Dataset Information

Global data on earthworm abundance, biomass, diversity and corresponding environmental properties.

ABSTRACT: Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change.

SUBMITTER: Phillips HRP

PROVIDER: S-EPMC8140120 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Global data on earthworm abundance, biomass, diversity and corresponding environmental properties.

Phillips Helen R P HRP Bach Elizabeth M EM Bartz Marie L C MLC Bennett Joanne M JM Beugnon Rémy R Briones Maria J I MJI Brown George G GG Ferlian Olga O Gongalsky Konstantin B KB Guerra Carlos A CA König-Ries Birgitta B Krebs Julia J JJ Orgiazzi Alberto A Ramirez Kelly S KS Russell David J DJ Schwarz Benjamin B Wall Diana H DH Brose Ulrich U Decaëns Thibaud T Lavelle Patrick P Loreau Michel M Mathieu Jérôme J Mulder Christian C van der Putten Wim H WH Rillig Matthias C MC Thakur Madhav P MP de Vries Franciska T FT Wardle David A DA Ammer Christian C Ammer Sabine S Arai Miwa M Ayuke Fredrick O FO Baker Geoff H GH Baretta Dilmar D Barkusky Dietmar D Beauséjour Robin R Bedano Jose C JC Birkhofer Klaus K Blanchart Eric E Blossey Bernd B Bolger Thomas T Bradley Robert L RL Brossard Michel M Burtis James C JC Capowiez Yvan Y Cavagnaro Timothy R TR Choi Amy A Clause Julia J Cluzeau Daniel D Coors Anja A Crotty Felicity V FV Crumsey Jasmine M JM Dávalos Andrea A Cosín Darío J Díaz DJD Dobson Annise M AM Domínguez Anahí A Duhour Andrés Esteban AE van Eekeren Nick N Emmerling Christoph C Falco Liliana B LB Fernández Rosa R Fonte Steven J SJ Fragoso Carlos C Franco André L C ALC Fusilero Abegail A Geraskina Anna P AP Gholami Shaieste S González Grizelle G Gundale Michael J MJ López Mónica Gutiérrez MG Hackenberger Branimir K BK Hackenberger Davorka K DK Hernández Luis M LM Hirth Jeff R JR Hishi Takuo T Holdsworth Andrew R AR Holmstrup Martin M Hopfensperger Kristine N KN Lwanga Esperanza Huerta EH Huhta Veikko V Hurisso Tunsisa T TT Iannone Basil V BV Iordache Madalina M Irmler Ulrich U Ivask Mari M Jesús Juan B JB Johnson-Maynard Jodi L JL Joschko Monika M Kaneko Nobuhiro N Kanianska Radoslava R Keith Aidan M AM Kernecker Maria L ML Koné Armand W AW Kooch Yahya Y Kukkonen Sanna T ST Lalthanzara H H Lammel Daniel R DR Lebedev Iurii M IM Le Cadre Edith E Lincoln Noa K NK López-Hernández Danilo D Loss Scott R SR Marichal Raphael R Matula Radim R Minamiya Yukio Y Moos Jan Hendrik JH Moreno Gerardo G Morón-Ríos Alejandro A Motohiro Hasegawa H Muys Bart B Neirynck Johan J Norgrove Lindsey L Novo Marta M Nuutinen Visa V Nuzzo Victoria V Mujeeb Rahman P P Pansu Johan J Paudel Shishir S Pérès Guénola G Pérez-Camacho Lorenzo L Ponge Jean-François JF Prietzel Jörg J Rapoport Irina B IB Rashid Muhammad Imtiaz MI Rebollo Salvador S Rodríguez Miguel Á MÁ Roth Alexander M AM Rousseau Guillaume X GX Rozen Anna A Sayad Ehsan E van Schaik Loes L Scharenbroch Bryant B Schirrmann Michael M Schmidt Olaf O Schröder Boris B Seeber Julia J Shashkov Maxim P MP Singh Jaswinder J Smith Sandy M SM Steinwandter Michael M Szlavecz Katalin K Talavera José Antonio JA Trigo Dolores D Tsukamoto Jiro J Uribe-López Sheila S de Valença Anne W AW Virto Iñigo I Wackett Adrian A AA Warren Matthew W MW Webster Emily R ER Wehr Nathaniel H NH Whalen Joann K JK Wironen Michael B MB Wolters Volkmar V Wu Pengfei P Zenkova Irina V IV Zhang Weixin W Cameron Erin K EK Eisenhauer Nico N

Scientific data 20210521 1

Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were req ...[more]

