A global database of soil nematode abundance and functional group composition.
D Johan van den HoogenStefan GeisenDiana H WallDavid A WardleWalter TraunspurgerRon G M de GoedeByron J AdamsWasim AhmadHoward FerrisRichard D BardgettMichael BonkowskiRaquel Campos-HerreraJuvenil E CaresTancredi CarusoLarissa de Brito CaixetaXiaoyun ChenSofia R CostaRachel CreamerJosé Mauro da Cunha E CastroMarie DamDjibril DjigalMiguel EscuerBryan S GriffithsCarmen GutiérrezKarin HohbergDaria KalinkinaPaul KardolAlan KergunteuilGerard KorthalsValentyna KrashevskaAlexey A KudrinQi LiWenju LiangMatthew MagiltonMariette MaraisJosé Antonio Rodríguez MartínElizaveta MatveevaEl Hassan MayadE MzoughChristian MulderPeter MullinRoy NeilsonT A Duong NguyenUffe N NielsenHiroaki OkadaJuan Emilio Palomares RiusKaiwen PanVlada PenevaLoïc PellissierJulio Carlos Pereira da SilvaCamille PitteloudThomas O PowersKirsten PowersCasper W QuistSergio RasmannSara Sánchez MorenoStefan ScheuHeikki SetäläAnna SushchukAlexei V TiunovJean TrapMette VestergårdCecile VillenaveLieven WaeyenbergeRutger A WilschutDaniel G WrightAidan M KeithJiue-In YangOlaf SchmidtR BouharroudZ FerjiWim H van der PuttenDevin RouthThomas W CrowtherPublished in: Scientific data (2020)
As the most abundant animals on earth, nematodes are a dominant component of the soil community. They play critical roles in regulating biogeochemical cycles and vegetation dynamics within and across landscapes and are an indicator of soil biological activity. Here, we present a comprehensive global dataset of soil nematode abundance and functional group composition. This dataset includes 6,825 georeferenced soil samples from all continents and biomes. For geospatial mapping purposes these samples are aggregated into 1,933 unique 1-km pixels, each of which is linked to 73 global environmental covariate data layers. Altogether, this dataset can help to gain insight into the spatial distribution patterns of soil nematode abundance and community composition, and the environmental drivers shaping these patterns.