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Zhao WY, Liu ZC, Shi S, Li JL, Xu KW, Huang KY, Chen ZH, Wang YR, Huang CY, Wang Y, Chen JR, Sun XL, Liang WX, Guo W, Wang LY, Meng KK, Li XJ, Yin QY, Zhou RC, Wang ZD, Wu H, Cui DF, Su ZY, Xin GR, Liu WQ, Shu WS, Jin JH, Boufford DE, Fan Q, Wang L, Chen SF, Liao WB. Landform and lithospheric development contribute to the assembly of mountain floras in China. Nat Commun 2024; 15:5139. [PMID: 38886388 PMCID: PMC11183111 DOI: 10.1038/s41467-024-49522-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/07/2024] [Indexed: 06/20/2024] Open
Abstract
Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-specific differences among montane floras based on a dataset comprising 17,576 angiosperm species representing 140 Chinese mountain floras, which we define as the collection of all angiosperm species growing on a specific mountain. Our results show that igneous bedrock (granitic and karst-granitic landforms) is correlated with higher species richness and phylogenetic overdispersion, while the opposite is true for sedimentary bedrock (karst, Danxia, and desert landforms), which is correlated with phylogenetic clustering. Furthermore, we show that landform type was the primary determinant of the assembly of evolutionarily older species within floras, while climate was a greater determinant for younger species. Our study indicates that landform type not only affects montane species richness, but also contributes to the composition of montane floras. To explain the assembly and differentiation of mountain floras, we propose the 'floristic geo-lithology hypothesis', which highlights the role of bedrock and landform processes in montane floristic assembly and provides insights for future research on speciation, migration, and biodiversity in montane regions.
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Affiliation(s)
- Wan-Yi Zhao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhong-Cheng Liu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- College of Resource Environment and Tourism, Capital Normal University, Beijing, China
| | - Shi Shi
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Jie-Lan Li
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Ke-Wang Xu
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Kang-You Huang
- School of Earth Science and Engineering, Sun Yat-sen University, Zhuhai, China
| | - Zhi-Hui Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ya-Rong Wang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Cui-Ying Huang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yan Wang
- School of Ecology, Sun Yat-sen University, Shenzhen, China
| | - Jing-Rui Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xian-Ling Sun
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Wen-Xing Liang
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
| | - Wei Guo
- College of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Long-Yuan Wang
- College of Horticulture and Landscape Architecture, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Kai-Kai Meng
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xu-Jie Li
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Qian-Yi Yin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ren-Chao Zhou
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhao-Dong Wang
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Hao Wu
- Shenzhen Dapeng Peninsula National Geopark, Shenzhen, China
| | - Da-Fang Cui
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Zhi-Yao Su
- Guangdong Key Laboratory for Innovative Development and Utilization of Forest Plant Germplasm, South China Agricultural University, Guangzhou, China
| | - Guo-Rong Xin
- School of Agriculture, Sun Yat-sen University, Shenzhen, China
| | - Wei-Qiu Liu
- School of Ecology, Sun Yat-sen University, Shenzhen, China
| | - Wen-Sheng Shu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Jian-Hua Jin
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | | | - Qiang Fan
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Lei Wang
- College of Resource Environment and Tourism, Capital Normal University, Beijing, China.
| | - Su-Fang Chen
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
| | - Wen-Bo Liao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Stress Biology, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
- School of Ecology, Sun Yat-sen University, Shenzhen, China.
- School of Agriculture, Sun Yat-sen University, Shenzhen, China.
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Trepel J, le Roux E, Abraham AJ, Buitenwerf R, Kamp J, Kristensen JA, Tietje M, Lundgren EJ, Svenning JC. Meta-analysis shows that wild large herbivores shape ecosystem properties and promote spatial heterogeneity. Nat Ecol Evol 2024; 8:705-716. [PMID: 38337048 DOI: 10.1038/s41559-024-02327-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 01/08/2024] [Indexed: 02/12/2024]
Abstract
Megafauna (animals ≥45 kg) have probably shaped the Earth's terrestrial ecosystems for millions of years with pronounced impacts on biogeochemistry, vegetation, ecological communities and evolutionary processes. However, a quantitative global synthesis on the generality of megafauna effects on ecosystems is lacking. Here we conducted a meta-analysis of 297 studies and 5,990 individual observations across six continents to determine how wild herbivorous megafauna influence ecosystem structure, ecological processes and spatial heterogeneity, and whether these impacts depend on body size and environmental factors. Despite large variability in megafauna effects, we show that megafauna significantly alter soil nutrient availability, promote open vegetation structure and reduce the abundance of smaller animals. Other responses (14 out of 26), including, for example, soil carbon, were not significantly affected. Further, megafauna significantly increase ecosystem heterogeneity by affecting spatial heterogeneity in vegetation structure and the abundance and diversity of smaller animals. Given that spatial heterogeneity is considered an important driver of biodiversity across taxonomic groups and scales, these results support the hypothesis that megafauna may promote biodiversity at large scales. Megafauna declined precipitously in diversity and abundance since the late Pleistocene, and our results indicate that their restoration would substantially influence Earth's terrestrial ecosystems.
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Affiliation(s)
- Jonas Trepel
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark.
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark.
- Department of Conservation Biology, University of Göttingen, Göttingen, Germany.
