Resultados de búsqueda - distribution spatiale

Uso de parasitoides en el control biológico de insectos plaga en Colombia por Löhr, Bernhard, Díaz Niño, María Fernanda, Manzano Martínez, María del Rosario, Narváez Vásquez, Consuelo Alexandra, Gómez Jiménez, María Isabel, Carabalí Muñoz, Arturo, Vargas, Germán, Kondo, Takumasa, Bustillo Pardey, Alex Enrique

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Hongos micorrízicos arbusculares (HMA) en bosques secos tropicales (BST) afectados por fuego y depósitos fluviovolcánicos en el departamento del Tolima, Colombia por Devia Grimaldo, Laura Daniela, Perez Moncaa, Urley Adrian, Lopez D, Edwin Orlando, Varon Lopez, Maryeimy

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Desempeño de la fotosíntesis y disminución en el potencial hídrico de las hojas de Lima Tahití afectadas por Wood pocket por Rodriguez Polanco, Leonora, Garcia Lozano, Jairo, Orduz Rodriguez, Javier Orlando

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Modelling stream flow and quantifying blue water using a modified STREAM model for a heterogeneous, highly utilized and data-scarce river basin in Africa por Kiptala, J.K., Mul, Marloes L., Mohamed, Y., Zaag, P. van der

“…Physically based, spatially distributed models are often used to generate this kind of information. …”
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Epidemiology of Bovine Neosporosis in Relation to Socioeconomic, Demographic, and Transmissibility Factors in Dual-Purpose Production Systems in Colombia por Murcia Mono, Cesar A., Falla Tapias, Sergio, Cabrera Ospina, Britney K., Vargas Domínguez, Jahir O., Burgos Paz, William O.

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The added value of high-resolution above coarse-resolution remote sensing images in crop yield forecasting: A case study in the Egyptian Nile Delta por Droogers, Peter, Dam, Jos C. van, Simons, G., Voogt, M., Terink, W.

“…Since crop yield forecasting applications are often applied over large areas that rely on a spatially distributed crop growth model, the uncertainty in the spatial variation of the input data increases. …”
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Vigilancia científica sobre procesos de gestión de información agroclimática por Cárdenas Solano, Leidy Johanna, Contreras Pedraza, Carlos Alberto

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Synergies and trade-offs between ecosystem services in Costa Rica por Locatelli, Bruno, Imbach, Pablo A., Wunder, Sven

“…Services have different spatial distributions but are positively correlated. …”
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Synergies and trade-offs between ecosystem services in Costa Rica por Locatelli, Bruno, Imbach, P. A, Wunder, Sven

“…Services have different spatial distributions but are positively correlated. …”
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Arf6 anchors Cdr2 nodes at the cell cortex to control cell size at division por Opalko, Hannah E., Miller, Kristi E., Kim, Hyun Soo, Vargas Garcia, Cesar Augusto, Singh, Abhyudai, Keogh, Michael Christopher, Moseley, James B.

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Mapping the risky returns to smallholder fertilizer investments in Africa por Gebrekidan, Bisrat, Chamberlin, Jordan, Mkondwa, Maxwell, Silva, Joao Vasco, Hijmans, Robert

“…We integrate georeferenced maize fertilizer trial responses with spatial data on soils, long-run rainfall variability, remotely sensed vegetation, and locally differentiated input and output prices to characterize the full distributions of fertilizer returns across space. …”
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Application of models with different types of modelling methodologies for river flow forecasting por Hapuarachchi, H.A.P., Zhijia, L., Flügel, Wolfgang-Albert

“…The Xinanjiang watershed model has been used as a conceptual watershed model and the SWAT model (Neitsch, 2000) has been used with spatial data as a distributed model. Two types of ANN architectures, namely multi-layer perceptron network (MLP) and radial basis function network (RBF) have been implemented as "black box" type modelling methodology. …”
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El control biológico en el contexto de un manejo integrado estratégico de insectos plaga por Rincón, Diego F., Espitia, Eduardo M., Hoy, Casey W.

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Equity in ecosystem restoration por Wells, H. B. M., Kirobi, E. H., Chen, C. L., Winowiecki, Leigh Ann, Vågen, Tor-Gunnar, Ahmad, M.N., Stringer, L. C., Dougill, A. J.

“…We use questionnaires and semi-structured key informant interviews to explore four dimensions of equity: distributional, procedural, recognitional, and contextual. …”
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Supplementary datasets for: State of ex situ conservation of landrace groups of twenty-five major crops por Ramírez Villegas, Julián Armando, Khoury, Colin K., Achicanoy Estrella, Harold Armando, Díaz, Maria Victoria, Mendez, Andres, Sosa, Chrystian C

“…This dataset was used to test the power of ecogeographic (spatial) information in distinguishing the various landrace groups within a crop (using the 50 ecogeographic spatial predictors, compiled in Ramirez-Villegas et al. 2020). …”
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Estimating landscape susceptibility to soil erosion using a GIS-based approach in Northern Ethiopia por Tamene, Lulseged D., Adimassu, Zenebe, Aynekulu, Ermias, Yaekob, Tesfaye

“…As it is technically and financially impossible to conserve all landscapes affected by erosion, identification of priority areas of intervention is necessary. Spatially distributed erosion models can help map landscape susceptibility to erosion and identify high erosion risk areas. …”
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Water sufficiency for cacao production in the Sierra Nevada de Santa Marta (SNSM) region, Colombia por Valencia Gómez, Jefferson, Frankenberger, Jane, Cherkauer, Keith, Martin López, Javier Mauricio, Monserrate Rojas, Fredy Alexander, Silva, Mayesse Aparecida da

“…We elaborated site-specific and spatially-distributed analyses to generate information that will be shared with technicians who assist cacao growers in the SNSM. …”
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A gap analysis modelling framework to prioritize collecting for ex situ conservation of crop landraces por Ramírez Villegas, Julián, Khoury, Colin K., Achicanoy, Harold A., Méndez, Andres C., Díaz, Maria Victoria, Sosa, Chrystian C., Debouck, Daniel G., Kehel, Zakaria, Guarino, Luigi

“…The degree of representation of crop landrace diversity in ex situ conservation is poorly under-stood, partly due to a lack of methods that can negotiate both the anthropogenic and environmental determinants of their geographic distributions. Here, we describe a novel spatial modelling and ex situ conservation gap analysis modelling framework for crop landraces, using common bean (Phaseolus vulgaris L.) as a case study.Location: The Americas.Methods: The modelling framework includes five main steps: (a) determining relevant landrace groups using literature to develop and test classification models; (b) model-ling the potential geographic distributions of these groups using occurrence (landrace presences) combined with environmental and socioeconomic predictor data; (c) cal-culating geographic and environmental gap scores for current genebank collections; (d) mapping ex situ conservation gaps; and (e) compiling expert inputs.Results: Modelled distributions and conservation gaps for the two genepools of com-mon bean (Andean and Mesoamerican) were robustly predicted and align well with expert opinions. …”
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Multifractal downscaling of rainfall using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau por Duffaut Espinosa, L.A., Posadas, A., Carbajal, M., Quiróz, R.

“…The results were validated against on-site measurements of meteorological stations distributed in the area under study.…”
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Scales and power in river basin management: the Chao Phraya River in Thailand por Molle, Francois

“…Interventions on hydro/ecological systems by different categories of stakeholders characterised by different political, decision-making and discursive power, and varied access to resources, tend to generate costs, benefits and risks that are distributed unevenly across spatial and temporal scales and across social groups. …”
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