101
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Li P, Zhang J, Ding S, Yan P, Zhang P, Ding S. Environmental Effects on Taxonomic Turnover in Soil Fauna across Multiple Forest Ecosystems in East Asia. INSECTS 2022; 13:1103. [PMID: 36555013 PMCID: PMC9786105 DOI: 10.3390/insects13121103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
The large-scale spatial variation in and causes of biotic turnover of soil fauna remain poorly understood. Analyses were conducted based on published data from 14 independent sampling sites across five forest ecosystems in East Asia. Jaccard and Sørensen's indices were used to measure turnover rates in soil fauna orders. A redundancy analysis was used to investigate multiple environmental controls of the composition of soil fauna communities. The results showed that both Jaccard's and Sørensen's index increased significantly with increasing latitude difference. The environment explained 54.1%, 50.6%, 57.3% and 50.9% of the total variance, and spatial factors explained 13.8%, 15.9%, 21.0% and 12.6% of the total variance in the orders' composition regarding overall, phytophagous, predatory and saprophagous fauna, respectively. In addition, climate factors in environmental processes were observed to have a stronger effect than soil factors on the orders' turnover rates. Our results support the hypothesis that the effect of environment factors on soil animal taxa turnover is more important than the effect of spatial factors. Climatic factors explained more variation in the turnover of phytophagic fauna, but soil and environment factors equally explained the variation in the turnover of predatory fauna. This study provides evidence to support both environmental filtering and dispersal limitation hypotheses at the regional and population scales.
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Affiliation(s)
- Peikun Li
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Jian Zhang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Shunping Ding
- Plant Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA
| | - Peisen Yan
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Panpan Zhang
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Shengyan Ding
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
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102
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Strampelli P, Campbell LAD, Henschel P, Nicholson SK, Macdonald DW, Dickman AJ. Trends and biases in African large carnivore population assessments: identifying priorities and opportunities from a systematic review of two decades of research. PeerJ 2022; 10:e14354. [PMID: 36452072 PMCID: PMC9703985 DOI: 10.7717/peerj.14354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 10/17/2022] [Indexed: 11/27/2022] Open
Abstract
African large carnivores have undergone significant range and population declines over recent decades. Although conservation planning and the management of threatened species requires accurate assessments of population status and monitoring of trends, there is evidence that biodiversity monitoring may not be evenly distributed or occurring where most needed. Here, we provide the first systematic review of African large carnivore population assessments published over the last two decades (2000-2020), to investigate trends in research effort and identify knowledge gaps. We used generalised linear models (GLMs) and generalised linear mixed models (GLMMs) to identify taxonomic and geographical biases, and investigated biases associated with land use type and author nationality. Research effort was significantly biased towards lion (Panthera leo) and against striped hyaena (Hyaena hyaena), despite the latter being the species with the widest continental range. African wild dog (Lycaon pictus) also exhibited a negative bias in research attention, although this was partly explained by its relatively restricted distribution. The number of country assessments for a species was significantly positively associated with its geographic range in that country. Population assessments were biased towards southern and eastern Africa, particularly South Africa and Kenya. Northern, western, and central Africa were generally under-represented. Most studies were carried out in photographic tourism protected areas under government management, while non-protected and trophy hunting areas received less attention. Outside South Africa, almost half of studies (41%) did not include authors from the study country, suggesting that significant opportunities exist for capacity building in range states. Overall, large parts of Africa remain under-represented in the literature, and opportunities exist for further research on most species and in most countries. We develop recommendations for actions aimed at overcoming the identified biases and provide researchers, practitioners, and policymakers with priorities to help inform future research and monitoring agendas.
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Affiliation(s)
- Paolo Strampelli
- Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Liz AD Campbell
- Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, Oxford, United Kingdom
| | | | - Samantha K. Nicholson
- Endangered Wildlife Trust, Johannesburg, South Africa,The University of KwaZulu-Natal, Durban, South Africa
| | - David W. Macdonald
- Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, Oxford, United Kingdom
| | - Amy J. Dickman
- Wildlife Conservation Research Unit (WildCRU), Department of Zoology, University of Oxford, Oxford, United Kingdom
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103
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Spatial non-stationarity in the distribution of fish species richness of tropical streams. COMMUNITY ECOL 2022. [DOI: 10.1007/s42974-022-00121-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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104
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Martins LP, Stouffer DB, Blendinger PG, Böhning-Gaese K, Buitrón-Jurado G, Correia M, Costa JM, Dehling DM, Donatti CI, Emer C, Galetti M, Heleno R, Jordano P, Menezes Í, Morante-Filho JC, Muñoz MC, Neuschulz EL, Pizo MA, Quitián M, Ruggera RA, Saavedra F, Santillán V, Sanz D'Angelo V, Schleuning M, da Silva LP, Ribeiro da Silva F, Timóteo S, Traveset A, Vollstädt MGR, Tylianakis JM. Global and regional ecological boundaries explain abrupt spatial discontinuities in avian frugivory interactions. Nat Commun 2022; 13:6943. [PMID: 36376314 PMCID: PMC9663448 DOI: 10.1038/s41467-022-34355-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 10/20/2022] [Indexed: 11/16/2022] Open
Abstract
Species interactions can propagate disturbances across space via direct and indirect effects, potentially connecting species at a global scale. However, ecological and biogeographic boundaries may mitigate this spread by demarcating the limits of ecological networks. We tested whether large-scale ecological boundaries (ecoregions and biomes) and human disturbance gradients increase dissimilarity among plant-frugivore networks, while accounting for background spatial and elevational gradients and differences in network sampling. We assessed network dissimilarity patterns over a broad spatial scale, using 196 quantitative avian frugivory networks (encompassing 1496 plant and 1004 bird species) distributed across 67 ecoregions, 11 biomes, and 6 continents. We show that dissimilarities in species and interaction composition, but not network structure, are greater across ecoregion and biome boundaries and along different levels of human disturbance. Our findings indicate that biogeographic boundaries delineate the world's biodiversity of interactions and likely contribute to mitigating the propagation of disturbances at large spatial scales.
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Affiliation(s)
- Lucas P Martins
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private bag 4800, Christchurch, 8140, Aotearoa New Zealand.
| | - Daniel B Stouffer
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private bag 4800, Christchurch, 8140, Aotearoa New Zealand
| | - Pedro G Blendinger
- Instituto de Ecología Regional, Universidad Nacional de Tucumán and CONICET; CC 34, 4107, Tucumán, Argentina
- Facultad de Ciencias Naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán, Miguel Lillo 2005, 4000, Tucumán, Argentina
| | - Katrin Böhning-Gaese
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University Frankfurt, Max-von-Laue-Straße 13, Frankfurt am Main, 60439, Germany
| | - Galo Buitrón-Jurado
- Laboratorio de Biología de Organismos, Centro de Ecología, Instituto Venezolano de Investigaciones Científicas (IVIC), Carretera Panamericana, km 11, Altos de Pipe, Edo, Miranda, Venezuela
- Universidad Estatal Amazónica-Sede Zamora Chinchipe; Calle Luis Imaicela entre Azuay y Rene Ulloa, El Pangui, Zamora Chinchipe, Ecuador
| | - Marta Correia
- Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - José Miguel Costa
- Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - D Matthias Dehling
- Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903, Birmensdorf, Switzerland
- Securing Antarctica's Environmental Future, School of Biological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Camila I Donatti
- Conservation International, 2011 Crystal Dr. Suite 600, Arlington, VA, 22202, USA
- Department of Biological Sciences, Northern Arizona University, 617S. Beaver St., Flagstaff, AZ, 86011-5640, USA
| | - Carine Emer
- Rio de Janeiro Botanical Garden Research Institute, Rua Pacheco Leão 915, Jardim Botânico, Rio de Janeiro, RJ, CEP 22460-030, Brazil
- Department of Biodiversity, São Paulo State University - UNESP, Rio Claro, SP, Brazil
| | - Mauro Galetti
- Department of Biodiversity, São Paulo State University - UNESP, Rio Claro, SP, Brazil
| | - Ruben Heleno
- Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - Pedro Jordano
- Estación Biológica de Doñana, CSIC, av. Americo Vespucio 26, 41092, Sevilla, Spain
- Departamento de Biología Vegetal y Ecología, Universidad de Sevilla, Sevilla, Spain
| | - Ícaro Menezes
- Applied Conservation Ecology Lab, Santa Cruz State University, Rodovia Ilhéus- Itabuna, km 16, Salobrinho, Ilhéus, Bahia, 45662-000, Brazil
| | - José Carlos Morante-Filho
- Applied Conservation Ecology Lab, Santa Cruz State University, Rodovia Ilhéus- Itabuna, km 16, Salobrinho, Ilhéus, Bahia, 45662-000, Brazil
| | - Marcia C Muñoz
- Programa de Biología, Universidad de La Salle, Carrera 2 # 10-70, Bogotá, Colombia
| | - Eike Lena Neuschulz
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Marco Aurélio Pizo
- Department of Biodiversity, São Paulo State University - UNESP, Rio Claro, SP, Brazil
| | - Marta Quitián
- Systematic Zoology Laboratory, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji-shi, Tokyo, 192-0397, Japan
- Instituto Mediterráneo de Estudios Avanzados (CSIC-UIB), Miquel Marqués 21, Mallorca, Balearic Islands, 07190, Esporles, Spain
| | - Roman A Ruggera
- Instituto de Ecorregiones Andinas (Consejo Nacional de Investigaciones Científicas y Técnicas - Universidad Nacional de Jujuy), Canónigo Gorriti 237, Y4600 San Salvador de Jujuy, Jujuy, Argentina
| | - Francisco Saavedra
- Instituto de Ecología, Facultad de Ciencias Puras y Naturales, Universidad Mayor de San Andrés, La Paz, Bolivia
| | - Vinicio Santillán
- Centro de Investigación, Innovación y Transferencia de Tecnología (CIITT), Unidad Académica de Posgrado, Universidad Católica de Cuenca, Av. de las Américas, Cuenca, Ecuador
| | - Virginia Sanz D'Angelo
- Laboratorio de Biología de Organismos, Centro de Ecología, Instituto Venezolano de Investigaciones Científicas (IVIC), Carretera Panamericana, km 11, Altos de Pipe, Edo, Miranda, Venezuela
| | - Matthias Schleuning
- Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325, Frankfurt am Main, Germany
| | - Luís Pascoal da Silva
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Fernanda Ribeiro da Silva
- Laboratory of Human Ecology and Ethnobotany, Department of Ecology and Zoology, Federal University of Santa Catarina, UFSC, Campus Trindade, s/n, Florianópolis, SC, 88010-970, Brazil
| | - Sérgio Timóteo
- Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - Anna Traveset
- Instituto Mediterráneo de Estudios Avanzados (CSIC-UIB), Miquel Marqués 21, Mallorca, Balearic Islands, 07190, Esporles, Spain
| | - Maximilian G R Vollstädt
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Oester Voldgade 5-7, 1350, Copenhagen K, Denmark
| | - Jason M Tylianakis
- Centre for Integrative Ecology, School of Biological Sciences, University of Canterbury, Private bag 4800, Christchurch, 8140, Aotearoa New Zealand.
