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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

50
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...
50
Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.7K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.7K
Ecological Niches02:02

Ecological Niches

23.7K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
23.7K
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

25.6K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.6K
Habitat Fragmentation02:31

Habitat Fragmentation

17.5K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
17.5K
Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

169
As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
There are multiple approaches to achieve sustainability in a commercial concrete building. For instance, construct a concrete parking area under the building, utilizing pervious concrete paver blocks in open areas to facilitate rainwater collection through an underground...
169

You might also read

Related Articles

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

Sort by
Same author

Evaluation of Chronic Disease Prevention and Control Public Service Advertisement on the Awareness and Attitude Change among Urban Population in Chongqing, China: A Cross-Sectional Study.

International journal of environmental research and public health·2017
Same author

A transfer learning approach to goodness of pronunciation based automatic mispronunciation detection.

The Journal of the Acoustical Society of America·2017
Same author

Lightweight, Mesoporous, and Highly Absorptive All-Nanofiber Aerogel for Efficient Solar Steam Generation.

ACS applied materials & interfaces·2017
Same author

The antioxidant effects of riluzole on the APRE-19 celll model injury-induced by t-BHP.

BMC ophthalmology·2017
Same author

Nischarin-siRNA delivered by polyethylenimine-alginate nanoparticles accelerates motor function recovery after spinal cord injury.

Neural regeneration research·2017
Same author

Magnetron Sputtering Deposition Cu@Onion-like N-C as High-Performance Electrocatalysts for Oxygen Reduction Reaction.

ACS applied materials & interfaces·2017

Related Experiment Video

Updated: Jul 9, 2025

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

13.0K

Thriving arid oasis urban agglomerations: Optimizing ecosystem services pattern under future climate change scenarios

Hao Huang1, Jie Xue2, Xinlong Feng3

  • 1College of Mathematics and System Science, Xinjiang University, Urumqi, 830046, China; State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, Xinjiang, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele, 848300, Xinjiang, China.

Journal of Environmental Management
|November 30, 2023
PubMed
Summary

Global climate change impacts arid urban ecosystem services. A novel framework predicts land use change and optimizes ecosystem services, guiding ecological protection and land use planning in Xinjiang.

Keywords:
Climate changeDynamic bayesian networkEcosystem service optimizationPLUS modelUncertaintyUrban agglomeration

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

Related Experiment Videos

Last Updated: Jul 9, 2025

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

13.0K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.3K

Area of Science:

  • Environmental Science
  • Ecology
  • Climate Change Research

Background:

  • Global climate change and human activities significantly threaten ecosystem services (ESs), especially in arid urban areas.
  • Urban agglomerations in arid regions face unique challenges in balancing development and ecological sustainability.

Purpose of the Study:

  • To develop and apply an integrated framework for predicting land use change and optimizing ESs spatial patterns under future climate scenarios.
  • To assess the impacts of climate change and human activities on ESs in the oasis urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM).

Main Methods:

  • Integration of dynamic Bayesian network (DBN), system dynamics (SD), Patch-generating Land Use Simulation (PLUS), and Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) models.
  • Utilized SSP-RCP scenarios from CMIP6 for future land use and ESs predictions.
  • Validated SD and PLUS models for land use forecasting and DBN for ESs relationship simulation.

Main Results:

  • SD and PLUS models accurately forecasted land use distribution (SD relative error < 2.32%, PLUS Kappa coefficient = 0.89).
  • Future land use in UANSTM is characterized by expansion of cultivated and construction land, showing spatial heterogeneity.
  • DBN model effectively simulated ESs relationships with low classification error rates for Net Primary Productivity (NPP), Habitat Quality (HQ), Water Yield (WY), and Soil Retention (SR).

Conclusions:

  • The integrated framework provides accurate predictions for land use change and ESs optimization in arid urban areas.
  • Natural factors predominantly influence most ESs in UANSTM, with socio-economic development having a lesser role.
  • Findings offer crucial insights for ecological protection and land use planning in arid urban agglomerations globally.