Detailed Information on Publication Record
2023
Anticipating where are unknown aquatic insects in Europe to improve biodiversity conservation
SANCHEZ-CAMPANA, Carlota, Cesc MURRIA, Virgilio HERMOSO, David SANCHEZ-FERNANDEZ, de Figueroa J Manuel TIERNO et. al.Basic information
Original name
Anticipating where are unknown aquatic insects in Europe to improve biodiversity conservation
Authors
SANCHEZ-CAMPANA, Carlota (guarantor), Cesc MURRIA, Virgilio HERMOSO, David SANCHEZ-FERNANDEZ, de Figueroa J Manuel TIERNO, Marcos GONZALEZ, Andres MILLAN, Joel MOUBAYED, Marija IVKOVIC, David MURANYI, Wolfram GRAF, Tomas DERKA, Wolfram MEY, Fuesun SIPAHILER, Petr PAŘIL (203 Czech Republic, belonging to the institution), Vendula POLÁŠKOVÁ (203 Czech Republic, belonging to the institution) and Nuria BONADA
Edition
Diversity and Distributions, Wiley, 2023, 1366-9516
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10619 Biodiversity conservation
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 4.600 in 2022
RIV identification code
RIV/00216224:14310/23:00134192
Organization unit
Faculty of Science
UT WoS
001021623600001
Keywords in English
aquatic ecosystems; biodiversity loss; conservation priorities; protected areas; species distribution; vulnerability
Tags
Tags
International impact, Reviewed
Změněno: 22/12/2023 09:26, Mgr. Marie Šípková, DiS.
Abstract
V originále
Aim: Understanding biodiversity patterns is crucial for prioritizing future conservation efforts and reducing the current rates of biodiversity loss. However, a large proportion of species remain undescribed (i.e. unknown biodiversity), hindering our ability to conduct this task. This phenomenon, known as the 'Linnean shortfall', is especially relevant in highly diverse, yet endangered, taxonomic groups, such as insects. Here we explore the distributions of recently described freshwater insect species in Europe to (1) infer the potential location of unknown biodiversity hotspots and (2) determine the variables that can anticipate the distribution of unknown biodiversity.
Links
GA20-17305S, research and development project |
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