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      Biases in estimation of insect herbivory from herbarium specimens

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          Abstract

          Information regarding plant damage by insects in the past is essential to explore impacts of climate change on herbivory. We asked whether insect herbivory measured from herbarium specimens reflects the levels of herbivory occurring in nature at the time of herbarium sampling. We compared herbivory measurements between herbarium specimens collected by botany students and ecological samples collected simultaneously by the authors by a method that minimized unconscious biases, and asked herbarium curators to select one of two plant specimens, which differed in leaf damage, for their collections. Both collectors and curators generally preferred specimens with lesser leaf damage, but the strength of this preference varied among persons. In addition, the differences in measured leaf damage between ecological samples and herbarium specimens varied among plant species and increased with the increase in field herbivory. Consequently, leaf damage in herbarium specimens did not correlate with the actual level of herbivory. We conclude that studies of herbarium specimens produce biased information on past levels of herbivory, because leaf damage measured from herbarium specimens not only underestimates field herbivory, but it is not proportional to the level of damage occurring in nature due to multiple factors that cannot be controlled in data analysis.

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          Long-term datasets in biodiversity research and monitoring: assessing change in ecological communities through time.

          The growing need for baseline data against which efforts to reduce the rate of biodiversity loss can be judged highlights the importance of long-term datasets, some of which are as old as ecology itself. We review methods of evaluating change in biodiversity at the community level using these datasets, and contrast whole-community approaches with those that combine information from different species and habitats. As all communities experience temporal turnover, one of the biggest challenges is distinguishing change that can be attributed to external factors, such as anthropogenic activities, from underlying natural change. We also discuss methodological issues, such as false alerts and modifications in design, of which users of these data sets need to be aware. Copyright © 2010 Elsevier Ltd. All rights reserved.
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            Space can substitute for time in predicting climate-change effects on biodiversity.

            "Space-for-time" substitution is widely used in biodiversity modeling to infer past or future trajectories of ecological systems from contemporary spatial patterns. However, the foundational assumption--that drivers of spatial gradients of species composition also drive temporal changes in diversity--rarely is tested. Here, we empirically test the space-for-time assumption by constructing orthogonal datasets of compositional turnover of plant taxa and climatic dissimilarity through time and across space from Late Quaternary pollen records in eastern North America, then modeling climate-driven compositional turnover. Predictions relying on space-for-time substitution were ∼72% as accurate as "time-for-time" predictions. However, space-for-time substitution performed poorly during the Holocene when temporal variation in climate was small relative to spatial variation and required subsampling to match the extent of spatial and temporal climatic gradients. Despite this caution, our results generally support the judicious use of space-for-time substitution in modeling community responses to climate change.
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              Pathogens and insect herbivores drive rainforest plant diversity and composition.

              Tropical forests are important reservoirs of biodiversity, but the processes that maintain this diversity remain poorly understood. The Janzen-Connell hypothesis suggests that specialized natural enemies such as insect herbivores and fungal pathogens maintain high diversity by elevating mortality when plant species occur at high density (negative density dependence; NDD). NDD has been detected widely in tropical forests, but the prediction that NDD caused by insects and pathogens has a community-wide role in maintaining tropical plant diversity remains untested. We show experimentally that changes in plant diversity and species composition are caused by fungal pathogens and insect herbivores. Effective plant species richness increased across the seed-to-seedling transition, corresponding to large changes in species composition. Treating seeds and young seedlings with fungicides significantly reduced the diversity of the seedling assemblage, consistent with the Janzen-Connell hypothesis. Although suppressing insect herbivores using insecticides did not alter species diversity, it greatly increased seedling recruitment and caused a marked shift in seedling species composition. Overall, seedling recruitment was significantly reduced at high conspecific seed densities and this NDD was greatest for the species that were most abundant as seeds. Suppressing fungi reduced the negative effects of density on recruitment, confirming that the diversity-enhancing effect of fungi is mediated by NDD. Our study provides an overall test of the Janzen-Connell hypothesis and demonstrates the crucial role that insects and pathogens have both in structuring tropical plant communities and in maintaining their remarkable diversity.
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                Author and article information

                Contributors
                mikoz@utu.fi
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                23 July 2020
                23 July 2020
                2020
                : 10
                : 12298
                Affiliations
                [1 ]ISNI 0000 0001 2097 1371, GRID grid.1374.1, Department of Biology, , University of Turku, ; 20014 Turku, Finland
                [2 ]GRID grid.465298.4, Herbarium, V. L. Komarov Botanical Institute, ; Professora Popova Str. 2, 197376 St. Petersburg, Russia
                [3 ]ISNI 0000 0001 2289 6897, GRID grid.15447.33, Department of Biogeography and Nature Preservation, Institute of Earth Sciences, , St. Petersburg State University, ; Universitetskaya nab. 7-9, 199034 St. Petersburg, Russia
                [4 ]St. Petersburg Chemical-Pharmaceutical University, Professora Popova Str. 14, 197022 St. Petersburg, Russia
                Author information
                https://orcid.org/0000-0002-9500-4244
                https://orcid.org/0000-0002-8090-9235
                https://orcid.org/0000-0003-2934-3421
                Article
                69195
                10.1038/s41598-020-69195-5
                7378164
                9ec4ae2e-619d-450e-bfd5-de4dd60877c0
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 7 December 2019
                : 9 July 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002341, Academy of Finland;
                Award ID: 311929 and 316182
                Award Recipient :
                Funded by: Komarov Botanical Institute
                Award ID: АААА-А18-118022090078-2
                Award Recipient :
                Funded by: Kone Foundation
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                ecology,plant sciences
                Uncategorized
                ecology, plant sciences

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