Landscape analyses using eDNA metabarcoding and Earth observation predict community biodiversity in California.

Biodiversity California DNA Barcoding, Taxonomic DNA, Environmental Ecosystem Environmental Monitoring
beta diversity biomonitoring citizen science community ecology ecological modeling environmental DNA gradient forest remote sensing zeta diversity

Journal

Ecological applications : a publication of the Ecological Society of America
ISSN: 1051-0761
Titre abrégé: Ecol Appl
Pays: United States
ID NLM: 9889808

Informations de publication

Date de publication:
09 2021
Historique:
revised: 23 12 2020
received: 02 11 2020
accepted: 04 02 2021
pubmed: 21 5 2021
medline: 12 10 2021
entrez: 20 5 2021
Statut: ppublish

Résumé

Ecosystems globally are under threat from ongoing anthropogenic environmental change. Effective conservation management requires more thorough biodiversity surveys that can reveal system-level patterns and that can be applied rapidly across space and time. Using modern ecological models and community science, we integrate environmental DNA and Earth observations to produce a time snapshot of regional biodiversity patterns and provide multi-scalar community-level characterization. We collected 278 samples in spring 2017 from coastal, shrub, and lowland forest sites in California, a complex ecosystem and biodiversity hotspot. We recovered 16,118 taxonomic entries from eDNA analyses and compiled associated traditional observations and environmental data to assess how well they predicted alpha, beta, and zeta diversity. We found that local habitat classification was diagnostic of community composition and distinct communities and organisms in different kingdoms are predicted by different environmental variables. Nonetheless, gradient forest models of 915 families recovered by eDNA analysis and using BIOCLIM variables, Sentinel-2 satellite data, human impact, and topographical features as predictors, explained 35% of the variance in community turnover. Elevation, sand percentage, and photosynthetic activities (NDVI32) were the top predictors. In addition to this signal of environmental filtering, we found a positive relationship between environmentally predicted families and their numbers of biotic interactions, suggesting environmental change could have a disproportionate effect on community networks. Together, these analyses show that coupling eDNA with environmental predictors including remote sensing data has capacity to test proposed Essential Biodiversity Variables and create new landscape biodiversity baselines that span the tree of life.

Identifiants

DOI: 10.1002/eap.2379 PMID: 34013632 PMC: PMC9297316
pubmed: 34013632
doi: 10.1002/eap.2379
pmc: PMC9297316
mid: NIHMS1822489
doi:

Substances chimiques

DNA, Environmental 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e02379

Subventions

Organisme : NIGMS NIH HHS
ID : K12 GM106996
Pays : United States
Organisme : Howard Hughes Medical Institute
ID : GT10483
Pays : United States

Informations de copyright

© 2021 by the Ecological Society of America.

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Auteurs

Meixi Lin (M)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
ORCID: 0000-0001-5233-0675

Ariel Levi Simons (AL)

Department of Marine and Environmental Biology, University of Southern California, Los Angeles, California, 90089, USA.
Institute of the Environment and Sustainability, University of California-Los Angeles, Los Angeles, California, 90095, USA.
ORCID: 0000-0003-0492-5492

Ryan J Harrigan (RJ)

Center for Tropical Research, Institute of the Environment and Sustainability, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Emily E Curd (EE)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Fabian D Schneider (FD)

Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, California, 91009, USA.

Dannise V Ruiz-Ramos (DV)

Columbia Environmental Research Center, U.S. Geological Survey, Columbia, Missouri, 65201, USA.
Department of Life & Environmental Sciences, University of California-Merced, Merced, California, 95343, USA.

Zack Gold (Z)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Melisa G Osborne (MG)

Department of Molecular and Computational Biology, University of Southern California, Los Angeles, California, 90089, USA.

Sabrina Shirazi (S)

Department of Ecology and Evolutionary Biology, University of California-Santa Cruz, Santa Cruz, California, 95064, USA.

Teia M Schweizer (TM)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
Department of Biology, Colorado State University, Fort Collins, Colorado, 80523, USA.

Tiara N Moore (TN)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
School of Environmental and Forestry Sciences, University of Washington, Seattle, Washington, 98195, USA.
ORCID: 0000-0002-2422-6472

Emma A Fox (EA)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Rachel Turba (R)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
ORCID: 0000-0003-3388-4503

Ana E Garcia-Vedrenne (AE)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Sarah K Helman (SK)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Kelsi Rutledge (K)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Maura Palacios Mejia (MP)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Onny Marwayana (O)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
Museum Zoologicum Bogoriense, Research Center for Biology, Indonesian Institute of Sciences (LIPI), Cibinong, Bogor, 16911, Indonesia.

Miroslava N Munguia Ramos (MN)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Regina Wetzer (R)

Research and Collections, Natural History Museum of Los Angeles County, Los Angeles, California, 90007, USA.
Biological Sciences, University of Southern California, Los Angeles, California, 90089, USA.

N Dean Pentcheff (ND)

Research and Collections, Natural History Museum of Los Angeles County, Los Angeles, California, 90007, USA.

Emily Jane McTavish (EJ)

Department of Life & Environmental Sciences, University of California-Merced, Merced, California, 95343, USA.

Michael N Dawson (MN)

Department of Life & Environmental Sciences, University of California-Merced, Merced, California, 95343, USA.

Beth Shapiro (B)

Department of Ecology and Evolutionary Biology, University of California-Santa Cruz, Santa Cruz, California, 95064, USA.
Howard Hughes Medical Institute, University of California-Santa Cruz, Santa Cruz, California, 95064, USA.

Robert K Wayne (RK)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.

Rachel S Meyer (RS)

Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, 90095, USA.
Department of Ecology and Evolutionary Biology, University of California-Santa Cruz, Santa Cruz, California, 95064, USA.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Biodiversité › Landscape analyses using eDNA metabarcoding...
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › États-Unis › États du Sud-Ouest des États-Unis › Californie › Landscape analyses using eDNA metabarcoding...
questionsmedicales.fr › Techniques d'investigation › Techniques génétiques › Analyse de séquence › Analyse de séquence d'ADN › Codage à barres de l'ADN pour la taxonomie › Landscape analyses using eDNA metabarcoding...
questionsmedicales.fr › Acides nucléiques, nucléotides et nucléosides › Acides nucléiques › ADN › ADN environnemental › Landscape analyses using eDNA metabarcoding...
questionsmedicales.fr › Environnement et santé publique › Environnement › Écosystème › Landscape analyses using eDNA metabarcoding...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pratiques en santé publique › Surveillance de l'environnement › Landscape analyses using eDNA metabarcoding...