PMID: 34021166

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Project description:BACKGROUND:Earthworm communities are generally very sensitive to physico-chemical properties of the soil in different agro-ecosystem i.e. cultivated or non-cultivated which directly or indirectly influence the earthworm survival. The difference in physico-chemical properties of soil at different sites contributed to the formation of population patches for earthworm species. Understanding the physico-chemical properties of soil at a particular site could facilitate the prediction of earthworm species at that site. The objective of the present study was to investigate the diversity, abundance, and distribution of earthworms in cultivated and non-cultivated agroecosystems and their physico-chemical properties affecting the earthworm diversity and abundance. RESULTS:Total 10 species of earthworms i.e. Amynthas alexandri, Amynthas morrisi, Eutyphoeus incommodus, Eutyphoeus waltoni, Metaphire birmanica, Metaphire houlleti, Metaphire posthuma, Octochaetona beatrix, Perionyx excavatus, and Polypheretima elongata, were reported. Out of all the reported species, Metaphire posthuma was found to be the most abundant earthworm species in both cultivated and non-cultivated agroecosystems with the occurrence at 56.81% sites. The Shannon-Wiener index (H), Margalef species richness index (DMg) and Pielou species evenness (E) was ranged from 0 to 0.86, 0 to 0.64 and 0.78 to 1 respectively. The principal component analysis resulted in four principal components i.e. PC1, PC2, PC3 and PC4 which contributing variance (%) of 22.96, 19.37, 14.23 and 10.10 respectively. The principal component analysis also showed that physico-chemical parameters of soil such as EC, pH, TDS, texture, OC, moisture, etc. play a critical role in earthworm distribution. CONCLUSION:The conventional farming system has a negative effect on the earthworm diversity in the soil while the physico-chemical properties of soil also have a determinant effect on the same. Earthworms abundance in the present study have significant direct relation with soil properties at a particular site and vice versa. The diversity indices also change due to the conventional farming system which directly affects the earthworm abundance.

Project description:In 2003, 24 presence-absence β-diversity metrics were reviewed and a number of trade-offs and redundancies identified. We present a parallel investigation into the performance of abundance-based metrics of β-diversity. β-diversity is a multi-faceted concept, central to spatial ecology. There are multiple metrics available to quantify it: the choice of metric is an important decision. We test 16 conceptual properties and two sampling properties of a β-diversity metric: metrics should be 1) independent of α-diversity and 2) cumulative along a gradient of species turnover. Similarity should be 3) probabilistic when assemblages are independently and identically distributed. Metrics should have 4) a minimum of zero and increase monotonically with the degree of 5) species turnover, 6) decoupling of species ranks and 7) evenness differences. However, complete species turnover should always generate greater values of β than extreme 8) rank shifts or 9) evenness differences. Metrics should 10) have a fixed upper limit, 11) symmetry (βA,B = βB,A ), 12) double-zero asymmetry for double absences and double presences and 13) not decrease in a series of nested assemblages. Additionally, metrics should be independent of 14) species replication 15) the units of abundance and 16) differences in total abundance between sampling units. When samples are used to infer β-diversity, metrics should be 1) independent of sample sizes and 2) independent of unequal sample sizes. We test 29 metrics for these properties and five 'personality' properties. Thirteen metrics were outperformed or equalled across all conceptual and sampling properties. Differences in sensitivity to species' abundance lead to a performance trade-off between sample size bias and the ability to detect turnover among rare species. In general, abundance-based metrics are substantially less biased in the face of undersampling, although the presence-absence metric, βsim , performed well overall. Only βBaselga R turn , βBaselga B-C turn and βsim measured purely species turnover and were independent of nestedness. Among the other metrics, sensitivity to nestedness varied >4-fold. Our results indicate large amounts of redundancy among existing β-diversity metrics, whilst the estimation of unseen shared and unshared species is lacking and should be addressed in the design of new abundance-based metrics.

Project description:Actinorhizal plants form nitrogen-fixing root nodules in symbiosis with soil-dwelling actinobacteria within the genus Frankia, and specific Frankia taxonomic clusters nodulate plants in corresponding host infection groups. In same-soil microcosms, we observed that some host species were nodulated (Alnus glutinosa, Alnus cordata, Shepherdia argentea, Casuarina equisetifolia) while others were not (Alnus viridis, Hippophaë rhamnoides). Nodule populations were represented by eight different sequences of nifH gene fragments. Two of these sequences characterized frankiae in S. argentea nodules, and three others characterized frankiae in A. glutinosa nodules. Frankiae in A. cordata nodules were represented by five sequences, one of which was also found in nodules from A. glutinosa and C. equisetifolia, while another was detected in nodules from A. glutinosa Quantitative PCR assays showed that vegetation generally increased the abundance of frankiae in soil, independently of the target gene (i.e., nifH or the 23S rRNA gene). Targeted Illumina sequencing of Frankia-specific nifH gene fragments detected 24 unique sequences from rhizosphere soils, 4 of which were also found in nodules, while the remaining 4 sequences in nodules were not found in soils. Seven of the 24 sequences from soils represented >90% of the reads obtained in most samples; the 2 most abundant sequences from soils were not found in root nodules, and only 2 of the sequences from soils were detected in nodules. These results demonstrate large differences between detectable Frankia populations in soil and those in root nodules, suggesting that root nodule formation is not a function of the abundance or relative diversity of specific Frankia populations in soils.IMPORTANCE The nitrogen-fixing actinobacterium Frankia forms root nodules on actinorhizal plants, with members of specific Frankia taxonomic clusters nodulating plants in corresponding host infection groups. We assessed Frankia diversity in root nodules of different host plant species, and we related specific populations to the abundance and relative distribution of indigenous frankiae in rhizosphere soils. Large differences were observed between detectable Frankia populations in soil and those in root nodules, suggesting that root nodule formation is not a function of the abundance or relative diversity of specific Frankia populations in soils but rather results from plants potentially selecting frankiae from the soil for root nodule formation. These data also highlight the necessity of using a combination of different assessment tools so as to adequately address methodological constraints that could produce contradictory data sets.

Dataset Information

Global data on earthworm abundance, biomass, diversity and corresponding environmental properties.

Publications

Global data on earthworm abundance, biomass, diversity and corresponding environmental properties.

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