Search results for "forêt tropicale"

showing 4 items of 4 documents

Effect of inoculation with selected Bradyrhizobium spp. on the survival and growth of Acacia mangium saplings after 20 months in the field

1999

This work was designed to test the long-term effect of the inoculation of #Acacia mangium# seedlings with 10 selected strains of #Bradyrhizobium spp.#. The percentage of survival of seedlings inoculated with any of the #Bradyrhizobium# strains was increased by 10% as compared to the control plants. However, out of the 10 #Bradyrhizobium# strains tested, only 3 strains, Aust l3c, Lu 4 and Tel 8, belonging to the phylogenelic group 1, significandy enhanced the growth of #A. mangium# after 20 months in the field. For the first time, inoculation with indigenous Malaysian strains #Bradyrhizobium# such as Tel 8 and Lu 4 at the seedling stage is reported to produce enhanced and sustained growth an…

GraineFixation de l'azote[SDE] Environmental SciencesPhylogéniehttp://aims.fao.org/aos/agrovoc/c_27138[SDV]Life Sciences [q-bio]Imperata cylindricaF30 - Génétique et amélioration des planteshttp://aims.fao.org/aos/agrovoc/c_24765InoculationF03 - Production et traitement des semencesBradyrhizobiumForêt tropicale humideGénétiquehttp://aims.fao.org/aos/agrovoc/c_13325http://aims.fao.org/aos/agrovoc/c_3048http://aims.fao.org/aos/agrovoc/c_3222Méthode statistiquehttp://aims.fao.org/aos/agrovoc/c_3879Plantation forestière[SDV] Life Sciences [q-bio]http://aims.fao.org/aos/agrovoc/c_7976Acacia mangiumChoix des espèces[SDE]Environmental Scienceshttp://aims.fao.org/aos/agrovoc/c_6946http://aims.fao.org/aos/agrovoc/c_5196http://aims.fao.org/aos/agrovoc/c_42http://aims.fao.org/aos/agrovoc/c_33964http://aims.fao.org/aos/agrovoc/c_7377
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Fragmentation des habitats et interactions hôtes-parasites

2021

Habitat fragmentation is one of the main threats to global biodiversity and despite an abundant literature on the impact of fragmentation on species abundance and diversity, the consequences of this global change in terms of ecological and evolutionary processes remain poorly understood. Beyond their direct contribution to biodiversity, as species-rich category of organisms, parasites could be involved in biodiversity change as key actors of ecological and evolutionary processes. The present work aims to understand the effect of forest fragmentation on host-parasite interactions. It is based on a large sampling carried out in the Lesser Antilles and in French Guiana, and allowing the obtent…

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesParasite prevalencePopulation geneticsApparent competitionLandscape structureCompétition apparenteStructure du paysageTropical forestGénétique des populationsEcological networksForêt tropicalePrévalence parasitaireRéseaux écologiques
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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity

2015

High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high- and low- spatial-resolution satellites is thought a key factor for studies that require dense time series of high-resolution images, e.g., crop monitoring. There are several fusion methods in the bibliography, but they are time-consuming and complicated to implement. Moreover, the local evaluation of the fused images is rarely analyzed. In this paper, we present a simple and fast fusion method based on a weighted average of two in…

TeledeteccióComputer scienceforêt tropicalehttp://aims.fao.org/aos/agrovoc/c_714remote sensingSimple (abstract algebra)K01 - Foresterie - Considérations généralesBiomassehttp://aims.fao.org/aos/agrovoc/c_6498validationUtilisation des terresEucalyptusFusionQhttp://aims.fao.org/aos/agrovoc/c_14093http://aims.fao.org/aos/agrovoc/c_9000094Plantation forestièreséquestration du carbonehttp://aims.fao.org/aos/agrovoc/c_926http://aims.fao.org/aos/agrovoc/c_1070http://aims.fao.org/aos/agrovoc/c_25409http://aims.fao.org/aos/agrovoc/c_4182P01 - Conservation de la nature et ressources foncièresSpectrométriePhénologiehttp://aims.fao.org/aos/agrovoc/c_2683TélédétectionScienceImage (mathematics)Cartographie de l'occupation du solhttp://aims.fao.org/aos/agrovoc/c_24904TermodinàmicaCouverture végétalehttp://aims.fao.org/aos/agrovoc/c_7283http://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_8176http://aims.fao.org/aos/agrovoc/c_3048MODIS; Landsat; validation; remote sensingRemote sensingChangement climatiqueSeries (mathematics)business.industryCiències de la terraPattern recognitionVégétationhttp://aims.fao.org/aos/agrovoc/c_331583Constraint (information theory)http://aims.fao.org/aos/agrovoc/c_5774SpectroradiometerMODISSatelliteGeneral Earth and Planetary SciencesArtificial intelligenceU30 - Méthodes de recherchebusinessLandsatRemote Sensing; Volume 7; Issue 1; Pages: 704-724
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