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark.
| | - Elizabeth le Roux
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
- Mammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Pretoria, South Africa
| | - Andrew J Abraham
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
- School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
| | - Robert Buitenwerf
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
| | - Johannes Kamp
- Department of Conservation Biology, University of Göttingen, Göttingen, Germany
| | - Jeppe A Kristensen
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
| | - Melanie Tietje
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
| | - Erick J Lundgren
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark.
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark.
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark.
- School of Biology and Environmental Science, Faculty of Science, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Jens-Christian Svenning
- Center for Ecological Dynamics in a Novel Biosphere (ECONOVO), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
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3
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Pérez-Escobar OA, Bogarín D, Przelomska NAS, Ackerman JD, Balbuena JA, Bellot S, Bühlmann RP, Cabrera B, Cano JA, Charitonidou M, Chomicki G, Clements MA, Cribb P, Fernández M, Flanagan NS, Gravendeel B, Hágsater E, Halley JM, Hu AQ, Jaramillo C, Mauad AV, Maurin O, Müntz R, Leitch IJ, Li L, Negrão R, Oses L, Phillips C, Rincon M, Salazar GA, Simpson L, Smidt E, Solano-Gomez R, Parra-Sánchez E, Tremblay RL, van den Berg C, Tamayo BSV, Zuluaga A, Zuntini AR, Chase MW, Fay MF, Condamine FL, Forest F, Nargar K, Renner SS, Baker WJ, Antonelli A. The origin and speciation of orchids. THE NEW PHYTOLOGIST 2024; 242:700-716. [PMID: 38382573 DOI: 10.1111/nph.19580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/04/2023] [Indexed: 02/23/2024]
Abstract
Orchids constitute one of the most spectacular radiations of flowering plants. However, their origin, spread across the globe, and hotspots of speciation remain uncertain due to the lack of an up-to-date phylogeographic analysis. We present a new Orchidaceae phylogeny based on combined high-throughput and Sanger sequencing data, covering all five subfamilies, 17/22 tribes, 40/49 subtribes, 285/736 genera, and c. 7% (1921) of the 29 524 accepted species, and use it to infer geographic range evolution, diversity, and speciation patterns by adding curated geographical distributions from the World Checklist of Vascular Plants. The orchids' most recent common ancestor is inferred to have lived in Late Cretaceous Laurasia. The modern range of Apostasioideae, which comprises two genera with 16 species from India to northern Australia, is interpreted as relictual, similar to that of numerous other groups that went extinct at higher latitudes following the global climate cooling during the Oligocene. Despite their ancient origin, modern orchid species diversity mainly originated over the last 5 Ma, with the highest speciation rates in Panama and Costa Rica. These results alter our understanding of the geographic origin of orchids, previously proposed as Australian, and pinpoint Central America as a region of recent, explosive speciation.
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Affiliation(s)
| | - Diego Bogarín
- Lankester Botanical Garden, University of Costa Rica, P.O. Box 302-7050, Cartago, Costa Rica
- Naturalis Biodiversity Centre, Leiden, CR 2333, the Netherlands
| | - Natalia A S Przelomska
- Royal Botanic Gardens, Kew, London, TW9 3AE, UK
- University of Portsmouth, Portsmouth, PO1 2DY, UK
| | - James D Ackerman
- University of Puerto Rico - Rio Piedras, San Juan, PR, 00925-2537, USA
| | | | | | | | - Betsaida Cabrera
- Jardín Botánico Rafael Maria Moscoso, Santo Domingo, 21-9, Dominican Republic
| | | | | | | | - Mark A Clements
- Centre for Australian National Biodiversity Research (joint venture between Parks Australia and CSIRO), GPO Box 1700, Canberra, ACT, 2601, Australia
| | | | - Melania Fernández
- Lankester Botanical Garden, University of Costa Rica, P.O. Box 302-7050, Cartago, Costa Rica
| | - Nicola S Flanagan
- Universidad Pontificia Javeriana, Seccional Cali, Cali, 760031, Colombia
| | | | | | | | - Ai-Qun Hu
- Singapore Botanic Gardens, 1 Cluny Road, Singapore, 257494, Singapore
| | - Carlos Jaramillo
- Smithsonian Tropical Research Institute, Apartado, Panama City, 0843-03092, Panama
| | | | | | - Robert Müntz
- Reserva Biológica Guaitil, Eisenstadt, 7000, Austria
| | | | - Lan Li
- National Research Collections Australia, Commonwealth Industrial and Scientific Research Organisation (CSIRO), GPO Box 1700, Canberra, ACT, 2601, Australia
| | | | - Lizbeth Oses
- Lankester Botanical Garden, University of Costa Rica, P.O. Box 302-7050, Cartago, Costa Rica
| | - Charlotte Phillips
- Royal Botanic Gardens, Kew, London, TW9 3AE, UK
- University of Portsmouth, Portsmouth, PO1 2DY, UK
| | - Milton Rincon
- Jardín Botánico Jose Celestino Mutis, Bogota, 111071, Colombia
| | | | - Lalita Simpson
- Australian Tropical Herbarium, James Cook University, GPO Box 6811, Cairns, Qld, 4878, Australia
| | - Eric Smidt
- Universidade Federal do Paraná, Curitiba, 19031, Brazil
| | | | | | | | - Cassio van den Berg
- Universidade Estadual de Feira de Santana, Feira de Santana, 44036-900, Brazil
| | | | | | | | - Mark W Chase
- Royal Botanic Gardens, Kew, London, TW9 3AE, UK
- Department of Environment and Agriculture, Curtin University, Perth, WA, 6102, Australia
| | | | - Fabien L Condamine
- Institut des Sciences de l'Evolution de Montpellier (Université de Montpellier|CNRS|IRD|EPHE), Place Eugène Bataillon, Montpellier, 34000, France
| | | | - Katharina Nargar
- National Research Collections Australia, Commonwealth Industrial and Scientific Research Organisation (CSIRO), GPO Box 1700, Canberra, ACT, 2601, Australia
- Australian Tropical Herbarium, James Cook University, GPO Box 6811, Cairns, Qld, 4878, Australia
- Scientific Research Organisation (CSIRO), GPO Box 1700, Canberra, ACT, 2601, Australia
| | | | | | - Alexandre Antonelli
- Royal Botanic Gardens, Kew, London, TW9 3AE, UK
- Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, Gothenburg, 417 56, Sweden
