What is she best known for?
The fields of study she is best known for:
- Ecology
- Ecosystem
- Biodiversity
Susan G. Laurance mainly focuses on Ecology, Rainforest, Amazon rainforest, Ecosystem and Biomass.
Her work in Habitat fragmentation, Biodiversity, Species richness, Liana and Tropical climate is related to Ecology.
Her work deals with themes such as Fragmentation and Forest dynamics, which intersect with Habitat fragmentation.
Susan G. Laurance has included themes like Tropical forest, Old-growth forest, Agroforestry and Anthropogenic factor in her Rainforest study.
The study incorporates disciplines such as Amazonian forest, Environmental protection, Tropical rain forest, Tropics and Predation in addition to Ecosystem.
In her study, Hectare and Forestry is inextricably linked to Amazonian, which falls within the broad field of Habitat.
Her most cited work include:
- Ecosystem Decay of Amazonian Forest Fragments: a 22-Year Investigation (1344 citations)
- Ecosystem Decay of Amazonian Forest Fragments: a 22-Year Investigation (1344 citations)
- Changes in the carbon balance of tropical forests: evidence from long-term plots (730 citations)
What are the main themes of her work throughout her whole career to date?
Ecology, Rainforest, Amazon rainforest, Biodiversity and Amazonian are her primary areas of study.
Her study in Ecology concentrates on Species richness, Biomass, Ecosystem, Habitat fragmentation and Habitat.
Her Rainforest research includes themes of Old-growth forest, Canopy, Climate change and Basal area.
Her work carried out in the field of Amazon rainforest brings together such families of science as Forest dynamics, Carbon sink and Sink.
Her research on Biodiversity also deals with topics like
- Agroforestry that connect with fields like Biome, Logging, Deforestation and Agriculture,
- Tropics together with Tropical forest.
Her research in Amazonian intersects with topics in Dominance, Physical geography, Relative species abundance and Biota.
She most often published in these fields:
- Ecology (81.92%)
- Rainforest (44.63%)
- Amazon rainforest (28.81%)
What were the highlights of her more recent work (between 2018-2021)?
- Ecology (81.92%)
- Amazon rainforest (28.81%)
- Tropical rainforest (6.78%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Ecology, Amazon rainforest, Tropical rainforest, Biomass and Agronomy.
Ecosystem, Abundance, Canopy, Basal area and Understory are among the areas of Ecology where Susan G. Laurance concentrates her study.
Her study of Amazonian is a part of Amazon rainforest.
Her Tropical rainforest research is included under the broader classification of Rainforest.
The Rainforest study combines topics in areas such as Vegetation and Infestation.
Her Biomass research is multidisciplinary, relying on both Tropical climate, Productivity and Ecotone.
Between 2018 and 2021, her most popular works were:
- Compositional response of Amazon forests to climate change (111 citations)
- Long-term thermal sensitivity of Earth’s tropical forests (38 citations)
- Competition influences tree growth, but not mortality, across environmental gradients in Amazonia and tropical Africa (23 citations)
In her most recent research, the most cited papers focused on:
- Ecology
- Ecosystem
- Biodiversity
Her main research concerns Ecology, Amazon rainforest, Tropics, Biodiversity and Climate change.
Her study in Basal area, Forest dynamics, Food web, Temperate climate and Temperate rainforest falls under the purview of Ecology.
Susan G. Laurance combines subjects such as Leaf area index, Forestry, Biological Dynamics of Forest Fragments Project, Understory and Spatial heterogeneity with her study of Forest dynamics.
She has researched Amazon rainforest in several fields, including Taxon, Edaphic and Ecosystem, Biome.
Susan G. Laurance performs multidisciplinary studies into Ecosystem and Phylogenetic diversity in her work.
Her studies in Climate change integrate themes in fields like Tropical climate, Amazonian, Hectare, Carbon cycle and Dry season.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
