Downscaling the environmental associations and spatial patterns of species richness

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11620%2F14%3A10285286" target="_blank" >RIV/00216208:11620/14:10285286 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1890/13-0805.1" target="_blank" >http://dx.doi.org/10.1890/13-0805.1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1890/13-0805.1" target="_blank" >10.1890/13-0805.1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Downscaling the environmental associations and spatial patterns of species richness

Popis výsledku v původním jazyce

We introduce a method that enables the estimation of species richness environment association and prediction of geographic patterns of species richness at grains finer than the original grain of observation. The method is based on a hierarchical model that uses coarse-grain values of species richness and fine-grain environmental data as input. In the model, the (unobserved) fine-grain species richness is linked to the observed fine-grain environment and upscaled using a simple species area relationship(SAR). The upscaled values are then stochastically linked to the observed coarse-grain species richness. We tested the method on Southern African Bird Atlas data by downscaling richness from 2 degrees to 0.25 degrees (similar to 250 km to similar to 30 km) resolution. When prior knowledge of the SAR slope (average species turnover within coarse-grain cells) was available, the method predicted the fine-grain relationship between richness and environment and provided fine-grain predictions

Název v anglickém jazyce

Downscaling the environmental associations and spatial patterns of species richness

Popis výsledku anglicky

We introduce a method that enables the estimation of species richness environment association and prediction of geographic patterns of species richness at grains finer than the original grain of observation. The method is based on a hierarchical model that uses coarse-grain values of species richness and fine-grain environmental data as input. In the model, the (unobserved) fine-grain species richness is linked to the observed fine-grain environment and upscaled using a simple species area relationship(SAR). The upscaled values are then stochastically linked to the observed coarse-grain species richness. We tested the method on Southern African Bird Atlas data by downscaling richness from 2 degrees to 0.25 degrees (similar to 250 km to similar to 30 km) resolution. When prior knowledge of the SAR slope (average species turnover within coarse-grain cells) was available, the method predicted the fine-grain relationship between richness and environment and provided fine-grain predictions

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Ecological Applications

ISSN

1051-0761

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

823-831

Kód UT WoS článku

000337117400018

EID výsledku v databázi Scopus

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