- University of Gothenburg, Gothenburg, 417 56, Sweden
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
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David KT, Harrison MC, Opulente DA, LaBella AL, Wolters JF, Zhou X, Shen XX, Groenewald M, Pennell M, Hittinger CT, Rokas A. Saccharomycotina yeasts defy long-standing macroecological patterns. Proc Natl Acad Sci U S A 2024; 121:e2316031121. [PMID: 38412132 DOI: 10.1073/pnas.2316031121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/24/2024] [Indexed: 02/29/2024] Open
Abstract
The Saccharomycotina yeasts ("yeasts" hereafter) are a fungal clade of scientific, economic, and medical significance. Yeasts are highly ecologically diverse, found across a broad range of environments in every biome and continent on earth; however, little is known about what rules govern the macroecology of yeast species and their range limits in the wild. Here, we trained machine learning models on 12,816 terrestrial occurrence records and 96 environmental variables to infer global distribution maps at ~1 km2 resolution for 186 yeast species (~15% of described species from 75% of orders) and to test environmental drivers of yeast biogeography and macroecology. We found that predicted yeast diversity hotspots occur in mixed montane forests in temperate climates. Diversity in vegetation type and topography were some of the greatest predictors of yeast species richness, suggesting that microhabitats and environmental clines are key to yeast diversity. We further found that range limits in yeasts are significantly influenced by carbon niche breadth and range overlap with other yeast species, with carbon specialists and species in high-diversity environments exhibiting reduced geographic ranges. Finally, yeasts contravene many long-standing macroecological principles, including the latitudinal diversity gradient, temperature-dependent species richness, and a positive relationship between latitude and range size (Rapoport's rule). These results unveil how the environment governs the global diversity and distribution of species in the yeast subphylum. These high-resolution models of yeast species distributions will facilitate the prediction of economically relevant and emerging pathogenic species under current and future climate scenarios.
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Affiliation(s)
- Kyle T David
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
| | - Marie-Claire Harrison
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
| | - Dana A Opulente
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
- Department of Biology, Villanova University, Villanova, PA 19085
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223
| | - John F Wolters
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
| | - Xiaofan Zhou
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Xing-Xing Shen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | | | - Matt Pennell
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089
- Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089
| | - Chris Todd Hittinger
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
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5
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Yu D, Wiens JJ. The causes of species richness patterns among clades. Proc Biol Sci 2024; 291:20232436. [PMID: 38262607 PMCID: PMC10805600 DOI: 10.1098/rspb.2023.2436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024] Open
Abstract
Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
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Affiliation(s)
- Dan Yu
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Science, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, People's Republic of China
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721-0088, USA
| | - John J. Wiens
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721-0088, USA
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6
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Ferrer MM, Vásquez-Cruz M, Hernández-Hernández T, Good SV. Geographical and life-history traits associated with low and high species richness across angiosperm families. FRONTIERS IN PLANT SCIENCE 2023; 14:1276727. [PMID: 38107007 PMCID: PMC10722503 DOI: 10.3389/fpls.2023.1276727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/26/2023] [Indexed: 12/19/2023]
Abstract
Introduction The phenomenal expansion of angiosperms has prompted many investigations into the factors driving their diversification, but there remain significant gaps in our understanding of flowering plant species diversity. Methods Using the crown age of families from five studies, we used a maximum likelihood approach to classify families as having poor, predicted or high species richness (SR) using strict consensus criteria. Using these categories, we looked for associations between family SR and i) the presence of an inferred familial ancestral polyploidization event, ii) 23 life history and floral traits compiled from previously published datasets and papers, and iii) sexual system (dioecy) or genetically determined self-incompatibility (SI) mating system using an updated version of our own database and iv) geographic distribution using a new database describing the global distribution of plant species/families across realms and biomes and inferred range. Results We find that more than a third of angiosperm families (65%) had predicted SR, a large proportion (30.2%) were species poor, while few (4.8%) had high SR. Families with poor SR were less likely to have undergone an ancestral polyploidization event, exhibited deficits in diverse traits, and were more likely to have unknown breeding systems and to be found in only one or few biomes and realms, especially the Afrotropics or Australasia. On the other hand, families with high SR were more likely to have animal mediated pollination or dispersal, are enriched for epiphytes and taxa with an annual life history, and were more likely to harbour sporophytic SI systems. Mapping the global distribution of georeferenced taxa by their family DR, we find evidence of regions dominated by taxa from lineages with high vs low SR. Discussion These results are discussed within the context of the literature describing "depauperons" and the factors contributing to low and high biodiversity in angiosperm clades.
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Affiliation(s)
- Miriam Monserrat Ferrer
- Departamento de Manejo y Conservación de Recursos Naturales Tropicales, Universidad Autónoma de Yucatán, Mérida Yucatán, Mexico
| | | | | | - Sara V. Good
- Department of Biology, The University of Winnipeg, Winnipeg, MB, Canada
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7
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Qian H, Kessler M, Zhang J, Jin Y, Soltis DE, Qian S, Zhou Y, Soltis PS. Angiosperm phylogenetic diversity is lower in Africa than South America. SCIENCE ADVANCES 2023; 9:eadj1022. [PMID: 37967173 PMCID: PMC10651126 DOI: 10.1126/sciadv.adj1022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/13/2023] [Indexed: 11/17/2023]
Abstract
Although originating from a common Gondwanan flora, the diversity and composition of the floras of Africa and South America have greatly diverged since continental breakup of Africa from South America now having much higher plant species richness. However, the phylogenetic diversity of the floras and what this tells us about their evolution remained unexplored. We show that for a given species richness and considering land surface area, topography, and present-day climate, angiosperm phylogenetic diversity in South America is higher than in Africa. This relationship holds regardless of whether all climatically matched areas or only matched areas in tropical climates are considered. Phylogenetic diversity is high relative to species richness in refugial areas in Africa and in northwestern South America, once the gateway for immigration from the north. While species richness is strongly influenced by massive plant radiations in South America, we detect a pervasive influence of historical processes on the phylogenetic diversity of both the South American and African floras.
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Affiliation(s)
- Hong Qian
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
- Research and Collections Center, Illinois State Museum, 1011 East Ash Street, Springfield, IL 62703, USA
| | - Michael Kessler
- Department of Systematic and Evolutionary Botany, University of Zurich, Zurich, Switzerland
| | - Jian Zhang
- Center for Global Change and Complex Ecosystems, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Yi Jin
- Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, Guizhou Normal University, Guiyang 550025, China
| | - Douglas E. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
- Biodiversity Institute, University of Florida, Gainesville, FL 32611, USA
- Department of Biology, University of Florida, Gainesville, FL 32611, USA
| | - Shenhua Qian
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Yadong Zhou
- School of Life Sciences, Nanchang University, Nanchang 330031, Jiangxi, China
| | - Pamela S. Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
- Genetics Institute, University of Florida, Gainesville, FL 32608, USA
- Biodiversity Institute, University of Florida, Gainesville, FL 32611, USA
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8
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Tietje M, Antonelli A, Forest F, Govaerts R, Smith SA, Sun M, Baker WJ, Eiserhardt WL. Global hotspots of plant phylogenetic diversity. THE NEW PHYTOLOGIST 2023; 240:1636-1646. [PMID: 37496281 DOI: 10.1111/nph.19151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 06/24/2023] [Indexed: 07/28/2023]
Abstract
Regions harbouring high unique phylogenetic diversity (PD) are priority targets for conservation. Here, we analyse the global distribution of plant PD, which remains poorly understood despite plants being the foundation of most terrestrial habitats and key to human livelihoods. Capitalising on a recently completed, comprehensive global checklist of vascular plants, we identify hotspots of unique plant PD and test three hypotheses: (1) PD is more evenly distributed than species diversity; (2) areas of highest PD (often called 'hotspots') do not maximise cumulative PD; and (3) many biomes are needed to maximise cumulative PD. Our results support all three hypotheses: more than twice as many regions are required to cover 50% of global plant PD compared to 50% of species; regions that maximise cumulative PD substantially differ from the regions with outstanding individual PD; and while (sub-)tropical moist forest regions dominate across PD hotspots, other forest types and open biomes are also essential. Safeguarding PD in the Anthropocene (including the protection of some comparatively species-poor areas) is a global, increasingly recognised responsibility. Having highlighted countries with outstanding unique plant PD, further analyses are now required to fully understand the global distribution of plant PD and associated conservation imperatives across spatial scales.
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Affiliation(s)
- Melanie Tietje
- Department of Biology, Aarhus University, Aarhus, 8000, Denmark
| | - Alexandre Antonelli
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
- Department of Biology, University of Oxford, Oxford, OX1 3SZ, UK
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Göteborg, 413 19, Sweden
| | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
| | | | - Stephen A Smith
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Miao Sun
- National Key Laboratory for Germplasm Innovation and Utilization of Horticultural Crops, Huazhong Agriculture University, Wuhan, Hubei, 430070, China
| | | | - Wolf L Eiserhardt
- Department of Biology, Aarhus University, Aarhus, 8000, Denmark
- Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK
- Aarhus Institute of Advanced Studies, Aarhus University, Aaarhus, 8000, Denmark
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9
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Chang Y, Gelwick K, Willett SD, Shen X, Albouy C, Luo A, Wang Z, Zimmermann NE, Pellissier L. Phytodiversity is associated with habitat heterogeneity from Eurasia to the Hengduan Mountains. THE NEW PHYTOLOGIST 2023; 240:1647-1658. [PMID: 37638474 DOI: 10.1111/nph.19206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 07/24/2023] [Indexed: 08/29/2023]
Abstract
The geographic distribution of plant diversity matches the gradient of habitat heterogeneity from lowlands to mountain regions. However, little is known about how much this relationship is conserved across scales. Using the World Checklist of Vascular Plants and high-resolution biodiversity maps developed by species distribution models, we investigated the associations between species richness and habitat heterogeneity at the scales of Eurasia and the Hengduan Mountains (HDM) in China. Habitat heterogeneity explains seed plant species richness across Eurasia, but the plant species richness of 41/97 HDM families is even higher than expected from fitted statistical relationships. A habitat heterogeneity index combining growing degree days, site water balance, and bedrock type performs better than heterogeneity based on single variables in explaining species richness. In the HDM, the association between heterogeneity and species richness is stronger at larger scales. Our findings suggest that high environmental heterogeneity provides suitable conditions for the diversification of lineages in the HDM. Nevertheless, habitat heterogeneity alone cannot fully explain the distribution of species richness in the HDM, especially in the western HDM, and complementary mechanisms, such as the complex geological history of the region, may have contributed to shaping this exceptional biodiversity hotspot.
