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Dynamique des élevages pastoraux et agropastoraux en Afrique intertropicale

Authors: --- --- --- --- et al.
ISBN: 9782759228959 Year: Pages: 268 DOI: 10.35690/978-2-7592-2895-9 Language: French
Publisher: éditions Quae
Subject: Agriculture (General)
Added to DOAB on : 2019-11-10 11:21:07
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Abstract

De 1974 à 2014, l’Afrique intertropicale a connu une croissance inédite des effectifs des herbivores domestiques. Les effectifs bovins ont été multipliés par plus de 2, ceux des petits ruminants par plus de 3. Aujourd’hui, la région regroupe environ 20 % des bovins et des ovins, 33 % des caprins et 81 % des dromadaires élevés sur la planète. Soit un cheptel de près de 900 millions de têtes. L’ouvrage est axé sur la dynamique des élevages des ruminants et des équidés en Afrique intertropicale. Il décrit les différents systèmes d’élevage rencontrés en zones aride et subhumide et les ressources alimentaires disponibles ; il aborde les impacts locaux et globaux des élevages des herbivores sur l’environnement. Le rôle socio-économique majeur des activités autour des animaux et de leurs produits, et la demande croissante en viande et lait des consommateurs sont soulignés. Une organisation efficace des filières bétail-viande est rapportée, alors que des contraintes à la mise en place d’une industrie laitière persistent. Pour de nombreuses familles vivant proches du seuil de pauvreté, l’élevage est un facteur de réduction de la vulnérabilité. Divers services qui permettraient un développement durable des élevages sont décrits. Cependant, les modes de financements et les suivis des impacts socio-économiques et environnementaux devront évoluer.

Horse Feeding and Management

Authors: --- ---
ISBN: 9783039285525 / 9783039285532 Year: Pages: 195 DOI: 10.3390/books978-3-03928-553-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2020-06-09 16:38:57
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Horses perform variety of roles in our society, serving people in several ways. Proper nutrition and feeding management are some of the main objectives to ensure the well-being and performance of horses. Thus, the link between equine health and good dietary treatment must be recognized to increase our understanding of the needs of the horse. It is important to ensure science-based knowledge is available to all stakeholders and people working in the horse industry. This book presents research papers published in the Special Issue of Animals entitled ‘Horse Nutrition and Management’.

Remote Sensing of Above Ground Biomass

Authors: ---
ISBN: 9783039212095 9783039212101 Year: Pages: 264 DOI: 10.3390/books978-3-03921-210-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.

Keywords

multi-angle remote sensing --- forest structure information --- vegetation indices --- forest biomass --- Bidirectional Reflectance Distribution Factor --- biomass --- yield --- AquaCrop model --- spectral index --- particle swarm optimization --- winter wheat --- TerraSAR-X --- Landsat --- pasture biomass --- Wambiana grazing trial --- foliage projective cover --- fractional vegetation cover --- ALOS2 --- mixed forest --- biomass --- lidar --- NDVI --- grass biomass --- SPLSR --- vegetation indices --- estimation accuracy --- pasture biomass --- ground-based remote sensing --- ultrasonic sensor --- field spectrometry --- sensor fusion --- short grass --- alpine grassland conservation --- anthropogenic disturbance --- ecological policies --- climate change --- grazing exclusion --- grazing management --- regional sustainability --- rice --- biomass --- dry matter index --- chlorophyll index --- CIRed-edge --- NDLMA --- forest above ground biomass (AGB) --- random forest --- mapping --- alpine meadow grassland --- above-ground biomass --- inversion model --- error analysis --- applicability evaluation --- Land Surface Phenology --- wetlands --- above ground biomass --- NDVI --- MODIS time series --- food security --- Sahel --- Niger --- rangeland productivity --- livestock --- MODIS --- NDVI --- aboveground biomass --- Atriplex nummularia --- carbon mitigation --- carbon inventory --- forage crops --- remote sensing --- vegetation index --- stem volume --- dry biomass --- conifer --- broadleaves --- light detection and ranging (LiDAR) --- regression analysis --- correlation coefficient --- n/a

The Long-Term Perspective of Human Impact on Landscape for Environmental Change and Sustainability

Authors: ---
ISBN: 9783039217960 9783039217977 Year: Pages: 258 DOI: 10.3390/books978-3-03921-797-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Environmental Sciences
Added to DOAB on : 2019-12-09 11:49:16
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The research studies included in this Special Issue highlight the fundamental contribution of the knowledge of environmental history to conscious and efficient environment conservation and management. The long-term perspective of the dynamics that govern the human–climate ecosystem is becoming one of the main focuses of interest in biological and earth system sciences. Multidisciplinary bio-geo-archaeo investigations into the underlying processes of human impact on the landscape are crucial to envisage possible future scenarios of biosphere responses to global warming and biodiversity losses. This Special Issue seeks to engage an interdisciplinary dialog on the dynamic interactions between nature and society, focusing on long-term environmental data as an essential tool for better-informed landscape management decisions to achieve an equilibrium between conservation and sustainable resource exploitation.

