Does forest loss and fragmentation reduce woodpecker-associated ecosystem functions? by Kazuma Yasuda, Daiki Kato, Shoji Naoe, Tatsuya Amano, Tetsuro Yoshikawa, Kahoko Tochigi, Shinsuke Koike

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Forest Tent Caterpillar, Malacosoma disstria Hübner (Insecta: Lepidoptera: Lasiocampidae) by James R. Meeker

“… The forest tent caterpillar, Malacosoma disstria Hübner, is the most widely distributed indigenous tent caterpillar in North America (Furniss and Carolin 1977). …”
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Productivity and ecological functions of naturally regrown pine forests of the Ukrainian Polissia by Petro Lakyda, Volodymyr Blyshchyk

Subjects: “…natural forest regrown…”
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Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review by J. M. Barbosa, E. N. Broadbent, M. D. Bitencourt

“…Tropical landscapes are, in general, a mosaic of pasture, agriculture, and forest undergoing various stages of succession. Forest succession is comprised of continuous structural changes over time and results in increases in aboveground biomass (AGB). …”
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A Bark Thickness Model for White Spruce in Alaska Northern Forests by Thomas Malone, Jingjing Liang

“…Here we developed a simple linear model to estimate white spruce bark thickness in the northern forests of Alaska. Data were collected from six areas throughout interior and southcentral Alaska. …”
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Conceptual Framework of an Effective Decision Support System in Forest Fire Management by Kadir Alperen Coşkuner, Ertuğrul Bilgili

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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…In this paper, an approach using random forest (RF), which is one of the powerful machine learning algorithms, is proposed for predicting the compressive strength of concrete using GGBFS. …”
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Sampling Ozone Exposure of Canadian Forests at Different Scales: Some Case Studies by R.M. Cox, J.W. Malcolm, R.N. Hughes, T.P.W. Williams

“…This allows for categorisation of the plots and the potential for cause-effect analysis of certain forest health responses. Forest exposure along a gradient of air pollution deposition demonstrates large variation in accumulated exposures. …”
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Urban forests management. Design-driven technological routes for wood waste valuing by Cyntia Santos Malaguti de Sousa, Tomás Queiroz Ferreira Barata, Caio Dutra Profirio de Souza, Felipe Gustavo de Melo

Subjects: “…urban forest…”
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Balance Harvest from the Forest as a Renewable Resource Using Game Theory by Ngakan Ketut Acwin Dwijendra, R. Sivaraman, Karthikeyan Kaliyaperumal, Rosario Mireya Romero-Parra

“…Forests are among the most important renewable natural resources. …”
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Florida’s Forest Stewardship Program: An Opportunity to Manage Your Land for Now and the Future by Mary L. Duryea, Deborah McGrath, Chris Demers, Anthony Grossman

Subjects: “…Forest Management and Stewardship…”
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Effectiveness Model of Coastal Forest in Pananjung Nature Reserve, Pangandaran as Tsunami Buffer by Denni Susanto, Lies Rahayu Wijayanti Faida, Sunarto Sunarto

“…This research aimed to model and assess the effectiveness of coastal forest in Pananjung Nature Reserve as a tsunami buffer. …”
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Genome sequence of Streptomyces antioxidans MUSC 164T isolated from mangrove forest by Hooi-Leng Ser, Nurul-Syakima Ab Mutalib, Wai-Fong Yin, Bey-Hing Goh, Learn-Han Lee, Kok-Gan Chan

“…Having a complicated development life cycle with the ability to form spores, 27 Streptomyces species are ubiquitous in nature and can be found in interesting places like deep 28 sea, hot springs and also mangrove forest[3-11]. Streptomyces antioxidans MUSC 164T was 29 originally isolated from mangrove forest in the east coast of Peninsular Malaysia and has been 30 deposited at two culture collection centers (=DSM 101523T = MCCC 1K01590T)[12,13]. …”
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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

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Estimation of Forest Leaf Area Index Based on GEE Data Fusion Method by Xinyi Liu, Li He, Zhengwei He, Yun Wei

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An Alternative Method for Traffic Accident Severity Prediction: Using Deep Forests Algorithm by Jing Gan, Linheng Li, Dapeng Zhang, Ziwei Yi, Qiaojun Xiang

“…Recently, a machine learning algorithm called Deep Forests based on the decision tree ensemble has aroused widespread concern, which was proposed for the first time by a research team of Nanjing University. …”
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What Is a Healthy Forest? A Supplement to Florida Project Learning Tree by Sarah L. Hicks, Martha C. Monroe, Geetha S. Iyer, Jason A. Smith

“…There is no question that forests provide important ecological services and economic resources to Floridians. …”
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Plant cover and hydrological response in a seasonally dry tropical forest (SDTF) by Eunice Maia Andrade, Maria Elinalda Ribeiro Costa, Júlio César Neves dos Santos, Helba Araujo de Queiroz Palácio, Jacques Carvalho Ribeiro Filho

“…In order to minimise the problem, this study was developed to investigate the influence of the characteristics of rainfall events and plant cover on the effective precipitation (Pe) in a seasonally dry tropical forest (SDTF) in the Northeast of Brazil. The study was carried out in two paired watersheds, one with SDTF under regeneration for 35 years (CR35) and the other under thinned SDTF for 5 years (TC). …”
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Introduction to the special issue: Tool use among Ugandan forest fragment chimpanzees by Marie Cibot

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Effects of Forest Area, Environmental Patents And Financial Progress on Carbon Emissions in Azerbaijan by Korkut Pata Ugur, Karlilar Pata Selin

“…In addition, the study shows that financial development increases environmental problems, environmental patents have no effect on carbon emissions, and forest area is a critical factor for decarbonization. …”
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