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127 results on '"Bucher, Solveig Franziska"'

1. Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping

Author

Körschens, Matthias, Bucher, Solveig Franziska, Römermann, Christine, and Denzler, Joachim

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The plant community composition is an essential indicator of environmental changes and is, for this reason, usually analyzed in ecological field studies in terms of the so-called plant cover. The manual acquisition of this kind of data is time-consuming, laborious, and prone to human error. Automated camera systems can collect high-resolution images of the surveyed vegetation plots at a high frequency. In combination with subsequent algorithmic analysis, it is possible to objectively extract information on plant community composition quickly and with little human effort. An automated camera system can easily collect the large amounts of image data necessary to train a Deep Learning system for automatic analysis. However, due to the amount of work required to annotate vegetation images with plant cover data, only few labeled samples are available. As automated camera systems can collect many pictures without labels, we introduce an approach to interpolate the sparse labels in the collected vegetation plot time series down to the intermediate dense and unlabeled images to artificially increase our training dataset to seven times its original size. Moreover, we introduce a new method we call Monte-Carlo Cropping. This approach trains on a collection of cropped parts of the training images to deal with high-resolution images efficiently, implicitly augment the training images, and speed up training. We evaluate both approaches on a plant cover dataset containing images of herbaceous plant communities and find that our methods lead to improvements in the species, community, and segmentation metrics investigated., Comment: Accepted for publication at DAGM-GCPR 2023

Published
2023

2. Spatial variability in herbaceous plant phenology is mostly explained by variability in temperature but also by photoperiod and functional traits

Author

Rauschkolb, Robert, Bucher, Solveig Franziska, Hensen, Isabell, Ahrends, Antje, Fernández-Pascual, Eduardo, Heubach, Katja, Jakubka, Desiree, Jiménez-Alfaro, Borja, König, Andreas, Koubek, Tomáš, Kehl, Alexandra, Khuroo, Anzar A., Lindstädter, Anja, Shafee, Faizan, Mašková, Tereza, Platonova, Elena, Panico, Patrizia, Plos, Carolin, Primack, Richard, Rosche, Christoph, Shah, Manzoor A., Sporbert, Maria, Stevens, Albert-Dieter, Tarquini, Flavio, Tielbörger, Katja, Träger, Sabrina, Vange, Vibekke, Weigelt, Patrick, Bonn, Aletta, Freiberg, Martin, Knickmann, Barbara, Nordt, Birgit, Wirth, Christian, and Römermann, Christine

Published
2024
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5. Automatic Plant Cover Estimation with Convolutional Neural Networks

Author

Körschens, Matthias, Bodesheim, Paul, Römermann, Christine, Bucher, Solveig Franziska, Migliavacca, Mirco, Ulrich, Josephine, and Denzler, Joachim

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Monitoring the responses of plants to environmental changes is essential for plant biodiversity research. This, however, is currently still being done manually by botanists in the field. This work is very laborious, and the data obtained is, though following a standardized method to estimate plant coverage, usually subjective and has a coarse temporal resolution. To remedy these caveats, we investigate approaches using convolutional neural networks (CNNs) to automatically extract the relevant data from images, focusing on plant community composition and species coverages of 9 herbaceous plant species. To this end, we investigate several standard CNN architectures and different pretraining methods. We find that we outperform our previous approach at higher image resolutions using a custom CNN with a mean absolute error of 5.16%. In addition to these investigations, we also conduct an error analysis based on the temporal aspect of the plant cover images. This analysis gives insight into where problems for automatic approaches lie, like occlusion and likely misclassifications caused by temporal changes.

Published
2021

6. TRY plant trait database – enhanced coverage and open access

Author

Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert DA, Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia TR, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, C, Carolina Alcázar, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia‐Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup‐Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo‐Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Carlucci, Marcos Bergmann, Berner, Logan, Bernhardt‐Römermann, Markus, Bigler, Christof, Bjorkman, Anne D, Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra‐González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning‐Gaese, Katrin, Boisvert‐Marsh, Laura, Bond, William, Bond‐Lamberty, Ben, Boom, Arnoud, Boonman, Coline CF, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David MJS, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, and Bürger, Jana

Subjects
Climate Change Impacts and Adaptation, Biological Sciences, Ecology, Environmental Sciences, Access to Information, Biodiversity, Ecosystem, Plants, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Nutrient Network, Biological sciences, Earth sciences, Environmental sciences
Abstract

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

Published
2020

7. Weakly Supervised Segmentation Pretraining for Plant Cover Prediction

Author

Körschens, Matthias, Bodesheim, Paul, Römermann, Christine, Bucher, Solveig Franziska, Migliavacca, Mirco, Ulrich, Josephine, Denzler, Joachim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bauckhage, Christian, editor, Gall, Juergen, editor, and Schwing, Alexander, editor

Published
2021
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9. Towards Confirmable Automated Plant Cover Determination

Author

Körschens, Matthias, Bodesheim, Paul, Römermann, Christine, Bucher, Solveig Franziska, Ulrich, Josephine, Denzler, Joachim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bartoli, Adrien, editor, and Fusiello, Andrea, editor

