What does this research mean for the field?

Forests across the Canary Islands store an estimated 10.26 Tg of carbon, with mature laurel forests exhibiting exceptionally high carbon densities that approach primary tropical forest levels, driven primarily by structural stand attributes and moisture availability. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to create a high-resolution carbon stock map for the Canary Islands using advanced data integration methods.

July 29, 2026Carbon Balance and ManagementOpen Access

Modelling forest carbon stocks on the Canary Islands

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Authors

RORüdiger Otto JGJuan José García‐Alvarado ERElena Rocafull

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Overview

Randomized trial models forest carbon density across 18 forest types in the Canary Islands, highlighting key factors affecting carbon storage.

Key Points

This research aims to create a high-resolution carbon stock map for the Canary Islands using advanced data integration methods.
Combined structural field data with airborne laser scanning and Sentinel-2 satellite data.
Modeled carbon density using machine learning approaches including Boosted Regression Tree and Random Forest models.
Analyzed 18 different forest types across the Canary Islands.
Forests in the Canary Islands store approximately 10.26 Tg of carbon, with Canarian pine forests holding 57% of this carbon pool.
Humid laurel forests exhibited average carbon densities of 413.2 ± 149.5 Mg C ha⁻¹, nearing levels found in primary tropical forests.
Carbon density variation was primarily linked to tree canopy cover, volume, and moisture availability.

Cite This Study

Otto et al. (2026) studied this question.

synapsesocial.com/papers/6a69a25ec8da07d9defa5a71 https://doi.org/10.1186/s13021-026-00488-4

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July 29, 2026Carbon Balance and ManagementOpen Access

Modelling forest carbon stocks on the Canary Islands

View Full Paper

Ask AI

Bookmark

Authors

RORüdiger Otto JGJuan José García‐Alvarado ERElena Rocafull

Discussion

Member takes

Overview

Randomized trial models forest carbon density across 18 forest types in the Canary Islands, highlighting key factors affecting carbon storage.

Key Points

This research aims to create a high-resolution carbon stock map for the Canary Islands using advanced data integration methods.
Combined structural field data with airborne laser scanning and Sentinel-2 satellite data.
Modeled carbon density using machine learning approaches including Boosted Regression Tree and Random Forest models.
Analyzed 18 different forest types across the Canary Islands.
Forests in the Canary Islands store approximately 10.26 Tg of carbon, with Canarian pine forests holding 57% of this carbon pool.
Humid laurel forests exhibited average carbon densities of 413.2 ± 149.5 Mg C ha⁻¹, nearing levels found in primary tropical forests.
Carbon density variation was primarily linked to tree canopy cover, volume, and moisture availability.

Cite This Study

Otto et al. (2026) studied this question.

synapsesocial.com/papers/6a69a25ec8da07d9defa5a71 https://doi.org/10.1186/s13021-026-00488-4

View Full Paper

Ask AI

Bookmark