Showing 801 - 820 results of 4,451 for search '"forest"', query time: 0.05s Refine Results
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    Motivický vývoj obrazu minulosti Šumavy by Michal Hořejší

    Published 2024-12-01
    Subjects: “…bohemian forest…”
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  9. 809

    Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification by Longjun Dong, Xibing Li, Gongnan Xie

    Published 2014-01-01
    “…The nonlinear methodologies including Random Forests (RF), Support Vector Machines (SVM), and Naïve Bayes Classifier (NBC) were applied to discriminant seismic events. …”
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  10. 810

    Climate Change Adaptation: An Ecosystem-Based Approach for Livelihood Improvement of Fringe Communities around Worobong South Forest Reserve in Ghana by Samuel Adu-Acheampong, Conrad Kyei-Mensah, Rosina Kyerematen

    Published 2022-01-01
    “…Anthropogenic and climate-induced change can potentially impact negatively on direct dependents of forest ecosystem services. To help build resilient societies, we examined the vulnerability of ecosystem-dependent communities in the Worobong South Forest Reserve (WSFR). …”
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    A new species of the lenticel fungal genus Claviradulomyces (Ostropales) from the Brazilian Atlantic forest tree Xylopia sericea (Annonaceae) by Robert W. Barreto, Peter R. Johnston, Pedro W. Crous, Harry C. Evans

    Published 2012-12-01
    “…Claviradulomyces xylopiae sp. nov. is introduced for a fungus occurring in association with abnormal (enlarged, spongy) lenticels of Xylopia sericea (Annonaceae), a common tree of the Atlantic forest and Cerrado ecosystems in Brazil. This is the second species described in the genus and, although it is morphologically distinct from the type species, C. dabeicola from West Africa, it possesses the same characteristics. …”
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    What Drives the H i Content of Central Galaxies—A Comparison between Hydrodynamic Simulations and Observations Using Random Forest by Xiao Li, Cheng Li, H. J. Mo

    Published 2025-01-01
    “…We quantify the correlations of M _H _i / M _* with a variety of galaxy properties using the Random Forest regression technique, and we make comparisons between the two simulations, as well as between the simulations and xGASS. …”
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    Freshwater turtle (Reptilia: Testudines) assemblage from an urban protected Atlantic Forest remnant: population density, movement and habitat preference by Sabine B. Rocha, Carlos Rouco, Carlos Eduardo V. Grou, Vanda Lúcia Ferreira

    Published 2025-01-01
    “…From 2016 to 2018, we accessed an assemblage of freshwater turtles isolated in an urban remnant of the Atlantic Forest, southern Brazil. We captured turtles by active search, hookless fishing, and funnel trap, and we marked them individually. …”
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    Fine-scale forest classification with multi-temporal sentinel-1/2 imagery using a temporal convolutional neural network by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang, Juan Gu

    Published 2025-12-01
    “…Monitoring and mapping forest vegetation are crucial for conserving biodiversity and estimating biomass and carbon. …”
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    Effects of Land Use Change and Seasonality of Precipitation on Soil Nitrogen in a Dry Tropical Forest Area in the Western Llanos of Venezuela by Ana Francisca González-Pedraza, Nelda Dezzeo

    Published 2014-01-01
    “…We evaluated changes of different soil nitrogen forms (total N, available ammonium and nitrate, total N in microbial biomass, and soil N mineralization) after conversion of semideciduous dry tropical forest in 5- and 18-year-old pastures (YP and OP, resp.) in the western Llanos of Venezuela. …”
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    An Assessment of Factors Influencing Forest Harvesting in Smallholder Tobacco Production in Hurungwe District, Zimbabwe: An Application of Binary Logistic Regression Model by Chipo Chivuraise, Tafireyi Chamboko, Godfrey Chagwiza

    Published 2016-01-01
    “…Deforestation is one of the major effects posed by the smallholder tobacco farming as the farmers heavily depend on firewood sourced from natural forest for curing tobacco. The research aims at assessing the factors that influence the harvesting of natural forest in the production of tobacco. …”
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