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Forschungsanstalt für Waldökologie und Forstwirtschaft | Researchclopedia

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Forschungsanstalt für Waldökologie und Forstwirtschaft

Trippstadtfacility

33

Works

849

Citations

11

h-index

Top Research Topics

Forest Ecology and Biodiversity Studies Mycorrhizal Fungi and Plant Interactions Forest Insect Ecology and Management

Top Researchers

Eugen Müller Forschungsanstalt für Waldökologie und Forstwirtschaft

353 works5,418 citationsh-index: 35

Recent Research

An AI-ready remote sensing dataset for high-resolution forest disturbance mapping

Enmanuel Rodríguez-Paulino,Johannes Stoffels,et al.

20260 citations

Plant Water Relations and Carbon Dynamics

Tree-ring climate responses

Forest ecology and management

Insect-Plant Interactions and Control

Wildlife Ecology and Conservation

Lichen and fungal ecology

Forest Management and Policy

Horticultural and Viticultural Research

Animal Ecology and Behavior Studies

Carmen Collada Universidad Politécnica de Madrid

90 works3,668 citationsh-index: 33

E. Müller Nierenzentrum Heidelberg

130 works2,187 citationsh-index: 23

Ulf Hohmann Forschungsanstalt für Waldökologie und Forstwirtschaft Rheinland-Pfalz

29 works1,359 citationsh-index: 14

K.M. Thomas University School

50 works704 citationsh-index: 11

Hans-Werner Schröck

3 works425 citationsh-index: 3

Deep Learning For Forest Disturbance mapping (Deep4Dist)

Enmanuel Rodríguez-Paulino,Johannes Stoffels,et al.

20260 citations

Combining carbon isotopes with tree ring analysis &#8211; insights into water use efficiency and drought stress&#160;

Philipp Keutner,Mathias Neumann,et al.

20250 citations

Modelling the impact of drought-induced water stress on tree vitality and evapotranspiration&#160;

Paul D. Wagner,Anne‐Kathrin Wendell,et al.

20250 citations

Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of <i>Fraxinus excelsior</i> Tolerance to Ash Dieback in Europe

James Doonan,Katharina B. Budde,et al.

20259 citations

Multiple, single trait GWAS and supervised machine learning reveal the genetic architecture of <i>Fraxinus excelsior</i> tolerance to ash dieback in Europe

James Doonan,Katharina B. Budde,et al.

20234 citations