Showing 4,421 - 4,440 results of 4,451 for search '"forest"', query time: 0.06s Refine Results
  1. 4421

    Conservation of wild western honey bees Apis Mellifera in the Polissia natural zone of Ukraine: history, sources of nectar and pollen by Sichenko O., Kryvyi M., Horchanok A., Kuzmenko O., Tytariova O.

    Published 2024-12-01
    “…Pollen of Potentilla erecta L, Frangula alnus L, Lamium purpureum L, as species with the longest flowering season, remain available almost throughout the honey collection season, and the anemophilic pollen-producing tree of the Fagaceae family Quercus robur L is a common source of pollen for honey bees in Polissia forests.…”
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    Article
  2. 4422
  3. 4423
  4. 4424

    El rol de los actores sociales y sus implicancias en la configuración territorial de Moquehue, Neuquén, Argentina by Celia Viviana Torrens, Elsie Marcela Jurio, Vanesa Yanina Cappelletti, Germán Gabriel Pérez, Daiana Elcira Cara Plá, Gimena Nathalie Cuevas, María Silvina Hauw, Pablo Alejandro Leyes

    Published 2017-12-01
    “…It aroses in the 40's, as a product of the development of cattle raising and forestation. Since these activities began, the permanent settlement and first commercial activities appeared, in order to cover the new demands. …”
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    Article
  5. 4425
  6. 4426

    Assessing tick attachments to humans with citizen science data: spatio-temporal mapping in Switzerland from 2015 to 2021 using spatialMaxent by Lisa Bald, Nils Ratnaweera, Tomislav Hengl, Patrick Laube, Jürg Grunder, Werner Tischhauser, Netra Bhandari, Dirk Zeuss

    Published 2025-01-01
    “…Our study reveals that tick attachment to humans is particularly high at the edges of settlement areas, especially in sparsely built-up suburban regions with green spaces, while it is lower in densely urbanized areas. Additionally, forested areas near cities also show increased risk levels. …”
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    Article
  7. 4427

    Assessing the Effects of Land Use Practices on the Environment in Rugarama North Ntungamo District. by Turyahabwe, Deus

    Published 2025
    “…There is need for policy making concerning environmental conservation measures through a forestation thus discouraging or reducing deforestation and education of masses should be encouraged relating to the efficient use of land use practices on environment through sensitizing people on dangers of mining and mining related effects.…”
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    Thesis
  8. 4428

    Carbon sequestration in different urban vegetation types in Southern Finland by L. Thölix, L. Backman, M. Havu, M. Havu, E. Karvinen, J. Soininen, J. Trémeau, O. Nevalainen, J. Ahongshangbam, L. Järvi, L. Järvi, L. Kulmala

    Published 2025-02-01
    “…In this study, we examined the performance of three models – the Jena Scheme for Biosphere–Atmosphere Coupling in Hamburg (JSBACH), the Lund–Potsdam–Jena General Ecosystem Simulator (LPJ-GUESS), and the Surface Urban Energy and Water Balance Scheme (SUEWS) – in estimating carbon sequestration rates in both irrigated and non-irrigated lawns, park trees (<i>Tilia cordata</i>), and urban forests (<i>Betula pendula</i>) in Helsinki, Finland. …”
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    Article
  9. 4429

    Modeling the tropical fish community related to land uses and environmental determinants by N. Takarina, O. Chuan, M. Afifudin, L. Tristan, I. Arif, A. Adiwibowo

    Published 2023-07-01
    “…This study aims to assess and compare the environment and tropical fish community between disturbed and intact sites, represented by coasts dominated by settlements and coasts dominated by mangrove forests in West Java, Indonesia.METHODS: Fish sampling was carried out at two sites: Jakarta as the disturbed site and Subang as the intact site; water quality was also measured at these sites. …”
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    Article
  10. 4430

    Impacts of free-roaming dogs on spatiotemporal niches of native carnivores in Taiwan by Hsin-Cheng Ho, Tzung-Su Ding, Hsiao-Wei Yuan, Jo-Szu Tsai, Guo-Jing Weng, Yu-Hsiu Lin, Hsiang Ling Chen, Yu-Bo Huang, Shih-Ching Yen

    Published 2025-01-01
    “…However, crab-eating mongooses co-occurred with dogs spatially (SIF > 1), possibly due to their strong dependence on specific environments (i.e., forests around freshwater environments). We did not detect changes in spatiotemporal niche overlap among native carnivores. …”
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    Article
  11. 4431

    Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks by Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya

    Published 2025-01-01
    “…This classification was performed using machine learning (ML) algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Decision Tree (DT), Random Forests (RF), and Extreme Gradient Boosting (XGBoost). …”
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  12. 4432

    Quantification of ecosystem services from mangrove silvofishery by E. Sumarga, D. Rosleine, G.B. Hutajulu, R.P. Plaurint, Tsabita ., M. Basyuni, S.H. Larekeng, M.F. Taqiyudin, N.N. Shohihah, H. Ali

