Forestry Research publishes innovative studies that advance the scientific understanding of forest trees and their ecosystems. Contributions to the journal are expected to demonstrate significant scientific progress by offering novel biological insights or expanding knowledge in specialized areas of forestry science.

The journal welcomes impactful research spanning a wide range of topics, including but not limited to:

● Molecular, Genetic, and Physiological Mechanisms: Studies on tree growth, development, and adaptation at the molecular and physiological levels.

● Forest Ecosystem Dynamics and Resilience: Interdisciplinary research on ecosystem processes, resilience, and interactions with environmental and anthropogenic factors.

● Omics and Data Analysis: Utilization of genomics, transcriptomics, proteomics, metabolomics, and integrated -omics approaches to explore tree biology and forest ecosystem dynamics.

● Genome Sequencing, Assembly, and Genome Evolution: Investigations into whole-genome sequencing, assembly, annotation, structural variations, and the genetic basis of adaptation, speciation, and genome evolution in forest trees.

● Genomics and Population Evolution: Research on population structure, genomic adaptations, evolutionary dynamics, and comparative genomics, with a focus on forest tree diversity and speciation.

● Gene Regulatory Mechanisms: Studies on the molecular mechanisms controlling gene expression in trees, including transcriptional regulation, post-transcriptional processes, gene networks, and regulatory pathways involved in development, stress responses, and adaptation.

● Epigenetics and Gene Regulation: Investigations into epigenetic mechanisms such as DNA methylation, histone modifications, chromatin remodeling, microRNAs, and non-coding RNAs, focusing on their roles in regulating gene expression, tree development, stress responses, and adaptation.

● Genetics, Breeding and Germplasm: Studies on tree genetics, marker-assisted selection and breeding, molecular breeding, germplasm conservation and biodiversity, and genetic resource management.

● Biotechnology: Advances in genetic engineering, functional genomics, synthetic biology, genome editing, and molecular mechanisms of gene transformation and regeneration in trees.

● Conservation Biology: Research on the conservation of forest biodiversity, rare and endangered species, and habitat restoration techniques as well as nvasive species management in forest ecosystems.

● Phytoremediation and Environmental Applications: Research on engineering plants to clean up environmental pollutants (e.g., heavy metals, pesticides) and developing plants for land restoration in degraded ecosystems.

● Forest Ecology and Climate Adaptation: Investigations into forest ecology, the impacts of climate change on forest ecosystems, and the adaptive strategies of forest trees and ecosystems to changing environments.

● Carbon Sequestration and Forest Carbon Dynamics: Investigations into the role of forests in carbon cycling, carbon sequestration potential, and climate change mitigation strategies.

● Silviculture and Forest Management: Studies on sustainable forest management practices, silvicultural techniques, growth metrics, biometrics, and inventory methodologies.

● Tree Physiology and Ecophysiology: Research into tree responses to environmental stresses, physiological and ecophysiological processes, and adaptive mechanisms in varying climates and habitats.

● GIS and Remote Sensing: The application of radar, LiDAR, and sensors, as well as hyperspectral images, for collecting, analyzing, and visualizing spatial and temporal data about forests or characterizing phenotypical and biochemical traits of forest trees.

● Tree-Soil Interactions: Investigations into the relationships between trees and soil, including nutrient cycling, soil-forest feedback mechanisms, and strategies for sustainably meeting societal needs for bioproducts and fuels.

● Tree Interactions with Biotic and Abiotic Factors: Research on symbiotic and antagonistic relationships between trees and other organisms, including pests, pathogens, and environmental factors.

●  AI and Machine Learning: Applications of AI, machine learning, and deep learning for advancing forestry research and practical implementations in forest management.

Research focusing exclusively on soil, soil microbial species, GIS/remote sensing technology, wood properties and products, specific understory species, or hydrology, without considering forests as a central component, will not be considered.

For ornamental trees and economic dry fruit and nut trees, Forestry Research will consider studies focused on their development, ecology, physiology, silviculture, genetics, and genomics. However, research emphasizing ornamental traits (e.g., flower and leaf colors, fruit and nut quality) is recommended for submission to horticultural journals such as Horticulture Research, Ornamental Plant Research, Fruit Research, or other relevant publications.

Forestry Research also seeks to foster community engagement by publishing editorials and perspectives that offer opinions on specific issues or provide new insights into existing research topics.

For inquiries about topics not explicitly listed, please contact the editorial team (forrest@maxapress.com) .