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Guan Y, Wu Y, Cao Z, Wu Z, Yu F, Yu H, Wang T. Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity. PLANT DIVERSITY 2024; 46:565-574. [PMID: 39290891 PMCID: PMC11403146 DOI: 10.1016/j.pld.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 03/28/2024] [Accepted: 03/28/2024] [Indexed: 09/19/2024]
Abstract
Mountain biodiversity is of great importance to biogeography and ecology. However, it is unclear what ecological and evolutionary processes best explain the generation and maintenance of its high levels of species diversity. In this study, we determined which of six common hypotheses (e.g., climate hypotheses, habitat heterogeneity hypothesis and island biogeography theory) best explain global patterns of species diversity in Rhododendron. We found that Rhododendron diversity patterns were most strongly explained by proxies of island biogeography theory (i.e., mountain area) and habitat heterogeneity (i.e., elevation range). When we examined other relationships important to island biogeography theory, we found that the planimetric area and the volume of mountains were positively correlated with the Rhododendron diversity, whereas the 'mountains-to-mainland' distance was negatively correlated with Rhododendron diversity and shared species. Our findings demonstrate that Rhododendron diversity can be explained by island biogeography theory and habitat heterogeneity, and mountains can be regarded as islands which supported island biogeography theory.
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Affiliation(s)
- Yanwei Guan
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Yongru Wu
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Zheng Cao
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Zhifeng Wu
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Fangyuan Yu
- School of Geographical Sciences and Remote Sensing, Guangzhou University, Guangzhou 510006, China
| | - Haibin Yu
- School of Life Sciences, Guangzhou University, Guangzhou 510006, China
| | - Tiejun Wang
- Department of Natural Resources, Faculty of Geo-Information and Earth Observation (ITC), University of Twente, Drienerlolaan 5, Enschede 7522 NB, the Netherlands
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Setsuko S, Sugai K, Tamaki I, Takayama K, Kato H. Contrasting genetic diversity between Planchonella obovata sensu lato (Sapotaceae) on old continental and young oceanic island populations in Japan. PLoS One 2022; 17:e0273871. [PMID: 36054192 PMCID: PMC9439235 DOI: 10.1371/journal.pone.0273871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022] Open
Abstract
Genetic diversity of plant populations on islands is likely to be influenced by characteristics such as island origin (oceanic or continental) and their age, size, and distance to continental landmasses. In Japan, Planchonella obovata sensu lato which is found on both continental and oceanic islands of varying age, size, and distance to East Asian continental areas-is an ideal system in which to investigate the factors influencing genetic diversity of island plant species. In this study, we examined the genetic diversity of P. obovata s.l. populations, in the context of the species population genetic structure, demography, and between island migration, from 668 individuals, 28 populations and 14 islands including both continental (the Yaeyama Islands) and oceanic islands (the Daito, Bonin, and Volcano Islands) using 11 microsatellite markers. The Yaeyama and Volcano Islands respectively had the highest and lowest genetic diversity, and island origin and age significantly affected genetic diversity. Clustering analysis revealed that populations were grouped into Bonin, Volcano, and Yaeyama + Daito groups. However, Bonin and Volcano groups were distinct despite the relatively short geographical distance between them. Approximate Bayesian Computation analysis suggested that the population size was stable in Bonin and Yaeyama + Daito groups, whereas population reduction occurred in Volcano group, and migration between groups were very limited. Younger oceanic islands showed lower genetic diversity, probably due to limited gene flow and a lack of time to accumulate unique alleles. Genetic structure was generally consistent with the geographic pattern of the islands, but in Volcano, a limited number of founders and limited gene flow among islands are likely to have caused the large genetic divergence observed.
