Ecology

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the NetherlandsAndrew K. Skidmore, Elnaz Neinavaz, Abebe Ali, Roshanak Darvishzadeh, Marcelle C. Lock & Tiejun WangDepartment of Earth and Environmental Science, Macquarie University, Sydney, New South Wales, AustraliaAndrew K. Skidmore & Marcelle C. LockDepartment of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, CanadaNicholas C. CoopsDepartment of Geography and Environmental Studies, Wollo University, Dessie, EthiopiaAbebe AliRemote Sensing Laboratories, Department of Geography, University of Zurich, Zurich, SwitzerlandMichael E. SchaepmanEuropean Space Research Institute (ESRIN), European Space Agency, Frascati, ItalyMarc PaganiniInstitute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, Amsterdam, the NetherlandsW. Daniel KisslingBiodiversity Centre, Finnish Environment Institute (SYKE), Helsinki, FinlandPetteri VihervaaraInstitute of Geographical Sciences, Freie Universität Berlin, Berlin, GermanyHannes FeilhauerRemote Sensing Center for Earth System Research, University of Leipzig, Leipzig, GermanyHannes FeilhauerNatureServe, Arlington, VA, USAMiguel FernandezGeorge Mason University, Fairfax, VA, USAMiguel FernandezGerman Centre for Integrative Biodiversity Research (iDiv), Leipzig, GermanyNéstor FernándezInstitute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), GermanyNéstor FernándezGoogle, Zurich, SwitzerlandNoel GorelickTour du Valat, Arles, FranceIlse GeijzendorfferEarth Observation Center (EOC), Remote Sensing Technology Institute, German Aerospace Center (DLR), Oberpfaffenhofen, GermanyUta Heiden & Stefanie HolzwarthDepartment of Visitor Management and National Park Monitoring, Bavarian Forest National Park Administration, Grafenau, GermanyMarco HeurichAlbert Ludwigs University of Freiburg, Freiburg, GermanyMarco HeurichGBIF Secretariat, Copenhagen, DenmarkDonald HobernCollege of Marine Science, University of South Florida, St Petersburg, FL, USAFrank E. Muller-KargerFlemish Institute for Technological Research (VITO), Mol, BelgiumRuben Van De KerchoveComputational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Leipzig, GermanyAngela LauschGeography Department, Humboldt University of Berlin, Berlin, GermanyAngela LauschTechnische Universität Braunschweig, Braunschweig, GermanyPedro J. LeitãoHumboldt-Universität zu Berlin, Berlin, GermanyPedro J. LeitãoWageningen Environmental Research, Wageningen University & Research, Wageningen, the NetherlandsCaspar A. MücherUN Environment World Conservation Monitoring Centre, Cambridge, UKBrian O’ConnorDepartment of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, ItalyDuccio RocchiniDepartment of Applied Geoinformatics and Spatial Planning, Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech RepublicDuccio RocchiniEarth Science Division, NASA, Washington DC, USAWoody TurnerUnilever Europe B.V., Rotterdam, the NetherlandsJan Kees VisInstitute of Geography and Geology, University of Wuerzburg, Würzburg, GermanyMartin WegmannLand Systems and Sustainable Land Management, Geographisches Institut, Universität Bern, Bern, SwitzerlandVladimir Wingate More

Effects of the two planting systems on soil fungal diversityIn this study, 561,254 sequences were generated from 15 samples obtained from 5 treatments. Base sequences with a length of 201–300 bp accounted for 97.82% of all sequences (Table S1a,b). Rarefaction curves at a similarity level of 97% indicated that the number of sequences extracted from most samples tended to plateau above 10,000. The number of sequences extracted in the test exceeded 30,000, suggesting that the sequencing data were close to saturation, sequencing depth was reasonable, and the results reflected true sample conditions (Fig. 1). The coverage of all samples was above 99.84%. The range of reads in each sample was between 34,390 and 43,510. The range of Operational Taxonomic Units (OTUs) in each sample was between 145 and 318 (Table 1).Figure 1α-Diversity comparison. Rarefaction curves for OTUs were calculated using Mothur (v1.27.0) with reads normalized to more than 30,000 for each sample using a distance of 0.03 OTU.Full size imageTable 1 Comparison of α-diversity indices in TPP and VEE soil samples.Full size tableThe analysis of alpha diversity showed that with increasing planting time, soil fungal OTUs, the Chao index, and the ACE index in TPP-treated plots increased and then decreased with time. In the VEE-IPBP-treated plots, these 3 indexes increased with time and were 56.94%, 33.81%, and 32.50% higher than those in the TPP-treated plots, respectively, after 6 years of implementation (p  More

