David J. P. Moore

What is he best known for?

The fields of study he is best known for:

• Ecology
• Ecosystem
• Botany

Ecosystem, Ecology, Primary production, Carbon cycle and Eddy covariance are his primary areas of study. He studies Ecosystem, focusing on Ecosystem respiration in particular. He works in the field of Ecology, namely Vegetation.

His Primary production research includes elements of Soil water, Biogeochemical cycle, Nitrogen cycle, Global change and Carbon dioxide. His work in Carbon cycle covers topics such as Carbon sequestration which are related to areas like Subalpine forest, Carbon sink, Snowmelt and Snow. The concepts of his Eddy covariance study are interwoven with issues in Hydrology, Growing season and Understory.

His most cited work include:

• Forest response to elevated CO2 is conserved across a broad range of productivity. (803 citations)
• A meta-analysis of elevated [CO2] effects on soybean (Glycine max) physiology, growth and yield (372 citations)
• Effects of biotic disturbances on forest carbon cycling in the United States and Canada (340 citations)

What are the main themes of his work throughout his whole career to date?

David J. P. Moore spends much of his time researching Atmospheric sciences, Ecosystem, Ecology, Biogeosciences and Carbon cycle. In his study, which falls under the umbrella issue of Atmospheric sciences, Climate change and Productivity is strongly linked to Vegetation. His research on Ecosystem often connects related areas such as Climatology.

His study in Disturbance extends to Ecology with its themes. As part of the same scientific family, David J. P. Moore usually focuses on Carbon cycle, concentrating on Subalpine forest and intersecting with Snowmelt. His biological study spans a wide range of topics, including Biosphere and Physical geography.

He most often published in these fields:

• Atmospheric sciences (25.44%)
• Ecosystem (26.04%)
• Ecology (25.44%)

What were the highlights of his more recent work (between 2017-2021)?

• Atmospheric sciences (25.44%)
• Ecosystem (26.04%)
• Biogeosciences (15.98%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Atmospheric sciences, Ecosystem, Biogeosciences, Carbon cycle and Vegetation. His Atmospheric sciences research incorporates themes from Carbon uptake, Eddy covariance, Carbon sink and Arid ecosystems. David J. P. Moore interconnects Productivity, Climatology, Hydrology and Canopy in the investigation of issues within Ecosystem.

His Carbon cycle research is multidisciplinary, incorporating perspectives in Terrestrial ecosystem and Data assimilation. His Vegetation study also includes

• Evapotranspiration which is related to area like Soil science, Leaf area index, Spatial heterogeneity and Transpiration,
• Remote sensing which is related to area like Normalized Difference Vegetation Index. Global change is a primary field of his research addressed under Ecology.

Between 2017 and 2021, his most popular works were:

• When tree rings go global: Challenges and opportunities for retro- and prospective insight (55 citations)
• Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America (55 citations)
• Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities (40 citations)

In his most recent research, the most cited papers focused on:

• Ecology
• Ecosystem
• Botany

David J. P. Moore mostly deals with Atmospheric sciences, Vegetation, Carbon cycle, Ecosystem and Remote sensing. His work carried out in the field of Atmospheric sciences brings together such families of science as Productivity and Carbon sink. His research in Vegetation focuses on subjects like Climate change, which are connected to Teleconnection, Physical geography and Forcing.

His Carbon cycle research incorporates elements of Photosynthesis, Canopy and Drought recovery. His study connects Oceanography and Ecosystem. His study focuses on the intersection of Remote sensing and fields such as Data assimilation with connections in the field of Carbon uptake.