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Huang S, Zhang W, Hong Z, Yuan Y, Tan Z, Wang Y, Chen Z, Zheng J, Zhang Z, Zhang L, Chen M. Geographic distribution and impacts of climate change on the suitable habitats of Glycyrrhiza species in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:55625-55634. [PMID: 36897456 DOI: 10.1007/s11356-023-26232-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
Climate change has a major impact on the growth and distribution of plants. Glycyrrhiza is widely used in the treatment of many diseases in China. However, with the overexploitation and the growing demand for medicinal uses in of Glycyrrhiza plants. The investigation of the geographical distribution of Glycyrrhiza plants and the analysis of future climate change are of great significance for the conservation of Glycyrrhiza. In this study, combined with administrative maps of Chinese provinces, the present and future of geographical distribution and richness of six Glycyrrhiza plants in China were studied by using DIVA-GIS and MaxEnt software. A total of 981 herbarium records of these six species of Glycyrrhiza were collected to research. Results show that the change of climate in the future will lead to an increase in habitat suitability for some Glycyrrhiza species as follows: Glycyrrhiza inflata by 61.6%, Glycyrrhiza squamulosa by 47.5%, Glycyrrhiza pallidiflora by 34.0%, Glycyrrhiza yunnanensis by 49.0%, Glycyrrhiza glabra by 51.7%, and Glycyrrhiza aspera by 65.9%. Glycyrrhiza plants have considerable medicinal and economic value, so it is necessary to adopt targeted development and rational management strategies for it.
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Affiliation(s)
- Shiyuan Huang
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Wenchao Zhang
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Zhengyi Hong
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Yanghe Yuan
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Zekai Tan
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Ying Wang
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Zhuoyu Chen
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Jiahui Zheng
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Zheng Zhang
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Lanyue Zhang
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China
| | - Min Chen
- Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Medicine Food Homology Engineering Center of Guangdong Province, Institute of Natural Medicine and Green Chemistry, School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China.
- Department of Biology, University of Fribourg, CH-1700, Fribourg, Switzerland.
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Liow LH, Uyeda J, Hunt G. Cross-disciplinary information for understanding macroevolution. Trends Ecol Evol 2023; 38:250-260. [PMID: 36456381 DOI: 10.1016/j.tree.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/30/2022]
Abstract
Many different macroevolutionary models can produce the same observations. Despite efforts in building more complex and realistic models, it may still be difficult to distinguish the processes that have generated the biodiversity we observe. In this opinion we argue that we can make new progress by reaching out across disciplines, relying on independent data and theory to constrain macroevolutionary inference. Using mainly paleontological insights and data, we illustrate how we can eliminate less plausible or implausible models, and/or parts of parameter space, while applying comparative phylogenetic approaches. We emphasize that such cross-disciplinary insights and data can be drawn between many other disciplines relevant to macroevolution. We urge cross-disciplinary training, and collaboration using common-use databases as a platform for increasing our understanding.
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Affiliation(s)
- Lee Hsiang Liow
- Natural History Museum, University of Oslo, Oslo 0562, Norway.
| | - Josef Uyeda
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA
| | - Gene Hunt
- Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20560, USA
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de Alencar LRV, Quental TB. Linking population-level and microevolutionary processes to understand speciation dynamics at the macroevolutionary scale. Ecol Evol 2021; 11:5828-5843. [PMID: 34141187 PMCID: PMC8207422 DOI: 10.1002/ece3.7511] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 03/17/2021] [Indexed: 11/05/2022] Open
Abstract
Although speciation dynamics have been described for several taxonomic groups in distinct geographic regions, most macroevolutionary studies still lack a detailed mechanistic view on how or why speciation rates change. To help partially fill this gap, we suggest that the interaction between the time taken by a species to geographically expand and the time populations take to evolve reproductive isolation should be considered when we are trying to understand macroevolutionary patterns. We introduce a simple conceptual index to guide our discussion on how demographic and microevolutionary processes might produce speciation dynamics at macroevolutionary scales. Our framework is developed under different scenarios: when speciation is mediated by geographical or resource-partitioning opportunities, and when diversity is limited or not. We also discuss how organismal intrinsic properties and different overall geographical settings can influence the tempo and mode of speciation. We argue that specific conditions observed at the microscale might produce a pulse in speciation rates even without a pulse in either climate or physical barriers. We also propose a hypothesis to reconcile the apparent inconsistency between speciation measured at the microscale and macroscale, and emphasize that diversification rates are better seen as an emergent property. We hope to bring the reader's attention to interesting mechanisms to be further studied, to motivate the development of new theoretical models that connect microevolution and macroevolution, and to inspire new empirical and methodological approaches to more adequately investigate speciation dynamics either using neontological or paleontological data.
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Affiliation(s)
| | - Tiago Bosisio Quental
- Departamento de EcologiaInstituto de BiociênciasUniversidade de São PauloSão PauloBrazil
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Antell GT, Kiessling W, Aberhan M, Saupe EE. Marine Biodiversity and Geographic Distributions Are Independent on Large Scales. Curr Biol 2020; 30:115-121.e5. [PMID: 31839449 DOI: 10.1016/j.cub.2019.10.065] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 10/17/2019] [Accepted: 10/30/2019] [Indexed: 02/05/2023]
Abstract
Fundamental ecological and evolutionary theories, such as community saturation and diversity-dependent diversification, assume that biotic competition restricts resource use, and thus limits realized niche breadth and geographic range size [1-3]. This principle is called competitive exclusion. The corollary (ecological release) posits that, after competitors disappear from a region, species that were previously excluded will invade. Hundreds of field experiments have demonstrated ecological release in living populations. However, few of these studies were conducted in marine environments, and almost no work extended beyond 10 years and 1,000 km2 [4, 5]. In limited investigation of marine taxa at larger spatiotemporal scales, macroecologists and paleobiologists have observed little evidence of competitive exclusion [6-9]. Here, we quantified spatial trends in the rich and densely sampled fossil history of brachiopods and bivalves, while accounting for inconsistent sampling coverage through time using a new method of spatial standardization. The number of potential competitors in a region did not explain the geographic distribution of constituent species or genera. Furthermore, although ecological release predicts species to expand after extinction events, survivors of intervals with net species loss expanded as rarely as species in other intervals. Regression model estimates indicated different spatial responses of brachiopods and bivalves, and of habitat specialists and generalists, but no effect from changes in number of potential competitors. Biotic competition may control the distribution of populations, but, on larger spatiotemporal scales, non-competitive factors may have driven biogeographic patterns of brachiopods and bivalves.
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Affiliation(s)
- Gawain T Antell
- Department of Earth Sciences, University of Oxford, Oxford OX1 3AN, UK.
| | - Wolfgang Kiessling
- Section Paleobiology, Friedrich-Alexander Universität Erlangen-Nürnberg, Loewenichstraße 28, Erlangen 91054, Germany
| | - Martin Aberhan
- Museum für Naturkunde, Invalidenstraße 43, Berlin 10115, Germany
| | - Erin E Saupe
- Department of Earth Sciences, University of Oxford, Oxford OX1 3AN, UK.
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