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Affiliation(s)
- Suzuki Setsuko
- Department of Forest Molecular Genetics and Biotechnology, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Tsukuba, Ibaraki, Japan
| | - Kyoko Sugai
- Institute of Agricultural and Life Sciences, Academic Assembly, Shimane University, Matsue, Shimane, Japan
| | - Ichiro Tamaki
- Gifu Academy of Forest Science and Culture, Mino, Gifu, Japan
| | - Koji Takayama
- Department of Botany, Graduate School of Science, Kyoto University, Sakyo-ku, Kyoto, Japan
| | - Hidetoshi Kato
- Makino Herbarium, Tokyo Metropolitan University, Hachioji, Tokyo, Japan
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Davis JB. Mottled Duck introductions to South Carolina: The ugly, the bad, and the good? Ecol Evol 2022; 12:e8850. [PMID: 35505995 PMCID: PMC9047980 DOI: 10.1002/ece3.8850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/18/2022] [Accepted: 04/01/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- J. Brian Davis
- Department of Wildlife, Fisheries & Aquaculture Mississippi State University Mississippi State Mississippi USA
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Canonne C, Montadert M, Besnard A. Drivers of black grouse trends in the French Alps: The prevailing contribution of climate. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Coline Canonne
- DRAS OFB Juvignac France
- EPHE, PSL Research University, CNRS, UM, SupAgro, IRD, INRA Montpellier France
| | | | - Aurélien Besnard
- EPHE, PSL Research University, CNRS, UM, SupAgro, IRD, INRA Montpellier France
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Understanding the genetic diversity of the guayabillo (Psidium galapageium), an endemic plant of the Galapagos Islands. Glob Ecol Conserv 2020. [DOI: 10.1016/j.gecco.2020.e01350] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
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Nilsen EB, Moa PF, Brøseth H, Pedersen HC, Hagen BR. Survival and Migration of Rock Ptarmigan in Central Scandinavia. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00034] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Arnesen CH, Johnsen CB, Costanzi JM, Rosell F. Canines (Canis lupus familiaris) as biodetectors for conservation work: Can they discriminate the rock ptarmigan (Lagopus muta) from the willow grouse (L. lagopus) in a yes/no task? PLoS One 2020; 15:e0228143. [PMID: 31990940 PMCID: PMC6986717 DOI: 10.1371/journal.pone.0228143] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 01/08/2020] [Indexed: 11/19/2022] Open
Abstract
Alpine and arctic bird populations have shown an unmistakable decrease over the last three decades, and the need for conservation is highly necessary. We investigated the use of five privately-owned dogs (Canis lupus familiaris) as a non-invasive tool to determine the presence of rock ptarmigan (Lagopus muta), through sniffing out faecal pellets, using a yes/no training regime. We carried out 36 double-blind experimental trials per dog and hypothesised that dogs could discriminate the rock ptarmigan from similar species, such as black grouse (Tetrao tetrix), western capercaillie (T. urogallus) and willow grouse (L. lagopus). Our dogs detected differences between the avian species with an average accuracy of 65.9%, sensitivity of 66.7% and specificity of 65.3%. We showed that privately-owned dogs have the potential to be used as biodetectors for conservational work within controlled laboratory conditions for declining species, but overall, only one dog was considered proficient enough. We concluded that dogs could be used as a non-invasive tool to detect the rock ptarmigan, and with further field training and testing, operate in the field for detection surveys.
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Affiliation(s)
- Charlotte Holmstad Arnesen
- Faculty of Technology, Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Christin Beate Johnsen
- Faculty of Technology, Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Jean-Marc Costanzi
- Faculty of Technology, Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
| | - Frank Rosell
- Faculty of Technology, Natural Science and Environmental Health, University of South-Eastern Norway, Bø i Telemark, Norway
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Yu W, Wu B, Wang X, Yao Z, Li Y, Liu Y. Scale-dependent effects of habitat fragmentation on the genetic diversity of Actinidia chinensis populations in China. HORTICULTURE RESEARCH 2020; 7:172. [PMID: 33082978 PMCID: PMC7553913 DOI: 10.1038/s41438-020-00401-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/25/2020] [Accepted: 08/04/2020] [Indexed: 05/04/2023]
Abstract
Spatial scale partly explains the differentiated effects of habitat fragmentation on plant biodiversity, but the mechanisms remain unclear. To investigate the effects of habitat fragmentation on genetic diversity at different scales, we sampled Actinidia chinensis Planch. at broad and fine scales, China. The broad-scale sampling included five mountain populations and one oceanic island population (Zhoushan Archipelago), and the fine-scale sampling covered 11 lake islands and three neighboring land populations in Thousand-Island Lake (TIL). These populations were genotyped at 30 microsatellite loci, and genetic diversity, gene flow, and genetic differentiation were evaluated. Genetic differentiation was positively related to geographical distance at the broad scale, indicating an isolation-by-distance effect of habitat fragmentation on genetic diversity. The oceanic population differed from the mainland populations and experienced recent bottleneck events, but it showed high gene flow with low genetic differentiation from a mountain population connected by the Yangtze River. At the fine scale, no negative genetic effects of habitat fragmentation were found because seed dispersal with water facilitates gene flow between islands. The population size of A. chinensis was positively correlated with the area of TIL islands, supporting island biogeography theory, but no correlation was found between genetic diversity and island area. Our results highlight the scale-dependent effects of habitat fragmentation on genetic diversity and the importance of connectivity between island-like isolated habitats at both the broad and fine scales.
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Affiliation(s)
- Wenhao Yu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
| | - Baofeng Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
| | - Xinyu Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
| | - Zhi Yao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
| | - Yonghua Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
| | - Yongbo Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 8 Dayangfang, 100012 Beijing, China
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