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Affiliation(s)
- Yaquan Chang
- Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland
- Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
- Dynamic Macroecology, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Katrina Gelwick
- Earth Surface Dynamics, Department of Earth Sciences, ETH Zürich, Sonneggstrasse 5, 8092, Zürich, Switzerland
| | - Sean D Willett
- Earth Surface Dynamics, Department of Earth Sciences, ETH Zürich, Sonneggstrasse 5, 8092, Zürich, Switzerland
| | - Xinwei Shen
- Department of Mathematics, Seminar for Statistics, ETH Zürich, Rämistrasse 101, 8092, Zürich, Switzerland
| | - Camille Albouy
- Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland
- Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Ao Luo
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zhiheng Wang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Niklaus E Zimmermann
- Dynamic Macroecology, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
| | - Loïc Pellissier
- Ecosystems and Landscape Evolution, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 16, 8092, Zürich, Switzerland
- Ecosystems and Landscape Evolution, Land Change Science Research Unit, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
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10
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David KT, Harrison MC, Opulente DA, LaBella AL, Wolters JF, Zhou X, Shen XX, Groenewald M, Pennell M, Hittinger CT, Rokas A. Saccharomycotina yeasts defy longstanding macroecological patterns. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.29.555417. [PMID: 37693602 PMCID: PMC10491267 DOI: 10.1101/2023.08.29.555417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
The Saccharomycotina yeasts ("yeasts" hereafter) are a fungal clade of scientific, economic, and medical significance. Yeasts are highly ecologically diverse, found across a broad range of environments in every biome and continent on earth1; however, little is known about what rules govern the macroecology of yeast species and their range limits in the wild2. Here, we trained machine learning models on 12,221 occurrence records and 96 environmental variables to infer global distribution maps for 186 yeast species (~15% of described species from 75% of orders) and to test environmental drivers of yeast biogeography and macroecology. We found that predicted yeast diversity hotspots occur in mixed montane forests in temperate climates. Diversity in vegetation type and topography were some of the greatest predictors of yeast species richness, suggesting that microhabitats and environmental clines are key to yeast diversification. We further found that range limits in yeasts are significantly influenced by carbon niche breadth and range overlap with other yeast species, with carbon specialists and species in high diversity environments exhibiting reduced geographic ranges. Finally, yeasts contravene many longstanding macroecological principles, including the latitudinal diversity gradient, temperature-dependent species richness, and latitude-dependent range size (Rapoport's rule). These results unveil how the environment governs the global diversity and distribution of species in the yeast subphylum. These high-resolution models of yeast species distributions will facilitate the prediction of economically relevant and emerging pathogenic species under current and future climate scenarios.
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Affiliation(s)
- Kyle T. David
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - Marie-Claire Harrison
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - Dana A. Opulente
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
- Department of Biology, Villanova University, Villanova PA 19085, USA
| | - Abigail L. LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte NC 28223, USA
| | - John F. Wolters
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Xiaofan Zhou
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Xing-Xing Shen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | | | - Matt Pennell
- Department of Quantitative and Computational Biology and Biological Sciences, University of Southern California, Los Angeles CA 90089, USA
| | - Chris Todd Hittinger
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
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11
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Burbrink FT, Ruane S, Rabibisoa N, Raselimanana AP, Raxworthy CJ, Kuhn A. Speciation rates are unrelated to the formation of population structure in Malagasy gemsnakes. Ecol Evol 2023; 13:e10344. [PMID: 37529593 PMCID: PMC10375368 DOI: 10.1002/ece3.10344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 06/07/2023] [Accepted: 06/30/2023] [Indexed: 08/03/2023] Open
Abstract
Speciation rates vary substantially across the tree of life. These rates should be linked to the rate at which population structure forms if a continuum between micro and macroevolutionary patterns exists. Previous studies examining the link between speciation rates and the degree of population formation in clades have been shown to be either correlated or uncorrelated depending on the group, but no study has yet examined the relationship between speciation rates and population structure in a young group that is constrained spatially to a single-island system. We examine this correlation in 109 gemsnakes (Pseudoxyrhophiidae) endemic to Madagascar and originating in the early Miocene, which helps control for extinction variation across time and space. We find no relationship between rates of speciation and the formation rates of population structure over space in 33 species of gemsnakes. Rates of speciation show low variation, yet population structure varies widely across species, indicating that speciation rates and population structure are disconnected. We suspect this is largely due to the persistence of some lineages not susceptible to extinction. Importantly, we discuss how delimiting populations versus species may contribute to problems understanding the continuum between shallow and deep evolutionary processes.
