Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Marta Chiesi
Simulating the Net Primary Production of Even-Aged Forests by the Use of Remote Sensing and Ecosystem Modelling Techniques
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Use of Remote Sensing and Biogeochemical Modeling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Use of Remote Sensing and Biogeochemical Modelling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
Preprint Communication Version 1 This version is not peer-reviewed Version 1 : Received: 31 December 2023 / Approved: 2 January 2024 / Online: 2 January 2024 (08:36:08 CET) Chiesi, M.; Fibbi, L.; Vanucci, S.; Maselli, F. Use of Remote Sensing and Biogeochemical Modelling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes. Preprints 2024, 2024010057. https://doi.org/10.20944/preprints202401.0057.v1 Chiesi, M.; Fibbi, L.; Vanucci, S.; Maselli, F.
Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets
Abstract Process-based Forest Models (PBFMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes and stocks in forests, accounting for ecophysiological, climate and geographical variability. Yet, their predictive capacity should be demonstrated not only at the stand-level but also in the context of large spatial and temporal heterogeneity.
Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. multiple datasets
New Results doi: https://doi.org/10.1101/2023.06.13.544712 Abstract Process-based models (PBMs) offer the possibility to capture important spatial and temporal patterns of both carbon fluxes and stocks in forests, accounting for ecophysiological, climate, and geographical variability. For the first time, the stand scale process-based model 3D-CMCC-FEM is applied in a spatially explicit manner at 1 km spatial resolution in a Mediterranean region in southern Italy.
Optimized application of BIOME-BGC for modeling the daily GPP of natural vegetation over peninsular Spain
A methodology for improving the application of BIOME-BGC in peninsular Spain was developed focusing on the optimization of the rooting depth (z ), which is not available for the study area on a spatially distributed basis. The optimal z was identified by comparing daily gross primary production (GPP) simulations with varying z to GPP estimations from a production efficiency model previously optimized for and validated in the study area.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Marta
Contact Marta, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack