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opencc-zeroJul 2021View details →

Supplementary material 2 from: Grace JB, Steiner M (2021) A protocol for modelling generalised biological responses using latent variables in structural equation models. One Ecosystem 6: e67320. https://doi.org/10.3897/oneeco.6.e67320

A protocol for modelling generalised biological responses using latent variables in structural equation models

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Species diversity and food web structure jointly shape natural biological control in agricultural landscapes

Land-use change and agricultural intensification concurrently impact natural enemy (e.g., parasitoid) communities and their associated ecosystem services (ESs), i.e., biological pest control. However, the extent to which (on-farm) parasitoid diversity and food webs mediate landscape-level influences on biological control remains poorly understood. Here, drawing upon a 3-year study of quantitative parasitoid-hyperparasitoid trophic networks from 25 different agro-landscapes, we assess the cascading effects of landscape composition, species diversity and trophic network structure on ecosystem functionality (i.e., parasitism, hyperparasitism). Path analysis further reveals causality leading to the biological control of a resident crop pest, i.e., Aphis gossypii. Functionality is dictated by (hyper)parasitoid diversity, with its effects modulated by food web generality and vulnerability. Non-crop habitat cover directly benefits biological control, whereas secondary crop cover indirectly lowers hyperparasitism. Our work underscores a need to simultaneously account for on-farm biodiversity and trophic interactions when investigating ESs within dynamic agro-landscapes.

opencc-zeroDec 2020View details →

opencc-by-nc-nd-4.0Sep 2021View details →

Matrix aggregation of species of Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata registered of the Caribbean Sea and Gulf of Mexico region by Ocean Biodiversity Information Systems of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"

This database consists of an aggregation matrix of species from Ocean Biodiversity Information Systems using as geographic filters the Caribbean Sea region (ID 34287) and the Gulf of Mexico region (ID 34287) nomenclature and hierarchical classification of each Phyla from  World Register of Marine Species used for the calculation of average taxonomic distinction of species belonging to the Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata associated to Autonomous Reefs Monitoring Structures from the research  “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México” *Corresponding autor: edlinguerra@gmail.com BIS Ocean Biodiversity Information System. Available online: <a href="http://www.iobis.org/">www.iobis.org</a>. Horton, T.; Gofas, S.; Kroh, A.; Poore, G.C.B.; Read, G.; Rosenberg, G.; Stöhr, S.; Bailly, N.; Boury-Esnault, N.; Brandão, S.N.; et al. Improving nomenclatural consistency: A decade of experience in the World Register of Marine Species. Eur. J. Taxon. 2017, 2017, doi:10.5852/ejt.2017.389. was produced in collaboration with the Biodiversidad Marina de Yucatán project. <a href="https://www.bdmy.org.mx/carteles-publicaciones/" target="_blank" rel="noopener">https://www.bdmy.org.mx/,</a> Universidad Nacional Autonoma de México and Escuela Nacional de Estudios Superiores

opencc-by-nc-nd-4.0Sep 2021View details →

Database of Incidence per reef and región of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"

*Corresponding autor: edlinguerra@gmail.com This database contains  information of specimens of the cryptofauna assemblages identified by experts of each Phyla per reef and región and is a complementary material of the research “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”. For the present research, animals of the appropriate species and quality were selected and the minimum number required to obtain scientifically valid results were considered, all animals were anesthetized and deposited in National Collections: Colección Regional de Crustáceos de la Península de Yucatán (SEMARNAT number: YUC-CC-255-11), Colección Regional de Moluscos de la Península de Yucatán (SEMARNAT number: YUC. -INV-240-01-11), Colección Regional de Equinodermos de la Península de Yucatán (SEMARNAT number: DGVS-CC-307-18), Colección Regional de Ascidias de la Península de Yucatán (SEMARNAT number: DGVS-CC-306-18), Colección Regional de Briozoos de la Península de Yucatán (SEMARNAT number: DGVS-CC-308-18), Colección Regional de Cnidarios de la Península de Yucatán (SEMARMAT number: YUC-CC-254-11), Colección Regional de Policládidos de la Península de Yucatán (105 Collection CONABIO) and Colección Nacional del Phyla Porifera “Gerardo Green” of Universidad Nacional Autónoma de México, Facultad de Ciencias, Sisal, Mexico (UMDI-Sisal) and within accordance with scientific collection permits: PPF/DGOPA: 295/17, 300/17, 294/17, 293/17, PPF/DGOPA-076/19 issued by Mexico’s State Secretaria de Agricultura, Ganaderia, Desarrollo Rural, Pesca y Alimentación (SAGARPA). CC-BY-NC-N