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Affiliation(s)
- Frank T. Burbrink
- Department of HerpetologyAmerican Museum of Natural HistoryNew York CityNew YorkUSA
| | - Sara Ruane
- Life Sciences Section, Negaunee Integrative Research CenterField Museum of Natural HistoryChicagoIllinoisUSA
| | - Nirhy Rabibisoa
- Sciences de la Vie et de l'Environnement, Faculté des Sciences, de Technologies et de l'EnvironnementUniversité de MahajangaMahajangaMadagascar
| | - Achille P. Raselimanana
- Zoologie et Biodiversité Animale, Faculté des SciencesUniversité d'AntananarivoAntananarivoMadagascar
| | | | - Arianna Kuhn
- Department of HerpetologyAmerican Museum of Natural HistoryNew York CityNew YorkUSA
- Virginia Museum of Natural HistoryMartinsvilleVirginiaUSA
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12
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Pie MR, Divieso R, Caron FS. Clade density and the evolution of diversity-dependent diversification. Nat Commun 2023; 14:4576. [PMID: 37516766 PMCID: PMC10387094 DOI: 10.1038/s41467-023-39629-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 06/16/2023] [Indexed: 07/31/2023] Open
Abstract
The assumption of an ecological limit to the number of species in a given region is frequently invoked in evolutionary studies, yet its empirical basis is remarkably meager. We explore this assumption by integrating data on geographical distributions and phylogenetic relationships of nearly six thousand terrestrial vertebrate species. In particular, we test whether sympatry with closely-related species leads to decreasing speciation rates. We introduce the concept of clade density, which is the sum of the areas of overlap between a given species and other members of its higher taxon, weighted by their phylogenetic distance. Our results showed that, regardless of the chosen taxon and uncertainty in the phylogenetic relationships between the studied species, there is no significant relationship between clade density and speciation rate. We argue that the mechanistic foundation of diversity-dependent diversification is fragile, and that a better understanding of the mechanisms driving regional species pools is sorely needed.
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Affiliation(s)
- Marcio R Pie
- Biology Department, Edge Hill University, Ormskirk, Lancashire, UK.
| | - Raquel Divieso
- Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Fernanda S Caron
- Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
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13
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Cai L, Kreft H, Taylor A, Schrader J, Dawson W, Essl F, van Kleunen M, Pergl J, Pyšek P, Winter M, Weigelt P. Climatic stability and geological history shape global centers of neo- and paleoendemism in seed plants. Proc Natl Acad Sci U S A 2023; 120:e2300981120. [PMID: 37459510 PMCID: PMC10372566 DOI: 10.1073/pnas.2300981120] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 06/16/2023] [Indexed: 07/20/2023] Open
Abstract
Assessing the distribution of geographically restricted and evolutionarily unique species and their underlying drivers is key to understanding biogeographical processes and critical for global conservation prioritization. Here, we quantified the geographic distribution and drivers of phylogenetic endemism for ~320,000 seed plants worldwide and identified centers and drivers of evolutionarily young (neoendemism) and evolutionarily old endemism (paleoendemism). Tropical and subtropical islands as well as tropical mountain regions displayed the world's highest phylogenetic endemism. Most tropical rainforest regions emerged as centers of paleoendemism, while most Mediterranean-climate regions showed high neoendemism. Centers where high neo- and paleoendemism coincide emerged on some oceanic and continental fragment islands, in Mediterranean-climate regions and parts of the Irano-Turanian floristic region. Global variation in phylogenetic endemism was well explained by a combination of past and present environmental factors (79.8 to 87.7% of variance explained) and most strongly related to environmental heterogeneity. Also, warm and wet climates, geographic isolation, and long-term climatic stability emerged as key drivers of phylogenetic endemism. Neo- and paleoendemism were jointly explained by climatic and geological history. Long-term climatic stability promoted the persistence of paleoendemics, while the isolation of oceanic islands and their unique geological histories promoted neoendemism. Mountainous regions promoted both neo- and paleoendemism, reflecting both diversification and persistence over time. Our study provides insights into the evolutionary underpinnings of biogeographical patterns in seed plants and identifies the areas on Earth with the highest evolutionary and biogeographical uniqueness-key information for setting global conservation priorities.
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Affiliation(s)
- Lirong Cai
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Göttingen37077, Germany
| | - Holger Kreft
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Göttingen37077, Germany
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen37077, Germany
- Campus-Institute Data Science, Göttingen37077, Germany
| | - Amanda Taylor
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Göttingen37077, Germany
| | - Julian Schrader
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Göttingen37077, Germany
- School of Natural Sciences, Macquarie University, Sydney, NSW2109, Australia
| | - Wayne Dawson
- Department of Biosciences, Durham University, DurhamDH1 3LE, United Kingdom
| | - Franz Essl
- Division of Bioinvasions, Global Change & Macroecology, University Vienna, Vienna1030, Austria
| | - Mark van Kleunen
- Ecology, Department of Biology, University of Konstanz, Konstanz78464, Germany
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, Taizhou318000, China
| | - Jan Pergl
- Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, Průhonice252 43, Czech Republic
| | - Petr Pyšek
- Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, Průhonice252 43, Czech Republic
- Department of Ecology, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Marten Winter
- German Centre for Integrative Biodiversity Research Halle-Jena-Leipzig, Leipzig04103, Germany
| | - Patrick Weigelt
- Biodiversity, Macroecology and Biogeography, University of Göttingen, Göttingen37077, Germany
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen37077, Germany
- Campus-Institute Data Science, Göttingen37077, Germany
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14
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Thompson JB, Davis KE, Dodd HO, Wills MA, Priest NK. Speciation across the Earth driven by global cooling in terrestrial orchids. Proc Natl Acad Sci U S A 2023; 120:e2102408120. [PMID: 37428929 PMCID: PMC10629580 DOI: 10.1073/pnas.2102408120] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 06/03/2023] [Indexed: 07/12/2023] Open
Abstract
Although climate change has been implicated as a major catalyst of diversification, its effects are thought to be inconsistent and much less pervasive than localized climate or the accumulation of species with time. Focused analyses of highly speciose clades are needed in order to disentangle the consequences of climate change, geography, and time. Here, we show that global cooling shapes the biodiversity of terrestrial orchids. Using a phylogeny of 1,475 species of Orchidoideae, the largest terrestrial orchid subfamily, we find that speciation rate is dependent on historic global cooling, not time, tropical distributions, elevation, variation in chromosome number, or other types of historic climate change. Relative to the gradual accumulation of species with time, models specifying speciation driven by historic global cooling are over 700 times more likely. Evidence ratios estimated for 212 other plant and animal groups reveal that terrestrial orchids represent one of the best-supported cases of temperature-spurred speciation yet reported. Employing >2.5 million georeferenced records, we find that global cooling drove contemporaneous diversification in each of the seven major orchid bioregions of the Earth. With current emphasis on understanding and predicting the immediate impacts of global warming, our study provides a clear case study of the long-term impacts of global climate change on biodiversity.