Published
2020
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10. Exploring the role of functional traits in regulating the spatial and temporal variability in land surface phenology across temperate forests

Author

Zhao, Yingyi, primary, Wang, Zhihui, additional, Yan, Zhengbing, additional, Moon, Minkyu, additional, Yang, Dedi, additional, Meng, Lin, additional, Bucher, Solveig Franziska, additional, Wang, Jing, additional, Song, Guangqin, additional, Guo, Zhengfei, additional, Su, Yanjun, additional, and Wu, Jin, additional

Published
2024
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12. Evergreen broadleaf greenness and its relationship with leaf flushing, aging, and water fluxes

Author

Luo, Yunpeng, primary, Pacheco-Labrador, Javier, additional, Richardson, Andrew, additional, Seyednasrollah, Bijan, additional, Perez-Priego, Oscar, additional, Cascon, Rosario Gonzalez, additional, Martí, M. Pilar, additional, Moreno, Gerardo, additional, Nair, Richard, additional, Wutzler, Thomas, additional, Bucher, Solveig Franziska, additional, Carrara, Arnaud, additional, Cremonese, Edoardo, additional, El-Madany, Tarek, additional, Filippa, Gianluca, additional, Galvagno, Marta, additional, Hammer, Tiana, additional, Ma, Xuanlong, additional, Martini, David, additional, Zhang, Qian, additional, Reichstein, Markus, additional, Menzel, Annette, additional, Römermann, Christine, additional, and Migliavacca, Mirco, additional

Published
2024
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13. Exploring the role of biotic factors in regulating the spatial variability in land surface phenology across four temperate forest sites.

Author

Zhao, Yingyi, Wang, Zhihui, Yan, Zhengbing, Moon, Minkyu, Yang, Dedi, Meng, Lin, Bucher, Solveig Franziska, Wang, Jing, Song, Guangqin, Guo, Zhengfei, Su, Yanjun, and Wu, Jin

Subjects
TEMPERATE forests, PHENOLOGY, PLANT phenology, CLIMATE change, OBSERVATORIES, ECOSYSTEMS
Abstract

Summary: Land surface phenology (LSP), the characterization of plant phenology with satellite data, is essential for understanding the effects of climate change on ecosystem functions. Considerable LSP variation is observed within local landscapes, and the role of biotic factors in regulating such variation remains underexplored.In this study, we selected four National Ecological Observatory Network terrestrial sites with minor topographic relief to investigate how biotic factors regulate intra‐site LSP variability. We utilized plant functional type (PFT) maps, functional traits, and LSP data to assess the explanatory power of biotic factors for the start and end of season (SOS and EOS) variability.Our results indicate that PFTs alone explain only 0.8–23.4% of intra‐site SOS and EOS variation, whereas including functional traits significantly improves explanatory power, with cross‐validation correlations ranging from 0.50 to 0.85. While functional traits exhibited diverse effects on SOS and EOS across different sites, traits related to competitive ability and productivity were important for explaining both SOS and EOS variation at these sites.These findings reveal that plants exhibit diverse phenological responses to comparable environmental conditions, and functional traits significantly contribute to intra‐site LSP variability, highlighting the importance of intrinsic biotic properties in regulating plant phenology. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Supplementary material 1 from: Ali HE, Bucher SF, Bernhardt-Römermann M, Römermann C (2023) Biochar application can mitigate the negative impacts of drought in invaded experimental grasslands as shown by a functional traits approach. NeoBiota 89: 239-259. https://doi.org/10.3897/neobiota.89.109244

Author

Ali, Hamada E., primary, Bucher, Solveig Franziska, additional, Bernhardt-Römermann, Markus, additional, and Römermann, Christine, additional

Published
2023
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18. Ecosystem consequences of invertebrate decline

Author

Eisenhauer, Nico, primary, Ochoa-Hueso, Raúl, additional, Huang, Yuanyuan, additional, Barry, Kathryn E., additional, Gebler, Alban, additional, Guerra, Carlos A., additional, Hines, Jes, additional, Jochum, Malte, additional, Andraczek, Karl, additional, Bucher, Solveig Franziska, additional, Buscot, François, additional, Ciobanu, Marcel, additional, Chen, Hongmei, additional, Junker, Robert, additional, Lange, Markus, additional, Lehmann, Anika, additional, Rillig, Matthias, additional, Römermann, Christine, additional, Ulrich, Josephine, additional, Weigelt, Alexandra, additional, Schmidt, Anja, additional, and Türke, Manfred, additional

Published
2023
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20. Leaf-level coordination principles propagate to the ecosystem scale

