that its accuracy is limited by data availability and quality, as well as ground-referencing information. Still, the new product can provide guidance for land management, policymaking, and future science endeavors.https://doi.org/10.1038/s41598-025-03126-0PeatlandsMappingClimateWetlandsCosta Rica
spellingShingle Emily Rabel
Julie Loisel
Alex Barthelmes
Cristina Malpica-Piñeros
Cosima Tegetmeyer
Jacklyn Rivera Wong
Laura Villegas-Mejia
A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
Scientific Reports
Peatlands
Mapping
Climate
Wetlands
Costa Rica
title A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
title_full A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
title_fullStr A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
title_full_unstemmed A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
title_short A probabilistic map of Costa Rican peatlands based on vegetation, ecosystem, and soil inventories
title_sort probabilistic map of costa rican peatlands based on vegetation ecosystem and soil inventories
topic Peatlands
Mapping
Climate
Wetlands
Costa Rica
url https://doi.org/10.1038/s41598-025-03126-0
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