Rupert Seidl

About Rupert Seidl

Rupert Seidl, With an exceptional h-index of 71 and a recent h-index of 63 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Ecosystem Dynamics, Forest Management, Mountain Landscapes.

His recent articles reflect a diverse array of research interests and contributions to the field:

Are uneven-aged forests in Central Europe less affected by natural disturbances than even-aged forests?

A climate-induced tree species bottleneck for forest management in Europe

A harmonized database of European forest simulations under climate change

Resilience and vulnerability: distinct concepts to address global change in forests

Benchmarking remote sensing-based forest recovery indicators for predicting long-term recovery success

Tracking shifts of mountain forest ecotones in aerial imagery with deep learning

Characterizing Spatial Patterns of the Alpine Treeline Ecotone Across the European Alps

Quantifying patch size distributions of forest disturbances in protected areas across the European Alps

Rupert Seidl Information

University

Position

Professor

Citations(all)

21092

Citations(since 2020)

15462

Cited By

10445

hIndex(all)

71

hIndex(since 2020)

63

i10Index(all)

146

i10Index(since 2020)

139

Email

University Profile Page

Google Scholar

Rupert Seidl Skills & Research Interests

Ecosystem Dynamics

Forest Management

Mountain Landscapes

Top articles of Rupert Seidl

Are uneven-aged forests in Central Europe less affected by natural disturbances than even-aged forests?

Forest Ecology and Management

2024/5/1

Dominik Thom
Dominik Thom

H-Index: 15

Rupert Seidl
Rupert Seidl

H-Index: 47

A climate-induced tree species bottleneck for forest management in Europe

Nature Ecology & Evolution

2024/4/29

Resilience and vulnerability: distinct concepts to address global change in forests

2024/3/25

Judit Lecina-Diaz
Judit Lecina-Diaz

H-Index: 3

Rupert Seidl
Rupert Seidl

H-Index: 47

Benchmarking remote sensing-based forest recovery indicators for predicting long-term recovery success

2024/3/7

Tracking shifts of mountain forest ecotones in aerial imagery with deep learning

2024/3/7

Characterizing Spatial Patterns of the Alpine Treeline Ecotone Across the European Alps

2024/3/7

Werner Rammer
Werner Rammer

H-Index: 29

Rupert Seidl
Rupert Seidl

H-Index: 47

Quantifying patch size distributions of forest disturbances in protected areas across the European Alps

Journal of Biogeography

2024/3

Rupert Seidl
Rupert Seidl

H-Index: 47

Cornelius Senf
Cornelius Senf

H-Index: 14

Ecosystem services at risk from disturbance in Europe's forests

Global Change Biology

2024/3

Cornelius Senf
Cornelius Senf

H-Index: 14

Rupert Seidl
Rupert Seidl

H-Index: 47

No generality in biodiversity-productivity relationships along elevation in temperate and subtropical forest landscapes

Forest Ecosystems

2024/1/1

Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness

Global Change Biology

2024/1

The anthropogenic imprint on temperate and boreal forest demography and carbon turnover

Global Ecology and Biogeography

2024/1

Mapping subcanopy light regimes in temperate mountain forests from Airborne Laser Scanning, Sentinel-1 and Sentinel-2

Science of Remote Sensing

2023/12/1

Climate change accelerates ecosystem restoration in the mountain forests of Central Europe

Journal of Applied Ecology

2023/12

Werner Rammer
Werner Rammer

H-Index: 29

Rupert Seidl
Rupert Seidl

H-Index: 47

Novel disturbance regimes and ecological responses

2023/11/2

Rupert Seidl
Rupert Seidl

H-Index: 47

Mapping spatial microclimate patterns in mountain forests from LiDAR

Agricultural and Forest Meteorology

2023/10/15

Forest disturbances increase the body mass of two contrasting ungulates

Journal of Applied Ecology

2023/10

Spaceborne LiDAR for characterizing forest structure across scales in the European Alps

Remote Sensing in Ecology and Conservation

2023/10

Rupert Seidl
Rupert Seidl

H-Index: 47

Cornelius Senf
Cornelius Senf

H-Index: 14

From sink to source: changing climate and disturbance regimes could tip the 21st century carbon balance of an unmanaged mountain forest landscape

Forestry

2023/7

Trends and patterns in post-disturbance forest recovery estimated from Landsat and Sentinel-2 data using regression-based spectral unmixing

EGU General Assembly Conference Abstracts

2023/5

See List of Professors in Rupert Seidl University(Technische Universität München)

Co-Authors

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