132 results on '"Abegg M."'
Search Results
2. MONOCULAR DEPTH ESTIMATION IN FOREST ENVIRONMENTS
- Author
-
Hristova, H., primary, Abegg, M., additional, Fischer, C., additional, and Rehush, N., additional
- Published
- 2022
- Full Text
- View/download PDF
3. Evolution of MRI Findings in Patients with Idiopathic Intracranial Hypertension after Venous Sinus Stenting
- Author
-
Belachew, N.F., primary, Almiri, W., additional, Encinas, R., additional, Hakim, A., additional, Baschung, S., additional, Kaesmacher, J., additional, Dobrocky, T., additional, Schankin, C.J., additional, Abegg, M., additional, Piechowiak, E.I., additional, Raabe, A., additional, Gralla, J., additional, and Mordasini, P., additional
- Published
- 2021
- Full Text
- View/download PDF
4. Long-Term Immunosuppression After Solitary Islet Transplantation Is Associated With Preserved C-Peptide Secretion for More Than a Decade
- Author
-
Blau, J. E., Abegg, M. R., Flegel, W. A., Zhao, X., Harlan, D. M., and Rother, K. I.
- Published
- 2015
- Full Text
- View/download PDF
5. Anomalous global effects induced by ‘blind’ distractors in visual hemifield defects
- Author
-
Van der Stigchel, S., Nijboer, T.C.W., Bergsma, D.P., Abegg, M., and Barton, J.J.S.
- Published
- 2010
- Full Text
- View/download PDF
6. Prediction of cortical theta oscillations in humans for phase-locked visual stimulation
- Author
-
Bruegger, D., primary and Abegg, M., additional
- Published
- 2021
- Full Text
- View/download PDF
7. Assessment of a new Goldmann applanation tonometer
- Author
-
Egli, M, Goldblum, D, Kipfer, A, Rohrer, K, Tappeiner, C, Abegg, M, Berger, L, Schoetzau, A, and Iliev, M E
- Published
- 2012
- Full Text
- View/download PDF
8. Abuse of vasoconstrictive eyedrops mimicking an ocular pemphigoid
- Author
-
TAPPEINER, C., SARRA, G.-M., and ABEGG, M.
- Published
- 2009
9. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses
- Author
-
Steidinger, BS, Crowther, TW, Liang, J, Van Nuland, ME, Werner, GDA, Reich, PB, Nabuurs, G, de-Miguel, S, Zhou, M, Picard, N, Herault, B, Zhao, X, Zhang, C, Routh, D, Peay, KG, Abegg, M, Adou Yao, C, Alberti, G, Almeyda Zambrano, A, Alvarez-Davila, E, Alvarez-Loayza, P, Alves, LF, Ammer, C, Antón-Fernández, C, Araujo-Murakami, A, Arroyo, L, Avitabile, V, Aymard, G, Baker, T, Bałazy, R, Banki, O, Barroso, J, Bastian, M, Bastin, JF, Birigazzi, L, Birnbaum, P, Bitariho, R, Boeckx, P, Bongers, F, Bouriaud, O, Brancalion, PHS, Brandl, S, Brearley, FQ, Brienen, R, Broadbent, E, Bruelheide, H, Bussotti, F, Cazzolla Gatti, R, Cesar, R, Cesljar, G, Chazdon, R, Chen, HYH, Chisholm, C, Cienciala, E, Clark, CJ, Clark, D, Colletta, G, Condit, R, Coomes, D, Cornejo Valverde, F, Corral-Rivas, JJ, Crim, P, Cumming, J, Dayanandan, S, de Gasper, AL, Decuyper, M, Derroire, G, DeVries, B, Djordjevic, I, Iêda, A, Dourdain, A, Obiang, NLE, Enquist, B, Eyre, T, Fandohan, AB, Fayle, TM, Feldpausch, TR, Finér, L, Fischer, M, Fletcher, C, Fridman, J, Frizzera, L, Gamarra, JGP, Gianelle, D, Glick, HB, Harris, D, Hector, A, Hemp, A, Hengeveld, G, Herbohn, J, Herold, M, Hillers, A, Honorio Coronado, EN, Huber, M, Hui, C, Cho, H, Ibanez, T, Jung, I, Imai, N, and Jagodzinski, AM
- Abstract
The identity of the dominant root-associated microbial symbionts in a forest determines the ability of trees to access limiting nutrients from atmospheric or soil pools 1,2 , sequester carbon 3,4 and withstand the effects of climate change 5,6 . Characterizing the global distribution of these symbioses and identifying the factors that control this distribution are thus integral to understanding the present and future functioning of forest ecosystems. Here we generate a spatially explicit global map of the symbiotic status of forests, using a database of over 1.1 million forest inventory plots that collectively contain over 28,000 tree species. Our analyses indicate that climate variables—in particular, climatically controlled variation in the rate of decomposition—are the primary drivers of the global distribution of major symbioses. We estimate that ectomycorrhizal trees, which represent only 2% of all plant species 7 , constitute approximately 60% of tree stems on Earth. Ectomycorrhizal symbiosis dominates forests in which seasonally cold and dry climates inhibit decomposition, and is the predominant form of symbiosis at high latitudes and elevation. By contrast, arbuscular mycorrhizal trees dominate in aseasonal, warm tropical forests, and occur with ectomycorrhizal trees in temperate biomes in which seasonally warm-and-wet climates enhance decomposition. Continental transitions between forests dominated by ectomycorrhizal or arbuscular mycorrhizal trees occur relatively abruptly along climate-driven decomposition gradients; these transitions are probably caused by positive feedback effects between plants and microorganisms. Symbiotic nitrogen fixers—which are insensitive to climatic controls on decomposition (compared with mycorrhizal fungi)—are most abundant in arid biomes with alkaline soils and high maximum temperatures. The climatically driven global symbiosis gradient that we document provides a spatially explicit quantitative understanding of microbial symbioses at the global scale, and demonstrates the critical role of microbial mutualisms in shaping the distribution of plant species.
- Published
- 2019
10. Author Correction: Climatic controls of decomposition drive the global biogeography of forest-tree symbioses
- Author
-
Steidinger, B., Crowther, T., Liang, J., Van Nuland, M., Werner, G., Reich, P., Nabuurs, G., de-Miguel, S., Zhou, M., Picard, N., Herault, B., Zhao, X., Zhang, C., Routh, D., Peay, K., Abegg, M., Adou~Yao, C., Alberti, G., Almeyda~Zambrano, A., Alvarez-Davila, E., Alvarez-Loayza, P., Alves, L., Ammer, C., Antón-Fernández, C., Araujo-Murakami, A., Arroyo, L., Avitabile, V., Aymard, G., Baker, T., Ba?azy, R., Banki, O., Barroso, J., Bastian, M., Bastin, J., Birigazzi, L., Birnbaum, P., Bitariho, R., Boeckx, P., Bongers, F., Bouriaud, O., Brancalion, P., Brandl, S., Brearley, F., Brienen, R., Broadbent, E., Bruelheide, H., Bussotti, F., Cazzolla~Gatti, R., Cesar, R., Cesljar, G., Chazdon, R., Chen, H., Chisholm, C., Cienciala, E., Clark, C., Clark, D., Colletta, G., Condit, R., Coomes, D., Cornejo~Valverde, F., Corral-Rivas, J., Crim, P., Cumming, J., Dayanandan, S., de Gasper, A., Decuyper, M., Derroire, G., DeVries, B., Djordjevic, I., Iêda, A., Dourdain, A., Obiang, N., Enquist, B., Eyre, T., Fandohan, A., Fayle, T., Feldpausch, T., Finér, L., Fischer, M., Fletcher, C., Fridman, J., Frizzera, L., Gamarra, J., Gianelle, D., Glick, H., Harris, D., Hector, A., Hemp, A., Hengeveld, G., Herbohn, J., Herold, M., Hillers, A., Honorio Coronado, E., Huber, M., Hui, C., Cho, H., Ibanez, T., Jung, I., Imai, N., Jagodzinski, A., Jaroszewicz, B., Johannsen, V., Joly, C., Jucker, T., Karminov, V., Kartawinata, K., Kearsley, E., Kenfack, D., Kennard, D., Kepfer-Rojas, S., Keppel, G., Khan, M., Killeen, T., Kim, H., Kitayama, K., K{ö}hl, M., Korjus, H., Kraxner, F., Laarmann, D., Lang, M., Lewis, S., Lu, H., Lukina, N., Maitner, B., Malhi, Y., Marcon, E., Marimon, B., Marimon-Junior, B., Marshall, A., Martin, E., Martynenko, O., Meave, J., Melo-Cruz, O., Mendoza, C., Merow, C., Monteagudo~Mendoza, A., Moreno, V., Mukul, S., Mundhenk, P., Nava-Miranda, M., Neill, D., Neldner, V., Nevenic, R., Ngugi, M., Niklaus, P., Oleksyn, J., Ontikov, P., Ortiz-Malavasi, E., Pan, Y., Paquette, A., Parada-Gutierrez, A., Parfenova, E., Park, M., Parren, M., Parthasarathy, N., Peri, P., Pfautsch, S., Phillips, O., Piedade, M., Piotto, D., Pitman, N., Polo, I., Poorter, L., Poulsen, A., Poulsen, J., Pretzsch, H., Ramirez~Arevalo, F., Restrepo-Correa, Z., Rodeghiero, M., Rolim, S., Roopsind, A., Rovero, F., Rutishauser, E., Saikia, P., Saner, P., Schall, P., Schelhaas, M., Schepaschenko, D., Scherer-Lorenzen, M., Schmid, B., Sch{ö}ngart, J., Searle, E., Seben, V., Serra-Diaz, J., Salas-Eljatib, C., Sheil, D., Shvidenko, A., Silva-Espejo, J., Silveira, M., Singh, J., Sist, P., Slik, F., Sonké, B., Souza, A., Stere?czak, K., Svenning, J., Svoboda, M., Targhetta, N., Tchebakova, N., Steege, H., Thomas, R., Tikhonova, E., Umunay, P., Usoltsev, V., Valladares, F., van der Plas, F., Van Do, T., Vasquez~Martinez, R., Verbeeck, H., Viana, H., Vieira, S., von Gadow, K., Wang, H., Watson, J., Westerlund, B., Wiser, S., Wittmann, F., Wortel, V., Zagt, R., Zawila-Niedzwiecki, T., Zhu, Z., Zo-Bi, I., and Systems Ecology
- Subjects
0301 basic medicine ,Biogeography ,Bos- en Landschapsecologie ,02 engineering and technology ,Forest and Nature Conservation Policy ,03 medical and health sciences ,Laboratorium voor Plantenveredeling ,Laboratory of Geo-information Science and Remote Sensing ,Decomposition (computer science) ,Bos- en Natuurbeleid ,Life Science ,Forest and Landscape Ecology ,Bosecologie en Bosbeheer ,Laboratorium voor Geo-informatiekunde en Remote Sensing ,Vegetatie ,Vegetation ,Multidisciplinary ,Ecology ,Published Erratum ,021001 nanoscience & nanotechnology ,PE&RC ,Forest Ecology and Forest Management ,Tree (data structure) ,Plant Breeding ,030104 developmental biology ,Geography ,Biometris ,Vegetatie, Bos- en Landschapsecologie ,Vegetation, Forest and Landscape Ecology ,0210 nano-technology ,Citation - Abstract
In this Letter, the middle initial of author G. J. Nabuurs was omitted, and he should have been associated with an additional affiliation: ‘Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, The Netherlands’ (now added as affiliation 182). In addition, the following two statements have been added to the Supplementary Acknowledgements. (1): ‘We would particularly like to thank The French NFI for the work of the many field teams and engineers, who have made extraordinary efforts to make forest inventory data publicly available.’ (1): ‘Sergio de Miguel benefited from a Serra- Húnter Fellowship provided by the Generalitat of Catalonia.’ Finally, the second sentence of the Methods section should have cited the French NFI, which provided a national forestry database used in our analysis, to read as follows: ‘The GFBi database consists of individual-based data that we compiled from all the regional and national GFBi forest-inventory datasets, including the French NFI (IGN—French National Forest Inventory, raw data, annual campaigns 2005 and following, https://inventaire-forestier.ign.fr/spip.php?rubrique159, site accessed on 01 January 2015)’. All of these errors have been corrected online.
