Forestry at IgMin Research | Biology Group
We strive to cultivate connections between disciplines to foster new insights and advancements.
关于
Forestry is a multidisciplinary field that focuses on the science and management of forests, woodlands, and other natural resources. It addresses the ecological, economic, and social aspects of forest ecosystems, emphasizing sustainable practices for forest conservation, management, and restoration. The field of forestry combines biology, ecology, and environmental science to develop strategies that balance human use and ecological preservation, playing a key role in maintaining biodiversity, mitigating climate change, and promoting sustainable resource use.
Forestry encompasses a diverse range of topics, from the study of forest ecosystems and their dynamics to the management of forest resources for timber, wildlife, and ecosystem services. Advances in forest management practices, forest health, and the impact of climate change on forests are critical for the future of global ecosystems. With increasing demands for timber, energy, and biodiversity conservation, the discipline of forestry offers valuable insights for improving land-use policies, promoting sustainable forestry practices, and addressing the challenges posed by deforestation and land degradation.
Why Publish with us?
- Global Visibility – Indexed in major databases
- Fast Peer Review – Decision within 14–21 days
- Open Access – Maximize readership and citation
- Multidisciplinary Scope – Biology, Medicine and Engineering
- Editorial Board Excellence – Global experts involved
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- Permanent Archiving – CrossRef DOI
- Affordable APCs with discounts
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现在哪些文章在热门？
研究文章
- Kinetic Study of the Removal of Reafix Yellow B8G Dye by Boiler Ash
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Trend of SO2 Gas Dry Deposition in Vietnam
- Risk of Nutritional Deficiencies and Changes in Dietary Patterns after Bariatric Surgery
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Solar Energy Resource Potentials of the City of Arkadag