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Affiliation(s)
- Jamie B. Thompson
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Katie E. Davis
- Department of Biology, University of York, YorkYO10 5DD, United Kingdom
| | - Harry O. Dodd
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Matthew A. Wills
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
| | - Nicholas K. Priest
- The Milner Centre for Evolution, Department of Life Sciences, University of Bath, BathBA2 7AY, United Kingdom
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15
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Zhou P, Li JH, Liu YZ, Zhu ZW, Luo Y, Xiang XG. Species richness disparity in tropical terrestrial herbaceous floras: evolutionary insight from Collabieae (Orchidaceae). Mol Phylogenet Evol 2023:107860. [PMID: 37329932 DOI: 10.1016/j.ympev.2023.107860] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/07/2023] [Accepted: 06/13/2023] [Indexed: 06/19/2023]
Abstract
Species richness is spatially heterogeneous even in the hyperdiverse tropical floras. The main cause of uneven species richness among the four tropical regions are hot debated. To date, higher net diversification rates and/or longer colonization time have been usually proposed to contribute to this pattern. However, there are few studies to clarify the species richness patterns in tropical terrestrial floras. The terrestrial tribe Collabieae (Orchidaceae) unevenly distributes in the tropical regions with a diverse and endemic center in Asia. Twenty-one genera 127 species of Collabieae and 26 DNA regions were used to reconstruct the phylogeny and infer the biogeographical processes. We compared the topologies, diversification rates and niche rates of Collabieae and regional lineages on empirical samplings and different simulated samplings fractions respectively. Our results suggested that the Collabieae originated in Asia at the earliest Oligocene, and then independently spread to Africa, Central America, and Oceania since the Miocene via long-distance dispersal. These results based on empirical data and simulated data were similar. BAMM, GeoSSE and niche analyses inferred that the Asian lineages had higher net diversification and niche rates than those of Oceanian and African lineages on the empirical and simulated analyses. Precipitation is the most important factor for Collabieae, and the Asian lineage has experienced more stable and humid climate, which may promote the higher net diversification rate. Besides, the longer colonization time may also be associated with the Asian lineages' diversity. These findings provided a better understanding of the regional diversity heterogeneity in tropical terrestrial herbaceous floras.
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Affiliation(s)
- Peng Zhou
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi, China
| | - Ji-Hong Li
- Kadoorie Farm and Botanic Garden, Lam Kam Road, Tai Po, New Territories, Hong Kong, China
| | - Yi-Zhen Liu
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi, China
| | - Zi-Wei Zhu
- Jiangxi Academy of Forest, Nanchang, Jiangxi, China
| | - Yan Luo
- Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China.
| | - Xiao-Guo Xiang
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, Jiangxi, China.
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16
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Måsviken J, Dalén L, Norén K, Dalerum F. The relative importance of abiotic and biotic environmental conditions for taxonomic, phylogenetic, and functional diversity of spiders across spatial scales. Oecologia 2023; 202:261-273. [PMID: 37261510 PMCID: PMC10307692 DOI: 10.1007/s00442-023-05383-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 05/08/2023] [Indexed: 06/02/2023]
Abstract
Both abiotic and biotic conditions may be important for biodiversity. However, their relative importance may vary among different diversity dimensions as well as across spatial scales. Spiders (Araneae) offer an ecologically relevant system for evaluating variation in the relative strength abiotic and biotic biodiversity regulation. We quantified the relative importance of abiotic and biotic conditions for three diversity dimensions of spider communities quantified across two spatial scales. Spiders were surveyed along elevation gradients in northern Sweden. We focused our analysis on geomorphological and climatic conditions as well as vegetation characteristics, and quantified the relative importance of these conditions for the taxonomic, phylogenetic, and functional diversity of spider communities sampled across one intermediate (500 m) and one local (25 m) scale. There were stronger relationships among diversity dimensions at the local than the intermediate scale. There were also variation in the relative influence of abiotic and biotic conditions among diversity dimensions, but this variation was not consistent across spatial scales. Across both spatial scales, vegetation was related to all diversity dimensions whereas climate was important for phylogenetic and functional diversity. Our study does not fully support stronger abiotic regulation at coarser scales, and conversely stronger abiotic regulation at more local scales. Instead, our results indicate that community assembly is shaped by interactions between abiotic constrains in species distributions and biotic conditions, and that such interactions may be both scale and context dependent.