- Published
- 2019
11. Close-range laser scanning in forests: towards physically based semantics across scales
- Author
-
Morsdorf, F., primary, Kükenbrink, D., additional, Schneider, F. D., additional, Abegg, M., additional, and Schaepman, M. E., additional
- Published
- 2018
- Full Text
- View/download PDF
12. Unilateral papilledema after trabeculectomy in a patient with intracranial hypertension
- Author
-
Abegg, M, Fleischhauer, J, Landau, K, University of Zurich, and Landau, K
- Subjects
10018 Ophthalmology Clinic ,610 Medicine & health ,2731 Ophthalmology - Published
- 2008
13. Motility of Bacterial Pathogens in Minimal Media Containing Human Serum
- Author
-
Mendonça, N., primary, Faccio, A., additional, and Abegg, M., additional
- Published
- 2014
- Full Text
- View/download PDF
14. Microcystic macular degeneration from optic neuropathy
- Author
-
Abegg, M., primary, Zinkernagel, M., additional, and Wolf, S., additional
- Published
- 2012
- Full Text
- View/download PDF
15. The word length effect in virtual hemianopia, real hemianopia, and alexia
- Author
-
Sheldon, C., primary, Abegg, M., additional, Sekunova, A., additional, and Barton, J., additional
- Published
- 2011
- Full Text
- View/download PDF
16. Assessment of a new Goldmann applanation tonometer
- Author
-
Egli, M, primary, Goldblum, D, additional, Kipfer, A, additional, Rohrer, K, additional, Tappeiner, C, additional, Abegg, M, additional, Berger, L, additional, Schoetzau, A, additional, and Iliev, M E, additional
- Published
- 2011
- Full Text
- View/download PDF
17. Rapid Adaptation of Visual Search in Simulated Hemianopia
- Author
-
Simpson, S. A., primary, Abegg, M., additional, and Barton, J. J. S., additional
- Published
- 2010
- Full Text
- View/download PDF
18. Short Term Adaptation of Visual Search Strategies in Simulated Hemianopia
- Author
-
Simpson, S., primary, Abegg, M., additional, and Barton, J. J., additional
- Published
- 2010
- Full Text
- View/download PDF
19. Line bisection in simulated homonymous hemianopia
- Author
-
Mitra, A., primary, Viswanathan, J., additional, Abegg, M., additional, and Barton, J., additional
- Published
- 2010
- Full Text
- View/download PDF
20. The global effect induced by "blind" distractors in visual hemifield defects
- Author
-
Van der Stigchel, S., primary, Nijboer, T. C.W., additional, Bergsma, D. D.P., additional, Abegg, M., additional, and Barton, J. J.S., additional
- Published
- 2010
- Full Text
- View/download PDF
21. Trial history biases the spatial programming of antisaccades
- Author
-
Rastgardani, T., primary, Abegg, M., additional, Lau, V., additional, and Barton, J. J S, additional
- Published
- 2010
- Full Text
- View/download PDF
22. Differential effects of partial foreknowledge on efficiency and switch costs of saccadic eye movements
- Author
-
Abegg, M., primary and Barton, J., additional
- Published
- 2010
- Full Text
- View/download PDF
23. Unilateral Papilledema after Trabeculectomy in a Patient with Intracranial Hypertension
- Author
-
Abegg, M, primary, Fleischhauer, J, additional, and Landau, K, additional
- Published
- 2008
- Full Text
- View/download PDF
24. Rise in intraocular pressure during haemodialysis in a patient with reduced outflow facility
- Author
-
Fischer, M D., primary, Fleischhauer, J., additional, Keusch, G., additional, and Abegg, M. H, additional
- Published
- 2007
- Full Text
- View/download PDF
25. Retinal Detachment in Patients with Acute Retinal Necrosis: A Case Series
- Author
-
Abegg, M, primary, Kurz-Levin, M, additional, and Helbig, H, additional
- Published
- 2007
- Full Text
- View/download PDF
26. REVIEWS
- Author
-
ABEGG, M. G., primary
- Published
- 2000
- Full Text
- View/download PDF
27. Isoflurane inhibits cardiac myocyte apoptosis during oxidative and inflammatory stress by activating Akt and enhancing Bcl-2 expression.
- Author
-
Jamnicki-Abegg M, Weihrauch D, Pagel PS, Kersten JR, Bosnjak ZJ, Warltier DC, Bienengraeber MW, Jamnicki-Abegg, Marina, Weihrauch, Dorothee, Pagel, Paul S, Kersten, Judy R, Bosnjak, Zeljko J, Warltier, David C, and Bienengraeber, Martin W
- Published
- 2005
28. Isothermal Decomposition of Explosives
- Author
-
Cook, M. A., primary and Abegg, M. Taylor, additional
- Published
- 1956
- Full Text
- View/download PDF
29. White and gray matter alterations in adults with Niemann-Pick disease type C: A cross-sectional study.
- Author
-
Scheel M, Abegg M, Lanyon LJ, Mattman A, Barton JJ, Walterfang MA, Fahey M, Wood A, Desmond P, and Velakoulis D
- Published
- 2011
- Full Text
- View/download PDF
30. Unilateral Papilledema after Trabeculectomy in a�Patient with Intracranial Hypertension.
- Author
-
Abegg, M, Fleischhauer, J, and Landau, K
- Published
- 2008
- Full Text
- View/download PDF
31. Treatment of branch retinal vein occlusion induced macular edema with bevacizumab.
- Author
-
Abegg M, Tappeiner C, Wolf-Schnurrbusch U, Barthelmes D, Wolf S, and Fleischhauer J
- Abstract
Background: Branch retinal vein occlusion is a frequent cause of visual loss with currently insufficient treatment options. We evaluate the effect of Bevacizumab (Avastin(r)) treatment in patients with macular edema induced by branch retinal vein occlusion. Methods: Retrospective analysis of 32 eyes in 32 patients with fluorescein angiography proven branch retinal vein occlusion, macular edema and Bevacizumab treatment. Outcome measures were best corrected visual acuity in logMAR and central retinal thickness in OCT. Results: Visual acuity was significantly better 4 to 6 weeks after Bevacizumab treatment compared to visual acuity prior to treatment (before 0.7 ± 0.3 and after 0.5 ± 0.3; mean ± standard deviation; p < 0.01, paired t-test). Gain in visual acuity was accompanied by a significant decrease in retinal thickness (454 ± 117 to 305 ± 129 µm, p < 0.01, paired t-test). Follow up (170, 27 - 418 days; median, range) shows that improvement for both visual acuity and retinal thickness last for several months after Bevacizumab use. Conclusion: We present evidence that intravitreal Bevacizumab is an effective and lasting treatment for macular edema after branch retinal vein occlusion. [ABSTRACT FROM AUTHOR]
- Published
- 2008
32. Co-limitation towards lower latitudes shapes global forest diversity gradients
- Author
-
Jingjing Liang, Javier G. P. Gamarra, Nicolas Picard, Mo Zhou, Bryan Pijanowski, Douglass F. Jacobs, Peter B. Reich, Thomas W. Crowther, Gert-Jan Nabuurs, Sergio de-Miguel, Jingyun Fang, Christopher W. Woodall, Jens-Christian Svenning, Tommaso Jucker, Jean-Francois Bastin, Susan K. Wiser, Ferry Slik, Bruno Hérault, Giorgio Alberti, Gunnar Keppel, Geerten M. Hengeveld, Pierre L. Ibisch, Carlos A. Silva, Hans ter Steege, Pablo L. Peri, David A. Coomes, Eric B. Searle, Klaus von Gadow, Bogdan Jaroszewicz, Akane O. Abbasi, Meinrad Abegg, Yves C. Adou Yao, Jesús Aguirre-Gutiérrez, Angelica M. Almeyda Zambrano, Jan Altman, Esteban Alvarez-Dávila, Juan Gabriel Álvarez-González, Luciana F. Alves, Bienvenu H. K. Amani, Christian A. Amani, Christian Ammer, Bhely Angoboy Ilondea, Clara Antón-Fernández, Valerio Avitabile, Gerardo A. Aymard, Akomian F. Azihou, Johan A. Baard, Timothy R. Baker, Radomir Balazy, Meredith L. Bastian, Rodrigue Batumike, Marijn Bauters, Hans Beeckman, Nithanel Mikael Hendrik Benu, Robert Bitariho, Pascal Boeckx, Jan Bogaert, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Susanne Brandl, Francis Q. Brearley, Jaime Briseno-Reyes, Eben N. Broadbent, Helge Bruelheide, Erwin Bulte, Ann Christine Catlin, Roberto Cazzolla Gatti, Ricardo G. César, Han Y. H. Chen, Chelsea Chisholm, Emil Cienciala, Gabriel D. Colletta, José Javier Corral-Rivas, Anibal Cuchietti, Aida Cuni-Sanchez, Javid A. Dar, Selvadurai Dayanandan, Thales de Haulleville, Mathieu Decuyper, Sylvain Delabye, Géraldine Derroire, Ben DeVries, John Diisi, Tran Van Do, Jiri Dolezal, Aurélie Dourdain, Graham P. Durrheim, Nestor Laurier Engone Obiang, Corneille E. N. Ewango, Teresa J. Eyre, Tom M. Fayle, Lethicia Flavine N. Feunang, Leena Finér, Markus Fischer, Jonas Fridman, Lorenzo Frizzera, André L. de Gasper, Damiano Gianelle, Henry B. Glick, Maria Socorro Gonzalez-Elizondo, Lev Gorenstein, Richard Habonayo, Olivier J. Hardy, David J. Harris, Andrew Hector, Andreas Hemp, Martin Herold, Annika Hillers, Wannes Hubau, Thomas Ibanez, Nobuo Imai, Gerard Imani, Andrzej M. Jagodzinski, Stepan Janecek, Vivian Kvist Johannsen, Carlos A. Joly, Blaise Jumbam, Banoho L. P. R. Kabelong, Goytom Abraha Kahsay, Viktor Karminov, Kuswata Kartawinata, Justin N. Kassi, Elizabeth Kearsley, Deborah K. Kennard, Sebastian Kepfer-Rojas, Mohammed Latif Khan, John N. Kigomo, Hyun Seok Kim, Carine Klauberg, Yannick Klomberg, Henn Korjus, Subashree Kothandaraman, Florian Kraxner, Amit Kumar, Relawan Kuswandi, Mait Lang, Michael J. Lawes, Rodrigo V. Leite, Geoffrey Lentner, Simon L. Lewis, Moses B. Libalah, Janvier Lisingo, Pablito Marcelo López-Serrano, Huicui Lu, Natalia V. Lukina, Anne Mette Lykke, Vincent Maicher, Brian S. Maitner, Eric Marcon, Andrew R. Marshall, Emanuel H. Martin, Olga Martynenko, Faustin M. Mbayu, Musingo T. E. Mbuvi, Jorge A. Meave, Cory Merow, Stanislaw Miscicki, Vanessa S. Moreno, Albert Morera, Sharif A. Mukul, Jörg C. Müller, Agustinus Murdjoko, Maria Guadalupe Nava-Miranda, Litonga Elias Ndive, Victor J. Neldner, Radovan V. Nevenic, Louis N. Nforbelie, Michael L. Ngoh, Anny E. N’Guessan, Michael R. Ngugi, Alain S. K. Ngute, Emile Narcisse N. Njila, Melanie C. Nyako, Thomas O. Ochuodho, Jacek Oleksyn, Alain Paquette, Elena I. Parfenova, Minjee Park, Marc Parren, Narayanaswamy Parthasarathy, Sebastian Pfautsch, Oliver L. Phillips, Maria T. F. Piedade, Daniel Piotto, Martina Pollastrini, Lourens Poorter, John R. Poulsen, Axel Dalberg Poulsen, Hans Pretzsch, Mirco Rodeghiero, Samir G. Rolim, Francesco Rovero, Ervan Rutishauser, Khosro Sagheb-Talebi, Purabi Saikia, Moses Nsanyi Sainge, Christian Salas-Eljatib, Antonello Salis, Peter Schall, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Bernhard Schmid, Jochen Schöngart, Vladimír Šebeň, Giacomo Sellan, Federico Selvi, Josep M. Serra-Diaz, Douglas Sheil, Anatoly Z. Shvidenko, Plinio Sist, Alexandre F. Souza, Krzysztof J. Stereńczak, Martin J. P. Sullivan, Somaiah Sundarapandian, Miroslav Svoboda, Mike D. Swaine, Natalia Targhetta, Nadja Tchebakova, Liam A. Trethowan, Robert Tropek, John Tshibamba Mukendi, Peter Mbanda Umunay, Vladimir A. Usoltsev, Gaia Vaglio Laurin, Riccardo Valentini, Fernando Valladares, Fons van der Plas, Daniel José Vega-Nieva, Hans Verbeeck, Helder Viana, Alexander C. Vibrans, Simone A. Vieira, Jason Vleminckx, Catherine E. Waite, Hua-Feng Wang, Eric Katembo Wasingya, Chemuku Wekesa, Bertil Westerlund, Florian Wittmann, Verginia Wortel, Tomasz Zawiła-Niedźwiecki, Chunyu Zhang, Xiuhai Zhao, Jun Zhu, Xiao Zhu, Zhi-Xin Zhu, Irie C. Zo-Bi, Cang Hui, Liang, Jingjing, Gamarra, Javier GP, Picard, Nicolas, Zhou, Mo, Keppel, Gunnar, Hui, Cang, Liang J., Gamarra J.G.P., Picard N., Zhou M., Pijanowski B., Jacobs D.F., Reich P.B., Crowther T.W., Nabuurs G.-J., de-Miguel S., Fang J., Woodall C.W., Svenning J.-C., Jucker T., Bastin J.-F., Wiser S.K., Slik F., Herault B., Alberti G., Keppel G., Hengeveld G.M., Ibisch P.L., Silva C.A., ter Steege H., Peri P.L., Coomes D.A., Searle E.B., von Gadow K., Jaroszewicz B., Abbasi A.O., Abegg M., Yao Y.C.A., Aguirre-Gutierrez J., Zambrano A.M.A., Altman J., Alvarez-Davila E., Alvarez-Gonzalez J.G., Alves L.F., Amani B.H.K., Amani C.A., Ammer C., Ilondea B.A., Anton-Fernandez C., Avitabile V., Aymard G.A., Azihou A.F., Baard J.A., Baker T.R., Balazy R., Bastian M.L., Batumike R., Bauters M., Beeckman H., Benu N.M.H., Bitariho R., Boeckx P., Bogaert J., Bongers F., Bouriaud O., Brancalion P.H.S., Brandl S., Brearley F.Q., Briseno-Reyes J., Broadbent E.N., Bruelheide H., Bulte E., Catlin A.C., Cazzolla Gatti R., Cesar R.G., Chen H.Y.H., Chisholm C., Cienciala E., Colletta G.D., Corral-Rivas J.J., Cuchietti A., Cuni-Sanchez A., Dar J.A., Dayanandan S., de Haulleville T., Decuyper M., Delabye S., Derroire G., DeVries B., Diisi J., Do T.V., Dolezal J., Dourdain A., Durrheim G.P., Obiang N.L.E., Ewango C.E.N., Eyre T.J., Fayle T.M., Feunang L.F.N., Finer L., Fischer M., Fridman J., Frizzera L., de Gasper A.L., Gianelle D., Glick H.B., Gonzalez-Elizondo M.S., Gorenstein L., Habonayo R., Hardy O.J., Harris D.J., Hector A., Hemp A., Herold M., Hillers A., Hubau W., Ibanez T., Imai N., Imani G., Jagodzinski A.M., Janecek S., Johannsen V.K., Joly C.A., Jumbam B., Kabelong B.L.P.R., Kahsay G.A., Karminov V., Kartawinata K., Kassi J.N., Kearsley E., Kennard D.K., Kepfer-Rojas S., Khan M.L., Kigomo J.N., Kim H.S., Klauberg C., Klomberg Y., Korjus H., Kothandaraman S., Kraxner F., Kumar A., Kuswandi R., Lang M., Lawes M.J., Leite R.V., Lentner G., Lewis S.L., Libalah M.B., Lisingo J., Lopez-Serrano P.M., Lu H., Lukina N.V., Lykke A.M., Maicher V., Maitner B.S., Marcon E., Marshall A.R., Martin E.H., Martynenko O., Mbayu F.M., Mbuvi M.T.E., Meave J.A., Merow C., Miscicki S., Moreno V.S., Morera A., Mukul S.A., Muller J.C., Murdjoko A., Nava-Miranda M.G., Ndive L.E., Neldner V.J., Nevenic R.V., Nforbelie L.N., Ngoh M.L., N'Guessan A.E., Ngugi M.R., Ngute A.S.K., Njila E.N.N., Nyako M.C., Ochuodho T.O., Oleksyn J., Paquette A., Parfenova E.I., Park M., Parren M., Parthasarathy N., Pfautsch S., Phillips O.L., Piedade M.T.F., Piotto D., Pollastrini M., Poorter L., Poulsen J.R., Poulsen A.D., Pretzsch H., Rodeghiero M., Rolim S.G., Rovero F., Rutishauser E., Sagheb-Talebi K., Saikia P., Sainge M.N., Salas-Eljatib C., Salis A., Schall P., Schepaschenko D., Scherer-Lorenzen M., Schmid B., Schongart J., Seben V., Sellan G., Selvi F., Serra-Diaz J.M., Sheil D., Shvidenko A.Z., Sist P., Souza A.F., Sterenczak K.J., Sullivan M.J.P., Sundarapandian S., Svoboda M., Swaine M.D., Targhetta N., Tchebakova N., Trethowan L.A., Tropek R., Mukendi J.T., Umunay P.M., Usoltsev V.A., Vaglio Laurin G., Valentini R., Valladares F., van der Plas F., Vega-Nieva D.J., Verbeeck H., Viana H., Vibrans A.C., Vieira S.A., Vleminckx J., Waite C.E., Wang H.-F., Wasingya E.K., Wekesa C., Westerlund B., Wittmann F., Wortel V., Zawila-Niedzwiecki T., Zhang C., Zhao X., Zhu J., Zhu X., Zhu Z.-X., Zo-Bi I.C., Hui C., Purdue University [West Lafayette], Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Groupement d'Interêt Public Ecosystèmes Forestiers GIP ECOFOR (GIP ECOFOR ), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut National Polytechnique Félix Houphouët-Boigny, and Stellenbosch University
- Subjects
Bos- en Landschapsecologie ,WASS ,Plant Ecology and Nature Conservation ,Forests ,[SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy ,Co-limitation ,Ontwikkelingseconomie ,Forest and Nature Conservation Policy ,Trees ,Soil ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Development Economics ,Laboratory of Geo-information Science and Remote Sensing ,Settore BIO/07 - ECOLOGIA ,Life Science ,Laboratorium voor Moleculaire Biologie ,Bos- en Natuurbeleid ,Forest and Landscape Ecology ,Bosecologie en Bosbeheer ,Laboratorium voor Geo-informatiekunde en Remote Sensing ,BIOS Plant Development Systems ,Vegetatie ,Ecology, Evolution, Behavior and Systematics ,biogeography ,biodiversity ,Vegetation ,Ecology ,Biodiversity ,[SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics ,Latitudinal gradients ,PE&RC ,Forest Ecology and Forest Management ,Bioclimatic dominance ,Biogeography ,LATITUDE ,Plantenecologie en Natuurbeheer ,Vegetatie, Bos- en Landschapsecologie ,Vegetation, Forest and Landscape Ecology ,Laboratory of Molecular Biology ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Corporate Governance & Legal Services ,Tree ,Global LDG - Abstract
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers. The team collaboration and manuscript development are supported by the web-based team science platform: science-i.org, with the project number 202205GFB2. We thank the following initiatives, agencies, teams and individuals for data collection and other technical support: the Global Forest Biodiversity Initiative (GFBI) for establishing the data standards and collaborative framework; United States Department of Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program; University of Alaska Fairbanks; the SODEFOR, Ivory Coast; University Félix Houphouët-Boigny (UFHB, Ivory Coast); the Queensland Herbarium and past Queensland Government Forestry and Natural Resource Management departments and staff for data collection for over seven decades; and the National Forestry Commission of Mexico (CONAFOR). We thank M. Baker (Carbon Tanzania), together with a team of field assistants (Valentine and Lawrence); all persons who made the Third Spanish Forest Inventory possible, especially the main coordinator, J. A. Villanueva (IFN3); the French National Forest Inventory (NFI campaigns (raw data 2005 and following annual surveys, were downloaded by GFBI at https://inventaire-forestier.ign.fr/spip.php?rubrique159; site accessed on 1 January 2015)); the Italian Forest Inventory (NFI campaigns raw data 2005 and following surveys were downloaded by GFBI at https://inventarioforestale.org/; site accessed on 27 April 2019); Swiss National Forest Inventory, Swiss Federal Institute for Forest, Snow and Landscape Research WSL and Federal Office for the Environment FOEN, Switzerland; the Swedish NFI, Department of Forest Resource Management, Swedish University of Agricultural Sciences SLU; the National Research Foundation (NRF) of South Africa (89967 and 109244) and the South African Research Chair Initiative; the Danish National Forestry, Department of Geosciences and Natural Resource Management, UCPH; Coordination for the Improvement of Higher Education Personnel of Brazil (CAPES, grant number 88881.064976/2014-01); R. Ávila and S. van Tuylen, Instituto Nacional de Bosques (INAB), Guatemala, for facilitating Guatemalan data; the National Focal Center for Forest condition monitoring of Serbia (NFC), Institute of Forestry, Belgrade, Serbia; the Thünen Institute of Forest Ecosystems (Germany) for providing National Forest Inventory data; the FAO and the United Nations High Commissioner for Refugees (UNHCR) for undertaking the SAFE (Safe Access to Fuel and Energy) and CBIT-Forest projects; and the Amazon Forest Inventory Network (RAINFOR), the African Tropical Rainforest Observation Network (AfriTRON) and the ForestPlots.net initiative for their contributions from Amazonian and African forests. The Natural Forest plot data collected between January 2009 and March 2014 by the LUCAS programme for the New Zealand Ministry for the Environment are provided by the New Zealand National Vegetation Survey Databank https://nvs.landcareresearch.co.nz/. We thank the International Boreal Forest Research Association (IBFRA); the Forestry Corporation of New South Wales, Australia; the National Forest Directory of the Ministry of Environment and Sustainable Development of the Argentine Republic (MAyDS) for the plot data of the Second National Forest Inventory (INBN2); the National Forestry Authority and Ministry of Water and Environment of Uganda for their National Biomass Survey (NBS) dataset; and the Sabah Biodiversity Council and the staff from Sabah Forest Research Centre. All TEAM data are provided by the Tropical Ecology Assessment and Monitoring (TEAM) Network, a collaboration between Conservation International, the Missouri Botanical Garden, the Smithsonian Institution and the Wildlife Conservation Society, and partially funded by these institutions, the Gordon and Betty Moore Foundation and other donors, with thanks to all current and previous TEAM site manager and other collaborators that helped collect data. We thank the people of the Redidoti, Pierrekondre and Cassipora village who were instrumental in assisting with the collection of data and sharing local knowledge of their forest and the dedicated members of the field crew of Kabo 2012 census. We are also thankful to FAPESC, SFB, FAO and IMA/SC for supporting the IFFSC. This research was supported in part through computational resources provided by Information Technology at Purdue, West Lafayette, Indiana.This work is supported in part by the NASA grant number 12000401 ‘Multi-sensor biodiversity framework developed from bioacoustic and space based sensor platforms’ (J. Liang, B.P.); the USDA National Institute of Food and Agriculture McIntire Stennis projects 1017711 (J. Liang) and 1016676 (M.Z.); the US National Science Foundation Biological Integration Institutes grant NSF‐DBI‐2021898 (P.B.R.); the funding by H2020 VERIFY (contract 776810) and H2020 Resonate (contract 101000574) (G.