Author

Gomarasca, Ulisse, primary, Migliavacca, Mirco, additional, Kattge, Jens, additional, Nelson, Jacob A., additional, Niinemets, Ülo, additional, Wirth, Christian, additional, Cescatti, Alessandro, additional, Bahn, Michael, additional, Nair, Richard, additional, Acosta, Alicia T. R., additional, Arain, M. Altaf, additional, Beloiu, Mirela, additional, Black, T. Andrew, additional, Bruun, Hans Henrik, additional, Bucher, Solveig Franziska, additional, Buchmann, Nina, additional, Byun, Chaeho, additional, Carrara, Arnaud, additional, Conte, Adriano, additional, da Silva, Ana C., additional, Duveiller, Gregory, additional, Fares, Silvano, additional, Ibrom, Andreas, additional, Knohl, Alexander, additional, Komac, Benjamin, additional, Limousin, Jean-Marc, additional, Lusk, Christopher H., additional, Mahecha, Miguel D., additional, Martini, David, additional, Minden, Vanessa, additional, Montagnani, Leonardo, additional, Mori, Akira S., additional, Onoda, Yusuke, additional, Peñuelas, Josep, additional, Perez-Priego, Oscar, additional, Poschlod, Peter, additional, Powell, Thomas L., additional, Reich, Peter B., additional, Šigut, Ladislav, additional, van Bodegom, Peter M., additional, Walther, Sophia, additional, Wohlfahrt, Georg, additional, Wright, Ian J., additional, and Reichstein, Markus, additional

Published
2023
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22. Ecosystem consequences of invertebrate decline

Author

Eisenhauer, Nico, Ochoa-Hueso, Raúl, Huang, Yuanyuan, Barry, Kathryn E., Gebler, Alban, Guerra, Carlos A., Hines, Jes, Jochum, Malte, Andraczek, Karl, Bucher, Solveig Franziska, Buscot, François, Ciobanu, Marcel, Chen, Hongmei, Junker, Robert, Lange, Markus, Lehmann, Anika, Rillig, Matthias, Römermann, Christine, Ulrich, Josephine, Weigelt, Alexandra, Schmidt, Anja, Türke, Manfred, Eisenhauer, Nico, Ochoa-Hueso, Raúl, Huang, Yuanyuan, Barry, Kathryn E., Gebler, Alban, Guerra, Carlos A., Hines, Jes, Jochum, Malte, Andraczek, Karl, Bucher, Solveig Franziska, Buscot, François, Ciobanu, Marcel, Chen, Hongmei, Junker, Robert, Lange, Markus, Lehmann, Anika, Rillig, Matthias, Römermann, Christine, Ulrich, Josephine, Weigelt, Alexandra, Schmidt, Anja, and Türke, Manfred

Abstract

Human activities cause substantial changes in biodiversity.1,2 Despite ongoing concern about the implications of invertebrate decline,3,4,5,6,7 few empirical studies have examined the ecosystem consequences of invertebrate biomass loss. Here, we test the responses of six ecosystem services informed by 30 above- and belowground ecosystem variables to three levels of aboveground (i.e., vegetation associated) invertebrate community biomass (100%, 36%, and 0% of ambient biomass) in experimental grassland mesocosms in a controlled Ecotron facility. In line with recent reports on invertebrate biomass loss over the last decade, our 36% biomass treatment also represented a decrease in invertebrate abundance (−70%) and richness (−44%). Moreover, we simulated the pronounced change in invertebrate biomass and turnover in community composition across the season. We found that the loss of invertebrate biomass decreases ecosystem multifunctionality, including two critical ecosystem services, aboveground pest control and belowground decomposition, while harvested plant biomass increases, likely because less energy was channeled up the food chain. Moreover, communities and ecosystem functions become decoupled with a lower biomass of invertebrates. Our study shows that invertebrate loss threatens the integrity of grasslands by decoupling ecosystem processes and decreasing ecosystem-service supply.

Published
2023

23. Leaf-level coordination principles propagate to the ecosystem scale

Author

Gomarasca, Ulisse, Migliavacca, Mirco, Kattge, Jens, Nelson, Jacob A., Niinemets, Ülo, Wirth, Christian, Cescatti, Alessandro, Bahn, Michael, Nair, Richard, Acosta, Alicia T.R., Arain, M. Altaf, Beloiu, Mirela, Black, T. Andrew, Bruun, Hans Henrik, Bucher, Solveig Franziska, Buchmann, Nina, Byun, Chaeho, Carrara, Arnaud, Conte, Adriano, da Silva, Ana C., Duveiller, Gregory, Fares, Silvano, Ibrom, Andreas, Knohl, Alexander, Komac, Benjamin, Limousin, Jean Marc, Lusk, Christopher H., Mahecha, Miguel D., Martini, David, Minden, Vanessa, Montagnani, Leonardo, Mori, Akira S., Onoda, Yusuke, Peñuelas, Josep, Perez-Priego, Oscar, Poschlod, Peter, Powell, Thomas L., Reich, Peter B., Šigut, Ladislav, van Bodegom, Peter M., Walther, Sophia, Wohlfahrt, Georg, Wright, Ian J., Reichstein, Markus, Gomarasca, Ulisse, Migliavacca, Mirco, Kattge, Jens, Nelson, Jacob A., Niinemets, Ülo, Wirth, Christian, Cescatti, Alessandro, Bahn, Michael, Nair, Richard, Acosta, Alicia T.R., Arain, M. Altaf, Beloiu, Mirela, Black, T. Andrew, Bruun, Hans Henrik, Bucher, Solveig Franziska, Buchmann, Nina, Byun, Chaeho, Carrara, Arnaud, Conte, Adriano, da Silva, Ana C., Duveiller, Gregory, Fares, Silvano, Ibrom, Andreas, Knohl, Alexander, Komac, Benjamin, Limousin, Jean Marc, Lusk, Christopher H., Mahecha, Miguel D., Martini, David, Minden, Vanessa, Montagnani, Leonardo, Mori, Akira S., Onoda, Yusuke, Peñuelas, Josep, Perez-Priego, Oscar, Poschlod, Peter, Powell, Thomas L., Reich, Peter B., Šigut, Ladislav, van Bodegom, Peter M., Walther, Sophia, Wohlfahrt, Georg, Wright, Ian J., and Reichstein, Markus

Abstract

Fundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories – the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis – are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections., Fundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories – the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis – are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.