    Published 2024-07-01
    “…BACKROUND AND OBJECTIVES: Mangrove silvofishery, a unique system that combine aquaculture with mangrove forests, presents a promising sustainable solution for Indonesia's coastal communities. …”
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    Article
  13. 4433

    A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

    Published 2022
    “…It states, “We are determined to end poverty and hunger, in all their forms and dimensions, and to ensure that all human beings can fulfil their potential in dignity and equality and in a healthy environment and determined to protect the planet from degradation, including through sustainable consumption and production, sustainably managing its natural resources and taking urgent action on climate change, so that it can support the need of the present and future generations” Goal 15 is to protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss. …”
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  14. 4434

    Bacterial profiling of mask waste from terrestrial and marine environment by A. Rakhmawati, B. Octavia, S. Marwati, D. Kristanti

    Published 2024-10-01
    “…The objective of this research was to identify, choose, and analyze the bacteria present in discarded face masks at landfill sites (Piyungan, Yogyakarta and Jatibarang, Semarang), coastal areas (Tanjung Pasir, Tangerang, and Marina, Semarang), as well as mangrove forests (Teluk Naga, Tangerang, and Tirang, Semarang) situated in Java, Indonesia.METHODS: The bacterial isolation was performed using minimal salt medium. …”
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  15. 4435

    Topic modelling of the wetland condition assessment literature reveals trends, key gaps, and opportunities for combining different assessment techniques by Kaline de Mello, Osmar Luiz, Erica A. Garcia, Anna E. Richards

    Published 2025-02-01
    “…In contrast, topics like ‘biological and ecological integrity’, ‘forested wetlands’, and ‘wetland boundary delineation’ showed declining prominence over time, indicating a potential shift in research focus. …”
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    Article
  16. 4436

    Potencialidad de especies y procedencias de Cedrela para el establecimiento de plantaciones sustentables en diferentes ambientes del Noroeste Argentino by J. GRIGNOLA, M. ACRECHE, J. DI RIENZO, M. GATTO, L. FORNES

    Published 2014-01-01
    “…Los resultados resaltan la importancia de considerar el origen de las semillas al momento de realizar un emprendimiento forestal con estas especies. El material remanente en cada sitio y que logró el mayor desarrollo tiene mucho valor y servirá de fuente para continuar el programa de domesticación con fines productivos y de rescate del material genético con fines de conservación.…”
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    Article
  17. 4437

    Contenidos de nitrógeno y fósforo del suelo ante un cambio de cobertura y condición topográfica by S.I. Besteiro, A.I.B. Descalzo

    Published 2021-01-01
    “…Los resultados obtenidos revelan que los contenidos de fósforo disponible se vieron afectados de forma significativa por los cambios de cobertura del suelo (p-value< 4,00e-06) y la condición topográfica (p-value< 2,55e-06), de modo tal que los mayores contenidos de este nutriente se encuentran en bajas situaciones y cobertura forestal. En cambio, los contenidos de nitrógeno total respondieron únicamente a un cambio de la cobertura (p-value< 1,01e-05), hallándose en mayor proporción bajo las forestaciones. …”
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    Article
  18. 4438

    Accumulation Characteristics and Hydrological Effects of Litter in Mixed Robinia pseudoacacia Plantations by CAO Zetao, DENG Yangxu, TIAN Jing, WANG Bing, LIU Guobin, YANG Yanfen

    Published 2024-12-01
    “…[Objective] Studying the accumulation characteristics and hydrological effects of typical mixed Robinia pseudoacacia plantations is crucial for deeply investigating the water conservation capacity of artificial forests on the Loess Plateau. [Methods] This study focused on five different mixed planting patterns of Robinia pseudoacacia in the loess hilly region, including R. pseudoacacia × Hippophae rhamnoides, R. pseudoacacia × Amorpha fruticosa, R. pseudoacacia × Pinus tabuliformis, R. pseudoacacia × Prunus davidiana, and R. pseudoacacia × Prunus sibirica, with pure R. pseudoacacia plantations serving as a control for comparative analysis. …”
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    Article
  19. 4439

    Spatiotemporal analysis of oil palm land clearing by M.K. Rosyidy, E. Frimawaty

    Published 2024-01-01
    “…This study shows that the area of oil palm land from 2015 to 2019 has increased along with a decrease in land used, such as forests and others. The area of oil palm land 2014 was 2,071,345 hectares, while the area in 2019 was 2,110,545 hectares. …”
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    Article
  20. 4440

    The Application of Machine Learning Algorithms to Predict HIV Testing in Repeated Adult Population–Based Surveys in South Africa: Protocol for a Multiwave Cross-Sectional Analysis... by Musa Jaiteh, Edith Phalane, Yegnanew A Shiferaw, Refilwe Nancy Phaswana-Mafuya

    Published 2025-01-01
    “…Logistic regression, support vector machines, random forests, and decision trees will be used. A cross-validation technique will be used to divide the training sample into k-folds, including a validation set, and models will be trained on each fold. …”
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