A climate risk analysis of Earth's forests in the 21st century

WRL Anderegg, C Wu, N Acil, N Carvalhais, TAM Pugh… - Science, 2022 - science.org
Earth's forests harbor extensive biodiversity and are currently a major carbon sink. Forest
conservation and restoration can help mitigate climate change; however, climate change …

Meta-analysis reveals that hydraulic traits explain cross-species patterns of drought-induced tree mortality across the globe

WRL Anderegg, T Klein, M Bartlett, L Sack… - Proceedings of the …, 2016 - pnas.org
Drought-induced tree mortality has been observed globally and is expected to increase
under climate change scenarios, with large potential consequences for the terrestrial carbon …

Compositional shifts in root-associated bacterial and archaeal microbiota track the plant life cycle in field-grown rice

JA Edwards, CM Santos-Medellín, ZS Liechty… - PLoS …, 2018 - journals.plos.org
Bacterial communities associated with roots impact the health and nutrition of the host plant.
The dynamics of these microbial assemblies over the plant life cycle are, however, not well …

Assessing the impact of clean air action on air quality trends in Bei**g using a machine learning technique

TV Vu, Z Shi, J Cheng, Q Zhang, K He… - Atmospheric …, 2019 - acp.copernicus.org
A 5-year Clean Air Action Plan was implemented in 2013 to reduce air pollutant emissions
and improve ambient air quality in Bei**g. Assessment of this action plan is an essential part …

A global analysis of the social and environmental outcomes of community forests

R Hajjar, JA Oldekop, P Cronkleton, P Newton… - Nature …, 2021 - nature.com
Community forest management (CFM) has been promoted for decades as a way to merge
environmental conservation with economic development and natural resource rights …

ESG score prediction through random forest algorithm

V D'Amato, R D'Ecclesia, S Levantesi - Computational Management …, 2022 - Springer
Environment-related risks affect assets in various sectors of the global economy, as well as
social and governance aspects, giving birth to what is known as ESG investments …

Predicting mental health problems in adolescence using machine learning techniques

AE Tate, RC McCabe, H Larsson, S Lundström… - PloS one, 2020 - journals.plos.org
Background Predicting which children will go on to develop mental health symptoms as
adolescents is critical for early intervention and preventing future, severe negative …

Comparing random forest with logistic regression for predicting class-imbalanced civil war onset data

D Muchlinski, D Siroky, J He, M Kocher - Political Analysis, 2016 - cambridge.org
The most commonly used statistical models of civil war onset fail to correctly predict most
occurrences of this rare event in out-of-sample data. Statistical methods for the analysis of …

[HTML][HTML] What drives the ecological quality of surface waters? A review of 11 predictive modeling tools

H Visser, N Evers, A Bontsema, J Rost, A de Niet… - Water Research, 2022 - Elsevier
What policy is needed to ensure that good-quality water is available for both people's needs
and the environment? The EU Water Framework Directive (WFD), which came into force in …

Estimating PM2. 5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016

X Meng, C Liu, L Zhang, W Wang, J Stowell… - Remote Sensing of …, 2021 - Elsevier
Predicting long-term spatiotemporal characteristics of fine particulate matter (PM 2.5) is
important in China to understand historical levels of PM 2.5, to support health effects …