Published
2023

24. The role of floral traits in community assembly processes at high elevations in the Himalayas

Author

Ahmad, Mustaqeem, Rosbakh, Sergey, Bucher, Solveig Franziska, Sharma, Padma, Rathee, Sonia, Uniyal, Sanjay Kr, Batish, Daizy R., Singh, Harminder P., Ahmad, Mustaqeem, Rosbakh, Sergey, Bucher, Solveig Franziska, Sharma, Padma, Rathee, Sonia, Uniyal, Sanjay Kr, Batish, Daizy R., and Singh, Harminder P.

Abstract

There is a common agreement that, to maximise our understanding of trait-based community assembly, traits related to different organs should be considered as they relate to different ecological niche axes. Floral traits, in particular, have been suggested to play an important role in the plant community assembly along with environmental gradients as they determine reproductive success, one of the key functions in plants. However, the role of floral traits in community assembly research remains largely unverified empirically. Using a large and novel dataset on plant traits and plant communities, we analysed the variability of six floral traits of 139 herbaceous species in 21 sites located along an elevation gradient (2000–4000 m) in the western Himalayas. The variability of floral traits along the gradient was analysed using community-weighted mean (CWM) trait values and functional diversities (FDs) calculated for each study community. The CWMs showed that with increasing elevation, flowering began later, and flowers tended to be larger with decreasing specific flower area (SFA). Along with the convergence in the onset of flowering and SFA (i.e. lower FD at high-elevation sites), these patterns suggest that abiotic filtering and plant–pollinator interactions could affect the floral trait composition of the communities. Most likely, increasing low-temperature stress towards high-elevation sites selected for late-flowering species that produce flowers with larger display areas. The low abundance and activity of pollinators at high elevation could also explain why these traits were selected in the communities studied. Delayed flowering with increasing elevation might facilitate the phenological overlap of plants and their pollinators, as pollinator activity at higher elevation peaks in the second half of the vegetation period. The dominance of a species with low SFA and larger display area in high-altitude communities could be attributable to increased flower longevi

Published
2023

25. Artificial light at night decreases plant diversity and performance in experimental grassland communities.

Author

Bucher, Solveig Franziska, Uhde, Lia, Weigelt, Alexandra, Cesarz, Simone, Eisenhauer, Nico, Gebler, Alban, Kyba, Christopher, Römermann, Christine, Shatwell, Tom, and Hines, Jes

Subjects
*PLANT diversity, *PLANT performance, *ECOSYSTEMS, *LIGHT pollution, *PLANT conservation, *PLANT communities, *GRASSLANDS
Abstract

Artificial light at night (ALAN) affects many areas of the world and is increasing globally. To date, there has been limited and inconsistent evidence regarding the consequences of ALAN for plant communities, as well as for the fitness of their constituent species. ALAN could be beneficial for plants as they need light as energy source, but they also need darkness for regeneration and growth. We created model communities composed of 16 plant species sown, exposed to a gradient of ALAN ranging from 'moonlight only' to conditions like situations typically found directly underneath a streetlamp. We measured plant community composition and its production (biomass), as well as functional traits of three plant species from different functional groups (grasses, herbs, legumes) in two separate harvests. We found that biomass was reduced by 33% in the highest ALAN treatment compared to the control, Shannon diversity decreased by 43% and evenness by 34% in the first harvest. Some species failed to establish in the second harvest. Specific leaf area, leaf dry matter content and leaf hairiness responded to ALAN. These responses suggest that plant communities will be sensitive to increasing ALAN, and they flag a need for plant conservation activities that consider impending ALAN scenarios. This article is part of the theme issue 'Light pollution in complex ecological systems'. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Artificial light at night (ALAN) causes shifts in soil communities and functions.

Author

Cesarz, Simone, Eisenhauer, Nico, Bucher, Solveig Franziska, Ciobanu, Marcel, and Hines, Jes

Subjects
PLANT productivity, SOIL microbial ecology, PLANT biomass, SOIL moisture, SOIL respiration, ECOSYSTEMS, LIGHT pollution
Abstract

