Artikel: Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data.
2024 Band 13, Heft 1, Seite(n) 37
Abstract: Background: Deciduous forests in eastern North America experienced a widespread and intense spongy moth (: Results: Remote sensing derived, growing season mean LAI values of deciduous (mixed) forests were 3.66 (3.18), 2.74 (2.64), and 3.53 (2.94) m!## ...
Abstract | Background: Deciduous forests in eastern North America experienced a widespread and intense spongy moth ( Results: Remote sensing derived, growing season mean LAI values of deciduous (mixed) forests were 3.66 (3.18), 2.74 (2.64), and 3.53 (2.94) m Conclusions: The methods developed in this study offer valuable tools to assess and quantify natural disturbance impacts on the regional C balance of forest ecosystems by integrating field observations, high-resolution remote sensing data and models. Study results will also help in developing sustainable forest management practices to achieve net-zero C emission goals through nature-based climate change solutions. |
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Sprache | Englisch |
Erscheinungsdatum | 2024-05-14 |
Erscheinungsland | Germany |
Dokumenttyp | Journal Article |
ZDB-ID | 2694945-3 |
ISSN | 2192-1709 |
ISSN | 2192-1709 |
DOI | 10.1186/s13717-024-00520-w |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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