-J.N.); the TEAM project in Uganda supported by the Moore foundation and Buffett Foundation through Conservation International (CI) and Wildlife Conservation Society (WCS); the Danish Council for Independent Research | Natural Sciences (TREECHANGE, grant 6108- 00078B) and VILLUM FONDEN grant number 16549 (J.-C.S.); the Natural Environment Research Council of the UK (NERC) project NE/T011084/1 awarded to J.A.-G. and NE/S011811/1; ERC Advanced Grant 291585 (‘T-FORCES’) and a Royal Society-Wolfson Research Merit Award (O.L.P.); RAINFOR plots supported by the Gordon and Betty Moore Foundation and the UK Natural Environment Research Council, notably NERC Consortium Grants ‘AMAZONICA’ (NE/F005806/1), ‘TROBIT’ (NE/D005590/1) and ‘BIO-RED’ (NE/N012542/1); CIFOR’s Global Comparative Study on REDD+ funded by the Norwegian Agency for Development Cooperation, the Australian Department of Foreign Affairs and Trade, the European Union, the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) and donors to the CGIAR Fund; AfriTRON network plots funded by the local communities and NERC, ERC, European Union, Royal Society and Leverhume Trust; a grant from the Royal Society and the Natural Environment Research Council, UK (S.L.L.); National Science Foundation CIF21 DIBBs: EI: number 1724728 (A.C.C.); National Natural Science Foundation of China (31800374) and Shandong Provincial Natural Science Foundation (ZR2019BC083) (H.L.). UK NERC Independent Research Fellowship (grant code: NE/S01537X/1) (T.J.); a Serra-Húnter Fellowship provided by the Government of Catalonia (Spain) (S.d.-M.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.A.S.); a grant from the Franklinia Foundation (D.A.C.); Russian Science Foundation project number 19-77-300-12 (R.V.); the Takenaka Scholarship Foundation (A.O.A.); the German Research Foundation (DFG), grant number Am 149/16-4 (C.A.); the Romania National Council for Higher Education Funding, CNFIS, project number CNFIS-FDI-2022-0259 (O.B.); Natural Sciences and Engineering Research Council of Canada (RGPIN-2019-05109 and STPGP506284) and the Canadian Foundation for Innovation (36014) (H.Y.H.C.); the project SustES—Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797) (E.C.); Consejo de Ciencia y Tecnología del estado de Durango (2019-01-155) (J.J.C.-R.); Science and Engineering Research Board (SERB), New Delhi, Government of India (file number PDF/2015/000447)— ‘Assessing the carbon sequestration potential of different forest types in Central India in response to climate change’ (J.A.D.); Investissement d’avenir grant of the ANR (CEBA: ANR-10-LABEX-0025) (G.D.); National Foundation for Science & Technology Development of Vietnam, 106-NN.06-2013.01 (T.V.D.); Queensland government, Department of Environment and Science (T.J.E.); a Czech Science Foundation Standard grant (19-14620S) (T.M.F.); European Union Seventh Framework Program (FP7/2007– 2013) under grant agreement number 265171 (L. Finer, M. Pollastrini, F. Selvi); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (J.F.); CNPq productivity grant number 311303/2020-0 (A.L.d.G.); DFG grant HE 2719/11-1,2,3; HE 2719/14-1 (A. Hemp); European Union’s Horizon Europe research project OpenEarthMonitor grant number 101059548, CGIAR Fund INIT-32-MItigation and Transformation Initiative for GHG reductions of Agrifood systems RelaTed Emissions (MITIGATE+) (M.H.); General Directorate of the State Forests, Poland (1/07; OR-2717/3/11; OR.271.3.3.2017) and the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (A.M.J.); Czech Science Foundation 18-10781 S (S.J.); Danish of Ministry of Environment, the Danish Environmental Protection Agency, Integrated Forest Monitoring Program—NFI (V.K.J.); State of São Paulo Research Foundation/FAPESP as part of the BIOTA/FAPESP Program Project Functional Gradient-PELD/BIOTA-ECOFOR 2003/12595-7 & 2012/51872-5 (C.A.J.); Danish Council for Independent Research—social sciences—grant DFF 6109– 00296 (G.A.K.); Russian Science Foundation project 21-46-07002 for the plot data collected in the Krasnoyarsk region (V.K.); BOLFOR (D.K.K.); Department of Biotechnology, New Delhi, Government of India (grant number BT/PR7928/ NDB/52/9/2006, dated 29 September 2006) (M.L.K.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (J.N.K.); Korea Forest Service (2018113A00-1820-BB01, 2013069A00-1819-AA03, and 2020185D10- 2022-AA02) and Seoul National University Big Data Institute through the Data Science Research Project 2016 (H.S.K.); the Brazilian National Council for Scientific and Technological Development (CNPq, grant 442640/2018-8, CNPq/Prevfogo-Ibama number 33/2018) (C.K.); CSIR, New Delhi, government of India (grant number 38(1318)12/EMR-II, dated: 3 April 2012) (S.K.); Department of Biotechnology, New Delhi, government of India (grant number BT/ PR12899/ NDB/39/506/2015 dated 20 June 2017) (A.K.); Coordination for the Improvement of Higher Education Personnel (CAPES) #88887.463733/2019-00 (R.V.L.); National Natural Science Foundation of China (31800374) (H.L.); project of CEPF RAS ‘Methodological approaches to assessing the structural organization and functioning of forest ecosystems’ (AAAA-A18-118052590019-7) funded by the Ministry of Science and Higher Education of Russia (N.V.L.); Leverhulme Trust grant to Andrew Balmford, Simon Lewis and Jon Lovett (A.R.M.); Russian Science Foundation, project 19-77-30015 for European Russia data processing (O.M.); grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (M.T.E.M.); the National Centre for Research and Development, Poland (BIOSTRATEG1/267755/4/NCBR/2015) (S.M.); the Secretariat for Universities and of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund (A. Morera); Queensland government, Department of Environment and Science (V.J.N.); Pinnacle Group Cameroon PLC (L.N.N.); Queensland government, Department of Environment and Science (M.R.N.); the Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-05201) (A.P.); the Russian Foundation for Basic Research, project number 20-05-00540 (E.I.P.); European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 778322 (H.P.); Science and Engineering Research Board, New Delhi, government of India (grant number YSS/2015/000479, dated 12 January 2016) (P.S.); the Chilean Government research grants Fondecyt number 1191816 and FONDEF number ID19 10421 (C.S.-E.); the Deutsche Forschungsgemeinschaft (DFG) Priority Program 1374 Biodiversity Exploratories (P.S.); European Space Agency projects IFBN (4000114425/15/NL/FF/gp) and CCI Biomass (4000123662/18/I-NB) (D. Schepaschenko); FunDivEUROPE, European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 265171 (M.S.-L.); APVV 20-0168 from the Slovak Research and Development Agency (V.S.); Manchester Metropolitan University’s Environmental Science Research Centre (G.S.); the project ‘LIFE+ ForBioSensing PL Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques’ which is co-funded by the EU Life Plus programme (contract number LIFE13 ENV/PL/000048) and the National Fund for Environmental Protection and Water Management in Poland (contract number 485/2014/WN10/OP-NM-LF/D) (K.J.S.); Global Challenges Research Fund (QR allocation, MMU) (M.J.P.S.); Czech Science Foundation project 21-27454S (M.S.); the Russian Foundation for Basic Research, project number 20-05-00540 (N. Tchebakova); Botanical Research Fund, Coalbourn Trust, Bentham Moxon Trust, Emily Holmes scholarship (L.A.T.); the programmes of the current scientific research of the Botanical Garden of the Ural Branch of Russian Academy of Sciences (V.A.U.); FCT—Portuguese Foundation for Science and Technology—Project UIDB/04033/2020. Inventário Florestal Nacional—ICNF (H. Viana); Grant from Kenya Coastal Development Project (KCDP), which was funded by World Bank (C.W.); grants from the Swedish National Forest Inventory, Swedish University of Agricultural Sciences (B.W.); ATTO project (grant number MCTI-FINEP 1759/10 and BMBF 01LB1001A, 01LK1602F) (F.W.); ReVaTene/ PReSeD-CI 2 is funded by the Education and Research Ministry of Côte d’Ivoire, as part of the Debt Reduction-Development Contracts (C2Ds) managed by IRD (I.C.Z.-B.); the National Research Foundation of South Africa (NRF, grant 89967) (C.H.). The Tropical Plant Exploration Group 70 1 ha plots in Continental Cameroon Mountains are supported by Rufford Small Grant Foundation, UK and 4 ha in Sierra Leone are supported by the Global Challenge Research Fund through Manchester Metropolitan University, UK; the National Geographic Explorer Grant, NGS-53344R-18 (A.C.-S.); University of KwaZulu-Natal Research Office grant (M.J.L.); Universidad Nacional Autónoma de México, Dirección General de Asuntos de Personal Académico, Grant PAPIIT IN-217620 (J.A.M.). Czech Science Foundation project 21-24186M (R.T., S. Delabye). Czech Science Foundation project 20-05840Y, the Czech Ministry of Education, Youth and Sports (LTAUSA19137) and the long-term research development project of the Czech Academy of Sciences no. RVO 67985939 (J.A.). The American Society of Primatologists, the Duke University Graduate School, the L.S.B. Leakey Foundation, the National Science Foundation (grant number 0452995) and the Wenner-Gren Foundation for Anthropological Research (grant number 7330) (M.B.). Research grants from Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq, Brazil) (309764/2019; 311303/2020) (A.C.V., A.L.G.). The Project of Sanya Yazhou Bay Science and Technology City (grant number CKJ-JYRC-2022-83) (H.-F.W.). The Ugandan NBS was supported with funds from the Forest Carbon Partnership Facility (FCPF), the Austrian Development Agency (ADC) and FAO. FAO’s UN-REDD Program, together with the project on ‘Native Forests and Community’ Loan BIRF number 8493-AR UNDP ARG/15/004 and the National Program for the Protection of Native Forests under UNDP funded Argentina’s INBN2.
