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Davis CL, Guralnick RP, Zipkin EF. Challenges and opportunities for using natural history collections to estimate insect population trends. J Anim Ecol 2023; 92:237-249. [PMID: 35716080 DOI: 10.1111/1365-2656.13763] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 06/13/2022] [Indexed: 11/28/2022]
Abstract
Natural history collections (NHC) provide a wealth of information that can be used to understand the impacts of global change on biodiversity. As such, there is growing interest in using NHC data to estimate changes in species' distributions and abundance trends over historic time horizons when contemporary survey data are limited or unavailable. However, museum specimens were not collected with the purpose of estimating population trends and thus can exhibit spatiotemporal and collector-specific biases that can impose severe limitations to using NHC data for evaluating population trajectories. Here we review the challenges associated with using museum records to track long-term insect population trends, including spatiotemporal biases in sampling effort and sparse temporal coverage within and across years. We highlight recent methodological advancements that aim to overcome these challenges and discuss emerging research opportunities. Specifically, we examine the potential of integrating museum records and other contemporary data sources (e.g. collected via structured, designed surveys and opportunistic citizen science programs) in a unified analytical framework that accounts for the sampling biases associated with each data source. The emerging field of integrated modelling provides a promising framework for leveraging the wealth of collections data to accurately estimate long-term trends of insect populations and identify cases where that is not possible using existing data sources.
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Affiliation(s)
- Courtney L Davis
- Department of Integrative Biology; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA.,Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA
| | - Robert P Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA.,Biodiversity Institute, University of Florida, Gainesville, Florida, USA
| | - Elise F Zipkin
- Department of Integrative Biology; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA
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3
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Folk RA, Siniscalchi CM. Biodiversity at the global scale: the synthesis continues. AMERICAN JOURNAL OF BOTANY 2021; 108:912-924. [PMID: 34181762 DOI: 10.1002/ajb2.1694] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 04/14/2021] [Indexed: 06/13/2023]
Abstract
Traditionally, the generation and use of biodiversity data and their associated specimen objects have been primarily the purview of individuals and small research groups. While deposition of data and specimens in herbaria and other repositories has long been the norm, throughout most of their history, these resources have been accessible only to a small community of specialists. Through recent concerted efforts, primarily at the level of national and international governmental agencies over the last two decades, the pace of biodiversity data accumulation has accelerated, and a wider array of biodiversity scientists has gained access to this massive accumulation of resources, applying them to an ever-widening compass of research pursuits. We review how these new resources and increasing access to them are affecting the landscape of biodiversity research in plants today, focusing on new applications across evolution, ecology, and other fields that have been enabled specifically by the availability of these data and the global scope that was previously beyond the reach of individual investigators. We give an overview of recent advances organized along three lines: broad-scale analyses of distributional data and spatial information, phylogenetic research circumscribing large clades with comprehensive taxon sampling, and data sets derived from improved accessibility of biodiversity literature. We also review synergies between large data resources and more traditional data collection paradigms, describe shortfalls and how to overcome them, and reflect on the future of plant biodiversity analyses in light of increasing linkages between data types and scientists in our field.