Current Advances in Meat Nutritional, Sensory and Physical Quality Improvement

Authors: ---
ISBN: 9783039286904 / 9783039286911 Year: Pages: 236 DOI: 10.3390/books978-3-03928-691-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2020-06-09 16:38:57
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Within the idea and objective of bringing together original studies dealing with the continuum aspects of meat, i.e., from farm to fork, this book grouped papers on the study of the nutritional, sensory, and technological aspects of carcass, muscle, meat, and meat-product qualities. This nook highlights a great part of the research activities in the field of meat science. A total of 14 original studies and one comprehensive review were edited within five main topics: (i) production systems and rearing practices, (ii) prediction of meat quality, (iii) statistical approaches for meat quality prediction/management, (iv) muscle biochemistry and proteomics techniques, and (v) consumer acceptability, development, and characterization of meat products.

Keywords

pre-weaning period --- fattening period --- growth period --- meat sensory properties --- rearing managements --- rearing surveys --- male and female turkeys --- breeders --- broilers --- carcass --- meat --- nutritional --- sensorial and technological quality --- muscle proteins --- one-dimensional electrophoresis --- bovine proteomics --- LC-MS/MS --- sample preparation --- skeletal muscle --- fetus --- bovine --- extracellular matrix --- immunohistology --- consumer --- sensory acceptability --- dry-cured belly --- pancetta --- pig --- boar taint --- suckling cattle --- cull cow --- meat quality --- finishing practices --- farm survey --- rearing managements --- chuck sale section --- meat sensory properties --- meat rheological properties --- color attributes --- longissimus muscle --- complexus muscle --- infraspinatus muscle --- rhomboideus muscle --- serratus ventralis muscle --- beef quality --- castration --- breed --- shear force --- intramuscular fat --- trade-off --- meat quality --- beef performances --- modeling --- predictive model --- tenderness --- meat --- biomarker --- calpain --- h2afx --- grass-fed --- young bulls --- nutritional quality --- tenderness --- carcass characteristics --- pasture --- beef tenderness --- machine learning --- farm-to-fork --- carcass --- rearing practices --- decision trees --- cows --- natural antioxidant --- phenol --- malondialdehyde --- processed meat --- Folin-Ciocalteu --- meat --- quality --- prediction --- biological marker --- spectroscopy --- phenotypic model --- meat --- quality --- near-infrared spectroscopy --- on-line --- monitoring --- meat science --- carcass and meat qualities --- sensory and technological quality --- muscle biochemistry --- statistical tools for meat quality prediction --- OMICs tools --- production systems

Google Earth Engine Applications

Authors: ---
ISBN: 9783038978848 9783038978855 Year: Pages: 420 DOI: 10.3390/books978-3-03897-885-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Environmental Technology
Added to DOAB on : 2019-04-25 16:37:17
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In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Keywords

Google Earth Engine --- NDVI --- vegetation index --- Landsat --- remote sensing --- phenology --- surface reflectance --- cropland mapping --- cropland areas --- 30-m --- Landsat-8 --- Sentinel-2 --- Random Forest --- Support Vector Machines --- segmentation --- RHSeg --- Google Earth Engine --- Africa --- remote sensing --- semi-arid --- ecosystem assessment --- land use change --- image classification --- seasonal vegetation --- carbon cycle --- Google Earth Engine --- crop yield --- gross primary productivity (GPP) --- data fusion --- Landsat --- MODIS --- MODIS --- Random Forest --- pasture mapping --- Brazilian pasturelands dynamics --- Google Earth Engine --- crop classification --- multi-classifier --- cloud computing --- time series --- high spatial resolution --- BACI --- Enhanced Vegetation Index --- Google Earth Engine --- cloud-based geo-processing --- satellite-derived bathymetry --- image composition --- pseudo-invariant features --- sun glint correction --- empirical --- spatial error --- Google Earth Engine --- low cost in situ --- Sentinel-2 --- Mediterranean --- burn severity --- change detection --- Landsat --- dNBR --- RdNBR --- RBR --- composite burn index (CBI) --- MTBS --- lower mekong basin --- landsat collection --- suspended sediment concentration --- online application --- google earth engine --- Landsat --- Google Earth Engine --- protected area --- forest and land use mapping --- machine learning classification --- China --- temporal compositing --- image time series --- multitemporal analysis --- change detection --- cloud masking --- Landsat-8 --- Google Earth Engine (GEE) --- Google Earth Engine --- LAI --- FVC --- FAPAR --- CWC --- plant traits --- random forests --- PROSAIL --- small-scale mining --- industrial mining --- google engine --- image classification --- land-use cover change --- seagrass --- habitat mapping --- image composition --- machine learning --- support vector machines --- Google Earth Engine --- Sentinel-2 --- Aegean --- Ionian --- global scale --- soil moisture --- Soil Moisture Ocean Salinity --- Soil Moisture Active Passive --- Google Earth Engine --- drought --- cloud computing --- remote sensing --- snow hydrology --- water resources --- Google Earth Engine --- user assessment --- MODIS --- snow cover --- flood --- disaster prevention --- emergency response --- decision making --- Google Earth Engine --- land cover --- deforestation --- Brazilian Amazon --- Bayesian statistics --- BULC-U --- Mato Grosso --- spatial resolution --- Landsat --- GlobCover --- SDG --- surface urban heat island --- Geo Big Data --- Google Earth Engine --- global monitoring service --- Google Earth Engine --- web portal --- satellite imagery --- trends --- earth observation --- wetland --- Google Earth Engine --- Sentinel-1 --- Sentinel-2 --- random forest --- cloud computing --- geo-big data --- cloud computing --- big data analytics --- long term monitoring --- data archival --- early warning systems

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