Mapping distribution of woody plant species richness from field rapid assessment and machine learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F24%3A00584878" target="_blank" >RIV/60077344:_____/24:00584878 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12310/24:43908617

Result on the web

<a href="https://taiwania.ntu.edu.tw/abstract/1970" target="_blank" >https://taiwania.ntu.edu.tw/abstract/1970</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.6165/tai.2024.69.1" target="_blank" >10.6165/tai.2024.69.1</a>

Result language

angličtina

Original language name

Mapping distribution of woody plant species richness from field rapid assessment and machine learning

Original language description

Sustainable forest management needs information on spatial distribution of species richness. The objectives of this study were to understand whether knowledge, method, and effort of a rapid assessment affected accuracy and consistency in mapping species richness. A simulation study was carried out with nine 25-50 ha census plots located in tropical, subtropical, and temperate zones. Each forest site was first tessellated into non-overlapping cells. Rapid assessment was conducted in all cells to generate a complete coverage of proxies of the underlying species richness. Cells were subsampled for census, where all plant individuals were identified to species in these census cells. An artificial neural network model was built using the census cells that contain rapid assessment and census information. The model then predicted species richness of cells that were not censused. Results showed that knowledge level did not improve the accuracy and consistency in mapping species richness. Rapid assessment effort and method significantly affected the accuracy and consistency. Increasing rapid assessment effort from 10 to 40 plant individuals could improve the accuracy and consistency up to 2.2% and 2.8%, respectively. Transect reduced accuracy and consistency by up to 0.5% and 0.8%, respectively. This study suggests that knowing at least half of the species in a forest is sufficient for a rapid assessment. At least 20 plant individuals per cell is recommended for rapid assessment. Lastly, a rapid assessment could be carried out by local communities that are familiar with their forests, thus, further supporting sustainable forest management.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10611 - Plant sciences, botany

Project

<a href="/en/project/GX19-28126X" target="_blank" >GX19-28126X: Testing mechanisms that maintain high species diversity in food webs by experimental manipulation of trophic cascades in a tropical rainforest</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Taiwania

ISSN

0372-333X

e-ISSN

—

Volume of the periodical

69

Issue of the periodical within the volume

1

Country of publishing house

TW - TAIWAN (PROVINCE OF CHINA)

Number of pages

15

Pages from-to

1-15

UT code for WoS article

001182402700001

EID of the result in the Scopus database

2-s2.0-85185963981