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105
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Spatial Heterogeneity of Soil Bacterial Community Structure and Enzyme Activity along an Altitude Gradient in the Fanjingshan Area, Northeastern Guizhou Province, China. LIFE (BASEL, SWITZERLAND) 2022; 12:life12111862. [PMID: 36430998 PMCID: PMC9698955 DOI: 10.3390/life12111862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022]
Abstract
Changes in altitude can cause regional microclimate changes, leading to the spatial heterogeneity of environmental factors and soil bacteria. However, the internal driving process and mechanism remain unclear. Here, we selected Fanjingshan, a typical nature reserve in the subtropical region of south China with a clear altitudinal belt, to reveal the response mechanisms of microbial populations with altitude changes. We examined the physiochemical and biological properties (pH and soil enzyme activities) of 0~10 cm soil layers, soil bacterial diversity, and community structure across the 2.1 km belt (consisting of six altitude ranges). Our results showed that soil pH was highest at the altitude range below 900 m and decreased with altitude thereafter. Soil enzyme activities showed an overall decreasing trend with altitude rising. The soil sucrase and catalase activity was highest (48.35 mg.g-1.d-1 and 23.75 µmol.g-1, respectively) at altitudes below 900 m; the soil urease activity was highest (704.24 µg.g-1.d-1) at 900~1200 m; and the soil acid phosphatase activity was highest (57.18 µmol.g-1) at 1200~1500 m. In addition, the soil bacterial community diversity showed a linear increasing trend, with the maximum abundance at 1500~1800 m. Soil pH was correlated with enzyme activity and bacterial community composition and structure, and the correlation was the strongest between pH and the distribution of bacterial diversity at altitudes below 900 m. Overall, soil enzyme activities and soil bacterial diversity showed spatial heterogeneity along the altitude gradient, and their community structure and composition were affected by altitude as a result of changes in soil physicochemical factors. This study provides a better and deeper understanding of the spatial succession of soil in the Fanjingshan area and the distribution pattern of soil microorganisms in central subtropical mountain ecosystems.
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106
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Yuan H, Zhang W, Yin H, Zhang R, Wang J. Taxonomic dependency of beta diversity for bacteria, archaea, and fungi in a semi-arid lake. Front Microbiol 2022; 13:998496. [PMID: 36406397 PMCID: PMC9670189 DOI: 10.3389/fmicb.2022.998496] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/03/2022] [Indexed: 10/28/2023] Open
Abstract
Microbial beta diversity has been recently studied along the water depth in aquatic ecosystems, however its turnover and nestedness components remain elusive especially for multiple taxonomic groups. Based on the beta diversity partitioning developed by Baselga and Local Contributions to Beta Diversity (LCBD) partitioning by Legendre, we examined the water-depth variations in beta diversity components of bacteria, archaea and fungi in surface sediments of Hulun Lake, a semi-arid lake in northern China, and further explored the relative importance of environmental drivers underlying their patterns. We found that the relative abundances of Proteobacteria, Chloroflexi, Euryarchaeota, and Rozellomycota increased toward deep water, while Acidobacteria, Parvarchaeota, and Chytridiomycota decreased. For bacteria and archaea, there were significant (p < 0.05) decreasing water-depth patterns for LCBD and LCBDRepl (i.e., species replacement), while increasing patterns for total beta diversity and turnover, implying that total beta diversity and LCBD were dominated by species turnover or LCBDRepl. Further, bacteria showed a strong correlation with archaea regarding LCBD, total beta diversity and turnover. Such parallel patterns among bacteria and archaea were underpinned by similar ecological processes like environmental selection. Total beta diversity and turnover were largely affected by sediment total nitrogen, while LCBD and LCBDRepl were mainly constrained by water NO2 --N and NO3 --N. For fungal community variation, no significant patterns were observed, which may be due to different drivers like water nitrogen or phosphorus. Taken together, our findings provide compelling evidences for disentangling the underlying mechanisms of community variation in multiple aquatic microbial taxonomic groups.
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Affiliation(s)
- Haijun Yuan
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
| | - Weizhen Zhang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Huaqun Yin
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
- Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha, China
| | - Runyu Zhang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China
| | - Jianjun Wang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
- University of Chinese Academy of Sciences, Beijing, China
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107
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Yang X, Li Y, Niu B, Chen Q, Hu Y, Yang Y, Song L, Wang J, Zhang G. Temperature and Precipitation Drive Elevational Patterns of Microbial Beta Diversity in Alpine Grasslands. MICROBIAL ECOLOGY 2022; 84:1141-1153. [PMID: 34694450 DOI: 10.1007/s00248-021-01901-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 10/11/2021] [Indexed: 06/13/2023]
Abstract
Understanding the mechanisms underlying biodiversity patterns is a central issue in ecology, while how temperature and precipitation jointly control the elevational patterns of microbes is understudied. Here, we studied the effects of temperature, precipitation and their interactions on the alpha and beta diversity of soil archaea and bacteria in alpine grasslands along an elevational gradient of 4300-5200 m on the Tibetan Plateau. Alpha diversity was examined on the basis of species richness and evenness, and beta diversity was quantified with the recently developed metric of local contributions to beta diversity (LCBD). Typical alpine steppe and meadow ecosystems were distributed below and above 4850 m, respectively, which was consistent with the two main constraints of mean annual temperature (MAT) and mean annual precipitation (MAP). Species richness and evenness showed decreasing elevational patterns in archaea and nonsignificant or U-shaped patterns in bacteria. The LCBD of both groups exhibited significant U-shaped elevational patterns, with the lowest values occurring at 4800 m. For the three diversity metrics, soil pH was the primary explanatory variable in archaea, explaining over 20.1% of the observed variation, whereas vegetation richness, total nitrogen and the K/Al ratio presented the strongest effects on bacteria, with relative importance values of 16.1%, 12.5% and 11.6%, respectively. For the microbial community composition of both archaea and bacteria, the moisture index showed the dominant effect, explaining 17.6% of the observed variation, followed by MAT and MAP. Taken together, temperature and precipitation exerted considerable indirect effects on microbial richness and evenness through local environmental and energy supply-related variables, such as vegetation richness, whereas temperature exerted a larger direct influence on LCBD and the community composition. Our findings highlighted the profound influence of temperature and precipitation interactions on microbial beta diversity in alpine grasslands on the Tibetan Plateau.
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Affiliation(s)
- Xiaoqin Yang
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yue Li
- China University of Geosciences, Beijing, 100083, China
| | - Bin Niu
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qiuyu Chen
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of Alpine Ecology, CAS Center for Excellence in Tibetan Plateau Earth Sciences and Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yilun Hu
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of Alpine Ecology, CAS Center for Excellence in Tibetan Plateau Earth Sciences and Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yibo Yang
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Lili Song
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jianjun Wang
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
| | - Gengxin Zhang
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.
- Key Laboratory of Alpine Ecology, CAS Center for Excellence in Tibetan Plateau Earth Sciences and Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.
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108
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Rocher L, Blaya R, Blaise C, Bischoff A, Blight O. Species And Functional Responses Of Ants To Inter-Row Tillage And Vegetation In Organic Mediterranean Vineyards. Basic Appl Ecol 2022. [DOI: 10.1016/j.baae.2022.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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109
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Gavioli A, Milardi M, Soininen J, Soana E, Lanzoni M, Castaldelli G. How does invasion degree shape alpha and beta diversity of freshwater fish at a regional scale? Ecol Evol 2022; 12:e9493. [PMID: 36381403 PMCID: PMC9643121 DOI: 10.1002/ece3.9493] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 10/17/2022] [Accepted: 10/19/2022] [Indexed: 11/11/2022] Open
Abstract
Freshwater ecosystems appear more vulnerable to biodiversity loss due to several anthropogenic disturbances and freshwater fish are particularly vulnerable to these impacts. We aimed to (1) identify the contribution of land use, spatial variables, and invasion degree in determining freshwater fish alpha (i.e., species richness) and beta (i.e., local contributions to beta diversity, LCBD) diversity, evaluating also the relationship between invasion degree and nestedness (β nes) and turnover (β sim) components of beta diversity. (2) Investigate the relationship between alpha diversity and LCBD, under the hypothesis that alpha diversity and LCBD correlate negatively and (3) investigate the relationship between species contributions to beta diversity (SCBD) and species occurrence, hypothesizing that non-native species show a lower contribution to beta diversity. The linear mixed models and the partition of R 2 retained the invasion degree as the most important variables explaining alpha and beta diversity, having a positive relationship with both diversity components. Furthermore, land use related to human impacts had a positive influence on alpha diversity, whereas it showed a negative effect on LCBD. Regression model further showed that invasion degree related positively withβ sim, but negatively withβ nes, suggesting that non-native species were involved in the replacement of native species in the fish community. Alpha diversity and LCBD showed a weak positive correlation, meaning that sites with low species richness have higher LCBD. SCBD scaled positively with species occurrence highlighting that rarer species contribute less to SCBD. Finally, native and exotic species contributed similarly to beta diversity. These results suggest that invasion degree plays a central role in shaping alpha and beta diversity in stream fish, more than land use features reflecting habitat alteration or other geospatial variables. Furthermore, it is important to evaluate separately the native and the non-native components of biotic communities to identify linkages between invasion dynamics and biodiversity loss.
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Affiliation(s)
- Anna Gavioli
- Department of Environmental and Prevention SciencesUniversity of FerraraFerraraItaly
| | - Marco Milardi
- Fisheries New Zealand ‐ Tini a Tangaroa, Ministry for Primary Industries ‐ Manatū Ahu MatuaWellingtonNew Zealand
- Present address:
Southern Indian Ocean Fisheries Agreement (SIOFA)Saint‐Denis Cedex LaRéunion
| | - Janne Soininen
- Department of Geosciences and GeographyUniversity of HelsinkiHelsinkiFinland
| | - Elisa Soana
- Department of Environmental and Prevention SciencesUniversity of FerraraFerraraItaly
| | - Mattia Lanzoni
- Department of Environmental and Prevention SciencesUniversity of FerraraFerraraItaly
| | - Giuseppe Castaldelli
- Department of Environmental and Prevention SciencesUniversity of FerraraFerraraItaly
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110
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Li J, Chen L, Wang H, Ouyang S, Liu X, Lu J. Pattern and drivers of soil fungal community along elevation gradient in the Abies georgei forests of Segila mountains, Southeast Tibet. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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111
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Zhao Z, Hui G, Yang A, Zhang G, Hu Y. Assessing tree species diversity in forest ecosystems: A new approach. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.971585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The significance of biodiversity research is to understand the structure and function of the community, and then to protect and monitor the community. The metric of biodiversity is the base of biodiversity conservation. Species richness and evenness are the most common descriptors of biodiversity. Whether it is diversity information measure, probability measure or geometric measure, they all express the combination of species richness and evenness in different ways. This study presents a new biologically meaningful measure of species diversity, which evaluates species richness and evenness independently, designated as DRE. The novelty of our method is to use “absolute discrepancy” to express the dissimilarity between the observed community and the uniform distribution community with the same species composition and same abundance of each species, and then measure the species evenness. The logarithmic transformation of the species number is used to measure species richness with values ranging between 0 and 1. We test the performance of this measure using simulated data and observations of natural and planted forests in different climatic zones. The results showed that the new diversity index (DRE) has superior statistical qualities compared with the traditional indices. Especially, in extremely uneven communities, the new measure describes the causes of diversity changes than the traditional DRE. In addition, DRE is more sensitive to the abundance changes of rare species in the simulated community, and the interpretation of the results is more intuitive and meaningful. It is an improved method to evaluate the species diversity of any ecosystem.
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Abstract
One of the most investigated patterns in species diversity is the so-called latitudinal gradient, that is, a decrease in species richness from the equator to the poles. However, few studies investigated this pattern in insects at a global scale because of insufficient taxonomic and biogeographical information. Using estimates of earwig species richness at country level, their latitudinal diversity gradient was modelled globally and for the two hemispheres separately after correcting for differences in country areas. Separate analyses were also conducted for mainland and island countries. All analyses clearly indicated the existence of latitudinal gradients. The most plausible explanation for the observed pattern is the so-called tropical conservatism hypothesis, which postulates (1) a tropical origin of many extant clades, (2) a longer time for cladogenesis in tropical environments thanks to their environmental stability, and (3) a limited ability of historically tropical lineages to adapt to temperate climates. Earwigs probably evolved on Gondwana and secondarily colonized the Northern Hemisphere. This colonization was hampered by both geographical and climatic factors. The Himalayan orogenesis obstructed earwig dispersal into the Palearctic region. Additionally, earwig preferences for warm/hot and humid climates hampered the colonization of temperate regions. Pleistocene glaciation further contributed to reducing diversity at northern latitudes.
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113
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Zheng P, Jiang X, Shu F, Li Z, Zhang S, Alahuhta J, Heino J. Loss of lateral hydrological connectivity impacts multiple facets of molluscan biodiversity in floodplain lakes. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 320:115885. [PMID: 36056492 DOI: 10.1016/j.jenvman.2022.115885] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
Lateral hydrological connectivity (LHC) is a key process in maintaining aquatic biodiversity in river floodplain ecosystems. However, the effects of LHC loss on aquatic biodiversity are rarely studied. Here, we evaluated, for the first time, the responses of multiple facets (i.e., taxonomic, functional and phylogenetic) of alpha and beta diversity of freshwater molluscs to the LHC loss in 23 floodplain lakes in the Yangtze River Basin in China. Our results showed that taxonomic and functional alpha diversities were all significantly higher in connected lakes (CLs) than in disconnected lakes (DLs), whereas phylogenetic alpha diversity (Δ+) was lower in CLs than in DLs. For beta diversity facets, taxonomic (Tβsor) and phylogenetic (Pβsor) dissimilarities were slightly more contributed by the turnover component or equally contributed by the turnover and nestedness-resultant components both in CLs and DLs. Instead, functional beta diversity (Fβsor), generally showing much lower values than Tβsor and Pβsor, was mainly contributed by the nestedness-resultant component (76.6-84.0%), especially in DLs. We found that only functional dissimilarities were significantly higher in DLs than CLs, indicating a high level of functional diversity loss without replacement of species possessing traits sensitive to hydrological disconnection (i.e., large body size, lamellibranch body form, filter feeding, ovoviviparity and burrowing habits). In general, lake area, hydrological connectivity, aquatic vegetation coverage and nutrient levels (TN and TP) played important roles in structuring variation in molluscan alpha and beta diversities, although the three diversity facets responded to different environmental factors. Our results suggest that loss of connectivity to the mainstem river has negative impacts on molluscan assemblages in floodplain lakes. More importantly, as taxonomic, functional and phylogenetic diversities responded somewhat differently to the loss of hydrological connectivity, all of these biodiversity facets should be better incorporated into aquatic biodiversity assessment and conservation programs in large river floodplains.
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Affiliation(s)
- Peng Zheng
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Xiaoming Jiang
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China.
| | - Fengyue Shu
- Provincial Key Laboratory of Wetland Ecology and Environment Conservation of Lake Nansihu, Qufu Normal University, Qufu, 273165, China
| | - Zhengfei Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Sijing Zhang
- State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China
| | - Janne Alahuhta
- Geography Research Unit, University of Oulu, P. O. Box 8000, FI-90014, Oulu, Finland
| | - Jani Heino
- Freshwater Center, Finnish Environment Institute, Paavo Havaksen Tie 3, Oulu, FI-90014, Finland
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114
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Verniest F, Galewski T, Julliard R, Guelmami A, Le Viol I. Coupling future climate and land‐use projections reveals where to strengthen the protection of Mediterranean Key Biodiversity Areas. CONSERVATION SCIENCE AND PRACTICE 2022. [DOI: 10.1111/csp2.12807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Fabien Verniest
- Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université Centre d'Ecologie et des Sciences de la Conservation (CESCO) Paris France
- Institut de recherche pour la conservation des zones humides méditerranéennes Tour du Valat, le Sambuc Arles France
| | - Thomas Galewski
- Institut de recherche pour la conservation des zones humides méditerranéennes Tour du Valat, le Sambuc Arles France
| | - Romain Julliard
- Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université Centre d'Ecologie et des Sciences de la Conservation (CESCO) Paris France
| | - Anis Guelmami
- Institut de recherche pour la conservation des zones humides méditerranéennes Tour du Valat, le Sambuc Arles France
| | - Isabelle Le Viol
- Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université Centre d'Ecologie et des Sciences de la Conservation (CESCO) Paris France
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115
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Frishkoff LO, Lertzman-Lepofsky G, Mahler DL. Evolutionary opportunity and the limits of community similarity in replicate radiations of island lizards. Ecol Lett 2022; 25:2384-2396. [PMID: 36192673 DOI: 10.1111/ele.14098] [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: 02/09/2022] [Accepted: 08/01/2022] [Indexed: 11/30/2022]
Abstract
Ecological community structure ultimately depends on the production of community members by speciation. To understand how macroevolution shapes communities, we surveyed Anolis lizard assemblages across elevations on Jamaica and Hispaniola, neighbouring Caribbean islands similar in environment, but contrasting in the richness of their endemic evolutionary radiations. The impact of diversification on local communities depends on available spatial opportunities for speciation within or between ecologically distinct sub-regions. In the spatially expansive lowlands of both islands, communities converge in species richness and average morphology. But communities diverge in the highlands. On Jamaica, where limited highland area restricted diversification, communities remain depauperate and consist largely of elevational generalists. In contrast, a unique fauna of high-elevation specialists evolved in the vast Hispaniolan highlands, augmenting highland richness and driving islandwide turnover in community composition. Accounting for disparate evolutionary opportunities may illuminate when regional diversity will enhance local diversity and help predict when communities should converge in structure.
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116
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Wu N, Liu G, Zhang M, Wang Y, Peng W, Qu X. Spatial Factors Outperform Local Environmental and Geo-Climatic Variables in Structuring Multiple Facets of Stream Macroinvertebrates' β-Diversity. Animals (Basel) 2022; 12:ani12192648. [PMID: 36230389 PMCID: PMC9558512 DOI: 10.3390/ani12192648] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 11/09/2022] Open
Abstract
Simple Summary One of the key targets of community ecology and biogeography concerns revealing the variability and underlying drivers of biodiversity. Most current studies understand biodiversity based on taxonomic information alone. Our study was based on macroinvertebrates from 179 stream sampling sites in the Hun-Tai River Basin in Northeastern China. The correlation of different facets of β-diversity was compared while revealing the relative contribution of multiple abiotic factors (i.e., local environmental, geo-climatic, and spatial factors) to shaping β-diversity based on taxonomic, functional, and phylogenetic information. The results showed that functional β-diversity provides important complementary information to taxonomic and phylogenetic β-diversity. Moreover, spatial factors outperform local environmental and geo-climatic variables in structuring multiple facets of stream macroinvertebrates’ β-diversity. Our study provides guidance for future conservation studies of watershed biodiversity, as well as implications for future studies of β-diversity. Abstract One of the key targets of community ecology and biogeography concerns revealing the variability and underlying drivers of biodiversity. Most current studies understand biodiversity based on taxonomic information alone, but few studies have shown the relative contributions of multiple abiotic factors in shaping biodiversity based on taxonomic, functional, and phylogenetic information. We collected 179 samples of macroinvertebrates in the Hun-Tai River Basin. We validated the complementarity between the three facets and components of β-diversity using the Mantel test. Distance-based redundancy analysis and variance partitioning were applied to explore the comparative importance of local environmental, geo-climatic, and spatial factors on each facet and component of β-diversity. Our study found that taxonomic and phylogenetic total β-diversity was mainly forced by turnover, while functional total β-diversity was largely contributed by nestedness. There is a strong correlation between taxonomic and phylogenetic β-diversity. However, the correlations of functional with both taxonomic and phylogenetic β-diversity were relatively weak. The findings of variation partitioning suggested that distinct facets and components of macroinvertebrates’ β-diversity were impacted by abiotic factors to varying degrees. The contribution of spatial factors was greater than that of the local environment and geo-climatic factors for taxonomic, functional, and phylogenetic β-diversity. Thus, studying different facets and components of β-diversity allows a clearer comprehension of the influence of abiotic factors on diversity patterns. Therefore, future research should investigate patterns and mechanisms of β-diversity from taxonomic, functional, and phylogenetic perspectives.
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Affiliation(s)
- Naicheng Wu
- Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China or
| | - Guohao Liu
- Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China or
| | - Min Zhang
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Yixia Wang
- Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China or
| | - Wenqi Peng
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
| | - Xiaodong Qu
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Department of Water Ecology and Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
- Correspondence:
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117
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Liang J, Gamarra JGP, Picard N, Zhou M, Pijanowski B, Jacobs DF, Reich PB, Crowther TW, Nabuurs GJ, de-Miguel S, Fang J, Woodall CW, Svenning JC, Jucker T, Bastin JF, Wiser SK, Slik F, Hérault B, Alberti G, Keppel G, Hengeveld GM, Ibisch PL, Silva CA, Ter Steege H, Peri PL, Coomes DA, Searle EB, von Gadow K, Jaroszewicz B, Abbasi AO, Abegg M, Yao YCA, Aguirre-Gutiérrez J, Zambrano AMA, Altman J, Alvarez-Dávila E, Álvarez-González JG, Alves LF, Amani BHK, Amani CA, Ammer C, Ilondea BA, Antón-Fernández C, Avitabile V, Aymard GA, Azihou AF, Baard JA, Baker TR, Balazy R, Bastian ML, Batumike R, Bauters M, Beeckman H, Benu NMH, Bitariho R, Boeckx P, Bogaert J, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Briseno-Reyes J, Broadbent EN, Bruelheide H, Bulte E, Catlin AC, Cazzolla Gatti R, César RG, Chen HYH, Chisholm C, Cienciala E, Colletta GD, Corral-Rivas JJ, Cuchietti A, Cuni-Sanchez A, Dar JA, Dayanandan S, de Haulleville T, Decuyper M, Delabye S, Derroire G, DeVries B, Diisi J, Do TV, Dolezal J, Dourdain A, Durrheim GP, Obiang NLE, Ewango CEN, Eyre TJ, Fayle TM, Feunang LFN, Finér L, Fischer M, Fridman J, Frizzera L, de Gasper AL, Gianelle D, Glick HB, Gonzalez-Elizondo MS, Gorenstein L, Habonayo R, Hardy OJ, Harris DJ, Hector A, Hemp A, Herold M, Hillers A, Hubau W, Ibanez T, Imai N, Imani G, Jagodzinski AM, Janecek S, Johannsen VK, Joly CA, Jumbam B, Kabelong BLPR, Kahsay GA, Karminov V, Kartawinata K, Kassi JN, Kearsley E, Kennard DK, Kepfer-Rojas S, Khan ML, Kigomo JN, Kim HS, Klauberg C, Klomberg Y, Korjus H, Kothandaraman S, Kraxner F, Kumar A, Kuswandi R, Lang M, Lawes MJ, Leite RV, Lentner G, Lewis SL, Libalah MB, Lisingo J, López-Serrano PM, Lu H, Lukina NV, Lykke AM, Maicher V, Maitner BS, Marcon E, Marshall AR, Martin EH, Martynenko O, Mbayu FM, Mbuvi MTE, Meave JA, Merow C, Miscicki S, Moreno VS, Morera A, Mukul SA, Müller JC, Murdjoko A, Nava-Miranda MG, Ndive LE, Neldner VJ, Nevenic RV, Nforbelie LN, Ngoh ML, N'Guessan AE, Ngugi MR, Ngute ASK, Njila ENN, Nyako MC, Ochuodho TO, Oleksyn J, Paquette A, Parfenova EI, Park M, Parren M, Parthasarathy N, Pfautsch S, Phillips OL, Piedade MTF, Piotto D, Pollastrini M, Poorter L, Poulsen JR, Poulsen AD, Pretzsch H, Rodeghiero M, Rolim SG, Rovero F, Rutishauser E, Sagheb-Talebi K, Saikia P, Sainge MN, Salas-Eljatib C, Salis A, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Šebeň V, Sellan G, Selvi F, Serra-Diaz JM, Sheil D, Shvidenko AZ, Sist P, Souza AF, Stereńczak KJ, Sullivan MJP, Sundarapandian S, Svoboda M, Swaine MD, Targhetta N, Tchebakova N, Trethowan LA, Tropek R, Mukendi JT, Umunay PM, Usoltsev VA, Vaglio Laurin G, Valentini R, Valladares F, van der Plas F, Vega-Nieva DJ, Verbeeck H, Viana H, Vibrans AC, Vieira SA, Vleminckx J, Waite CE, Wang HF, Wasingya EK, Wekesa C, Westerlund B, Wittmann F, Wortel V, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhu J, Zhu X, Zhu ZX, Zo-Bi IC, Hui C. Co-limitation towards lower latitudes shapes global forest diversity gradients. Nat Ecol Evol 2022; 6:1423-1437. [PMID: 35941205 DOI: 10.1038/s41559-022-01831-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 06/15/2022] [Indexed: 11/09/2022]
Abstract
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers.
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Affiliation(s)
- Jingjing Liang
- Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA.
