基本信息
浏览量:17
职业迁徙
个人简介
Forests have multiple important roles as a timber resource, as habitat for many species, and for recreation. They are a fundamental part of Earth's climate system because they take up CO2 from the atmosphere through photosynthesis and store the absorbed carbon in leaves, stems, roots and soils. Many questions remain about the amount of carbon stored by forests and how this is affected by climate change; disturbance from wind or fire damage, pests or diseases; and due to management decisions or deforestation.
For these reasons countries are required to produce reliable data on carbon storage through National Forest Inventories (NFI), but these data are often neither timely nor accurate. Collection of forest data is wrought with difficulties. NFIs rely on sample plot surveys, methods may differ between countries, and surveys are often infrequent due to time and cost. There is therefore a real need to develop consistent and accurate methods for forest assessments.
Satellites observe the entire planet and collect data from forests globally. Using data from satellites or aircraft for forest inventories has a major advantage since data are collected by one instrument and inventories for different places are therefore similar. Moreover, data are collected at frequent intervals and this allows timely updates of forest inventories.
The project uses techniques which assess the structure of forests in order to estimate important forest parameters, as well as observations over many years to identify trends in our forests’ histories e.g. change due to forest health or harvesting. In partnership with Forest Research, the GB Forestry Commission Research Agency, new methods have been developed to estimate, update and improve the accuracy of inventory information held about our forests. These in turn have been used to drive models which provide forecasts of timber production, identify wind risk, and predict fire susceptibility to inform management decisions.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
FORESTSno. 2 (2024): 277
Remote Sensingno. 20 (2023): 5032
Luiza Marina Esteves de Carvalho, Alessandra Melo, Glauco Jose de Matos Umbelino,Jan-Peter Mund,Jhonathan Gomes dos Santos,Jacqueline Rosette,Daniel Silveira,Eric Bastos Gorgens
SOUTHERN FORESTS-A JOURNAL OF FOREST SCIENCEno. 4 (2021): 303-309
biorxiv(2020)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn