Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F14%3A43887749" target="_blank" >RIV/60076658:12310/14:43887749 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/14:00482866 RIV/86652079:_____/14:00482866

Result on the web

<a href="http://www.esajournals.org/doi/full/10.1890/ES13-00393.1" target="_blank" >http://www.esajournals.org/doi/full/10.1890/ES13-00393.1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1890/ES13-00393.1" target="_blank" >10.1890/ES13-00393.1</a>

Result language

angličtina

Original language name

Comparison of remote sensing and plant trait-based modelling to predict ecosystem services in subalpine grasslands

Original language description

There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and remote sensing (RS) can provide valuable data to meet this challenge. In this study, located in the Central French Alps, we used high spatial and spectralresolution RS images to assess multiple ES based on underpinning ecosystem properties (EP) of subalpine grasslands. We estimated five EP (green biomass, litter mass, crude protein content, species diversity and soil carbon content) from RS data using empirical RS methods and maps of ES were calculated as simple linear combinations of EP. Additionally, the RS-based results were compared with results of a plant trait-based statistical modelling approach that predicted EP and ES from land use, abiotic andplant trait data (modelling approach). The comparison between the RS and the modelling approaches showed that RS-based results provided better insight into the fine-grained spatial distribution of EP and thereby ES, whereas the modelling

Czech name

—

Czech description

—

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

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

Name of the periodical

ECOSPHERE

ISSN

2150-8925

e-ISSN

—

Volume of the periodical

5

Issue of the periodical within the volume

8

Country of publishing house

US - UNITED STATES

Number of pages

29

Pages from-to

—

UT code for WoS article

000345096900007

EID of the result in the Scopus database

—