- Published
- 2022
33. Treatment of Branch Retinal Vein Occlusion induced Macular Edema with Bevacizumab
- Author
-
Mathias Abegg, Ute E. K. Wolf-Schnurrbusch, Daniel Barthelmes, Christoph Tappeiner, Johannes Fleischhauer, Sebastian Wolf, University of Zurich, and Abegg, M
- Subjects
Male ,Vascular Endothelial Growth Factor A ,Time Factors ,Visual acuity ,genetic structures ,Visual Acuity ,chemistry.chemical_compound ,lcsh:Ophthalmology ,Fluorescein Angiography ,Aged, 80 and over ,medicine.diagnostic_test ,Antibodies, Monoclonal ,General Medicine ,Middle Aged ,Fluorescein angiography ,2731 Ophthalmology ,Bevacizumab ,Treatment Outcome ,medicine.anatomical_structure ,cardiovascular system ,Female ,medicine.symptom ,Tomography, Optical Coherence ,Research Article ,medicine.drug ,10018 Ophthalmology Clinic ,medicine.medical_specialty ,610 Medicine & health ,Antibodies, Monoclonal, Humanized ,Macular Edema ,Retina ,Injections ,Ophthalmology ,Retinal Vein Occlusion ,medicine ,Humans ,Intravitreal bevacizumab ,Macular edema ,Aged ,Retrospective Studies ,business.industry ,Retinal ,medicine.disease ,eye diseases ,Surgery ,Vitreous Body ,chemistry ,lcsh:RE1-994 ,Branch retinal vein occlusion ,sense organs ,business - Abstract
Background Branch retinal vein occlusion is a frequent cause of visual loss with currently insufficient treatment options. We evaluate the effect of Bevacizumab (Avastin®) treatment in patients with macular edema induced by branch retinal vein occlusion. Methods Retrospective analysis of 32 eyes in 32 patients with fluorescein angiography proven branch retinal vein occlusion, macular edema and Bevacizumab treatment. Outcome measures were best corrected visual acuity in logMAR and central retinal thickness in OCT. Results Visual acuity was significantly better 4 to 6 weeks after Bevacizumab treatment compared to visual acuity prior to treatment (before 0.7 ± 0.3 and after 0.5 ± 0.3; mean ± standard deviation; p < 0.01, paired t-test). Gain in visual acuity was accompanied by a significant decrease in retinal thickness (454 ± 117 to 305 ± 129 μm, p < 0.01, paired t-test). Follow up (170, 27 – 418 days; median, range) shows that improvement for both visual acuity and retinal thickness last for several months after Bevacizumab use. Conclusion We present evidence that intravitreal Bevacizumab is an effective and lasting treatment for macular edema after branch retinal vein occlusion.
- Full Text
- View/download PDF
34. A dataset of 40'000 trees with section-wise measured stem diameter and branch volume from across Switzerland.
- Author
-
Didion M, Herold A, Thürig E, Topuz S, Vulovic Z, Abegg M, Nitzsche J, Stillhard J, and Glatthorn J
- Subjects
- Switzerland, Plant Stems anatomy & histology, Forests, Trees
- Abstract
Estimating growing stock is one of the main objectives of forest inventories. It refers to the stem volume of individual trees which is typically derived by models as it cannot be easily measured directly. These models are thus based on measurable tree dimensions and their parameterization depends on the available empirical data. Historically, such data were collected by measurements of tree stem sizes, which is very time- and cost-intensive. Here, we present an exceptionally large dataset with section-wise stem measurements on 40'349 felled individual trees collected on plots of the Experimental Forest Management project. It is a revised and expanded version of previously unpublished data and contains the empirically derived coarse (diameter ≥7 cm) and fine branch volume of 27'297 and 18'980, respectively, individual trees. The data were collected between 1888 and 1974 across Switzerland covering a large topographic gradient and a diverse species range and can thus support estimations and verification of volume functions also outside Switzerland including the derivation of whole tree volume in a consistent manner., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
35. Integrated global assessment of the natural forest carbon potential.
- Author
-
Mo L, Zohner CM, Reich PB, Liang J, de Miguel S, Nabuurs GJ, Renner SS, van den Hoogen J, Araza A, Herold M, Mirzagholi L, Ma H, Averill C, Phillips OL, Gamarra JGP, Hordijk I, Routh D, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon RL, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Gann GD, and Crowther TW
- Subjects
- Biodiversity, Human Activities, Environmental Restoration and Remediation trends, Sustainable Development trends, Global Warming prevention & control, Carbon analysis, Carbon metabolism, Carbon Sequestration, Conservation of Natural Resources statistics & numerical data, Conservation of Natural Resources trends, Forests
- Abstract
Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system
1 . Remote-sensing estimates to quantify carbon losses from global forests2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151-363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets., (© 2023. The Author(s).)- Published
- 2023
- Full Text
- View/download PDF
36. The global biogeography of tree leaf form and habit.
- Author
-
Ma H, Crowther TW, Mo L, Maynard DS, Renner SS, van den Hoogen J, Zou Y, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Niinemets Ü, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Fridman J, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTF, Piotto D, Pitman NCA, Mendoza-Polo I, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miścicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Westerlund B, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Zohner CM
- Subjects
- Humans, Forests, Plant Leaves metabolism, Habits, Carbon metabolism, Trees metabolism, Ecosystem
- Abstract
Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
37. Author Correction: Native diversity buffers against severity of non-native tree invasions.
- Author
-
Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS
- Published
- 2023
- Full Text
- View/download PDF
38. Unilateral corneal arcus and conjunctival vessel alterations in cranial autonomic dysregulation: A case report.
- Author
-
Dysli M, Abegg M, Kerkeni H, Kalla R, and Tappeiner C
- Subjects
- Humans, Headache, Conjunctiva, Arcus Senilis, Migraine Disorders, Cluster Headache diagnosis
- Abstract
Background: Cranial autonomic dysregulation is a common symptom of patients suffering from cluster headache or migraine. The peripheral vascular dysfunction may increase the risk for ischemic or hemorrhagic strokes, myocardial infarction, retinal vasculopathy, cardiovascular mortality, and peripheral artery diseases. Furthermore, it may also manifest with ocular symptoms, e.g., increased lacrimation, conjunctival injection, and facial swelling., Case Presentation: We here report a case of a patient with migraine and ocular signs of a vascular dysregulation that have led to persisting changes of conjunctival vessels and to a corneal arcus., Conclusions: Autonomic vascular dysregulation may not only cause headaches but also persisting changes of ocular tissues, e.g., conjunctival vessel alterations and a corneal arcus.
- Published
- 2023
- Full Text
- View/download PDF
39. Native diversity buffers against severity of non-native tree invasions.
- Author
-
Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS
- Subjects
- Databases, Factual, Human Activities, Phylogeny, Rain, Temperature, Biodiversity, Introduced Species statistics & numerical data, Introduced Species trends, Trees classification, Trees physiology, Environment
- Abstract
Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species
1,2 . Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies3,4 . Here, leveraging global tree databases5-7 , we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions., (© 2023. The Author(s).)- Published
- 2023
- Full Text
- View/download PDF
40. In silico and in vitro analysis of the mechanisms of action of nitroxoline against some medically important opportunistic fungi.
