标题
Harnessing Deep Learning in Ecology: An Example Predicting Bark Beetle Outbreaks
作者
关键词
-
出版物
Frontiers in Plant Science
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-10-28
DOI
10.3389/fpls.2019.01327
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A scalable model of vegetation transitions using deep neural networks
- (2019) Werner Rammer et al. Methods in Ecology and Evolution
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Iterative near-term ecological forecasting: Needs, opportunities, and challenges
- (2018) Michael C. Dietze et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Transpiration deficits increase host susceptibility to bark beetle attack: Experimental observations and practical outcomes for Ips typographus hazard assessment
- (2018) Bradley Matthews et al. AGRICULTURAL AND FOREST METEOROLOGY
- Prospective Interest of Deep Learning for Hydrological Inference
- (2017) Jean Marçais et al. Groundwater
- Remote sensing of forest insect disturbances: Current state and future directions
- (2017) Cornelius Senf et al. International Journal of Applied Earth Observation and Geoinformation
- Forest disturbances under climate change
- (2017) Rupert Seidl et al. Nature Climate Change
- Prospective Interest of Deep Learning for Hydrological Inference
- (2017) Jean Marçais et al. Groundwater
- Deep learning for computational biology
- (2016) Christof Angermueller et al. Molecular Systems Biology
- Deep Learning for Remote Sensing Image Understanding
- (2016) Liangpei Zhang et al. Journal of Sensors
- Natural disturbance impacts on ecosystem services and biodiversity in temperate and boreal forests
- (2015) Dominik Thom et al. BIOLOGICAL REVIEWS
- Citizen Science as a Distinct Field of Inquiry
- (2015) Rebecca Jordan et al. BIOSCIENCE
- Correcting the calculation of Gleichläufigkeit
- (2015) Allan Buras et al. DENDROCHRONOLOGIA
- Small beetle, large-scale drivers: how regional and landscape factors affect outbreaks of the European spruce bark beetle
- (2015) Rupert Seidl et al. JOURNAL OF APPLIED ECOLOGY
- REVIEW: Predictive ecology in a changing world
- (2015) Nicolas Mouquet et al. JOURNAL OF APPLIED ECOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Planetary boundaries: Guiding human development on a changing planet
- (2015) W. Steffen et al. SCIENCE
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Multi-site evaluation of terrestrial evaporation models using FLUXNET data
- (2014) A. Ershadi et al. AGRICULTURAL AND FOREST METEOROLOGY
- Panarchy: Theory and Application
- (2014) Craig R. Allen et al. ECOSYSTEMS
- Bringing an ecological view of change to Landsat-based remote sensing
- (2014) Robert E Kennedy et al. FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
- Harnessing the power of big data: infusing the scientific method with machine learning to transform ecology
- (2014) Debra P. C. Peters et al. Ecosphere
- The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP): Project framework
- (2013) Lila Warszawski et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
- (2012) Alekh Agarwal et al. ANNALS OF STATISTICS
- Ecological forecasting and data assimilation in a data-rich era
- (2011) Yiqi Luo et al. ECOLOGICAL APPLICATIONS
- Quantifying spatio-temporal dispersion of bark beetle infestations in epidemic and non-epidemic conditions
- (2011) Markus Kautz et al. FOREST ECOLOGY AND MANAGEMENT
- Predictive ecology: systems approaches
- (2011) M. R. Evans et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Modelling ecological systems in a changing world
- (2011) M. R. Evans PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Data archiving in ecology and evolution: best practices
- (2010) Michael C. Whitlock TRENDS IN ECOLOGY & EVOLUTION
- Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions
- (2008) Kenneth F. Raffa et al. BIOSCIENCE
- Machine Learning Methods Without Tears: A Primer for Ecologists
- (2008) Julian D. Olden et al. QUARTERLY REVIEW OF BIOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation