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Mostrando 921 - 940 Resultados de 37,890 Para Buscar '"forestal"', tiempo de consulta: 0.36s Limitar resultados
  1. 921
    “…We evaluated a machine-learning method, Random Forests (RF), for its ability to predict crop yield responses to climate and biophysical variables at global and regional scales in wheat, maize, and potato in comparison with multiple linear regressions (MLR) serving as a benchmark. …”
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    Random Forests for Global and Regional Crop Yield Predictions
  2. 922
    “…None of the restoration strategies, however, resulted in similar community composition as reference forest after 8 years of recovery, highlighting the slow rate of recovery of arthropod communities after disturbance, and underscoring the importance of conservation of remnant forests in fragmented landscapes.…”
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    Leaf litter arthropod responses to tropical forest restoration
  3. 923
    “…However, little is known about the extent of overlap and niche partitions in total fungal communities or functional guilds within distinct habitats on a local forest scale. Here, we compared fungal communities in endosphere (leaf interior), phyllosphere (leaf interior and associated surface area) and soil samples from an Erman’s birch forest in Changbai Mountain, China. …”
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    Fungal Assemblages in Different Habitats in an Erman’s Birch Forest
  4. 924
    “…Deforestation and changes in land use have reduced the tropical dry forest to isolated forest patches in northwestern Costa Rica. …”
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    Effect of fragmentation on the Costa Rican dry forest avifauna
  5. 925
    “…Climate change may foster pest epidemics in forests, and thereby the fluxes of elements that are indicators of ecosystem functioning. …”
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    Forest defoliator pests alter carbon and nitrogen cycles
  6. 926
    Publicado 1939
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    Diet and Ill-Health in the Forest Country of the Gold Coast
  7. 927
    Publicado 1905
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    Crossley Sanatorium, Delamere Forest, near Frodsham, Cheshire
  8. 928
    por Sullivan, Martin J. P., Talbot, Joey, Lewis, Simon L., Phillips, Oliver L., Qie, Lan, Begne, Serge K., Chave, Jerôme, Cuni-Sanchez, Aida, Hubau, Wannes, Lopez-Gonzalez, Gabriela, Miles, Lera, Monteagudo-Mendoza, Abel, Sonké, Bonaventure, Sunderland, Terry, ter Steege, Hans, White, Lee J. T., Affum-Baffoe, Kofi, Aiba, Shin-ichiro, de Almeida, Everton Cristo, de Oliveira, Edmar Almeida, Alvarez-Loayza, Patricia, Dávila, Esteban Álvarez, Andrade, Ana, Aragão, Luiz E. O. C., Ashton, Peter, Aymard C., Gerardo A., Baker, Timothy R., Balinga, Michael, Banin, Lindsay F., Baraloto, Christopher, Bastin, Jean-Francois, Berry, Nicholas, Bogaert, Jan, Bonal, Damien, Bongers, Frans, Brienen, Roel, Camargo, José Luís C., Cerón, Carlos, Moscoso, Victor Chama, Chezeaux, Eric, Clark, Connie J., Pacheco, Álvaro Cogollo, Comiskey, James A., Valverde, Fernando Cornejo, Coronado, Eurídice N. Honorio, Dargie, Greta, Davies, Stuart J., De Canniere, Charles, Djuikouo K., Marie Noel, Doucet, Jean-Louis, Erwin, Terry L., Espejo, Javier Silva, Ewango, Corneille E. N., Fauset, Sophie, Feldpausch, Ted R., Herrera, Rafael, Gilpin, Martin, Gloor, Emanuel, Hall, Jefferson S., Harris, David J., Hart, Terese B., Kartawinata, Kuswata, Kho, Lip Khoon, Kitayama, Kanehiro, Laurance, Susan G. W., Laurance, William F., Leal, Miguel E., Lovejoy, Thomas, Lovett, Jon C., Lukasu, Faustin Mpanya, Makana, Jean-Remy, Malhi, Yadvinder, Maracahipes, Leandro, Marimon, Beatriz S., Junior, Ben Hur Marimon, Marshall, Andrew R., Morandi, Paulo S., Mukendi, John Tshibamba, Mukinzi, Jaques, Nilus, Reuben, Vargas, Percy Núñez, Camacho, Nadir C. Pallqui, Pardo, Guido, Peña-Claros, Marielos, Pétronelli, Pascal, Pickavance, Georgia C., Poulsen, Axel Dalberg, Poulsen, John R., Primack, Richard B., Priyadi, Hari, Quesada, Carlos A., Reitsma, Jan, Réjou-Méchain, Maxime, Restrepo, Zorayda, Rutishauser, Ervan, Salim, Kamariah Abu, Salomão, Rafael P., Samsoedin, Ismayadi, Sheil, Douglas, Sierra, Rodrigo, Silveira, Marcos, Slik, J. W. Ferry, Steel, Lisa, Taedoumg, Hermann, Tan, Sylvester, Terborgh, John W., Thomas, Sean C., Toledo, Marisol, Umunay, Peter M., Gamarra, Luis Valenzuela, Vieira, Ima Célia Guimarães, Vos, Vincent A., Wang, Ophelia, Willcock, Simon, Zemagho, Lise
    Publicado 2017
    “…Tropical forests are global centres of biodiversity and carbon storage. …”
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    Diversity and carbon storage across the tropical forest biome
  9. 929
    “…BACKGROUND: Tropical forests cover less than 10 per cent of all land area (1.8 × 107 km(2)) and over half of the tropical-forest area (1.1 × 107 Km(2)) is represented by humid tropical forests (also called tropical rainforests). …”
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    Climate change, allergy and asthma, and the role of tropical forests
  10. 930
    “…This study provides an exemplar framework which can be used to help understand the effect of a pathogen on forest management strategies.…”
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    The effects of invasive pests and pathogens on strategies for forest diversification
  11. 931
    por Wang, Kai, Liang, Chun
    Publicado 2017
    “…Here we developed a new web-based CRISPR detection tool named CRF (CRISPR Finder by Random Forest). Different from other CRISPR detection tools, a random forest classifier was used in CRF to filter out invalid CRISPR arrays from all putative candidates and accordingly enhanced detection accuracy. …”
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    CRF: detection of CRISPR arrays using random forest
  12. 932
    por Slot, Martijn, Winter, Klaus
    Publicado 2017
    “…Tropical forests have a mitigating effect on man-made climate change by acting as a carbon sink. …”
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    Photosynthetic acclimation to warming in tropical forest tree seedlings
  13. 933
    “…Spatial processing is lateralized: the right hemisphere is optimized for perceiving global aspects of space (“seeing the forest”), while the left hemisphere specializes in perceiving local aspects of space (“seeing the trees”). …”
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    The Right Hand Draws the Trees, But the Left Draws the Forest?
  14. 934
    “…We assessed differences in bat species abundance between the wet and dry season in a fragmented landscape in the Central Amazon characterized by primary forest fragments embedded in a secondary forest matrix. …”
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    Season‐modulated responses of Neotropical bats to forest fragmentation
  15. 935
    “…We wrote the simple ruby-based script FORESTER version 1.0 that helps represent a binary matrix as an array of the rooted trees (as a “Hennigian forest”). …”
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    A laid-back trip through the Hennigian Forests
  16. 936
    “…There is, however, a clear association between the trends of the loss of forests and the presence of the tick. This parameter was two times higher at sites colonized by D. reticulatus in comparison to the sites where the population of the tick is not yet established. …”
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    Spread of Dermacentor reticulatus is associated with the loss of forest area
  17. 937
    “…To incorporate the heterogeneity idea in the commonly used ensemble based predictive model of Random Forests, we propose Heterogeneity Aware Random Forests (HARF) that assigns weights to the trees based on the category of the sample. …”
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    Heterogeneity Aware Random Forest for Drug Sensitivity Prediction
  18. 938
    “…Genetic data usually contain hundreds of thousands of genetic markers genotyped for thousands of individuals, making an efficient means for handling such data desirable. RESULTS: Random Forests (RFs) has emerged as an efficient algorithm capable of handling high-dimensional data. …”
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    Cluster ensemble based on Random Forests for genetic data
  19. 939
    “…Soil samples were collected from remaining four forests in the two islands. The resident ECM roots in soil samples were subjected to molecular identification. …”
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    Ectomycorrhizal fungal communities in endangered Pinus amamiana forests
  20. 940
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    Survival analysis and classification methods for forest fire size
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