Artificial light at night (ALAN) is increasing worldwide, but its effects on the soil system have not yet been investigated. We tested the influence of experimental manipulation of ALAN on two taxa of soil communities (microorganisms and soil nematodes) and three aspects of soil functioning (soil basal respiration, soil microbial biomass and carbon use efficiency) over four and a half months in a highly controlled Ecotron facility. We show that during peak plant biomass, increasing ALAN reduced plant biomass and was also associated with decreased soil water content. This further reduced soil respiration under high ALAN at peak plant biomass, but microbial communities maintained stable biomass across different levels of ALAN and times, demonstrating higher microbial carbon use efficiency under high ALAN. While ALAN did not affect microbial community structure, the abundance of plant-feeding nematodes increased and there was homogenization of nematode communities under higher levels of ALAN, indicating that soil communities may be more vulnerable to additional disturbances at high ALAN. In summary, the effects of ALAN reach into the soil system by altering soil communities and ecosystem functions, and these effects are mediated by changes in plant productivity and soil water content at peak plant biomass. This article is part of the theme issue 'Light pollution in complex ecological systems'. [ABSTRACT FROM AUTHOR]

Published
2023
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29. Biochar application can mitigate the negative impacts of drought in invaded experimental grasslands as shown by a functional traits approach.

Author

Ali, Hamada E., Bucher, Solveig Franziska, Bernhardt-Römermann, Markus, and Römermann, Christine

Subjects
*BIOCHAR, *GRASSLAND restoration, *BIOLOGICAL invasions, *DROUGHTS, *MUSTARD, *INVASIVE plants, *DROUGHT management
Abstract

Climate, land-use, and invasive plants are among the important drivers of ecosystem functions through the changes in functional composition. In this study, we studied the effects of climate (drought), land-use (Biochar application), and the presence of invasive species on the productivity and performance of invaded experimental grasslands. We ran a greenhouse experiment under controlled conditions, in which we grew a combination of the three native species Silene gallica, Brassica nigra and Phalaris minor and the invasive species Avena fatua, being subjected to four different treatments: Biochar+drought, Biochar, drought, and control. We measured the productivity of native and invasive species as total biomass and root to shoot ratio (RSR) and the performance by measuring several plant functional traits (plant height, specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen content (Nmass), leaf carbon content (Cmass) and total chlorophyll (Chltotal) of all individuals occurring in each plot. The study showed that invasive species were more productive (higher total biomass and lower RSR) and performed better (taller plants, higher SLA, Nmass, Cmass and Chltotal and lower LDMC) than the native species under drought conditions as well as with Biochar application. Accordingly, in contrast to our expectations, the lower productivity and performance of native compared to invasive species under drought were not mitigated by Biochar application. These results provided a deeper understanding of the interplay between climate, land-use, and biological invasion, which is crucial for predicting the consequences of changes in functional composition on ecosystem functions and consequently restoration of grasslands. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Evergreen broadleaf greenness and its relationship with leaf flushing, aging, and water fluxes

Author

Luo, Yunpeng, primary, Pacheco-Labrador, Javier, additional, Richardson, Andrew D., additional, Seyednasrollah, Bijan, additional, Perez-Priego, Oscar, additional, Gonzalez-Cascon, Rosario, additional, Martín, M. Pilar, additional, Moreno, Gerardo, additional, Nair, Richard, additional, Wutzler, Thomas, additional, Bucher, Solveig Franziska, additional, Carrara, Arnaud, additional, Cremonese, Edoardo, additional, El-Madany, Tarek S., additional, Filippa, Gianluca, additional, Galvagno, Marta, additional, Hammer, Tiana, additional, Ma, Xuanlong, additional, Martini, David, additional, Zhang, Qian, additional, Reichstein, Markus, additional, Menzel, Annette, additional, Römermann, Christine, additional, and Migliavacca, Mirco, additional

Published
2022
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33. Functional traits influence patterns in vegetative and reproductive plant phenology – a multi‐botanical garden study

Author

Sporbert, Maria, primary, Jakubka, Desiree, additional, Bucher, Solveig Franziska, additional, Hensen, Isabell, additional, Freiberg, Martin, additional, Heubach, Katja, additional, König, Andreas, additional, Nordt, Birgit, additional, Plos, Carolin, additional, Blinova, Ilona, additional, Bonn, Aletta, additional, Knickmann, Barbara, additional, Koubek, Tomáš, additional, Linstädter, Anja, additional, Mašková, Tereza, additional, Primack, Richard B., additional, Rosche, Christoph, additional, Shah, Manzoor A., additional, Stevens, Albert‐Dieter, additional, Tielbörger, Katja, additional, Träger, Sabrina, additional, Wirth, Christian, additional, and Römermann, Christine, additional

Published
2022
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37. The PhenObs initiative: A standardised protocol for monitoring phenological responses to climate change using herbaceous plant species in botanical gardens

Author

Nordt, Birgit, primary, Hensen, Isabell, additional, Bucher, Solveig Franziska, additional, Freiberg, Martin, additional, Primack, Richard B., additional, Stevens, Albert‐Dieter, additional, Bonn, Aletta, additional, Wirth, Christian, additional, Jakubka, Desiree, additional, Plos, Carolin, additional, Sporbert, Maria, additional, and Römermann, Christine, additional

Published
2021
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41. Figure 1 from: Samuel S, Shadaydeh M, Böcker S, Brügmann B, Bucher SF, Deckert V, Denzler J, Dittrich P, von Eggeling F, Güllmar D, Guntinas-Lichius O, König-Ries B, Löffler F, Maicher L, Marz M, Migliavacca M, R. Reichenbach J, Reichstein M, Römermann C, Wittig A (2020) A virtual “Werkstatt” for digitization in the sciences. Research Ideas and Outcomes 6: e54106. https://doi.org/10.3897/rio.6.e54106

