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Updated: May 9, 2026

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration

Published on: June 7, 2024

Ecosystem conservation and management: A theoretical framework using biocultural diversity.

Azam Khosravi Mashizi¹, Mohsen Sharafatmandrad¹

¹Department of Ecological Engineering, Faculty of Natural Resources, University of Jiroft, 8th km of Jiroft - Bandar Abbas road, 7867161167, Jiroft, Iran.

Journal of Environmental Management

|May 7, 2026

Summary

This study developed a new framework to map biocultural diversity, integrating ecological and cultural factors for conservation planning. Findings highlight forests as key areas for biocultural conservation and identify critical drivers like elevation and urbanization.

Keywords:

Bayesian network Biocultural diversity Conservation management Urbanization

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Last Updated: May 9, 2026

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Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

Ecology
Conservation Biology
Cultural Geography

Background:

Biocultural diversity, linking ecosystems and communities, is vital but poorly mapped for conservation.
Current conservation planning often lacks spatially explicit integration of ecological and cultural dimensions.

Purpose of the Study:

To develop and apply a quantitative, spatially explicit framework for biocultural diversity assessment.
To map biocultural diversity, identify its drivers, and delineate conservation priorities in the Jiroft region.
To inform conservation decision-making by integrating ecological and cultural data.

Main Methods:

Quantified biocultural diversity using a composite index (species, habitat, cultural, indigenous knowledge).
Employed a Bayesian network to identify key drivers of biocultural diversity.
Utilized spatial win-loss analysis for conservation prioritization and restoration needs.

Main Results:

Biocultural diversity varied significantly across land-use types, with forests showing the highest values.
Approximately 37% of the study area was identified as high biocultural diversity (conservation priority).
Elevation, urbanization, and key species were identified as dominant drivers, with species moderating urbanization impacts.

Conclusions:

The developed framework offers a transferable tool for biocultural diversity mapping and conservation planning, particularly in arid landscapes.
Over 20% of the study area requires urgent restoration based on spatial win-loss analysis.
Integrating ecological and cultural data provides actionable insights for effective conservation strategies.