| | - Javier G P Gamarra
- Forestry Division, Food and Agriculture Organization of the United Nations, Rome, Italy
| | | | - Mo Zhou
- Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Bryan Pijanowski
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Douglass F Jacobs
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Peter B Reich
- Institute for Global Change Biology, School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA
- Department of Forest Resources, University of Minnesota, St. Paul, MN, USA
- Hawkesbury Institute for the Environment, Western Sydney University, Penrith, New South Wales, Australia
| | - Thomas W Crowther
- Crowther Lab, Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Gert-Jan Nabuurs
- Wageningen Environmental Research, Wageningen University and Research, Wageningen, Netherlands
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
| | - Sergio de-Miguel
- Department of Crop and Forest Sciences, University of Lleida, Lleida, Spain
- Joint Research Unit CTFC-Agrotecnio-CERCA, Solsona, Spain
| | - Jingyun Fang
- Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Evironmental Sciences, Peking University, Beijing, China
| | | | - Jens-Christian Svenning
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, Aarhus C, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus C, Denmark
| | - Tommaso Jucker
- School of Biological Sciences, University of Bristol, Bristol, UK
| | - Jean-Francois Bastin
- TERRA Teaching and Research Centre, Gembloux Agro Bio-Tech, University of Liege, Gembloux, Belgium
| | - Susan K Wiser
- Manaaki Whenua Landcare Research, Lincoln, New Zealand
| | - Ferry Slik
- Environmental and Life Sciences, Faculty of Science, Universiti Brunei Darussalam, Gadong, Brunei Darussalam
| | - Bruno Hérault
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Montpellier, France
- INP-HB (Institut National Polytechnique Félix Houphouet-Boigny), University of Montpellier, Yamoussoukro, Ivory Coast
| | - Giorgio Alberti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
- Faculty of Science and Technology, Free University of Bolzano, Bolzano, Italy
- Institute of Bioeconomy, CNR, Sesto, Italy
| | - Gunnar Keppel
- Natural and Built Environments Research Centre, School of Natural and Built Environments, University of South Australia, Adelaide, South Australia, Australia
| | - Geerten M Hengeveld
- Biometris, Wageningen University and Research, Wageningen, Netherlands
- Wageningen University & Research, Forest and Nature Conservation Policy Group, Wageningen, Netherlands
| | - Pierre L Ibisch
- Centre for Econics and Ecosystem Management, Eberswalde University for Sustainable Development, Eberswalde, Germany
| | - Carlos A Silva
- School of Forest, Fisheries, and Geomatics Sciences, Institute of Food & Agricultural Sciences, University of Florida, Gainesville, FL, USA
| | | | - Pablo L Peri
- Instituto Nacional de Tecnología Agropecuaria (INTA), Santa Cruz, Argentina
| | - David A Coomes
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Eric B Searle
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Klaus von Gadow
- University of Göttingen, Göttingen, Germany
- Beijing Forestry University, Beijing, China
- University of Stellenbosch, Stellenbosch, South Africa
| | - Bogdan Jaroszewicz
- Białowieża Geobotanical Station, Faculty of Biology, University of Warsaw, Białowieża, Poland
| | - Akane O Abbasi
- Forest Advanced Computing and Artificial Intelligence Laboratory (FACAI), Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Meinrad Abegg
- Swiss National Forest Inventory/Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
| | - Yves C Adou Yao
- UFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Ivory Coast
| | - Jesús Aguirre-Gutiérrez
- Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK
- Biodiversity Dynamics, Naturalis Biodiversity Center, Leiden, Netherlands
| | | | - Jan Altman
- Institute of Botany, Academy of Sciences of the Czech Republic, Trebon, Czech Republic
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences in Prague, Praha-Suchdol, Czech Republic
| | - Esteban Alvarez-Dávila
- Escuela ECAPMA, National Open University and Distance (Colombia) | UNAD, Bogotá, Colombia
| | | | - Luciana F Alves
- Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA
| | | | - Christian A Amani
- Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo
| | - Christian Ammer
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Goettingen, Germany
| | - Bhely Angoboy Ilondea
- Institut National pour l'Etude et la Recherche Agronomiques, Kinshasa, Democratic Republic of Congo
| | - Clara Antón-Fernández
- Norwegian Institute of Bioeconomy Research (NIBIO), Division of Forestry and Forest Resources, Ås, Norway
| | | | | | - Akomian F Azihou
- Laboratory of Applied Ecology, University of Abomey-Calavi, Cotonou, Benin
| | - Johan A Baard
- Scientific Services, South African National Parks, Knysna, South Africa
| | | | - Radomir Balazy
- Department of Geomatics, Forest Research Institute, Sekocin Stary, Raszyn, Poland
| | - Meredith L Bastian
- Proceedings of the National Academy of Sciences, Washington, DC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
| | - Rodrigue Batumike
- Department of Environment, Universtité du Cinquantenaire de Lwiro, Bukavu, Democratic Republic of Congo
| | - Marijn Bauters
- Department of Environment, Ghent University, Ghent, Belgium
- Department of Green Chemistry and Technology, Ghent University, Ghent, Belgium
| | - Hans Beeckman
- Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
| | | | - Robert Bitariho
- Institute of Tropical Forest Conservation, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Pascal Boeckx
- Department of Green Chemistry and Technology, Ghent University, Ghent, Belgium
| | - Jan Bogaert
- Université de Liège, Gembloux Agro-Bio Tech, Gembloux, Belgium
| | - Frans Bongers
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
| | - Olivier Bouriaud
- Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), University Stefan cel Mare of Suceava, Suceava, Romania
| | - Pedro H S Brancalion
- Department of Forestry Sciences, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | | | - Francis Q Brearley
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
| | - Jaime Briseno-Reyes
- Facultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Eben N Broadbent
- School of Forest, Fisheries, and Geomatics Sciences, Institute of Food & Agricultural Sciences, University of Florida, Gainesville, FL, USA
| | - Helge Bruelheide
- Institute of Biology and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Erwin Bulte
- Development Economics Group, Wageningen University, Wageningen, Netherlands
| | - Ann Christine Catlin
- Rosen Center for Advanced Computing (RCAC), Purdue University, West Lafayette, IN, USA
| | - Roberto Cazzolla Gatti
- Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy
| | - Ricardo G César
- Department of Forestry Sciences, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Han Y H Chen
- Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada
| | - Chelsea Chisholm
- Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland
| | - Emil Cienciala
- IFER - Institute of Forest Ecosystem Research, Jilove u Prahy, Czech Republic
- Global Change Research Institute of the CAS, Brno, Czech Republic
| | - Gabriel D Colletta
- Programa de Pós-graduação em Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas, Campinas CEP, Biologia, Brazil
| | | | - Anibal Cuchietti
- Dirección Nacional de Bosques (DNB), Ministerio de Ambiente y Desarrollo Sostenible (MAyDS), Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Aida Cuni-Sanchez
- Department of International Environment and Development Studies (Noragric), Faculty of Landscape and Society, Norwegian University of Life Sciences (NMBU), Ås, Norway
- Department of Environment and Geography, University of York, York, UK
| | - Javid A Dar
- Department of Environmental Science, School of Engineering and Sciences, SRM University-AP, Guntur, India
- Department of Botany, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Madhya Pradesh, India
- Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India
| | - Selvadurai Dayanandan
- Centre for Structural and Functional Genomics & Quebec Centre for Biodiversity Science, Biology Department, Concordia University, Montreal, Quebec, Canada
| | - Thales de Haulleville
- Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
- Université de Liège, Gembloux Agro-Bio Tech, Gembloux, Belgium
| | - Mathieu Decuyper
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
| | - Sylvain Delabye
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | - Géraldine Derroire
- Cirad, UMR EcoFoG (AgroParistech, CNRS, Inrae, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | - Ben DeVries
- Department of Geography, Environment and Geomatics, University of Guelph, Guelph, Ontario, Canada
| | - John Diisi
- National Forest Authority, Kampala, Uganda
| | - Tran Van Do
- Department of Silviculture Foundation, Silviculture Research Institute, Vietnamese Academy of Forest Sciences, Hanoi, Vietnam
| | - Jiri Dolezal
- Institute of Botany, Academy of Sciences of the Czech Republic, Trebon, Czech Republic
- Department of Botany, Faculty of Science, University of South Bohemia, Bohemia, Czech Republic
| | - Aurélie Dourdain
- Cirad, UMR EcoFoG (AgroParistech, CNRS, Inrae, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French Guiana
| | - Graham P Durrheim
- Scientific Services, South African National Parks, Knysna, South Africa
| | | | - Corneille E N Ewango
- Faculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of Congo
| | - Teresa J Eyre
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | - Tom M Fayle
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | | | - Leena Finér
- Natural Resources Institute Finland, Joensuu, Finland
| | - Markus Fischer
- Institute of Plant Sciences, University of Bern, Bern, Switzerland
| | - Jonas Fridman
- Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umea, Sweden
| | - Lorenzo Frizzera
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | - André L de Gasper
- Herbário Dr. Roberto Miguel Klein, Universidade Regional de Blumenau, Blumenau, Brazil
| | - Damiano Gianelle
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
| | | | | | - Lev Gorenstein
- Rosen Center for Advanced Computing (RCAC), Purdue University, West Lafayette, IN, USA
| | - Richard Habonayo
- Département des Sciences et Technologies de l'Environnement, Université du Burundi, Bujumbura, Burundi
| | - Olivier J Hardy
- Faculté des Sciences, Evolutionary Biology and Ecology Unit, Université Libre de Bruxelles, Brussels, Belgium
| | | | - Andrew Hector
- Department of Plant Sciences, University of Oxford, Oxford, UK
| | - Andreas Hemp
- Department of Plant Systematics, Bayreuth University, Bayreuth, Germany
| | - Martin Herold
- Helmholtz GFZ German Research Centre for Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Potsdam, Germany
| | - Annika Hillers
- Wild Chimpanzee Foundation, Liberia Representation, Monrovia, Liberia