- Author
-
de Chaves MA, da Costa BS, de Souza JA, Batista MA, de Andrade SF, Hage-Melim LIDS, Abegg M, Lopes MS, and Fuentefria AM
- Subjects
- Humans, Molecular Docking Simulation, Cytochrome P-450 CYP4A, Methionine, Fungi, Antifungal Agents pharmacology, Aminopeptidases
- Abstract
The increasing resistance to antifungal agents associated with toxicity and interactions turns therapeutic management of fungal infections difficult. This scenario emphasizes the importance of drug repositioning, such as nitroxoline - a urinary antibacterial agent that has shown potential antifungal activity. The aims of this study were to discover the possible therapeutic targets of nitroxoline using an in silico approach, and to determine the in vitro antifungal activity of the drug against the fungal cell wall and cytoplasmic membrane. We explored the biological activity of nitroxoline using PASS, SwissTargetPrediction and Cortellis Drug Discovery Intelligence web tools. After confirmation, the molecule was designed and optimized in HyperChem software. GOLD 2020.1 software was used to predict the interactions between the drug and the target proteins. In vitro investigation evaluated the effect of nitroxoline on the fungal cell wall through sorbitol protection assay. Ergosterol binding assay was carried out to assess the effect of the drug on the cytoplasmic membrane. In silico investigation revealed biological activity with alkane 1-monooxygenase and methionine aminopeptidase enzymes, showing nine and five interactions in the molecular docking, respectively. In vitro results exhibited no effect on the fungal cell wall or cytoplasmic membrane. Finally, nitroxoline has potential as an antifungal agent due to the interaction with alkane 1-monooxygenase and methionine aminopeptidase enzymes, which are not the main human therapeutic targets. These results have potentially revealed a new biological target for the treatment of fungal infections. We also consider that further studies are required to confirm the biological activity of nitroxoline on fungal cells, mainly the confirmation of the alkB gene., Competing Interests: Declaration of Competing Interest The authors have no conflict of interest to declare., (Copyright © 2023. Published by Elsevier Masson SAS.)
- Published
- 2023
- Full Text
- View/download PDF
41. Detection of Relative Afferent Pupillary Defects Using Eye Tracking and a VR Headset.
- Author
-
Bruegger D, Grabe HM, Vicini R, Dysli M, Lussi D, and Abegg M
- Subjects
- Humans, Feasibility Studies, Cross-Sectional Studies, Male, Female, Child, Adolescent, Adult, Middle Aged, Aged, Aged, 80 and over, Eye-Tracking Technology, Pupil Disorders, Virtual Reality
- Abstract
Purpose: The purpose of this study was to assess the feasibility of detecting relative afferent pupillary defects (RAPDs) using a commercial virtual reality headset equipped with an eye tracker., Methods: This is a cross-sectional study in which we compare the new computerized RAPD test with the traditional clinical standard using the swinging flashlight test. Eighty-two participants including 20 healthy volunteers aged 10 to 88 years were enrolled in this study. We present a bright/dark stimulus alternating between the eyes every 3 seconds using a virtual reality headset, and we simultaneously record changes in pupil size. To determine the presence of an RAPD, we developed an algorithm analyzing the pupil size differences. For the assessment of the performance of the automated and the manual measurement a post hoc impression based on all available data is created. The accuracy of the manual clinical evaluation and the computerized method is compared using confusion matrices and the gold standard of the post hoc impression. The latter is based on all available clinical information., Results: We found that the computerized method detected RAPD with a sensitivity of 90.2% and an accuracy of 84.4%, as compared to the post hoc impression. This was not significantly different from the clinical evaluation with a sensitivity of 89.1% and an accuracy of 88.3%., Conclusions: The presented method offers an accurate, easy to use, and fast method to measure an RAPD. In contrast to today's clinical practice, the measures are quantitative and objective., Translational Relevance: Computerized testing of Relative Afferent Pupillary Defects (RAPD) using a VR-headset and eye-tracking reaches non-inferior performance compared with senior neuro-ophthalmologists.
- Published
- 2023
- Full Text
- View/download PDF
42. Global patterns of tree density are contingent upon local determinants in the world's natural forests.
- Author
-
Madrigal-González J, Calatayud J, Ballesteros-Cánovas JA, Escudero A, Cayuela L, Marqués L, Rueda M, Ruiz-Benito P, Herrero A, Aponte C, Sagardia R, Plumptre AJ, Dupire S, Espinosa CI, Tutubalina OV, Myint M, Pataro L, López-Sáez J, Macía MJ, Abegg M, Zavala MA, Quesada-Román A, Vega-Araya M, Golubeva E, Timokhina Y, Bañares de Dios G, Granzow-de la Cerda Í, and Stoffel M
- Subjects
- Ecosystem, Climate, Climate Change, Trees, Forests
- Abstract
Previous attempts to quantify tree abundance at global scale have largely neglected the role of local competition in modulating the influence of climate and soils on tree density. Here, we evaluated whether mean tree size in the world's natural forests alters the effect of global productivity on tree density. In doing so, we gathered a vast set of forest inventories including >3000 sampling plots from 23 well-conserved areas worldwide to encompass (as much as possible) the main forest biomes on Earth. We evidence that latitudinal productivity patterns of tree density become evident as large trees become dominant. Global estimates of tree abundance should, therefore, consider dependencies of latitudinal sources of variability on local biotic influences to avoid underestimating the number of trees on Earth and to properly evaluate the functional and social consequences., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
43. MRI signs helpful in the differentiation of patients with anterior ischaemic optic neuropathy and optic neuritis.
- Author
-
Petroulia VD, Brügger D, Hoepner R, Vicini R, Winklehner A, Abegg M, and Wagner F
- Subjects
- Humans, Retrospective Studies, Diagnosis, Differential, Magnetic Resonance Imaging methods, Optic Neuropathy, Ischemic diagnostic imaging, Optic Neuropathy, Ischemic pathology, Optic Neuritis diagnostic imaging, Optic Neuritis pathology
- Abstract
Background/aims: The aim of this study was to identify specific MRI characteristics of anterior ischaemic optic neuropathy (AION) and optic neuritis (ON) that would aid in the differentiation between these two diagnoses., Methods: We retrospectively analysed a consecutive case series including all patients with an MRI study of brain and orbit and the clinical diagnosis of either ON or AION. We examined the scans for restricted diffusion of the optic nerve, optic sheath diameter, enhancement and location of enhancement of the optic nerve and distribution of the white matter lesions., Results: Fifty patients met the inclusion criteria. We found an accuracy of 0.98 for the discrimination between AION and ON based solely on parameters extracted from MRI data. Dominance analysis to determine the most influential parameters showed that the enhancement pattern of the optic nerve and distribution of the white matter lesions had the biggest impact on the classification and led to a discrimination accuracy of 0.9 when used alone., Conclusion: In patients with an inconclusive clinical diagnosis, optic nerve enhancement pattern and distribution of white matter lesions can aid in the diagnosis and differentiation between AION and ON. Diffusion-weighted imaging did not add significant information to the diagnosis or help to differentiate between the two conditions., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2023
- Full Text
- View/download PDF
44. Diagnosis and classification of optic neuritis.
- Author
-
Petzold A, Fraser CL, Abegg M, Alroughani R, Alshowaeir D, Alvarenga R, Andris C, Asgari N, Barnett Y, Battistella R, Behbehani R, Berger T, Bikbov MM, Biotti D, Biousse V, Boschi A, Brazdil M, Brezhnev A, Calabresi PA, Cordonnier M, Costello F, Cruz FM, Cunha LP, Daoudi S, Deschamps R, de Seze J, Diem R, Etemadifar M, Flores-Rivera J, Fonseca P, Frederiksen J, Frohman E, Frohman T, Tilikete CF, Fujihara K, Gálvez A, Gouider R, Gracia F, Grigoriadis N, Guajardo JM, Habek M, Hawlina M, Martínez-Lapiscina EH, Hooker J, Hor JY, Howlett W, Huang-Link Y, Idrissova Z, Illes Z, Jancic J, Jindahra P, Karussis D, Kerty E, Kim HJ, Lagrèze W, Leocani L, Levin N, Liskova P, Liu Y, Maiga Y, Marignier R, McGuigan C, Meira D, Merle H, Monteiro MLR, Moodley A, Moura F, Muñoz S, Mustafa S, Nakashima I, Noval S, Oehninger C, Ogun O, Omoti A, Pandit L, Paul F, Rebolleda G, Reddel S, Rejdak K, Rejdak R, Rodriguez-Morales AJ, Rougier MB, Sa MJ, Sanchez-Dalmau B, Saylor D, Shatriah I, Siva A, Stiebel-Kalish H, Szatmary G, Ta L, Tenembaum S, Tran H, Trufanov Y, van Pesch V, Wang AG, Wattjes MP, Willoughby E, Zakaria M, Zvornicanin J, Balcer L, and Plant GT
- Subjects
- Humans, Retrospective Studies, Autoantibodies, Aquaporin 4, Optic Neuritis diagnosis, Neuromyelitis Optica diagnosis, Multiple Sclerosis complications
- Abstract
