What is he best known for?
The fields of study he is best known for:
- Ecology
- Statistics
- Biodiversity
Gherardo Chirici focuses on Forest ecology, Environmental resource management, Forest management, Remote sensing and Forest inventory.
He has researched Forest ecology in several fields, including Random forest, Distance matrix and Scanner.
Gherardo Chirici has included themes like Forest resource, Biodiversity and National forest in his Environmental resource management study.
His Forest management research is multidisciplinary, incorporating elements of Intact forest landscape and Ecosystem services.
In the subject of general Remote sensing, his work in Ancillary data is often linked to Estimation, thereby combining diverse domains of study.
His research investigates the link between Forest inventory and topics such as Old-growth forest that cross with problems in Plot.
His most cited work include:
- The MIMOSE Approach to Support Sustainable Forest Management Planning at Regional Scale in Mediterranean Contexts (458 citations)
- Contribution of large-scale forest inventories to biodiversity assessment and monitoring (109 citations)
- European Forest Types and Forest Europe SFM indicators: Tools for monitoring progress on forest biodiversity conservation (91 citations)
What are the main themes of his work throughout his whole career to date?
Remote sensing, Environmental resource management, Forest management, Forest ecology and Forest inventory are his primary areas of study.
His work on Remote sensing, Satellite imagery and Lidar as part of general Remote sensing study is frequently linked to Laser scanning, bridging the gap between disciplines.
His biological study deals with issues like Biodiversity, which deal with fields such as Forest biodiversity.
His Forest management research is multidisciplinary, relying on both Intact forest landscape, Climate change and Ecosystem services.
Gherardo Chirici interconnects Old-growth forest, Eddy covariance, Primary production, Mediterranean climate and Normalized Difference Vegetation Index in the investigation of issues within Forest ecology.
His research in Forest inventory intersects with topics in Mean squared error and Estimator.
He most often published in these fields:
- Remote sensing (25.00%)
- Environmental resource management (19.20%)
- Forest management (18.30%)
What were the highlights of his more recent work (between 2018-2021)?
- Remote sensing (25.00%)
- Environmental resource management (19.20%)
- Forest management (18.30%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Remote sensing, Environmental resource management, Forest management, Forest inventory and Climate change.
The Remote sensing and Field research he does as part of his general Remote sensing study is frequently linked to other disciplines of science, such as Laser scanning, therefore creating a link between diverse domains of science.
His Environmental resource management research is multidisciplinary, incorporating perspectives in Biodiversity, Deforestation, Pollutant and Big data.
The concepts of his Forest management study are interwoven with issues in Salvage logging, Environmental protection, Carbon accounting, Carbon sink and Biomass.
His Forest inventory research includes themes of Sector model and Scenario analysis.
His work focuses on many connections between Sustainable forest management and other disciplines, such as Forest ecology, that overlap with his field of interest in Old-growth forest, Land cover and Spearman's rank correlation coefficient.
Between 2018 and 2021, his most popular works were:
- Species distribution modelling to support forest management. A literature review (24 citations)
- Time-lapsing biodiversity: An open source method for measuring diversity changes by remote sensing (17 citations)
- A spatially explicit database of wind disturbances in European forests over the period 2000–2018 (16 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Statistics
- Ecosystem
Gherardo Chirici mainly focuses on Forest management, Forest inventory, Environmental resource management, Climate change and Stock.
The various areas that Gherardo Chirici examines in his Forest management study include Mean squared error, Statistics, Variables, Estimator and Quadratic mean diameter.
His work carried out in the field of Forest inventory brings together such families of science as Scenario analysis, Sustainability and Big data.
His biological study spans a wide range of topics, including High forest, Aquatic ecosystem, Ecosystem services and Geographic information system.
His Climate change study combines topics from a wide range of disciplines, such as Sector model, Ecology, Environmental niche modelling and Sustainable forest management.
His Sustainable forest management research focuses on Biodiversity hotspot and how it connects with Physical geography and Ecosystem.
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