Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Optimal Foraging00:48

Optimal Foraging

13.6K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.6K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

281
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
281
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

9
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
9
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

249
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
249
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

282
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
282
Survival Tree01:19

Survival Tree

382
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
382

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Surveillance and Epidemiological Characteristics of Enterohemorrhagic <i>Escherichia coli</i> (EHEC) Infection in the Republic of Korea.

Public health weekly report·2026
Same author

Erratum: Guidelines for the Use of Botulinum Toxin in Otolaryngology From the Korean Society of Laryngology, Phoniatrics and Logopedics Guideline Task Force.

Clinical and experimental otorhinolaryngology·2026
Same author

Understanding Spaceflight-Induced Oxidative Stress and the Critical Role of Diet and Microbiome.

Antioxidants (Basel, Switzerland)·2026
Same author

A Pathomics-Based Prognostic Model for Disease-Free Survival in Resected Gastric Cancer.

Cancers·2026
Same author

Electrochemiluminescence Biosensing Platform Based on CRISPR/Cas12a and DNA Nanotweezer-Mediated Catalytic Hairpin Assembly Amplification.

Analytical chemistry·2026
Same author

Effects of Isolated Pea Protein on Extrusion-Induced Gelation and Gel-like Network Formation in Low-Moisture Meat Analog Systems.

Gels (Basel, Switzerland)·2026
Same journal

Spatial patterns of climatic and ecological effects of photovoltaic power plants in Northwest China.

Journal of environmental management·2026
Same journal

Spatiotemporal response of urban bike-sharing ridership to weather, air quality, and future climate change in major U.S. cities.

Journal of environmental management·2026
Same journal

Urbanisation impacts avian biodiversity on stream ecosystems - insights from a large geographical scale.

Journal of environmental management·2026
Same journal

How green is hydrogen production? A unified life cycle carbon accounting framework and dynamic standard optimization across major economies.

Journal of environmental management·2026
Same journal

Energy-efficient pulsed photocatalysis with engineered biochar-ferrite nanocomposites for the reductive degradation of chlortoluron in water.

Journal of environmental management·2026
Same journal

Divergent biodiversity responses of multitrophic aquatic communities to hydrological connectivity and land-use intensity gradients.

Journal of environmental management·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Jan 14, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

466

Integración de la modelización sustituta basada en aprendizaje profundo en la optimización de la asignación de

Da Seul Kim1, Dong Kun Lee2, Eun Sub Kim3

  • 1Department of Landscape Architecture and Rural System Engineering, Seoul National University, Seoul, Republic of Korea.

Journal of environmental management
|January 12, 2026
PubMed
Resumen
Este resumen es generado por máquina.

La optimización de la forestación urbana mediante un marco de aprendizaje profundo maximiza la captura de carbono. La plantación estratégica cerca de los bosques existentes mejora la Productividad Primaria Neta (NPP) y la conectividad del paisaje para la mitigación del clima.

Palabras clave:
optimización mediante algoritmo genéticosolución basada en la naturalezaproductividad primaria neta (NPP)sistema de apoyo a la toma de decisiones espacialesaforestación urbana

Más Videos Relacionados

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K

Videos de Experimentos Relacionados

Last Updated: Jan 14, 2026

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

466
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.4K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.7K

Área de la Ciencia:

  • Ecología urbana; Mitigación del cambio climático; Análisis geoespacial

Sus antecedentes:

  • La forestación urbana es crucial para la captura de carbono, pero las estrategias actuales a menudo ignoran las variaciones espaciales y las conexiones ecológicas.; Los objetivos de expansión de área pueden no ser el enfoque más eficaz para maximizar la absorción de carbono.

Objetivo del estudio:

  • Desarrollar y aplicar un marco de optimización integrado para la forestación urbana.; Maximizar la Productividad Primaria Neta (NPP) y la captura de carbono en entornos urbanos.; Mejorar la conectividad ecológica a través de la planificación estratégica de infraestructuras verdes.

Principales métodos:

  • Se desarrolló un modelo sustituto de aprendizaje profundo que combina una Red Neuronal Artificial (ANN) y un Algoritmo Genético (GA).; Se entrenó la ANN con variables topográficas, climáticas, de uso del suelo y del paisaje para predecir la NPP.; Se utilizaron SHapley Additive exPlanations (SHAP) para la importancia de los factores y GA para la optimización de parches de forestación.

Principales resultados:

  • El modelo ANN predijo con precisión la NPP (R²=0.82 en datos de prueba).; Se identificó la proximidad a los bosques existentes como un factor clave para la mejora de la NPP.; La optimización GA mostró que la forestación cerca de los espacios verdes aumentó significativamente la NPP a través de una mejor conectividad.

Conclusiones:

  • El marco basado en datos optimiza eficazmente la forestación urbana para la captura de carbono.; La colocación estratégica de la forestación, priorizando la conectividad ecológica, es más eficiente que la simple expansión de área.; Este enfoque apoya la planificación adaptativa de infraestructuras verdes urbanas para un futuro neutro en carbono.