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Estatal libre Villahermosa-Comalcalco, Km 27 S/N, C.P. 86205 Jalpa de Méndez, Tabasco, MexicoSheila Uribe-LópezUnit Food & Agriculture, WWF-Netherlands, Driebergseweg 10, Zeist, The NetherlandsAnne W. de ValençaDpto. Ciencias, IS-FOOD, Universidad Pública de Navarra, Edificio Olivos – Campus Arrosadia, Pamplona, SpainIñigo VirtoDepartment of Soil, Water and Climate, University of Minnesota, 1991 Upper Buford Circle, St Paul, USAAdrian A. WackettEarth Innovation Institute, 98 Battery Street Suite 250, San Francisco, USAMatthew W. WarrenUniversity of California Davis, 1 Shields Avenue, Davis, USAEmily R. WebsterNatural Resources & Environmental Management, University of Hawaii at Manoa, 1910 East West Rd, Honolulu, USANathaniel H. WehrNatural Resource Sciences, McGill University, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, CanadaJoann K. WhalenThe Nature Conservancy, 4245 Fairfax Drive, Arlington, USAMichael B. WironenAnimal Ecology, Justus Liebig University, Heinrich-Buff-Ring 26, Giessen, GermanyVolkmar WoltersInstitute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, ChinaPengfei WuLaboratory of terrestrial ecosystems, Federal Research Centre “Kola Science Centre of the Russian Academy of Sciences”, Institute of North Industrial Ecology Problems (INEP KSC RAS), Akademgorodok, 14a, Apatity, Murmansk, Province, RussiaIrina V. ZenkovaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, College of Environment and Planning, Henan University, Kaifeng, ChinaWeixin ZhangFaculty of Biological and Environmental Sciences, Post Office Box 65, FI 00014, University of Helsinki, Helsinki, FinlandErin K. CameronThe sWorm workshops were organised by N.E., E.K.C. and H.R.P.P., with funding acquired by N.E., E.K.C. and M.P.T. Data collation and formatting was led by H.R.P.P., with assistance from J.K., M.J.I.B., G.B., K.B.G. and B.S. Harmonisation of earthworm species names was completed by G.B., M.J.I.B., M.L.C.B. and P.L. Advice and feedback on data collation protocols was provided by E.M.B., M.J.I.B., G.B., O.F., C.A.G., B.K.R., A.O., D.R., and D.H.W. Writing of the manuscript was led by H.R.P.P. All authors provided input and comments on the manuscript. The majority of authors provided data to the database. More

RESEARCH SUMMARY

21 May 2021

Balancing carbon storage under elevated CO2

A global synthesis of experiments reveals that increases in plant biomass under conditions of elevated CO2 mean that plants need to mine the soil for nutrients, which decreases soil’s ability to store carbon. In forests, elevated CO2 generally seems to greatly increase plant biomass, but not soil carbon. In grasslands, by contrast, it causes small changes in biomass and large increases in soil carbon.

César Terrer

 ORCID: http://orcid.org/0000-0002-5479-3486

0

César Terrer

Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, USA; and the Department of Earth System Science, Stanford University, Stanford, CA, USA.

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This is a summary of Terrer, C. et al. A trade-off between plant and soil carbon storage under elevated CO2. Nature https://doi.org/10.1038/s41586-021-03306-8 (2021).

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