Climate change mitigation through biodiversity conservation of wild nutmeg (Myristica spp.) and its habitat (case study in Halmahera Forest, North Maluku) by Mandea Abdul Rahmat, Nandariyah, Yuniastuti Endang, Parjanto, Melati Rima

“…Vegetation analysis is used as an approach to climate change mitigation through managing wild nutmeg habitat biodiversity as a single function of the Halmahera forest against the impacts of climate change. The results of vegetation studies on the natural habitat of wild nutmeg have shown that the composition and structure of the natural habitat vegetation of wild nutmeg in the Halmahera forest have been disturbed although still in the moderate category. …”
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Dietary supplementation with Epimedium contributes to the improvement of hormone levels, gut microbiota, and serum metabolite composition in the Chinese forest musk deer (Moschus berezovskii) by Shan Xie, Shan Xie, Qinlin Yang, Zaixiang Ying, Zaixiang Ying, Mingcheng Cai, Wenqiao Fan, Hanyu Gao, Hanyu Gao, Xiaolan Feng, Yongjiang Wu

“…The Chinese forest musk deer (Moschus berezovskii) is a small ruminant animal with special economic value. …”
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Comparison of forest canopy gap fraction measurements from drone-based video frames, below-canopy hemispherical photography, and airborne laser scanning by Mait Lang, Mikk Antsov, Andres Mumma, Indrek Suitso, Andres Kuusk, Kaarel Piip

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Response of Maize (Zea mays L.) to Different Rates of Palm Bunch Ash Application in the Semi-deciduous Forest Agro-ecological Zone of Ghana by S. Adjei-Nsiah

“…The effects of palm bunch ash (PBA) and mineral fertilizer application on grain yield and nutrient uptake in maize and soil chemical properties were studied in both the major and minor rainy seasons in the semi-deciduous forest agro-ecological zone of Ghana. In both the major and minor rainy seasons, the response of maize to four levels (0, 2, 4, and 6 tons per hectare) of palm bunch ash and 200 kg per hectare of NPK (15-15-15) application was evaluated using randomised complete block design. …”
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IUFRO Research Group 7.01 “Impacts of Air Pollution and Climate Change on Forest Ecosystems” Riverside, California, September 10-15, 2006

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Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering by Zhang Majun

“…This research utilizes the KDDCUP99 dataset to incorporate K-means clustering with three classifiers: Random Forest (RF). Naïve Bayes (NB). and Support Vector Machine (SVM) with the goal to boost the accuracy of predicting network intrusions. …”
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Drought-induced shifts in gross primary production pathways in Moso bamboo forests: Insights from improved BIOME-BGC and structural equation modeling by Zhaodong Zheng, Fangjie Mao, Huaqiang Du, Xuejian Li, Fengfeng Ye, Xianfeng Teng, Ningxin Yang, Jiacong Yu, Meixuan Song, Yinyin Zhao

Subjects: “…Moso bamboo forest…”
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<i>Quercus cerris</i> Leaf Functional Traits to Assess Urban Forest Health Status for Expeditious Analysis in a Mediterranean European Context by Luca Quaranta, Piera Di Marzio, Paola Fortini

“…In the Mediterranean basin, urban forests are widely recognized as essential landscape components, playing a key role in nature-based solutions by enhancing environmental quality and providing a range of ecosystem services. …”
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Distribution and abundance of a soil centipede, Tygarrup nepalensis Shinohara, 1965 (Mecistocephalidae: Geophilomorpha: Chilopoda) in a moist temperate forest in Northwest Himalaya by Negi Javaid Diksha, Ahmed Shakoor, Sambyal Deepali, Stašiov Slavomír, Julka Jatinder Mohan

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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…Next, we will modify and use an AlexNet-Random Forest (AlexNet-RF) based classifier for robust lesion classification. …”
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Gross soil N transformations and microbial communities in Luxembourg beech forest (Fagus sylvatica L.) soils along a pH gradient by Mengru Jia, Annemieke Kooijman, Roland Bol, Wim W. Wessel, Kathrin Hassler, Albert Tietema

“…Acidic and calcareous soils differ in nitrogen (N) cycling, yet the underlying gross N transformations remain unclear in temperate forests. To address this gap, we quantified gross N transformations and microbial abundances in the organic layer and mineral topsoil (0–5 cm) of four closely situated beech forests along a natural pH gradient. …”
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Studi Komparasi Naive Bayes, K-Nearest Neighbor, dan Random Forest untuk Prediksi Calon Mahasiswa yang Diterima atau Mundur by Puteri Sejati, Munawar Munawar, Marzuki Pilliang, Habibullah Akbar

“… Penelitian ini bertujuan untuk mendapatkan model prediksi terbaik dari data Penerimaan Mahasiswa Baru tahun 2014 hingga 2019 dengan membandingkan Naive Bayes, K-Nearest Neighbor, dan Random Forest. Penelitian ini menggunakan metode klasifikasi untuk memprediksi calon mahasiswa. …”
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The influence of the forest corridors to the north of the Andes on the diversification of the bright‐rumped Attila, Attila spadiceus (Passeriformes, Tyrannidae), during the climatic oscillations of the middle Pleistocene by Patrícia Mendonça, Lincoln Silva Carneiro, Victor Leandro‐Silva, Alexandre Aleixo, Juliana Araripe, Péricles S. Rêgo

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LA GEOPEDOLOGIA COMO BASE PARA ZONIFICAR LA APTITUD FORESTAL EN UNA CUENCA DEL NOROESTE DE LA PATAGONIA ARGENTINA by Maria Cristina Frugoni, Romina González Musso, Gabriel Falbo, Dolores Zapiola

“…Those tables were included and analized with a GIS (Geographic Information System) to obtain a forest suitability map. The study area shows four forest suitability classes. …”
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Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization by Manoharan Subramanian, Velmurugan Lingamuthu, Chandran Venkatesan, Sasikumar Perumal

“…The target image has been retrieved for the given query image by training the random forest classifier. The proposed colour, gray, advanced texture, shape feature, and random forest classifier with optimized PSO (CGATSFRFOPSO) provide efficient retrieval of images in a large-scale database. …”
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Depressive symptoms and its influencing factors of older people with cataracts in China: a national cross-sectional survey by Tengfei Niu, Shiwei Cao, Xiaoyu Wang, Xiaobing Xian, Chunyang Luo, Jingxi Ma

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What if prescribed fire is not an option? A review of alternative treatments. by Michael G Andreu, Christopher Kinslow, Stephen Enloe

Subjects: “…forest management…”
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Quand la forêt s’impose comme une évidence paysagère pour l’habitant by Eva Bigando

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Low-cost phone-based LiDAR scanning technology provides sub-centimeter accuracy when measuring the main dimensions of motor-manual tree felling cuts by Stelian Alexandru Borz, Andrea Rosario Proto

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Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy) by Rachele Bordoni, Chiara Paoli, Monica Montefalcone, Alice Oprandi, Ilaria Rigo, Francesca Ruggeri, Paolo Vassallo

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