Scattered tree death contributes to substantial forest loss in California

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Scattered tree death contributes to substantial forest loss in California. / Cheng, Yan; Oehmcke, Stefan; Brandt, Martin Stefan; Rosenthal, Lisa; Das, Adrian ; Vrieling, Anton; Saatchi, Sassan; Wagner, Fabien; Mugabowindekwe, Maurice; Verbruggen, Wim; Beier, Claus; Horion, Stéphanie.

I: Nature Communications, Bind 15, Nr. 1, 641, 2024, s. 1-13.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Cheng, Y, Oehmcke, S, Brandt, MS, Rosenthal, L, Das, A, Vrieling, A, Saatchi, S, Wagner, F, Mugabowindekwe, M, Verbruggen, W, Beier, C & Horion, S 2024, 'Scattered tree death contributes to substantial forest loss in California', Nature Communications, bind 15, nr. 1, 641, s. 1-13. https://doi.org/10.1038/s41467-024-44991-z

APA

Cheng, Y., Oehmcke, S., Brandt, M. S., Rosenthal, L., Das, A., Vrieling, A., Saatchi, S., Wagner, F., Mugabowindekwe, M., Verbruggen, W., Beier, C., & Horion, S. (2024). Scattered tree death contributes to substantial forest loss in California. Nature Communications, 15(1), 1-13. [641]. https://doi.org/10.1038/s41467-024-44991-z

Vancouver

Cheng Y, Oehmcke S, Brandt MS, Rosenthal L, Das A, Vrieling A o.a. Scattered tree death contributes to substantial forest loss in California. Nature Communications. 2024;15(1):1-13. 641. https://doi.org/10.1038/s41467-024-44991-z

Author

Cheng, Yan ; Oehmcke, Stefan ; Brandt, Martin Stefan ; Rosenthal, Lisa ; Das, Adrian ; Vrieling, Anton ; Saatchi, Sassan ; Wagner, Fabien ; Mugabowindekwe, Maurice ; Verbruggen, Wim ; Beier, Claus ; Horion, Stéphanie. / Scattered tree death contributes to substantial forest loss in California. I: Nature Communications. 2024 ; Bind 15, Nr. 1. s. 1-13.

Bibtex

@article{fcba8eaf84db4a1b94cc5f78283fc562,
title = "Scattered tree death contributes to substantial forest loss in California",
abstract = "In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups ( ≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires.",
keywords = "Faculty of Science, tree mortality, droughts, deep learning, earth observations, climate extremes, carbon, California",
author = "Yan Cheng and Stefan Oehmcke and Brandt, {Martin Stefan} and Lisa Rosenthal and Adrian Das and Anton Vrieling and Sassan Saatchi and Fabien Wagner and Maurice Mugabowindekwe and Wim Verbruggen and Claus Beier and St{\'e}phanie Horion",
note = ".",
year = "2024",
doi = "10.1038/s41467-024-44991-z",
language = "English",
volume = "15",
pages = "1--13",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Scattered tree death contributes to substantial forest loss in California

AU - Cheng, Yan

AU - Oehmcke, Stefan

AU - Brandt, Martin Stefan

AU - Rosenthal, Lisa

AU - Das, Adrian

AU - Vrieling, Anton

AU - Saatchi, Sassan

AU - Wagner, Fabien

AU - Mugabowindekwe, Maurice

AU - Verbruggen, Wim

AU - Beier, Claus

AU - Horion, Stéphanie

N1 - .

PY - 2024

Y1 - 2024

N2 - In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups ( ≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires.

AB - In recent years, large-scale tree mortality events linked to global change have occurred around the world. Current forest monitoring methods are crucial for identifying mortality hotspots, but systematic assessments of isolated or scattered dead trees over large areas are needed to reduce uncertainty on the actual extent of tree mortality. Here, we mapped individual dead trees in California using sub-meter resolution aerial photographs from 2020 and deep learning-based dead tree detection. We identified 91.4 million dead trees over 27.8 million hectares of vegetated areas (16.7-24.7% underestimation bias when compared to field data). Among these, a total of 19.5 million dead trees appeared isolated, and 60% of all dead trees occurred in small groups ( ≤ 3 dead trees within a 30 × 30 m grid), which is largely undetected by other state-level monitoring methods. The widespread mortality of individual trees impacts the carbon budget and sequestration capacity of California forests and can be considered a threat to forest health and a fuel source for future wildfires.

KW - Faculty of Science

KW - tree mortality

KW - droughts

KW - deep learning

KW - earth observations

KW - climate extremes

KW - carbon

KW - California

U2 - 10.1038/s41467-024-44991-z

DO - 10.1038/s41467-024-44991-z

M3 - Journal article

C2 - 38245523

VL - 15

SP - 1

EP - 13

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 641

ER -

ID: 380148533