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Affiliation(s)
- Johannes Måsviken
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
| | - Love Dalén
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
| | - Karin Norén
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Fredrik Dalerum
- Department of Zoology, Stockholm University, Stockholm, Sweden.
- Biodiversity Research Institute (University of Oviedo-Principality of Asturias-CSIC), Spanish National Research Council, Research Building, Mieres Campus, 33600, Mieres, Spain.
- Department of Zoology and Entomology, Mammal Research Institute, University of Pretoria, Hatfield, South Africa.
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17
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Cai L, Kreft H, Taylor A, Denelle P, Schrader J, Essl F, van Kleunen M, Pergl J, Pyšek P, Stein A, Winter M, Barcelona JF, Fuentes N, Karger DN, Kartesz J, Kuprijanov A, Nishino M, Nickrent D, Nowak A, Patzelt A, Pelser PB, Singh P, Wieringa JJ, Weigelt P. Global models and predictions of plant diversity based on advanced machine learning techniques. THE NEW PHYTOLOGIST 2023; 237:1432-1445. [PMID: 36375492 DOI: 10.1111/nph.18533] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
Despite the paramount role of plant diversity for ecosystem functioning, biogeochemical cycles, and human welfare, knowledge of its global distribution is still incomplete, hampering basic research and biodiversity conservation. Here, we used machine learning (random forests, extreme gradient boosting, and neural networks) and conventional statistical methods (generalized linear models and generalized additive models) to test environment-related hypotheses of broad-scale vascular plant diversity gradients and to model and predict species richness and phylogenetic richness worldwide. To this end, we used 830 regional plant inventories including c. 300 000 species and predictors of past and present environmental conditions. Machine learning showed a superior performance, explaining up to 80.9% of species richness and 83.3% of phylogenetic richness, illustrating the great potential of such techniques for disentangling complex and interacting associations between the environment and plant diversity. Current climate and environmental heterogeneity emerged as the primary drivers, while past environmental conditions left only small but detectable imprints on plant diversity. Finally, we combined predictions from multiple modeling techniques (ensemble predictions) to reveal global patterns and centers of plant diversity at multiple resolutions down to 7774 km2 . Our predictive maps provide accurate estimates of global plant diversity available at grain sizes relevant for conservation and macroecology.
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Affiliation(s)
- Lirong Cai
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
| | - Holger Kreft
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, 37077, Göttingen, Germany
| | - Amanda Taylor
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
| | - Pierre Denelle
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
| | - Julian Schrader
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
- School of Natural Sciences, Macquarie University, 2109, Sydney, NSW, Australia
| | - Franz Essl
- Bioinvasions, Global Change, Macroecology-Group, University of Vienna, 1030, Vienna, Austria
| | - Mark van Kleunen
- Ecology, Department of Biology, University of Konstanz, 78464, Konstanz, Germany
- Zhejiang Provincial Key Laboratory of Plant Evolutionary Ecology and Conservation, Taizhou University, 318000, Taizhou, China
| | - Jan Pergl
- Department of Invasion Ecology, Czech Academy of Sciences, Institute of Botany, 25243, Průhonice, Czech Republic
| | - Petr Pyšek
- Department of Invasion Ecology, Czech Academy of Sciences, Institute of Botany, 25243, Průhonice, Czech Republic
- Department of Ecology, Faculty of Science, Charles University, 12844, Prague, Czech Republic
| | - Anke Stein
- Ecology, Department of Biology, University of Konstanz, 78464, Konstanz, Germany
| | - Marten Winter
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103, Leipzig, Germany
| | - Julie F Barcelona
- School of Biological Sciences, University of Canterbury, 8140, Christchurch, New Zealand
| | - Nicol Fuentes
- Departamento de Botánica, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, 4030000, Concepción, Chile
| | - Dirk Nikolaus Karger
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland
| | - John Kartesz
- Biota of North America Program (BONAP), Chapel Hill, NC, 27516, USA
| | | | - Misako Nishino
- Biota of North America Program (BONAP), Chapel Hill, NC, 27516, USA
| | - Daniel Nickrent
- Plant Biology Section, School of Integrative Plant Science, College of Agriculture and Life Science, Cornell University, Ithaca, NY, 14853, USA
| | - Arkadiusz Nowak
- Department of Botany and Nature Protection, University of Warmia and Mazury in Olsztyn, 10-728, Olsztyn, Poland
- PAS Botanical Garden, 02-973, Warszawa, Poland
| | - Annette Patzelt
- Hochschule Weihenstephan-Triesdorf, University of Applied Sciences, Vegetation Ecology, 85354, Freising, Germany
| | - Pieter B Pelser
- School of Biological Sciences, University of Canterbury, 8140, Christchurch, New Zealand
| | | | - Jan J Wieringa
- Naturalis Biodiversity Center, 2333 CR, Leiden, the Netherlands
| | - Patrick Weigelt
- Biodiversity, Macroecology and Biogeography, University of Göttingen, 37077, Göttingen, Germany
- Centre of Biodiversity and Sustainable Land Use, University of Göttingen, 37077, Göttingen, Germany
- Campus-Institut Data Science, 37077, Göttingen, Germany
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