Author

Samuel, Sheeba, primary, Shadaydeh, Maha, additional, Böcker, Sebastian, additional, Brügmann, Bernd, additional, Bucher, Solveig Franziska, additional, Deckert, Volker, additional, Denzler, Joachim, additional, Dittrich, Peter, additional, von Eggeling, Ferdinand, additional, Güllmar, Daniel, additional, Guntinas-Lichius, Orlando, additional, König-Ries, Birgitta, additional, Löffler, Frank, additional, Maicher, Lutz, additional, Marz, Manja, additional, Migliavacca, Mirco, additional, R. Reichenbach, Jürgen, additional, Reichstein, Markus, additional, Römermann, Christine, additional, and Wittig, Andrea, additional

Published
2020
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42. A virtual “Werkstatt” for digitization in the sciences

Author

Samuel, Sheeba, primary, Shadaydeh, Maha, additional, Böcker, Sebastian, additional, Brügmann, Bernd, additional, Bucher, Solveig Franziska, additional, Deckert, Volker, additional, Denzler, Joachim, additional, Dittrich, Peter, additional, von Eggeling, Ferdinand, additional, Güllmar, Daniel, additional, Guntinas-Lichius, Orlando, additional, König-Ries, Birgitta, additional, Löffler, Frank, additional, Maicher, Lutz, additional, Marz, Manja, additional, Migliavacca, Mirco, additional, R. Reichenbach, Jürgen, additional, Reichstein, Markus, additional, Römermann, Christine, additional, and Wittig, Andrea, additional

Published
2020
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45. Foliar summer frost resistance measured via electrolyte leakage approach as related to plant distribution, community composition and plant traits.

Author

Bucher, Solveig Franziska, Rosbakh, Sergey, and Thompson, Ken

Subjects
*PHYTOGEOGRAPHY, *PLANT communities, *CHEMICAL composition of plants, *ALTITUDES, *FROST
Abstract

Frost resistance (FR) is a fundamental process determining various aspects of plant life. Measurements of FR remain challenging as existing methods are time‐ and labour‐intensive.Here, we test the applicability of foliar summer FR measured via the 'electrolyte leakage' approach (FRPEL), a simple and inexpensive technique so far underused in ecological research to estimate FR. We tested the ability of this trait to predict (a) species occurrence, (b) community composition along an elevation gradient and (c) analysed its relationship with nine other traits (SLA, Cmass, Nmass, Pmass, Camass, Mgmass, Kmass, canopy height and the ability to form rosettes) related to plant performance. We studied 183 vascular species occurring at 37 sites, which we also analysed in terms of species composition along an elevation gradient from 656 to 2,363 m a.s.l. in the Bavarian Alps, Germany.Species' FRPEL values correlated significantly with the species occurrence along the elevation gradient. However, this relationship was weak as it explained only 10% in the variation of the Landolt indicator values, a proxy for species geographic ranges. We found a strong positive relationship between community‐weighted FRPEL values and elevation suggesting a strong environmental filtering of this trait that removes species with low FR from the local species pool at high elevations. The community functional diversity of FRPEL significantly increased with increasing elevation suggesting a higher trait divergence in harsher climates. We found significant negative relationships between FRPEL and SLA, canopy height and the ability to form leaf rosettes, indicating a trade‐off in plants between the investment in conservative strategies, in our case FR, and fast resource acquisition.Our study highlights the potential of using FRPEL more frequently in ecological research as we were able to reconfirm three patterns inferred by more precise yet time‐consuming and labour‐intensive approaches. We demonstrate that FRPEL can be used to predict species occurrence and infer assembly rules along elevation gradients. Furthermore, we found that FRPEL is linked to plant functional traits associated with plant performance and morphological features of the plants. However, the trait's predictive power varied greatly among the study objectives and levels. A free Plain Language Summary can be found within the Supporting Information of this article. [ABSTRACT FROM AUTHOR]

Published
2021
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48. Traits and climate are associated with first flowering day in herbaceous species along elevational gradients.

Author

Bucher, Solveig Franziska, König, Patrizia, Menzel, Annette, Migliavacca, Mirco, Ewald, Jörg, and Römermann, Christine

Subjects
*PLANT phenology, *WATER efficiency, *CARBON isotopes, *LEAF area, *SPECIES, *STABLE isotopes
Abstract

Phenological responses to changing temperatures are known as "fingerprints of climate change," yet these reactions are highly species specific. To assess whether different plant characteristics are related to these species-specific responses in flowering phenology, we observed the first flowering day (FFD) of ten herbaceous species along two elevational gradients, representing temperature gradients. On the same populations, we measured traits being associated with (1) plant performance (specific leaf area), (2) leaf biochemistry (leaf C, N, P, K, and Mg content), and (3) water-use efficiency (stomatal pore area index and stable carbon isotopes concentration). We found that as elevation increased, FFD was delayed for all species with a highly species-specific rate. Populations at higher elevations needed less temperature accumulation to start flowering than populations of the same species at lower elevations. Surprisingly, traits explained a higher proportion of variance in the phenological data than elevation. Earlier flowering was associated with higher water-use efficiency, higher leaf C, and lower leaf P content. In addition to that, the intensity of shifts in FFD was related to leaf N and K. These results propose that traits have a high potential in explaining phenological variations, which even surpassed the effect of temperature changes in our study. Therefore, they have a high potential to be included in future analyses studying the effects of climate change and will help to improve predictions of vegetation changes. [ABSTRACT FROM AUTHOR]

