What is he best known for?
The fields of study he is best known for:
- Ecology
- Ecosystem
- Biodiversity
His primary areas of study are Ecology, Mangrove, Biodiversity, Rhizophora mucronata and Ecosystem.
His study in Vegetation, Wetland, Basal area, Sustainability and Ecosystem services is carried out as part of his studies in Ecology.
His Mangrove study combines topics from a wide range of disciplines, such as Agroforestry and Bay.
Farid Dahdouh-Guebas interconnects Species richness, Fauna and Marine biology in the investigation of issues within Biodiversity.
His Rhizophora mucronata research is multidisciplinary, incorporating elements of Belt transect, Reforestation, Ceriops tagal, Tree density and Sonneratia alba.
The Ecosystem study combines topics in areas such as Biotic component, Mangrove crab, Ocypodidae and Sesarmidae.
His most cited work include:
- A World Without Mangroves (907 citations)
- The magnitude of global marine species diversity (540 citations)
- The magnitude of global marine species diversity (540 citations)
What are the main themes of his work throughout his whole career to date?
Farid Dahdouh-Guebas mainly focuses on Mangrove, Ecology, Agroforestry, Forestry and Ecosystem.
His Mangrove study integrates concerns from other disciplines, such as Propagule, Bay and Vegetation.
His Propagule research includes elements of Biological dispersal and Predation.
His work in Avicennia marina, Ceriops tagal, Rhizophora, Habitat and Ecology is related to Ecology.
Farid Dahdouh-Guebas regularly ties together related areas like Subsistence agriculture in his Agroforestry studies.
His Ecosystem course of study focuses on Environmental resource management and Ecosystem services and Environmental planning.
He most often published in these fields:
- Mangrove (98.98%)
- Ecology (60.58%)
- Agroforestry (19.97%)
What were the highlights of his more recent work (between 2016-2021)?
- Mangrove (98.98%)
- Agroforestry (19.97%)
- Ecology (60.58%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Mangrove, Agroforestry, Ecology, Ecosystem and Environmental planning.
Farid Dahdouh-Guebas is interested in Rhizophora, which is a branch of Mangrove.
His work on Reforestation as part of general Agroforestry study is frequently linked to Sri lanka, therefore connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Reproductive isolation and Introgression.
His study in Ecosystem is interdisciplinary in nature, drawing from both Coastal management, Climate change and Qualitative property.
His studies deal with areas such as Natural resource, Sustainability, Environmental impact assessment and Mangrove management as well as Environmental planning.
Between 2016 and 2021, his most popular works were:
- Managing mangrove forests from the sky: Forest inventory using field data and Unmanned Aerial Vehicle (UAV) imagery in the Matang Mangrove Forest Reserve, peninsular Malaysia (56 citations)
- Managing mangrove forests from the sky: Forest inventory using field data and Unmanned Aerial Vehicle (UAV) imagery in the Matang Mangrove Forest Reserve, peninsular Malaysia (56 citations)
- Have mangrove restoration projects worked? An in‐depth study in Sri Lanka (56 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
His primary scientific interests are in Mangrove, Ecology, Vegetation, Agroforestry and Remote sensing.
His Mangrove study incorporates themes from Biodiversity, Introgression, Ecosystem, Genus and Decapoda.
His Ecology study frequently draws connections to adjacent fields such as Reproductive isolation.
Farid Dahdouh-Guebas interconnects Xylocarpus granatum, Satellite imagery, Bay and Environmental protection in the investigation of issues within Vegetation.
His Agroforestry research integrates issues from Mangrove restoration, Mangrove area, Carbon sequestration, Trampling and Coastal development.
His work deals with themes such as Canopy and Drone, which intersect with Remote sensing.
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