AIMC Topic: Forests

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Landscape ethnoecological knowledge base and management of ecosystem services in a Székely-Hungarian pre-capitalistic village system (Transylvania, Romania).

Journal of ethnobiology and ethnomedicine
BACKGROUND: Previous studies showed an in-depth ecological understanding by traditional people of managing natural resources. We studied the landscape ethnoecological knowledge (LEEK) of Székelys on the basis of 16-19(th) century village laws. We ana...

Soil and litter emission sources as important contributors to ozone production from volatile organic compounds in island tropical forests.

Environmental research
While studies have confirmed that volatile organic compounds (VOCs) emitted directly by tropical island forest vegetation significantly influence ozone (O) production and climate change through atmospheric oxidation processes, the environmental effec...

Distinguishing dominant drivers on long-term vegetation dynamics across China considering time-lag and accumulation effects using machine learning techniques.

Journal of environmental management
Accurate attribution of vegetation dynamics is essential to ensure the conservation, restoration and sustainability of terrestrial ecosystems. However, due to the time-lag and accumulation effects of vegetation responding climate change and anthropog...

Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning.

Journal of environmental management
Against the backdrop of global climate change and rapid socioeconomic advancement, significant land use/cover changes(LUCC) in Central Asia have profoundly impacted terrestrial ecosystem carbon storage(CS). However, the assessment and spatiotemporal ...

Profiling of mangrove forest dynamics in the Fly River delta, Papua New Guinea.

Marine pollution bulletin
Mangrove forests (MFs), as vital ecosystems in tropical and subtropical coastal regions, play a significant role in the global carbon cycle. However, MFs are currently facing unprecedented risks of degradation due to both natural and anthropogenic fa...

Process-Informed Neural Networks: A Hybrid Modelling Approach to Improve Predictive Performance and Inference of Neural Networks in Ecology and Beyond.

Ecology letters
Despite deep learning being state of the art for data-driven model predictions, its application in ecology is currently subject to two important constraints: (i) deep-learning methods are powerful in data-rich regimes, but in ecology data are typical...

Forest fire risk zoning based on fuzzy logic and analytical network process.

Ying yong sheng tai xue bao = The journal of applied ecology
Forest fires have a significant impact on human life, property safety, and ecological environment. Deve-loping high-quality forest fire risk maps is beneficial for preventing forest fires, guiding resource allocation for firefighting, assisting in fi...

Practical Guide to Honest Causal Forests for Identifying Heterogeneous Treatment Effects.

American journal of epidemiology
"Heterogeneous treatment effects" is a term which refers to conditional average treatment effects (i.e., CATEs) that vary across population subgroups. Epidemiologists are often interested in estimating such effects because they can help detect popula...

Predictive analysis across spatial scales links zoonotic malaria to deforestation.

Proceedings. Biological sciences
The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechani...

Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran.

Anais da Academia Brasileira de Ciencias
During the recent decades, deciduous forests have been molested by human intervention. Easy access, abundance and diversity of valuable forest products have led to increased population density, creating new residential areas and deforestation activit...