Published
2018
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49. TRY plant trait database – enhanced coverage and open access

Author

Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D. A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T. R., Adamidis, George C., Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H., Alcántara, Julio M., Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M., Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimarães, Ashman, Tia‐Lynn, Asmara, Degi Harja, Asner, Gregory P., Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup‐Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J., Bakker, Jan P., Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R., Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo‐Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marcos, Berner, Logan, Bernhardt‐Römermann, Markus, Bigler, Christof, Bjorkman, Anne D., Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra‐González, Kelly T., Boeckx, Pascal, Bohlman, Stephanie, Böhning‐Gaese, Katrin, Boisvert‐Marsh, Laura, Bond, William, Bond‐Lamberty, Ben, Boom, Arnoud, Boonman, Coline C. F., Bordin, Kauane, Boughton, Elizabeth H., Boukili, Vanessa, Bowman, David M. J. S., Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R., Brown, Kerry A., Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W., Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E., Bürger, Jana, Burrascano, Sabina, Burslem, David F. R. P., Butterfield, Bradley J., Byun, Chaeho, Marques, Marcia, Scalon, Marina C., Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, James, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano‐Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A., Cavender‐Bares, Jeannine, Cerabolini, Bruno E. L., Cervellini, Marco, Chacón‐Madrigal, Eduardo, Chapin, Kenneth, Chapin, F. Stuart, Chelli, Stefano, Chen, Si‐Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong‐Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluís, Collins, Courtney G., Conti, Luisa, Coomes, David, Cornelissen, Johannes H. C., Cornwell, William K., Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P. G. M., Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthias, Silva, Ana Carolina, Dahlin, Kyla M., Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang‐Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, Beer, Arend Jacobus, De Frutos, Angel, De Long, Jonathan R., Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicolas, Derroire, Géraldine, Dias, Arildo S., Diaz‐Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G., Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E‐Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, James, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel‐Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F., Fagan, William F., Fagúndez, Jaime, Falster, Daniel S., Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez‐Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J., Flynn, Dan F. B., Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Louis, Frangipani, Marcelo, Frank, Dorothea, Frenette‐Dussault, Cedric, Freschet, Grégoire T., Fry, Ellen L., Fyllas, Nikolaos M., Mazzochini, Guilherme G., Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García‐Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Luis, Gasper, André Luís, Gea‐Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N., Giroldo, Aelton, Glasenhardt, Mary‐Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez‐Akre, Erika, Gonzalez‐Andujar, Jose L., González‐Melo, Andrés, González‐Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A., Gregor, Thomas, Gross, Nicolas, Guerin, Greg R., Günther, Angela, Gutiérrez, Alvaro G., Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P., Hattingh, Wesley, Hawes, Joseph E., He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana‐Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thomas, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L., Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough‐Snee, Nate, Hovstad, Knut Anders, Ichie, Tomoaki, Igić, Boris, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M., Izquierdo, Jordi, Jackson, Robert B., Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M., Jandt, Ute, Jansen, Steven, Jenkins, Thomas, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo‐Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J., Joly, Carlos Alfredo, Jordan, Gregory J., Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R., Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I., Kinlock, Nicole L., Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thomas, Kjøller, Rasmus, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M. H., Kohyama, Takashi, Koike, Fumito, Kollmann, Johannes, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J. B., Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jonas, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean‐Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J., Laughlin, Daniel, Le Bagousse‐Pinguet, Yoann, Maire, Guerric, Roux, Peter C., Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L., Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W., Liebergesell, Mario, Lim, Jun Ying, Lin, Yan‐Shih, Linares, Juan Carlos, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López‐García, Álvaro, Lopez‐Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A., Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mendes, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio‐Silva, Vinicius, Marcon, Eric, Marignani, Michela, Markesteijn, Lars, Martin, Adam, Martínez‐Garza, Cristina, Martínez‐Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, McCarthy, James, McCormack, M. Luke, McCulloh, Katherine, McFadden, Ian R., McGill, Brian J., McPartland, Mara Y., Medeiros, Juliana S., Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P. L., Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T., Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E. D., Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T., Molnár, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A., Monty, Arnaud, Moravcová, Lenka, Moreno‐Martínez, Alvaro, Moretti, Marco, Mori, Akira S., Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D., Müller, Sandra Cristina, Munoz, François, Myers‐Smith, Isla H., Myster, Randall W., Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S., Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly‐Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E., Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E., Ordonez, Jenny C., Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E., Ozinga, Wim A., Pahl, Anna T., Paine, C. E. Timothy, Pakeman, Robin J., Papageorgiou, Aristotelis C., Parfionova, Evgeniya, Pärtel, Meelis, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G., Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Luis, Petisco‐Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L., Pierce, Simon, Pillar, Valério D., Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A. Shafer, Power, Sally A., Prinzing, Andreas, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johannes, Ray, Courtenay A., Reich, Peter B., Reichstein, Markus, Reid, Douglas E. B., Réjou‐Méchain, Maxime, Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C., Riviera, Fiamma, Robert, Elisabeth M. R., Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Vinicius, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A., Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B., Royer‐Tardif, Samuel, Rüger, Nadja, Ruiz‐Peinado, Ricardo, Rumpf, Sabine B., Rusch, Graciela M., Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado‐Negret, Beatriz, Salguero‐Gomez, Roberto, Santa‐Regina, Ignacio, Santacruz‐García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer‐Lorenzen, Michael, Schleuning, Matthias, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V., Schowanek, Simon D., Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C., Sharpe, Joanne M., Sheppard, Christine S., Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlos, Silva, Vasco, Silva, Mateus, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G., Sodhi, Darwin, Soltis, Pamela, Soltis, Douglas, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski, Enio Egon, Soudzilovskaia, Nadejda A., Souza, Alexandre F., Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B., Stegen, James, Steinbauer, Klaus, Stephan, Jörg G., Sterck, Frank, Stojanovic, Dejan B., Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens‐Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E., Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G., Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres‐Ruiz, José M., Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L., Tsiripidis, Ioannis, Tysklind, Niklas, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, Bodegom, Peter M., Breugel, Michiel, Van Cleemput, Elisa, Weg, Martine, Merwe, Stephni, Plas, Fons, Sande, Masha T., Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J., Verbeeck, Hans, Verheyen, Kris, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P., Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, James, Weber, Ulrich, Weedon, James T., Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W., Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E., Winter, Klaus, Womack, Chevonne, Wright, Ian J., Wright, S. Joseph, Wright, Justin, Pinho, Bruno X., Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E., Zelený, David, Zhao, Yun‐Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R., Zizka, Georg, Zo‐Bi, Irié Casimir, Zotz, Gerhard, and Wirth, Christian