There is no consensus regarding the classification of optic neuritis, and precise diagnostic criteria are not available. This reality means that the diagnosis of disorders that have optic neuritis as the first manifestation can be challenging. Accurate diagnosis of optic neuritis at presentation can facilitate the timely treatment of individuals with multiple sclerosis, neuromyelitis optica spectrum disorder, or myelin oligodendrocyte glycoprotein antibody-associated disease. Epidemiological data show that, cumulatively, optic neuritis is most frequently caused by many conditions other than multiple sclerosis. Worldwide, the cause and management of optic neuritis varies with geographical location, treatment availability, and ethnic background. We have developed diagnostic criteria for optic neuritis and a classification of optic neuritis subgroups. Our diagnostic criteria are based on clinical features that permit a diagnosis of possible optic neuritis; further paraclinical tests, utilising brain, orbital, and retinal imaging, together with antibody and other protein biomarker data, can lead to a diagnosis of definite optic neuritis. Paraclinical tests can also be applied retrospectively on stored samples and historical brain or retinal scans, which will be useful for future validation studies. Our criteria have the potential to reduce the risk of misdiagnosis, provide information on optic neuritis disease course that can guide future treatment trial design, and enable physicians to judge the likelihood of a need for long-term pharmacological management, which might differ according to optic neuritis subgroups., Competing Interests: Declaration of interests AP received grant support for remyelination trials in multiple sclerosis to the Amsterdam University Medical Centre, Department of Neurology, MS Centre (RESTORE trial), and UCL, London RECOVER trial; received grant fees from Fight for Sight (nimodipine in optic neuritis trial); received royalties or licenses from Up-to-Date (Wolters Kluwer) for a book chapter; received speaker fees for the Heidelberg Academy; participates on advisory board for SC Zeiss OCTA Angi-Network, and the SC Novartis OCTiMS study; holds leadership roles for governing board IMSVISUAL; was chairman of ERN-EYE Neuro-ophthalmology (until Oct, 2020); is board member of National Dutch Neuro-ophthalmology Association; received equipment from OCTA from Zeiss (Plex Elite); and received medical writing support from Novartis for a manuscript (https://doi.org/10.1002/acn3.51473). CF received consulting fees from Invex Therapeutics; received speaker honoraria from University of Dunedin; and holds leadership as Director of Royal Australian and New Zealand College of Ophthalmologists. VB received personal fees as consultant for Gensight and Neurophoenix. PC obtained grants from Annexon, Biogen, Genentech; received royalties from Cambridge Press for an OCT book; received consulting fees from Disarm Therapeutics, Nervgen, Biogen, Avidea; received honoraria from NY Academy of Sciences; and received equipment from Myelin Repair Foundation, Academic CME, Neuraly, and Landos. FC received speaker honoraria from Alexion, Accure Therapeutics, and the Sumiara Foundation. RDe obtained consulting fees from Alexion. JdS received consulting fees from Biogen, Teva, BMS Celegen, Roche, Novartis, Janssen, Merck, Alexion, CSL Behring; and honoraria from Biogen, Teva, BMS Celegen, Roche, Novartis, Janssen, Merck, Alexion, and CSL Behring. JFR received consulting fees from Roche, and Sanofi. EF holds honoraria from Alexion, Genzyme, Biogen, Novartis, and Janssen. TF holds honoraria from Alexion. CFT received honoraria from Novartis; and received support for attending meetings and travel from Novartis and Teva. KF obtained grants from Ministry of Education, Science and Technology of Japan as well as the Ministry of Health, Welfare and Labor of Japan; received consulting fees from Alexion Chugai-Roche Mitsubishi Tanabe, Novartis, Biogen, Eisai, Takeda, Teijin, Viela Bio, UCB, Merck, Japan Tobacco Pharma, and Abbvie; received honoraria from Alexion, Chugai-Roche, Mitsubishi Tanabe, Novartis, Biogen, Eisai, Takeda, Asahi Kasei Medical, Teijin, and Bayer; participated on a data safety monitoring board or advisory board from Alexion, Chugai, Mitsubishi Tanabe, Novartis, Biogen, Eisai, Takeda, Asahi Kasei Medical, Teijin, UCB, and Viela Bio; and received medical writing support from Oxford PharmaGenesis and Apothecom. RG acquired personal fees for participation on data safety monitoring boards, and served on the advisory boards for Biogen, Hikma, Merck, Roche, and Sanofi as well as receiving a grant from Roche. FG received grants or contracts from Roche (NMO epidemiologic studies) and Novartis (MS epidemiologic studies); received honoraria from for lectures from Roche, Novartis, Stendhal, and Merck; received support for attending meetings from the European Charcot Foundation, and ECTRIMS; and reports leadership of FOCEM (Foro Centroamericano y del Caribe de la Esclerosis Múltiple y otras enfermedades desmielinizantes del Sistema Nervioso Central) and Academia Panameña de Medicina y Cirugía (both unpaid). MHab obtained honoraria from Biogen, Sanofi Genzyme, Merck, Bayer, Novartis, Pliva-Teva, Roche, and Zentiva; received support for attending meetings from Biogen, Sanofi Genzyme, Merck, Bayer, Novartis, Pliva-Teva, and Roche; and participated on advisory board for Biogen, Sanofi Genzyme, Merck, Bayer, Novartis, Pliva-Teva, and Roche. ZIl obtained grants or contracts from Biogen and Alexion; received honoraria from Biogen, Novartis, Roche, Merck, and Alexion; received payment for expert testimony from Roche; received support for attending meetings and travel from Biogen and Sanofi; and participated on a data safety monitoring board or advisory board from Biogen, Novartis, Merck, Sanofi, Roche, and Alexion. HJK received grants or contracts from National Research Foundation of Korea, Aprilbio, and Eisai; received consulting fees from Aprilbio, Daewoong, HanAll BioPharma, MDimune, Roche, Sanofi Genzyme, Teva-Handok, UCB, and Viela Bio; and received honoraria from Alexion, Biogen, Celltrion, Eisai, GC Pharma, Merck Serono, Novartis, Sanofi Genzyme, and Teva-Handok. RM received consulting fees from UCB, Alexion, Merck, Viela Bio, Novartis, and Roche; and participated on an advisory board for Viela Bio and Roche. FP obtained research support from Alexion; received grants or contracts from German Ministry for Research Support Recipient Charité Education and Research (BMBF), Deutsche Forschungsgemeinschaft (DFG), Einstein Foundation, Guthy Jackson Charitable Foundation, EU FP7 Framework Program, Biogen, Genzyme, Merck, Serono, Novartis, Bayer, Roche, Parexel, and Almirall; received honoraria from the Guthy Jackson Foundation, Bayer, Biogen, Merck Serono, Sanofi Genzyme, Novartis, Viela Bio, Roche, UCB, Mitsubishi Tanabe, and Celgene; received support for attending meetings from Guthy Jackson Foundation, Bayer, Biogen, Merck Serono, Sanofi Genzyme, Novartis, Alexion, Viela Bio, Roche, UCB, Mitsubishi Tanabe, and Celgene; participated on an advisory board for Celgene, Roche, UCB, Merck; and reports leadership as academic editor for Plos One, and associate editor for Neurology, Neuroimmunology, and Neuroinflammation. MBR received support for attending meeting from Novartis. BSD received consulting fees from Chiesi; received honoraria from Chiesi and Sanofi; received support for attending meetings from Bausch + Lomb; participated on an advisory board for Chiesi; and has stock options from Accure Therapeutics. DS received grants or contracts from National Institute of Neurological Disorders and Stroke (NINDS), National Institute of Mental Health (NIMH), American Academy of Neurology (AAN), National Institute of Aging (NIA), National Multiple Sclerosis Society (NMSS), and United States Department of State; and was a committee member for Multiple Sclerosis International Federation (MSIF) and American Neurological Association (ANA). AS received grants or contracts from the Turkish MS society, and Istanbul University Research Support Grants; received consulting fees from Roche, Merck Serono, Biogen, Gen Pharma of Türkiye, Sanofi Genzyme, and Novartis; received honoraria from Sanofi Genzyme, Novartis, Roche, and Teva; and received support for attending meetings from Sanofi Genzyme. VvP obtained grants or contracts from Biogen; received consulting fees from Biogen, Merck, Sanofi, BMS, Novartis, Janssen, Almirall, and Roche; received honoraria from Biogen, Merck, Sanofi, BMS, Novartis, Roche; and received support for attending meetings from Biogen, Roche, and Almirall. MPW received royalties from Springer Healthcare and Elsevier; received consulting fees from Biogen, Roche, Biologix, Novartis, BMS-Celgene, Imcyse, Merck Serono, Sanofi Aventis, IXICO, and Icometrix; received honoraria from Bayer, Biogen, Biologix, Genilac, Novartis, Medison, Merck Serono, Roche, Sanofi Aventis, and BMS-Celgene; and participated on a data safety monitoring board for VU University Medical Center. LB received consulting fees as editor for the Journal of Neuro-Ophthalmology. GTP is an Emeritus editor for Neuro-ophthalmology. All other authors declare no competing interests., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
45. Retinal layer segmentation in a cohort of healthy children via optical coherence tomography.
- Author
-
Runge AK, Remlinger J, Abegg M, Ferrazzini T, Brügger D, Weigt-Usinger K, Lücke T, Gold R, and Salmen A
- Subjects
- Adult, Male, Female, Humans, Child, Retinal Ganglion Cells pathology, Cross-Sectional Studies, Prospective Studies, Retina diagnostic imaging, Retina pathology, Tomography, Optical Coherence methods, Nerve Fibers pathology
- Abstract
Background: High-resolution optical coherence tomography (OCT) allows the detection of macular pathology and involvement of the optic nerve in a wide spectrum of diseases. For the differentiation of diseased and healthy status, normal values of retinal layer segmentation are critical. Yet, normative values mostly cover adult populations with only sparse data for paediatric cohorts. We present data of retinal layer characteristics via OCT in a healthy paediatric cohort., Methods: This prospective cross-sectional study screened 75 healthy children (male = 42, female = 33, range 4-17 years) without visual problems. OCT was performed with a peripapillary ring and macula scan protocol to determine paediatric normative values for routine parameters (peripapillary retinal nerve fibre layer thickness (pRNFL), total macular volume (TMV), macular retinal thickness (RT)). The macula scan (6mm grid) was segmented using the device-inherent automated segmentation software (Heidelberg Eye Explorer) for retinal layers: RNFL, ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer (INL), outer plexiform layer (OPL), outer nuclear layer (ONL) in 9 segments each and mean of the 9 segments., Results: We obtained OCT data of 72 children with mean age 12.49 years (standard deviation, SD, 2.18; minimum 3.93). Mean global pRNFL was 102.20 μm (SD 8.24), mean TMV 8.81 mm3 (0.30) and mean RT (all segments) 318.22 μm (10.19). Segmented macular retinal layer thicknesses (mean of all segments) were: RNFL 27.67 μm (2.14), GCL 41.94 μm (2.50), IPL 34.97 μm (2.10), INL 35.18 μm (2.15), OPL 29.06 μm (2.24), ONL 68.35 μm (6.20)., Conclusion: The OCT is a useful non-invasive imaging technique for the examination of the retina in children with short duration, high imaging resolution and no known adverse effects. Normative values may serve as a comparator for different neuropaediatric disorders and are first presented with this study using an up-to-date and standardized OCT imaging technique., Competing Interests: RG has received speaker and board honoraria from Baxter, Bayer Schering, Biogen Idec, Bristol Meyer Squibb, CSL Behring, Eisai, Genzyme, Janssen, Merck Serono, Novartis, Stendhal, Talecris and TEVA. His department has received grant support from Bayer Schering, BiogenIdec, Genzyme, Merck Serono, Novartis and TEVA. All of RG’s declarations are unrelated to the content of this manuscript. AS has received speaker honoraria and/or travel compensation for activities with Bristol Myers Squibb, Novartis, and Roche, and research support by the Swiss MS Society and Baasch Medicus Foundation, not related to this manuscript. AKR, MA, JR, TF, DB, KWU, TL, RG, AS have no competing interests to declare that are relevant to the content of this article.
