Monitoring ecosystem functions in mountain catchments of chilean patagonia: A cluster-based dataset

This dataset documents the spatially explicit quantification of multiple ecosystem functions across 12 mountain headwater catchments in the Aysén Region of Chilean Patagonia. Designed to capture landscape variability, the observational framework employs a paired-catchment approach, comparing basins with different degrees of anthropogenic disturbance across two forest types: deciduous and evergreen. Each catchment is treated as an integrated landscape unit, with cluster-based field measurements capturing fine-scale variation in vegetation structure, biomass, soil conditions, and species richness. The field inventory integrates and adapts methodologies from several national and international forest monitoring frameworks. Its core structure is based on Chile's Continuous National Forest Inventory, but also incorporates sampling concepts and measurement protocols inspired by the Swiss National Forest Inventory (LFI), the U.S. Forest Inventory and Analysis (FIA) program, and long-term ecological monitoring plots used in New Zealand. This hybrid design ensures multidimensional assessment of ecosystem functions while enhancing cross-regional comparability. The sampling design addresses ecosystem functions across four service categories: provisioning (sawlog and firewood volume), regulating (carbon stocks in trees, shrubs, and deadwood, and decadal sequestration rates), supporting (soil formation and erosion proxies, plus nutrient concentrations), and biodiversity maintenance (vascular plant and epiphyte). This dataset supports ecological synthesis, spatial modeling, and integration into broader assessments of ecosystem services and land-use impacts under changing environmental conditions.

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Publication Details

Journal
Data in Brief
Published
2026-01-22
DOI
https://doi.org/10.1016/j.dib.2026.112481
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
31.91
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article

Monitoring ecosystem functions in mountain catchments of chilean patagonia: A cluster-based dataset

Paulo Moreno-Meynard
1 citations
Data in Brief
Remote Sensing in Agriculture
31.91
article

Monitoring ecosystem functions in mountain catchments of chilean patagonia: A cluster-based dataset

Paulo Moreno-Meynard
article en
1 citations

Abstract

This dataset documents the spatially explicit quantification of multiple ecosystem functions across 12 mountain headwater catchments in the Aysén Region of Chilean Patagonia. Designed to capture landscape variability, the observational framework employs a paired-catchment approach, comparing basins with different degrees of anthropogenic disturbance across two forest types: deciduous and evergreen. Each catchment is treated as an integrated landscape unit, with cluster-based field measurements capturing fine-scale variation in vegetation structure, biomass, soil conditions, and species richness. The field inventory integrates and adapts methodologies from several national and international forest monitoring frameworks. Its core structure is based on Chile's Continuous National Forest Inventory, but also incorporates sampling concepts and measurement protocols inspired by the Swiss National Forest Inventory (LFI), the U.S. Forest Inventory and Analysis (FIA) program, and long-term ecological monitoring plots used in New Zealand. This hybrid design ensures multidimensional assessment of ecosystem functions while enhancing cross-regional comparability. The sampling design addresses ecosystem functions across four service categories: provisioning (sawlog and firewood volume), regulating (carbon stocks in trees, shrubs, and deadwood, and decadal sequestration rates), supporting (soil formation and erosion proxies, plus nutrient concentrations), and biodiversity maintenance (vascular plant and epiphyte). This dataset supports ecological synthesis, spatial modeling, and integration into broader assessments of ecosystem services and land-use impacts under changing environmental conditions.

Data in BriefVol. 65
Patagonian Ecosystems Investigation Research Center (CL)
Life in Land
Openalex Percentile: Top 1%
Remote Sensing in Agriculture
31.91
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