The structure of plant spatial association networks is linked to plant diversity in global drylands
Financiación H2020 / H2020 FundsFinanciación FP7 / Fp7 Funds
Resumen: Despite commonly used to unveil the complex structure of interactions within ecological communities and their value to assess their resilience against external disturbances, network analyses have seldom been applied in plant communities. We evaluated how plant–plant spatial association networks vary in global drylands and assessed whether network structure was related to plant diversity in these ecosystems. We surveyed 185 dryland ecosystems from all continents except Antarctica and built networks using the local spatial association between all the perennial plants species present in the communities studied. Then, for each network, we calculated four descriptors of network structure (link density, link weight mean and heterogeneity, and structural balance) and evaluated their significance with null models. Finally, we used structural equation models to evaluate how abiotic factors (including geography, topography, climate and soil conditions) and network descriptors influenced plant species richness and evenness. Plant networks were highly variable world-wide, but at most study sites (72%) presented common structures such as a higher link density than expected. We also find evidence of the presence of high structural balance in the networks studied. Moreover, all network descriptors considered had a positive and significant effect on plant diversity and on species richness in particular. Synthesis. Our results constitute the first empirical evidence showing the existence of common network architectures structuring dryland plant communities at the global scale and suggest a relationship between the structure of spatial networks and plant diversity. They also highlight the importance of system-level approaches to explain the diversity and structure of interactions in plant communities, two major drivers of terrestrial ecosystem functioning.
Idioma: Inglés
DOI: 10.1111/1365-2745.12935
Año: 2018
Publicado en: JOURNAL OF ECOLOGY 106, 4 (2018), 1443-1453
ISSN: 0022-0477

Factor impacto JCR: 5.687 (2018)
Categ. JCR: PLANT SCIENCES rank: 12 / 228 = 0.053 (2018) - Q1 - T1
Categ. JCR: ECOLOGY rank: 16 / 164 = 0.098 (2018) - Q1 - T1

Factor impacto SCIMAGO: 2.764 - Ecology (Q1) - Plant Science (Q1) - Ecology, Evolution, Behavior and Systematics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/E19
Financiación: info:eu-repo/grantAgreement/EC/FP7/242658/EU/Biotic community attributes and ecosystem functioning: implications for predicting and mitigating global change impacts/BIOCOM
Financiación: info:eu-repo/grantAgreement/EC/H2020/647038/EU/Biological feedbacks and ecosystem resilience under global change: a new perspective on dryland desertification/BIODESERT
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2014-55867-P
Financiación: info:eu-repo/grantAgreement/ES/MINECO/FIS2015-71582-C2-1
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Física Materia Condensada (Dpto. Física Materia Condensa.)

Derechos Reservados Derechos reservados por el editor de la revista


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