Subjects
2. Zero hunger, food and beverages, 15. Life on land
Abstract

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

50. TRY plant trait database - enhanced coverage and open access

Author

Kattge, Jens, Boenisch, Gerhard, Diaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D. A., Aakala, Tuomas, Abedi, Mehdi, Acosta, Alicia T. R., Adamidis, George C., Adamson, Kairi, Aiba, Masahiro, Albert, Cecile H., Alcantara, Julio M., Alcazar, Carolina C., Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M., Anand, Madhur, Anderson, Carolyn, Anten, Niels, Antos, Joseph, Apgaua, Deborah Mattos Guimaraes, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P., Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lars, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J., Bakker, Jan P., Baldocchi, Dennis, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jos, Barneche, Diego R., Baruch, Zdravko, Bastianelli, Denis, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Hans, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Carlucci, Marcos Bergmann, Berner, Logan, Bernhardt-Roemermann, Markus, Bigler, Christof, Bjorkman, Anne D., Blackman, Chris, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-Gonzalez, Kelly T., Boeckx, Pascal, Bohlman, Stephanie, Boehning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C. F., Bordin, Kauane, Boughton, Elizabeth H., Boukili, Vanessa, Bowman, David M. J. S., Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R., Brown, Kerry A., Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W., Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E., Buerger, Jana, Burrascano, Sabina, Burslem, David F. R. P., Butterfield, Bradley J., Byun, Chaeho, Marques, Marcia, Scalon, Marina C., Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, James, Julio Camarero, Jesus, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A., Cavender-Bares, Jeannine, Cerabolini, Bruno E. L., Cervellini, Marco, Chacon-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F. 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B., Kramer, Koen, Kreft, Holger, Kuehn, Ingolf, Kumarathunge, Dushan, Kuppler, Jonas, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J., Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, Le Maire, Guerric, Le Roux, Peter C., Le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L., Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W., Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlos, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusia, Joan, Lohbeck, Madelon, Lopez-Garcia, Alvaro, Lopez-Gonzalez, Gabriela, Lososova, Zdenka, Louault, Frederique, Lukacs, Balazs A., Lukes, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Pereira, Camilla Maciel Rabelo, Mack, Michelle, Maire, Vincent, Makela, Annikki, Makinen, Harri, Mendes Malhado, Ana Claudia, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Vinicius, Marcon, Eric, Marignani, Michela, Markesteijn, Lars, Martin, Adam, Martinez-Garza, Cristina, Martinez-Vilalta, Jordi, Maskova, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, McCarthy, James, McCormack, M. 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Joseph, Wright, Justin, Pinho, Bruno X., Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Katia Janaina, Zanne, Amy E., Zeleny, David, Zhao, Yun-Peng, Zheng, Jingming, Zheng, Ji, Zieminska, Kasia, Zirbel, Chad R., Zizka, Georg, Zo-Bi, Irie Casimir, Zotz, Gerhard, and Wirth, Christian

Subjects
2. Zero hunger, food and beverages, 15. Life on land, 580 Plants (Botany)
Abstract

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

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