- Centre for Conservation Science, The Royal Society for the Protection of Birds, Sandy, UK
| | - Wannes Hubau
- Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
- Department of Environment, Laboratory for Wood Technology (UGent-Woodlab), Ghent University, Ghent, Belgium
| | - Thomas Ibanez
- AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Nobuo Imai
- Department of Forest Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Gerard Imani
- Biology Department, Université Officielle de Bukavu, Bukavu, Democratic Republic of Congo
| | - Andrzej M Jagodzinski
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
- Poznan University of Life Sciences, Faculty of Forestry and Wood Technology, Department of Game Management and Forest Protection, Poznan, Poland
| | - Stepan Janecek
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Vivian Kvist Johannsen
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Carlos A Joly
- Plant Biology Department, Biology Institute, University of Campinas (UNICAMP), Campinas, Brazil
| | - Blaise Jumbam
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, USA
- Institute of Agricultural Research for Development (IRAD), Nkolbisson, Ministry of Scientific Research and Innovation, Yaounde, Cameroon
| | - Banoho L P R Kabelong
- Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | - Goytom Abraha Kahsay
- Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark
| | - Viktor Karminov
- Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russia
| | | | - Justin N Kassi
- Labo Botanique, Université Félix Houphouët-Boigny, Abidjan, Ivory Coast
| | - Elizabeth Kearsley
- Computational and Applied Vegetation Ecology Lab, Ghent University, Ghent, Belgium
| | - Deborah K Kennard
- Department of Physical and Environmental Sciences, Colorado Mesa University, Grand Junction, CO, USA
| | - Sebastian Kepfer-Rojas
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - Mohammed Latif Khan
- Department of Botany, Dr. Harisingh Gour Vishwavidalaya (A Central University), Sagar, India
| | - John N Kigomo
- Kenya Forestry Research Institute, Department of Forest Resource Assessment, Nairobi, Kenya
| | - Hyun Seok Kim
- Department of Forest Sciences, Seoul National University, Seoul, Republic of Korea
- Interdisciplinary Program in Agricultural and Forest Meteorology, Seoul National University, Seoul, Republic of Korea
- National Center for Agro Meteorology, Seoul, Republic of Korea
- Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Carine Klauberg
- School of Forest, Fisheries, and Geomatics Sciences, Institute of Food & Agricultural Sciences, University of Florida, Gainesville, FL, USA
| | - Yannick Klomberg
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Henn Korjus
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
| | - Subashree Kothandaraman
- Department of Botany, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Madhya Pradesh, India
- Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India
| | - Florian Kraxner
- International Institute for Applied Systems Analysis, Laxenburg, Austria
| | - Amit Kumar
- Department of Geoinformatics, Central University of Jharkhand, Ranchi, India
| | - Relawan Kuswandi
- Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan, Manokwari, Indonesia
| | - Mait Lang
- Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia
- Tartu Observatory, University of Tartu, Tõravere, Estonia
| | - Michael J Lawes
- School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Rodrigo V Leite
- Department of Forest Engineering, Federal University of Viçosa (UFV), Viçosa, Brazil
| | - Geoffrey Lentner
- Rosen Center for Advanced Computing (RCAC), Purdue University, West Lafayette, IN, USA
| | - Simon L Lewis
- School of Geography, University of Leeds, Leeds, UK
- Department of Geography, University College London, London, UK
| | - Moses B Libalah
- Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
- Plant Systematics and Ecology Laboratory (LaBosystE), Higher Teacher's Training College, University of Yaoundé I, Yaoundé, Cameroon
| | - Janvier Lisingo
- Laboratoire d'Écologie et Aménagement Forestier, Département d'Ecologie et de Gestion des Ressources Végétales, Université de Kisangani, Kisangani, Democratic Republic of Congo
| | | | - Huicui Lu
- Faculty of Forestry, Qingdao Agricultural University, Qingdao, China
| | - Natalia V Lukina
- Center for Forest Ecology and Productivity RAS (CEPF RAS), Moscow, Russia
| | | | - Vincent Maicher
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Brian S Maitner
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Eric Marcon
- Cirad, UMR EcoFoG (AgroParistech, CNRS, Inrae, Université des Antilles, Université de la Guyane), Campus Agronomique, Kourou, French Guiana
- AgroParisTech, UMR AMAP, University of Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France
| | - Andrew R Marshall
- University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- University of York, York, UK
- Flamingo Land Ltd., North Yorkshire, UK
| | - Emanuel H Martin
- Department of Wildlife Management, College of African Wildlife Management, Mweka, Tanzania
| | - Olga Martynenko
- Forestry Faculty, Bauman Moscow State Technical University, Mytischi, Russia
| | - Faustin M Mbayu
- Faculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of Congo
| | | | - Jorge A Meave
- Departamento de Ecología y Recursos Naturales, Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Cory Merow
- Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Stanislaw Miscicki
- Department of Forest Management and Forest Economics, Warsaw University of Life Sciences, Warsaw, Poland
| | - Vanessa S Moreno
- Department of Forestry Sciences, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, Brazil
| | - Albert Morera
- Joint Research Unit CTFC-Agrotecnio-CERCA, Solsona, Spain
| | - Sharif A Mukul
- Tropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore DC, Queensland, Australia
| | - Jörg C Müller
- Fieldstation Fabrikschleichach, Julius-Maximilians University Würzburg, Würzburg, Germany
- Bavarian Forest Nationalpark, Grafenau, Germany
| | - Agustinus Murdjoko
- Fakultas Kehutanan, Universitas Papua, Jalan Gunung Salju Amban, Manokwari Papua Barat, Indonesia
| | | | | | - Victor J Neldner
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | | | - Louis N Nforbelie
- Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | - Michael L Ngoh
- Tropical Plant Exploration Group (TroPEG), Buea, Cameroon
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA
| | - Anny E N'Guessan
- UFR Biosciences, University Félix Houphouët-Boigny, Abidjan, Ivory Coast
| | - Michael R Ngugi
- Queensland Herbarium, Department of Environment and Science, Toowong, Queensland, Australia
| | - Alain S K Ngute
- Tropical Forests and People Research Centre, University of the Sunshine Coast, Maroochydore DC, Queensland, Australia
- Applied Biology and Ecology Research Unit, University of Dschang, Dschang, Cameroon
| | - Emile Narcisse N Njila
- Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | - Melanie C Nyako
- Department of Plant Biology, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon
| | - Thomas O Ochuodho
- Department of Forestry and Natural Resources, University of Kentucky, Lexington, KY, USA
| | - Jacek Oleksyn
- Institute of Dendrology, Polish Academy of Sciences, Kórnik, Poland
| | - Alain Paquette
- UQAM, Centre for Forest Research, Montreal, Quebec, Canada
| | - Elena I Parfenova
- V.N. Sukachev Forest Institute of FRC KSC SB RAS, Krasnoyarsk, Russia
| | - Minjee Park
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA
| | - Marc Parren
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
| | | | - Sebastian Pfautsch
- Urban Management and Planning, School of Social Sciences, Western Sydney University, Penrith, New South Wales, Australia
| | | | - Maria T F Piedade
- Instituto Nacional de Pesquisas da Amazônia-INPA, Grupo Ecologia. Monitoramento e Uso Sustentável de Áreas Úmidas MAUA, Manaus, Brazil
| | - Daniel Piotto
- Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Ilhéus, Brazil
| | - Martina Pollastrini
- Department of Agriculture, Food, Environment and Forestry, University of Firenze, Firenze, Italy
| | - Lourens Poorter
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
| | - John R Poulsen
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | | | - Hans Pretzsch
- Technical University of Munich, School of Life Sciences Weihenstephan, Chair of Forest Growth and Yield Science, Munich, Germany
| | - Mirco Rodeghiero
- Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy
- Centro Agricoltura, Alimenti, Ambiente, University of Trento, San Michele all'Adige, Italy
| | - Samir G Rolim
- Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Ilhéus, Brazil
| | - Francesco Rovero
- Department of Biology, University of Florence, Sesto Fiorentino, Italy
- MUSE-Museo delle Scienze, Trento, Italy
| | | | - Khosro Sagheb-Talebi
- Agricultural Research, Education and Extension Organization (AREEO), Research Institute of Forests and Rangelands (RIFR), Tehran, Iran
| | - Purabi Saikia
- Department of Environmental Sciences, Central University of Jharkhand, Ranchi, India
| | - Moses Nsanyi Sainge
- Tropical Plant Exploration Group (TroPEG), Buea, Cameroon
- Institute of International Education Scholar Rescue Fund (IIE-SRF), One World Trade Center, New York, NY, USA
| | - Christian Salas-Eljatib
- Centro de Modelación y Monitoreo de Ecosistemas, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
- Vicerrectoría de Investigación y Postgrado, Universidad de La Frontera, Temuco, Chile
- Departamento de Silvicultura y Conservación de la Naturaleza, Universidad de Chile, Santiago, Chile
| | - Antonello Salis
- Forestry Division, Food and Agriculture Organization of the United Nations, Rome, Italy
| | - Peter Schall
- Silviculture and Forest Ecology of the Temperate Zones, University of Göttingen, Goettingen, Germany
| | - Dmitry Schepaschenko
- International Institute for Applied Systems Analysis, Laxenburg, Austria
- V.N. Sukachev Forest Institute of FRC KSC SB RAS, Krasnoyarsk, Russia
- Рeoples Friendship University of Russia (RUDN University), Moscow, Russia
| | | | - Bernhard Schmid
- Institution with City, Department of Geography, University of Zurich, Zurich, Switzerland
| | - Jochen Schöngart
- Instituto Nacional de Pesquisas da Amazônia-INPA, Grupo Ecologia. Monitoramento e Uso Sustentável de Áreas Úmidas MAUA, Manaus, Brazil
| | | | - Giacomo Sellan
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
- CNRS-UMR LEEISA, Campus Agronomique, Kourou, French Guiana
| | - Federico Selvi
- Department of Agriculture, Food, Environment and Forestry, University of Firenze, Firenze, Italy
| | | | - Douglas Sheil
- Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands
- Center for International Forestry Research (CIFOR), Situ Gede, Bogor Barat, Indonesia
| | | | - Plinio Sist
- Cirad, University of Montpellier, Montpellier, France
| | - Alexandre F Souza
- Universidade Federal do Rio Grande do Norte, Departamento de Ecologia, Natal, Brazil
