Putting soil invertebrate diversity on the map

Ecologists have had a very good foundational knowledge of the global distribution of plants and aboveground animals for many decades. But despite the immense diversity of soil organisms, our knowledge of the global distribution, drivers and threats to soil biodiversity is very limited. In this issue...

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Vydáno v:	Molecular ecology Ročník 29; číslo 4; s. 655 - 657
Hlavní autoři:	Phillips, Helen R.P., Heintz‐Buschart, Anna, Eisenhauer, Nico
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Blackwell Publishing Ltd 01.02.2020
Témata:	aboveground‐belowground interactions amplicon sequencing Animals Anthropogenic factors Arachnids Biodiversity climate climate change DNA DNA sequencing Ecology equations Genetic Variation geographical distribution Invertebrates Invertebrates - genetics macroecology Multivariate statistical analysis Nematoda Nematoda - genetics Nematodes Plants - genetics Rotifera Sequence Analysis, DNA Soil soil biodiversity Soil invertebrates Soils vegetation aboveground-belowground interactions soil biodiversity amplicon sequencing macroecology invertebrates climate change
ISSN:	0962-1083, 1365-294X, 1365-294X
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Shrnutí:	Ecologists have had a very good foundational knowledge of the global distribution of plants and aboveground animals for many decades. But despite the immense diversity of soil organisms, our knowledge of the global distribution, drivers and threats to soil biodiversity is very limited. In this issue of Molecular Ecology, Bastida et al. (2020) produce the first global maps of soil invertebrate diversity that have been sampled at 83 locations, across six continents, using standardised methods and DNA sequencing. Using data from nematodes, arachnids and rotifers, and structural equation models, they find that diversity of these taxa is primarily driven by vegetation and climate. Given the anthropogenic changes that are occurring, and are projected to continue, this study provides important baseline information for future soil biodiversity and function monitoring, as well as exciting working hypotheses for targeted experiments.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-News-1 content type line 14 ObjectType-Article-2 content type line 23 ObjectType-Article-1 ObjectType-Feature-2
ISSN:	0962-1083 1365-294X 1365-294X
DOI:	10.1111/mec.15371