Skip to content

empower research, enrich diversity

Search for:

Menu

Close

Home
About
- About
- Team
- Data Policy
- Career
- Contact
Research
Community

Home
About
- About
- Team
- Data Policy
- Career
- Contact
Research
Community

Search for:

Structural diversity predicts forest carbon storage.

Structural diversity predicts forest carbon storage.

Public Group

Public Group

Active a year ago

Structural diversity – the volumetric capacity (total, occupied, and unoccupied) and physical... View more

Public Group

Group Organizers

Organized by

Group Description

Structural diversity – the volumetric capacity (total, occupied, and unoccupied) and physical arrangement of biotic components within ecosystems – has the potential to serve as an additional and possibly even superior predictor of productivity. Despite having roots in early ecology, the idea that diverse vegetation structure plays a crucial role in ecosystem function has been given surprisingly little consideration since its origin. In general, plants of varying sizes and structure are located across different horizontal and vertical spaces within an ecosystem, leading to the unique occupancy of niche axes such as light. The occupancy of more niche space, in turn, can be closely linked to essential ecosystem functions, such as an elevated capacity for ecosystem vegetation to convert more resources into growth.
Unlike species diversity, which measures the potential niche space that organisms might occupy , structural diversity offers a more direct measure of realized niche occupancy. Structural diversity captures variation in vegetation size and structure, and plants of different sizes – even those of the same species – can be functionally distinct in obtaining and utilizing resources. Therefore, structural diversity can provide estimations of not only theactual volumetric occupancy and arrangement of the niche space but also the total volumetric capacity of the niche space. Existing diversity measures, such as species diversity, cannot be used to directly measure niches filled by the presence of additional species or different- sized individuals of the same species.

We estimated the structural diversity of forest stands from metrics that measure horizontal, vertical, and structural richness using tree diameter and height size classes from forest inventory data. research the uncertainties of environmental and climate variables in predicting productivity or carbon stocks. It is also possible to consider introducing machine learning to scale the data.

Leave Group

Are you sure you want to leave ?

Cancel Confirm

Members
Feed
Charts
Chart Collections
Documents
Discussions

Search Members…

Requesting the group members. Please wait.

Science-i is a global research metaverse that accelerates scientific discoveries with AI, big data, and global connection.

Twitter
LinkedIn
Facebook
Instagram
Link

Publications
Research
Members
Registration
Log In

Terms of Service
Data & Privacy Policy
Inclusion & Ethics
Contact Us

Sign up for our Newsletter

First Name

Last Name

Email address:

Leave this field empty if you're human:

Web Design Copyright © Science-i 2022

Data & Privacy Policy

Report

There was a problem reporting this post.

Harassment Harassment or bullying behavior

Inappropriate Contains mature or sensitive content

Misinformation Contains misleading or false information

Offensive Contains abusive or derogatory content

Suspicious Contains spam, fake content or potential malware

Other

Report note

Block Member?

Please confirm you want to block this member.

You will no longer be able to:

See blocked member's posts
Mention this member in posts
Invite this member to groups
Message this member
Add this member as a connection

Please note: This action will also remove this member from your connections and send a report to the site admin. Please allow a few minutes for this process to complete.

Report

You have already reported this .