- Published
- 2022
- Full Text
- View/download PDF
46. Co-limitation towards lower latitudes shapes global forest diversity gradients.
- Author
-
Liang J, Gamarra JGP, Picard N, Zhou M, Pijanowski B, Jacobs DF, Reich PB, Crowther TW, Nabuurs GJ, de-Miguel S, Fang J, Woodall CW, Svenning JC, Jucker T, Bastin JF, Wiser SK, Slik F, Hérault B, Alberti G, Keppel G, Hengeveld GM, Ibisch PL, Silva CA, Ter Steege H, Peri PL, Coomes DA, Searle EB, von Gadow K, Jaroszewicz B, Abbasi AO, Abegg M, Yao YCA, Aguirre-Gutiérrez J, Zambrano AMA, Altman J, Alvarez-Dávila E, Álvarez-González JG, Alves LF, Amani BHK, Amani CA, Ammer C, Ilondea BA, Antón-Fernández C, Avitabile V, Aymard GA, Azihou AF, Baard JA, Baker TR, Balazy R, Bastian ML, Batumike R, Bauters M, Beeckman H, Benu NMH, Bitariho R, Boeckx P, Bogaert J, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Briseno-Reyes J, Broadbent EN, Bruelheide H, Bulte E, Catlin AC, Cazzolla Gatti R, César RG, Chen HYH, Chisholm C, Cienciala E, Colletta GD, Corral-Rivas JJ, Cuchietti A, Cuni-Sanchez A, Dar JA, Dayanandan S, de Haulleville T, Decuyper M, Delabye S, Derroire G, DeVries B, Diisi J, Do TV, Dolezal J, Dourdain A, Durrheim GP, Obiang NLE, Ewango CEN, Eyre TJ, Fayle TM, Feunang LFN, Finér L, Fischer M, Fridman J, Frizzera L, de Gasper AL, Gianelle D, Glick HB, Gonzalez-Elizondo MS, Gorenstein L, Habonayo R, Hardy OJ, Harris DJ, Hector A, Hemp A, Herold M, Hillers A, Hubau W, Ibanez T, Imai N, Imani G, Jagodzinski AM, Janecek S, Johannsen VK, Joly CA, Jumbam B, Kabelong BLPR, Kahsay GA, Karminov V, Kartawinata K, Kassi JN, Kearsley E, Kennard DK, Kepfer-Rojas S, Khan ML, Kigomo JN, Kim HS, Klauberg C, Klomberg Y, Korjus H, Kothandaraman S, Kraxner F, Kumar A, Kuswandi R, Lang M, Lawes MJ, Leite RV, Lentner G, Lewis SL, Libalah MB, Lisingo J, López-Serrano PM, Lu H, Lukina NV, Lykke AM, Maicher V, Maitner BS, Marcon E, Marshall AR, Martin EH, Martynenko O, Mbayu FM, Mbuvi MTE, Meave JA, Merow C, Miscicki S, Moreno VS, Morera A, Mukul SA, Müller JC, Murdjoko A, Nava-Miranda MG, Ndive LE, Neldner VJ, Nevenic RV, Nforbelie LN, Ngoh ML, N'Guessan AE, Ngugi MR, Ngute ASK, Njila ENN, Nyako MC, Ochuodho TO, Oleksyn J, Paquette A, Parfenova EI, Park M, Parren M, Parthasarathy N, Pfautsch S, Phillips OL, Piedade MTF, Piotto D, Pollastrini M, Poorter L, Poulsen JR, Poulsen AD, Pretzsch H, Rodeghiero M, Rolim SG, Rovero F, Rutishauser E, Sagheb-Talebi K, Saikia P, Sainge MN, Salas-Eljatib C, Salis A, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Šebeň V, Sellan G, Selvi F, Serra-Diaz JM, Sheil D, Shvidenko AZ, Sist P, Souza AF, Stereńczak KJ, Sullivan MJP, Sundarapandian S, Svoboda M, Swaine MD, Targhetta N, Tchebakova N, Trethowan LA, Tropek R, Mukendi JT, Umunay PM, Usoltsev VA, Vaglio Laurin G, Valentini R, Valladares F, van der Plas F, Vega-Nieva DJ, Verbeeck H, Viana H, Vibrans AC, Vieira SA, Vleminckx J, Waite CE, Wang HF, Wasingya EK, Wekesa C, Westerlund B, Wittmann F, Wortel V, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhu J, Zhu X, Zhu ZX, Zo-Bi IC, and Hui C
- Subjects
- Soil, Trees, Biodiversity, Forests
- Abstract
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
- Published
- 2022
- Full Text
- View/download PDF
47. Evaluation of the Reddesa Chart, a New Red Desaturation Testing Method, for Optic Neuritis Screening and Grading in Clinical Routine.
- Author
-
Bruegger D, Koth AL, Dysli M, Goldblum D, Abegg M, Tschopp M, and Tappeiner C
- Abstract
Background: Optic neuritis usually leads to reduced color sensitivity. Most often, the change of red color, the so-called red desaturation, is tested in clinical routine. The aim of this study was to test the feasibility of the Reddesa chart, a new red desaturation test based on polarization, as a screening method for optic neuropathy., Methods: A total of 20 patients with unilateral optic neuritis and 20 healthy controls were included in this prospective pilot study. Ophthalmological examination included assessment of best corrected visual acuity (BCVA), slit lamp examination, fundoscopy, testing of relative afferent pupillary defect (RAPD) and red desaturation with the red cup test and the Reddesa chart., Results: The mean BCVA in the optic neuritis group was 0.76 ± 0.36 in the affected eye (95% of eyes with RAPD, 75% of eyes with difference in the Reddesa test) and 1.28 ± 0.24 in the healthy eye, whereas in the control group, BCVA was 1.14 ± 0.11 in the right eye and 1.15 ± 0.14 in the left eye (none of the eyes with RAPD or abnormal Reddesa test). In our study, the Reddesa test showed a positive predictive value of 100% and a negative predictive value of 80% for detecting optic neuritis., Conclusion: The Reddesa chart allows to quantify red desaturation and has the potential to be implemented as a screening test in clinical routine., Competing Interests: Reddesa® is a registered trademark by MT. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Bruegger, Koth, Dysli, Goldblum, Abegg, Tschopp and Tappeiner.)
- Published
- 2022
- Full Text
- View/download PDF
48. Pharmacological and Behavioral Strategies to Improve Vision in Acquired Pendular Nystagmus.
- Author
-
Kerkeni H, Brügger D, Mantokoudis G, Abegg M, and Zee DS
- Subjects
- Eye Movements, Female, Gabapentin therapeutic use, Humans, Middle Aged, Vision Disorders, Visual Acuity, Memantine therapeutic use, Nystagmus, Pathologic drug therapy, Nystagmus, Pathologic etiology
- Abstract
BACKGROUND Acquired pendular nystagmus (APN) is a back and forth, oscillatory eye movement in which the 2 oppositely directed slow phases have similar waveforms. APN occurs commonly in multiple sclerosis and causes a disabling oscillopsia that impairs vision. Previous studies have proven that symptomatic therapy with gabapentin or memantine can reduce the nystagmus amplitude or frequency. However, the effect of these medications on visual acuity (VA) is less known and to our knowledge the impact of non-pharmacological strategies such as blinking on VA has not been reported. This is a single observational study without controls (Class IV) and is meant to suggest a future strategy for study of vision in patients with disabling nystagmus and impaired vision. CASE REPORT A 49-year-old woman with primary progressive multiple sclerosis with spastic paraparesis and a history of optic atrophy presented with asymmetrical binocular APN and bothersome oscillopsia. We found that in the eye with greater APN her visual acuity improved by 1 line (from 0.063 to 0.08 decimals) immediately after blinking. During treatment with memantine, her VA without blinking increased by 2 lines, from 0.063 to 0.12, but improved even more (from 0.12 to 0.16) after blinking. In the contralateral eye with a barely visible nystagmus, VA was reduced by 1 line briefly (~500 ms) after blinking. CONCLUSIONS In a patient with APN, blinking transiently improved vision. The combination of pharmacological treatment with memantine and the blinking strategy may induce better VA and less oscillopsia than either alone.
- Published
- 2022
- Full Text
- View/download PDF
49. Automated alternate cover test for 'HINTS' assessment: a validation study.
- Author
-
Morrison M, Kerkeni H, Korda A, Räss S, Caversaccio MD, Abegg M, Schneider E, and Mantokoudis G
- Subjects
- Humans, Surveys and Questionnaires, Vertigo, Strabismus diagnosis
- Abstract
Objective: The alternate cover test (ACT) in patients with acute vestibular syndrome is part of the 'HINTS' battery test. Although quantitative, the ACT is highly dependent on the examiner's experience and could theoretically vary greatly between examiners. In this study, we sought to validate an automated video-oculography (VOG) system based on eye tracking and dedicated glasses., Methods: We artificially induced a vertical strabismus to simulate a skew deviation on ten healthy subjects, aged from 26 to 66, using different press-on Fresnel prisms on one eye while recording eye position with VOG of the contralateral eye. We then compared the system's performance to that of a blinded trained orthoptist using conventional, semi-quantitative method of skew measurement known as the alternate prism cover test (APCT) as a gold standard., Results: We found a significant correlation between the reference APCT and the Skew VOG (Pearson's R
2 = 0.606, p < 0.05). There was a good agreement between the two tests (intraclass correlation coefficient 0.852, 95 CI 0.728-0.917, p < 0.001). The overall accuracy of the VOG was estimated at 80.53% with an error rate of 19.46%. There was no significant difference in VOG skew estimations compared with the gold standard except for very small skews., Conclusions: VOG offers an objective and quantitative skew measurement and proved to be accurate in measuring vertical eye misalignment compared to the ACT with prisms. Precision was moderate, which mandates a sufficient number of tests per subject., (© 2021. The Author(s).)- Published
- 2022
- Full Text
- View/download PDF
50. No optical coherence tomography changes in premanifest Huntington's disease mutation carriers far from disease onset.
- Author
-
Schmid RD, Remlinger J, Abegg M, Hoepner R, Hoffmann R, Lukas C, Saft C, and Salmen A
- Subjects
- Biomarkers, Cross-Sectional Studies, Female, Humans, Male, Mutation, Nerve Fibers, Retinal Ganglion Cells, Retrospective Studies, Huntington Disease diagnostic imaging, Huntington Disease genetics, Tomography, Optical Coherence methods
- Abstract
Background: Spectral-domain optical coherence tomography (OCT) may detect retinal changes as a biomarker in neurodegenerative diseases like manifest Huntington's disease (HD). We investigate macular retinal layer thicknesses in a premanifest HD (pre-HD) cohort and healthy controls (HC)., Methods: Pre-HD mutation carriers underwent standardized ratings and a preset macular OCT scan. Thickness values were determined for each sector of all macular retinal layers, the mean of all sectors and the mean of the inner ring (IR, 3 mm) after segmentation (Heyex segmentation batch). HC were retrospectively included from an existing database. The IR thickness of the ganglion cell layer (GCL), retinal nerve fiber layer (RNFL), GCL + inner plexiform layer (GCIPL), and total retina were included in the exploratory correlation analyses with paraclinical ratings and compared to HC., Results: The analyses comprised n = 24 pre-HD participants (n = 10 male, n = 14 female) and n = 38 HC (n = 14 male, n = 24 female). Retinal layer parameters did not correlate with paraclinical ratings. Expected correlations between established HD biomarkers were robust. The IR thicknesses of the GCL, GCIPL, and total retina did not differ between pre-HD and HC. The IR thickness of the RNFL was significantly higher in pre-HD participants (pre-HD: 23.22 μm (standard deviation 2.91), HC: 21.26 μm (1.90), p = .002)., Discussion: In this cross-sectional cohort of genetically determined pre-HD participants, neurodegenerative features were not detected with retinal layer segmentation. Since our pre-HD collective was more than 16 years before disease onset, OCT may not be sensitive enough to detect early changes., (© 2022 The Authors. Brain and Behavior published by Wiley Periodicals LLC.)
- Published
- 2022
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.