opencc-by-4.0Jul 2023View details →

Nesting biology and nest structure of the exotic bee Megachile sculpturalis

Dataset analysed in the article entitled "Nesting biology and nest structure of the exotic bee Megachile sculpturalisNesting biology and nest structure of the exotic bee Megachile sculpturalis", by Gherardo Bogo, Alessandro Fisogni, Antonio Iannone, Francesca-Vittoria Grillenzoni, Francesca Corvucci & Laura Bortolotti. This study was conducted during three consecutive years, from 2016 to 2018, on a bee hotel located in the garden of the Research Centre for Agriculture and Environment (CREA-AA) in Bologna, Italy.

Fig. 9 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 9. Experimental ECD spectra of (black) and the calculated ECD spectra (red and green) of 5 and 6. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 10 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 10. Experimental ECD spectrum of 7 (black) and the calculated ECD spectra of 6S,11S,12S-7 (red) and the mirrored 6R,11R,12R-7 (blue). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 3. The key 1H–1H in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 3. The key 1H–1H COSY (red lines) and HMBC (blue arrows, from 1H to 13C) correlations of compounds 1–7. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 2 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 2. Perspective ORTEP drawing of the X-ray structure of 8 (displacement ellipsoids are drawn at the 50% probability level).

Fig. 8 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 8. Application of the modified Mosher's method to 5 and 6. Chemical shift values of ΔδSR [Δ(δS – δR)] are given in ppm. Positive and negative regions are colored blue and red, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 4 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 4. the key NOESY (pink arrows, from 1H to 1H) correlations of compounds 1, 2, 5 and 7. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 6 in Further undescribed cembranoids from South China Sea soft coral Sarcophyton ehrenbergi: Structural elucidation and biological evaluation

Fig. 6. Perspective ORTEP drawings of the X-ray structures of 2 (left) and 3 (right) (displacement ellipsoids are drawn at the 50% probability level).

opennotspecifiedJul 2022View details →

Fig. 3 in Diterpenoids and p-methoxycinnamic acid diol esters from Kaempferia saraburiensis Picheans. (Zingiberaceae): Structural assignment of saraburol and their biological activities

Fig. 3. Selected NOESY correlations for the assignment of the relative configuration and corresponding interatomic distance (Å) of compound 3.

opennotspecifiedJul 2022View details →

Fig. 4 in Diterpenoids and p-methoxycinnamic acid diol esters from Kaempferia saraburiensis Picheans. (Zingiberaceae): Structural assignment of saraburol and their biological activities

Fig. 4. (A) Experimental ECD spectra of compounds 2 (black); TDDFT-calculated curves of normal (blue) and ent series (red), (B) Experimental and calculated ECD spectra of compound 3. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedSep 2022View details →

Fig. 3 in Isosteroidal alkaloids of Fritillaria taipaiensis and their implication to Alzheimer's disease: Isolation, structural elucidation and biological activity

Fig. 3. Key NOESY () correlations for compounds 1–4 [some hydrogens were removed for a clearer exhibition of their 3D structures].

Fig. 10 in Bisabolane-type sesquiterpenoids: Structural diversity and biological activity

Fig. 10. Substitution characteristics and structures of bisabolane-type sesquiterpenoids from species in the genus Bridelia.

Fig. 6 in Bisabolane-type sesquiterpenoids: Structural diversity and biological activity

Fig. 6. Structures of bisabolane-type sesquiterpenoids from species in the genera Coreopsis, Cremanthodium, Dendranthema, Eupatorium, Laggera, Leontopodium, Lychnophora, Scorzonera, and Senecio.

Fig. 13 in Progress in structure, synthesis and biological activity of natural cephalotane diterpenoids

Fig. 13. Cytotoxicity of 19 against KB, A-549, HCT-116, and HepG2 cell lines (IC50 in μM) and cytotoxicity of 39 against HL-60 cell lines (GI50 in μM).

Fig. 12 in Progress in structure, synthesis and biological activity of natural cephalotane diterpenoids

Fig. 12. Cytotoxicity of some Cephalotaxus troponoids against A-549, HeLa, and SGC-7901 cell lines (IC50 in μM).

Fig. 11 in Progress in structure, synthesis and biological activity of natural cephalotane diterpenoids

Fig. 11. Cytotoxicity of some Cephalotaxus troponoids against A-549 and HL-60 cell lines (IC50 in μM).