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Affiliation(s)
- Ryan A Folk
- Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, USA
| | - Carolina M Siniscalchi
- Department of Biological Sciences, Mississippi State University, Mississippi State, Mississippi, USA
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4
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Panter CT, Clegg RL, Moat J, Bachman SP, Klitgård BB, White RL. To clean or not to clean: Cleaning open‐source data improves extinction risk assessments for threatened plant species. CONSERVATION SCIENCE AND PRACTICE 2020. [DOI: 10.1111/csp2.311] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Connor T. Panter
- Ecology, Conservation and Zoonosis Research and Enterprise, School of Pharmacy and Biomolecular Sciences University of Brighton Brighton East Sussex United Kingdom
- Royal Botanic Gardens, Kew Richmond Surrey United Kingdom
| | | | - Justin Moat
- Royal Botanic Gardens, Kew Richmond Surrey United Kingdom
| | | | | | - Rachel L. White
- Ecology, Conservation and Zoonosis Research and Enterprise, School of Pharmacy and Biomolecular Sciences University of Brighton Brighton East Sussex United Kingdom
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5
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Qian LS, Chen JH, Deng T, Sun H. Plant diversity in Yunnan: Current status and future directions. PLANT DIVERSITY 2020; 42:281-291. [PMID: 33094199 PMCID: PMC7567762 DOI: 10.1016/j.pld.2020.07.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 07/29/2020] [Accepted: 07/29/2020] [Indexed: 06/01/2023]
Abstract
Yunnan, located in southwestern China, harbors more than 19,000 higher plants, which represents the highest plant diversity in the country. However, plant diversity in Yunnan faces enormous threats today, including habitat destruction and fragmentation, environmental pollution, and over-exploitation of natural resources. Despite recent efforts to protect biodiversity, there are still thousands of threatened species, some of which have become extinct. We analyzed available data to gain a greater understanding of plant diversity and the status of plant conservation in Yunnan. We found that southern, southeastern, and northwestern Yunnan are hotspots of total species, endemic species, specimens, new species and threatened species, whereas southeastern Yunnan is a hotspot for plant species with extremely small populations. Moreover, we found that there are still conservation gaps and poorly protected areas in central, eastern, and northeastern Yunnan. We conclude that conservation of plant diversity in Yunnan requires modern field investigation, systematic research, the development of comprehensive databases, and government support. We recommend that conservationists pay more attention to building and improving functional protection systems and popularizing science.
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Affiliation(s)
- Li-Shen Qian
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- School of Life Science, Yunnan University, Kunming, 650091, China
| | - Jia-Hui Chen
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Tao Deng
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
| | - Hang Sun
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, China
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6
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Sun M, Folk RA, Gitzendanner MA, Soltis PS, Chen Z, Soltis DE, Guralnick RP. Recent accelerated diversification in rosids occurred outside the tropics. Nat Commun 2020; 11:3333. [PMID: 32620894 PMCID: PMC7335165 DOI: 10.1038/s41467-020-17116-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 06/05/2020] [Indexed: 01/28/2023] Open
Abstract
Conflicting relationships have been found between diversification rate and temperature across disparate clades of life. Here, we use a supermatrix comprising nearly 20,000 species of rosids-a clade of ~25% of all angiosperm species-to understand global patterns of diversification and its climatic association. Our approach incorporates historical global temperature, assessment of species' temperature niche, and two broad-scale characterizations of tropical versus non-tropical niche occupancy. We find the diversification rates of most subclades dramatically increased over the last 15 million years (Myr) during cooling associated with global expansion of temperate habitats. Climatic niche is negatively associated with diversification rates, with tropical rosids forming older communities and experiencing speciation rates ~2-fold below rosids in cooler climates. Our results suggest long-term cooling had a disproportionate effect on non-tropical diversification rates, leading to dynamic young communities outside of the tropics, while relative stability in tropical climes led to older, slower-evolving but still species-rich communities.
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Affiliation(s)
- Miao Sun
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA. .,Department of Bioscience, Aarhus University, Aarhus, 8000C, Denmark. .,State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China.
| | - Ryan A Folk
- Department of Biological Sciences, Mississippi State University, Starkville, MS, 39762, USA.
| | - Matthew A Gitzendanner
- Department of Biology, University of Florida, Gainesville, FL, 32611, USA.,Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA
| | - Pamela S Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA.,Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA.,Genetics Institute, University of Florida, Gainesville, FL, 32608, USA
| | - Zhiduan Chen
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, The Chinese Academy of Sciences, Beijing, 100093, China
| | - Douglas E Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA.,Department of Biology, University of Florida, Gainesville, FL, 32611, USA.,Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA.,Genetics Institute, University of Florida, Gainesville, FL, 32608, USA
| | - Robert P Guralnick
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA. .,Biodiversity Institute, University of Florida, Gainesville, FL, 32611, USA.
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