Quantitative assessment of plant-artropod interactions in forest canopies: A plot-based approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F19%3A00510013" target="_blank" >RIV/60077344:_____/19:00510013 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985939:_____/19:00510013

Výsledek na webu

<a href="https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0222119&type=printable" target="_blank" >https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0222119&type=printable</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0222119" target="_blank" >10.1371/journal.pone.0222119</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quantitative assessment of plant-artropod interactions in forest canopies: A plot-based approach

Popis výsledku v původním jazyce

Research on canopy arthropods has progressed from species inventories to the study of their interactions and networks, enhancing our understanding of how hyper-diverse communities are maintained. Previous studies often focused on sampling individual tree species, individual trees or their parts. We argue that such selective sampling is not ideal when analyzing interaction network structure, and may lead to erroneous conclusions. We developed practical and reproducible sampling guidelines for the plot-based analysis of arthropod interaction networks in forest canopies. We quantitatively sampled arthropods from felled trees, or from trees accessed by canopy cranes or cherry pickers in 53 0.1 ha forest plots in five biogeographic regions, comprising 6,280 trees in total. We compared interaction networks derived from plot-based data to interaction networks derived from simulated non-plot-based data. All types of non-plot-based data showed highly biased network structure. Plot-based sampling thus appears to be the most rigorous approach for reconstructing realistic, quantitative plant-arthropod interaction networks that are comparable across sites and regions. We conclude that plot-based studies on canopy arthropods would yield important insights into the processes of interaction network assembly and dynamics, which could be maximised via a coordinated network of plot-based study sites.

Název v anglickém jazyce

Quantitative assessment of plant-artropod interactions in forest canopies: A plot-based approach

Popis výsledku anglicky

Research on canopy arthropods has progressed from species inventories to the study of their interactions and networks, enhancing our understanding of how hyper-diverse communities are maintained. Previous studies often focused on sampling individual tree species, individual trees or their parts. We argue that such selective sampling is not ideal when analyzing interaction network structure, and may lead to erroneous conclusions. We developed practical and reproducible sampling guidelines for the plot-based analysis of arthropod interaction networks in forest canopies. We quantitatively sampled arthropods from felled trees, or from trees accessed by canopy cranes or cherry pickers in 53 0.1 ha forest plots in five biogeographic regions, comprising 6,280 trees in total. We compared interaction networks derived from plot-based data to interaction networks derived from simulated non-plot-based data. All types of non-plot-based data showed highly biased network structure. Plot-based sampling thus appears to be the most rigorous approach for reconstructing realistic, quantitative plant-arthropod interaction networks that are comparable across sites and regions. We conclude that plot-based studies on canopy arthropods would yield important insights into the processes of interaction network assembly and dynamics, which could be maximised via a coordinated network of plot-based study sites.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

PLoS ONE

ISSN

1932-6203

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

e0222119

Kód UT WoS článku

000515074100001

EID výsledku v databázi Scopus

2-s2.0-85074060940