| | | | - Martin J P Sullivan
- Department of Natural Sciences, Manchester Metropolitan University, Manchester, UK
| | - Somaiah Sundarapandian
- Department of Ecology and Environmental Sciences, Pondicherry University, Puducherry, India
| | - Miroslav Svoboda
- Faculty of Forestry and Wood Sciences, Czech University of Life Sciences in Prague, Praha-Suchdol, Czech Republic
| | - Mike D Swaine
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Natalia Targhetta
- Instituto Nacional de Pesquisas da Amazônia-INPA, Grupo Ecologia. Monitoramento e Uso Sustentável de Áreas Úmidas MAUA, Manaus, Brazil
| | - Nadja Tchebakova
- V.N. Sukachev Forest Institute of FRC KSC SB RAS, Krasnoyarsk, Russia
| | | | - Robert Tropek
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
- Biology Centre of the Czech Academy of Sciences, Institute of Entomology, Ceske Budejovice, Czech Republic
| | - John Tshibamba Mukendi
- Faculté des Sciences Appliquées, Université de Mbujimayi, Mbujimayi, Democratic Republic of Congo
| | | | - Vladimir A Usoltsev
- Ural State Forest Engineering University, Botanical Garden, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russia
| | | | | | | | - Fons van der Plas
- Plant Ecology and Nature Conservation Group, Wageningen University, AA Wageningen, Netherlands
| | - Daniel José Vega-Nieva
- Facultad de Ciencias Forestales, Universidad Juárez del Estado de Durango, Durango, Mexico
| | - Hans Verbeeck
- Computational and Applied Vegetation Ecology Lab, Ghent University, Ghent, Belgium
| | - Helder Viana
- Agricultural High School, ESAV, Polytechnic Institute of Viseu, IPV, Viseu, Portugal
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, UTAD, Quinta de Prados, Vila Real, Portugal
| | - Alexander C Vibrans
- Department of Forest Engineering, Universidade Regional de Blumenau, Blumenau, Brazil
| | - Simone A Vieira
- Nucleo de Estudos e Pesquisas Ambientais, Universidade Estadual de Campinas, Campinas (UNICAMP), SP, Campinas, Brazil
| | - Jason Vleminckx
- International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL, USA
| | - Catherine E Waite
- Forest Research Institute, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Hua-Feng Wang
- Sanya Nanfan Research Institute, Hainan Yazhou Bay Seed Laboratory, Hainan University, Sanya, China
| | - Eric Katembo Wasingya
- Faculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of Congo
| | - Chemuku Wekesa
- Kenya Forestry Research Institute, Taita Taveta Research Centre, Wundanyi, Kenya
| | - Bertil Westerlund
- Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umea, Sweden
| | - Florian Wittmann
- Department of Wetland Ecology, Institute for Geography and Geoecology, Karlsruhe Institute for Technology, Rastatt, Germany
| | - Verginia Wortel
- Department of Forest Management, Centre for Agricultural Research in Suriname, Paramaribo, Suriname
| | | | - Chunyu Zhang
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Xiuhai Zhao
- Research Center of Forest Management Engineering of State Forestry and Grassland Administration, Beijing Forestry University, Beijing, China
| | - Jun Zhu
- Department of Statistics, University of Wisconsin-Madison, Madison, WI, USA
| | - Xiao Zhu
- Rosen Center for Advanced Computing (RCAC), Purdue University, West Lafayette, IN, USA
| | - Zhi-Xin Zhu
- Sanya Nanfan Research Institute, Hainan Yazhou Bay Seed Laboratory, Hainan University, Sanya, China
| | - Irie C Zo-Bi
- Institut National Polytechnique Félix Houphouët-Boigny, DFR Eaux, Forêts et Environnement, BP, Yamoussoukro, Ivory Coast
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, South Africa.
- African Institute for Mathematical Sciences, Muizenberg, South Africa.
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Wang Z, Cai X, Jiang X, Xia Q, Li L, Lu B. Sympatric genetic divergence between early- and late-season weedy rice populations. THE NEW PHYTOLOGIST 2022; 235:2066-2080. [PMID: 35637631 PMCID: PMC9544748 DOI: 10.1111/nph.18288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
Sympatric genetic divergence is the most appealing and controversial pattern in the theory of ecological speciation. Examples that support sympatric genetic divergence in plant species are extremely rare. Solid evidence of sympatric genetic divergence will provide deep insights for revealing the underlying mechanisms of ecological speciation. We analysed the total genomic DNA sequences of 120 weedy rice (WR; Oryza sativa f. spontanea) plants, representing three WR population pairs separately from three early- and late-season rice fields, in comparison with those of the co-occurring rice cultivars and other rice materials. We detected substantial genetic divergence within the pairs of the sympatric early- and late-season WR populations, although genetic divergence was unevenly distributed across the genomes. Restricted gene flow was determined between the sympatric WR populations, resulting in their distinct genetic structures. We also detected relatively low genetic diversity that was likely to be associated with stronger selection in early-season WR populations. Our findings provide strong evidence for sympatric genetic divergence between the WR populations in the same fields but in different seasons. We conclude that temporal isolation plays an important role in creating genetic divergence between sympatric populations/species in plants.
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Affiliation(s)
- Zhi Wang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary BiologyFudan UniversitySonghu Road 2005Shanghai200438China
| | - Xingxing Cai
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary BiologyFudan UniversitySonghu Road 2005Shanghai200438China
| | - Xiao‐Qi Jiang
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary BiologyFudan UniversitySonghu Road 2005Shanghai200438China
| | - Qi‐Yu Xia
- Key Laboratory of Biology and Genetic Resources of Tropical Crops, Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction RegionsInstitute of Tropical Bioscience and Biotechnology, CATASHaikou571101China
| | - Lin‐Feng Li
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary BiologyFudan UniversitySonghu Road 2005Shanghai200438China
| | - Bao‐Rong Lu
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Department of Ecology and Evolutionary BiologyFudan UniversitySonghu Road 2005Shanghai200438China
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Wu W, Wang X, Zhao T, Zhang W, Fang S, Xu Y, Zhang K. Tropical-temperate comparisons in insect seed predation vary between study levels and years. Ecol Evol 2022; 12:e9256. [PMID: 36188509 PMCID: PMC9484303 DOI: 10.1002/ece3.9256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 07/28/2022] [Accepted: 08/05/2022] [Indexed: 11/09/2022] Open
Abstract
The biotic interaction hypothesis, which states the species interaction becomes stronger in the tropics, is deeply rooted in classic ecological literature and widely accepted to contribute to the latitudinal gradients of biodiversity. Tests in latitudinal insect-plant interaction have emphasized leaf-eating insects on a single or a few plant species rather than within an entire community and mixed accumulating evidence, leaving the biotic interaction hypothesis disputed. We aimed to test the hypothesis by quantifying insect seed predation in a pair of tropical and temperate forest communities with similar elevations. We applied a consistent study design to sample predispersal seeds with systematically set seed traps in 2019-2020 and examined internally feeding insects. The intensity of seed predation was measured and further applied to tropical versus temperate comparison at two levels (cross-species and community-wide). Our results showed every latitudinal pattern associated with different study levels and years, that is, negative (greater granivory in the tropics in community-wide comparison in 2020), positive (less granivory in the tropics in community-wide and cross-species comparison in 2019), and missing (similar level of granivory in the tropics in cross-species comparisons in 2020). The cross-species level analyses ignore differences among species in seed production and weaken or even lose the latitudinal trend detected by community-wide comparisons. The between-year discrepancy in tropical-temperate comparisons relates to the highly variable annual seed composition in the temperate forest due to mast seeding of dominant species. Our study highlights that long-term community-level researches across biomes are essential to assess the latitudinal biotic interaction hypothesis.
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Affiliation(s)
- Wenlan Wu
- School of Life SciencesGuizhou Normal UniversityGuiyangChina
| | - Xiaoxue Wang
- School of Life SciencesGuizhou Normal UniversityGuiyangChina
| | - Tao Zhao
- School of Life SciencesGuizhou Normal UniversityGuiyangChina
| | - Wenfu Zhang
- Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglaChina
| | - Shuai Fang
- Institute of Applied EcologyChinese Academy of SciencesShenyangChina
| | - Yu Xu
- School of Life SciencesGuizhou Normal UniversityGuiyangChina
| | - Kai Zhang
- School of Life SciencesGuizhou Normal UniversityGuiyangChina
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Caferri R, Bassi R. Plants and water in a changing world: a physiological and ecological perspective. RENDICONTI LINCEI. SCIENZE FISICHE E NATURALI 2022; 33:479-487. [PMID: 35991676 PMCID: PMC9374581 DOI: 10.1007/s12210-022-01084-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/23/2022] [Indexed: 11/27/2022]
Abstract
The reduction of greenhouse gases (GHGs) emission by replacing fossil energy stocks with carbon–neutral fuels is a major topic of the political and scientific debate on environmental sustainability. Such shift in energy sources is expected to curtail the accumulation rate of atmospheric CO2, which is a strong infrared absorber and thus contributes to the global warming effect. Although such change would produce desirable outputs, the consequences of a drastic decrease in atmospheric CO2 (the substrate of photosynthesis) should be carefully considered in the light of its potential impact on ecosystems stability and agricultural productivity. Indeed, plants regulate CO2 uptake and water loss through the same anatomical structure: the leaf stomata. A reduced CO2 availability is thus expected to enhance transpiration rate in plants decreasing their water use efficiency and imposing an increased water demand for both agricultural and wild ecosystems. We suggest that this largely underestimated issue should be duly considered when implementing policies that aim at the mitigation of global environmental changes and, at the same time, promote sustainable agricultural practices, include the preservation of biodiversity. Also, we underlie the important role(s) that modern biotechnology could play to tackle these global challenges by introducing new traits aimed at creating crop varieties with enhanced CO2 capture and water- and light-use efficiency.
