Forest Ecosystems

Open access

ISSN: 2197-5620

CN: 10-1166/S

p-ISSN: 2095-6355

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Forest Ecosystems

Open access

Executive Editors-in-Chief

John A. Kershaw

Osbert Jianxin Sun

Editorial Board

The contents of Volumes 1-8 of Forest Ecosystems published with Springer can be found here.(https://forestecosyst.springeropen.com/)Forest Ecosystems is an open access, peer-reviewed journal publishin...

The contents of Volumes 1-8 of Forest Ecosystems published with Springer can be found here.(https://forestecosyst.springeropen.com/)

Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application-oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.

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Society affiliation

Drawing on its solid foundation in biology and ecology, Beijing Forestry University (BFU) is a national key university that, in addition to stressing on the balanced and coordinated development of programs in agronomy, science, engineering, management, economy, law, philosophy, education as well as arts, prides itself particularly on its distinctive disciplines such as forestry, ecology and nature conservation, landscape architecture, forestry engineering, grass science, and agro-economic management.

The university has consistently adhered to a vision that celebrates on "Championship in Earth Stewardship, Leadership in Forestry Education" and taken as its mandatory mission to "adorn a picturesque touch to the mountains, the rivers and the entire terrestrial landscape of the country so as to turn the motherland into a lovely painting created by nature". Over the 70-old years since the establishment of BFU, more than 200,000 domestic and foreign graduates have emerged from the university to become high-level forestry and ecology professionals that contribute significantly to China's ecological progresses, thriving forestry sector and note-worthy social-economic growth.

For detailed information please visit http://www.bjfu.edu.cn/.

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Grouping tree species to estimate basal area increment in temperate multispecies forests in Durango, Mexico

Jaime Roberto Padilla-Martínez | Carola Paul | Kai Husmann | José Javier Corral-Rivas | Klaus von Gadow

Old-growth mixed dipterocarp forests show variable losses and gains in aboveground biomass and standing carbon over forty years

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications

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Most Downloaded Articles

1. Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications

2. No treeline shift despite climate change over the last 70 years

3. Grouping tree species to estimate basal area increment in temperate multispecies forests in Durango, Mexico

Jaime Roberto Padilla-Martínez | Carola Paul | Kai Husmann | José Javier Corral-Rivas | Klaus von Gadow

View all ScienceDirect

Most Cited Articles

Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China

Yuwen Peng | Huiyi Su | Min Sun | Mingshi Li

The interaction between temperature and precipitation on the potential distribution range of Betula ermanii in the alpine treeline ecotone on the Changbai Mountain

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Call for papers

3D remote sensing for forests – progress and perspective

Submission deadline: 31 October 2022

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Forest Ecosystems

Forest Ecosystems

Executive Editors-in-Chief

Society affiliation

Grouping tree species to estimate basal area increment in temperate multispecies forests in Durango, Mexico

Old-growth mixed dipterocarp forests show variable losses and gains in aboveground biomass and standing carbon over forty years

Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications

1. Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time – and how this affects applications

2. No treeline shift despite climate change over the last 70 years

3. Grouping tree species to estimate basal area increment in temperate multispecies forests in Durango, Mexico

Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China

The interaction between temperature and precipitation on the potential distribution range of Betula ermanii in the alpine treeline ecotone on the Changbai Mountain

Call for papers

3D remote sensing for forests – progress and perspective

News

Can savanna emerge in the cold high latitudes and altitudes due to ongoing rapid warming?

Gratitude to Reviewers for their Contributions to Forest Ecosystems in 2023

27 members of our editorial board were selected as World’s Top 2% Scientists 2023!

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