Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Location and Orientation of the Heart01:13

Location and Orientation of the Heart

10.7K
The human heart, despite its modest size and weight, is an organ of remarkable strength and endurance. Roughly the size of a fist, the heart weighs between 250 and 350 grams and is nestled within the mediastinum, the medial cavity of the thorax. It extends obliquely for about 12 to 14 cm, resting on the superior surface of the diaphragm. The heart is positioned anterior to the vertebral column and posterior to the sternum, with two-thirds of its mass lying to the left of the midsternal line.
10.7K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

279
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
279
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

572
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
572
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

961
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
961

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assessment of various assisted migration approaches to determine the highest performance in Pinus halepensis seed sources.

The Science of the total environment·2025
Same author

High-resolution spatially interpolated FAO Penman-Monteith crop reference evapotranspiration maps of Sicily Island (Italy) and Jucar River system (Spain) using AgERA5 and ERA5-Land reanalysis datasets.

Journal of hydrology. Regional studies·2025
Same author

Impact of a transformation from flood to drip irrigation on groundwater recharge and nitrogen leaching under variable climatic conditions.

The Science of the total environment·2022
Same author

Limited contribution of post-fire eco-engineering techniques to support post-fire plant diversity.

The Science of the total environment·2022
Same author

Assessing reforestation failure at the project scale: The margin for technical improvement under harsh conditions. A case study in a Mediterranean Dryland.

The Science of the total environment·2021
Same author

Responses of forest carbon and water coupling to thinning treatments from leaf to stand scales in a young montane pine forest.

Carbon balance and management·2020

Related Experiment Video

Updated: Feb 10, 2026

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

11.4K

Hydrology-oriented forest management trade-offs. A modeling framework coupling field data, simulation results and

Alberto Garcia-Prats1, María González-Sanchis1, Antonio D Del Campo1

  • 1Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Camino de Vera s/n. 46022, Valencia, Spain.

The Science of the Total Environment
|May 27, 2018
PubMed
Summary

Hydrology-oriented forest management enhances water availability in Mediterranean forests by reducing interception. This boosts vegetation carbon sequestration and soil carbon content without nutrient loss.

Keywords:
Bayesian Network modelingBiome-BGCMuSo modelHydrology-oriented forest management

More Related Videos

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.5K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

Related Experiment Videos

Last Updated: Feb 10, 2026

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations
10:30

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

11.4K
Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.5K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

Area of Science:

  • Forestry science
  • Ecosystem modeling
  • Hydrology

Background:

  • Water is a critical limiting factor in Mediterranean forest ecosystems, necessitating adaptive management strategies.
  • Hydrology-oriented forest management prioritizes water as a key factor for ecosystem resilience and adaptation.

Purpose of the Study:

  • To assess the indirect effects and trade-offs of hydrology-oriented forest management in a Mediterranean ecosystem.
  • To model the impacts on water, carbon, and nitrogen cycles, and forest fire risk.

Main Methods:

  • Utilized Bayesian Network modeling integrated with the Biome-BGCMuSo model.
  • Calibrated and validated models with field data from experimental plots.
  • Simulated 50-year scenarios to build the Bayesian Network.

Main Results:

  • Reduced interception increased water availability, boosting evapotranspiration and soil water content.
  • Increased soil organic carbon led to greater respiration.
  • Enhanced water and nutrient availability improved tree vigor, increasing Leaf Area Index (LAI), Gross Primary Production (GPP), and vegetation carbon.

Conclusions:

  • Hydrology-oriented forest management positively impacts water availability and carbon sequestration in Mediterranean forests.
  • The management strategy enhances ecosystem vigor and carbon storage without compromising nutrient levels.
  • Bayesian Network modeling provides a robust framework for evaluating complex ecosystem management trade-offs.