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Affiliation(s)
- Roberto Caferri
- Dipartimento di Biotecnologie, Università di Verona, Verona, Italy
| | - Roberto Bassi
- Dipartimento di Biotecnologie, Università di Verona, Verona, Italy
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Fang WJ, Cai Q, Zhao Q, Ji CJ, Zhu JL, Tang ZY, Fang JY. Species richness patterns and the determinants of larch forests in China. PLANT DIVERSITY 2022; 44:436-444. [PMID: 36187549 PMCID: PMC9512642 DOI: 10.1016/j.pld.2022.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 06/16/2023]
Abstract
Larch forests are important for species diversity, as well as soil and water conservation in mountain regions. In this study, we determined large-scale patterns of species richness in larch forests and identified the factors that drive these patterns. We found that larch forest species richness was high in southern China and low in northern China, and that patterns of species richness along an elevational gradient depend on larch forest type. In addition, we found that patterns of species richness in larch forests are best explained by contemporary climatic factors. Specifically, mean annual temperature and annual potential evapotranspiration were the most important factors for species richness of tree and shrub layers, while mean temperature of the coldest quarter and anomaly of annual precipitation from the Last Glacial Maximum to the present were the most important for that of herb layer and the whole community. Community structural factors, especially stand density, are also associated with the species richness of larch forests. Our findings that species richness in China's larch forests is mainly affected by energy availability and cold conditions support the ambient energy hypothesis and the freezing tolerance hypothesis.
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Affiliation(s)
- Wen-Jing Fang
- School of Ecology and Environmental Science, Yunnan University, Kunming 650091, China
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Qiong Cai
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Qing Zhao
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Cheng-Jun Ji
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jiang-Ling Zhu
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Zhi-Yao Tang
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
| | - Jing-Yun Fang
- Department of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing 100871, China
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122
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Gainsbury AM, Santos EG, Wiederhecker H. Does urbanization impact terrestrial vertebrate ectotherms across a biodiversity hotspot? THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155446. [PMID: 35469884 DOI: 10.1016/j.scitotenv.2022.155446] [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: 10/21/2021] [Revised: 04/12/2022] [Accepted: 04/18/2022] [Indexed: 06/14/2023]
Abstract
Urbanization is increasing at an alarming rate altering biodiversity. As urban areas sprawl, it is vital to understand the effects of urbanization on biodiversity. Florida is ideal for this research; it has many reptile species and has experienced multiple anthropogenic impacts. Herein, we aim to evaluate human impacts on registered reptile richness across an urbanization gradient in Florida. The expectation is that highly urbanized areas would harbor a lower number of species. To represent urbanization, we used Venter et al. (2016) human footprint index. We downloaded georeferenced occurrence records from the Global Biodiversity Information Facility to collate species richness. We ran generalized linear regressions controlling for spatial autocorrelation structure to test the association between urbanization and reptile records across Florida. We found a positive association between urbanization and registered reptiles across Florida for total and non-native species richness; however, a lack of association occurred for native species. We performed rarefaction curves due to an inherent bias of citizen science data. The positive association was supported for non-native reptile species richness with greater species richness located at urban centers. Interestingly, total and native species richness were largest at low as well as moderate levels of urbanization. Thus, moderately urbanized areas may have the potential to harbor a similar number of reptile species compared to areas with low urbanization. Nevertheless, a difference exists in sample completeness between the urbanization categories. Thus, a more systematic monitoring of reptile species across an urbanization gradient, not only focusing on urban and wild areas but also including moderate levels of urbanization, is needed to provide informed conservation strategies for urban development planning. Advances in environmental sensors, environmental DNA, and citizen science outreach are necessary to implement if we are to effectively monitor biodiversity at the accelerated rate of urbanization.
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Affiliation(s)
- Alison M Gainsbury
- University of South Florida, St. Petersburg Campus, Department of Integrative Biology, St. Petersburg, FL 33701, USA.
| | | | - Helga Wiederhecker
- Catholic University of Brasilia, Campus Taguatinga, 71966-700 Brasilia, DF, Brazil
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123
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Jones DG, Kobelt J, Ross JM, Powell THQ, Prior KM. Latitudinal gradient in species diversity provides high niche opportunities for a range-expanding phytophagous insect. J Anim Ecol 2022; 91:2037-2049. [PMID: 35945806 DOI: 10.1111/1365-2656.13780] [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: 02/07/2022] [Accepted: 07/06/2022] [Indexed: 11/29/2022]
Abstract
When species undergo poleward range expansions in response to anthropogenic change, they likely encounter less diverse communities in new locations. If low diversity communities provide weak biotic interactions, such as reduced competition or predation, range-expanding species may experience high niche opportunities. Here, we investigated if oak gall wasp communities follow a latitudinal diversity gradient (LDG) and if lower diversity communities provide weaker interactions at the poles for a range-expanding community member, Neuroterus saltatorius. We performed systematic surveys of gall wasps on a dominant oak, Quercus garryana, throughout most of its range, from northern California to Vancouver Island, British Columbia. On 540 trees at 18 sites, we identified 23 oak gall wasp morphotypes in three guilds (leaf detachable, leaf integral, and stem galls). We performed regressions between oak gall wasp diversity, latitude, and other abiotic (e.g. temperature) and habitat (e.g. oak patch size) factors to reveal if gall wasp communities followed an LDG. To uncover patterns in local interactions, we first performed partial correlations of gall wasp morphotype occurrences on trees within regions). We then performed regressions between abundances of co-occurring gall wasps on trees to reveal if interactions are putatively competitive or antagonistic. Q. garryana-gall wasp communities followed an LDG, with lower diversity at higher latitudes, particularly with a loss of detachable leaf gall morphotypes. Detachable leaf gall wasps, including the range-expanding species, co-occurred most on trees, with weak co-occurrences on trees in the northern expanded region. Abundances of N. saltatorius and detachable and integral leaf galls co-occurring on trees were negatively related, suggesting antagonistic interactions. Overall, we found that LDGs create communities with weaker associations at the poles that might facilitate ecological release in a range-expanding community member. Given the ubiquity of LDGs in nature, poleward range-expanding species are likely moving into low diversity communities. Yet, understanding if latitudinal diversity pattern provides weak biotic interactions for range-expanding species is not well explored. Our large-scale study documenting diversity in a related community of phytophagous insects that co-occur on a host plant reveals that LDGs create high niche opportunities for a range-expanding community member. Biogeographical patterns in diversity and species interactions are likely important mechanisms contributing to altered biotic interactions under range-expansions.
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Affiliation(s)
- Dylan G Jones
- Department of Biological Sciences, Binghamton University SUNY, Binghamton, NY, USA
| | - Julia Kobelt
- Department of Biological Sciences, Binghamton University SUNY, Binghamton, NY, USA
| | - Jenna M Ross
- Department of Biological Sciences, Binghamton University SUNY, Binghamton, NY, USA
| | - Thomas H Q Powell
- Department of Biological Sciences, Binghamton University SUNY, Binghamton, NY, USA
| | - Kirsten M Prior
- Department of Biological Sciences, Binghamton University SUNY, Binghamton, NY, USA
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124
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Wu J, He Y, Zhao Y, Chen K, Cui Y, Wang H. A Simple Index of Lake Ecosystem Health Based on Species-Area Models of Macrobenthos. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9678. [PMID: 35955034 PMCID: PMC9367816 DOI: 10.3390/ijerph19159678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/01/2022] [Accepted: 08/03/2022] [Indexed: 06/15/2023]
Abstract
An effective biological index should meet two criteria: (1) the selected parameters have clear relationships with ecosystem health and can be measured simply by standard methods and (2) reference conditions can be defined objectively and simply. Species richness is a widely used estimate of ecosystem condition, although it is increased by nutrient enrichment, a common disturbance. Based on macrobenthos data from 91 shallow Yangtze lakes disconnected from the mainstem, we constructed an observed species (SO)-area (A) model to predict expected species richness (SE), and then developed an observed to expected index (O/E-SA) by calculating the SO/SE ratio. We then compared O/E-SA with three other commonly used indices regarding their ability to discriminate cultivated and urban lakes: (1) River Invertebrate Prediction and Classification System (RIVPACS; O/E-RF), (2) Benthic Index of Biotic Integrity (B-IBI), and (3) Average Score Per Taxon (ASPT). O/E-SA showed significant positive linear relationships with O/E-RF, B-IBI and ASPT. Quantile regressions showed that O/E-SA and O/E-RF had hump-shape relationships with most eutrophication metrics, whereas B-IBI and ASPT had no obvious relationships. Only O/E-SA, O/E50 and B-IBI significantly discriminated cultivated from urban lakes. O/E-SA had comparable or higher performance with O/E-RF, B-IBI and ASPT, but was much simpler. Therefore, O/E-SA is a simple and reliable index for lake ecosystem health bioassessment. Finally, a framework was proposed for integrated biological assessment of Yangtze-disconnected lakes.
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Affiliation(s)
- Junyan Wu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yajing He
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Yongjing Zhao
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Kai Chen
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, China
| | - Yongde Cui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Hongzhu Wang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
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125
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Engel T, Blowes SA, McGlinn DJ, Gotelli NJ, McGill BJ, Chase JM. How does variation in total and relative abundance contribute to gradients of species diversity? Ecol Evol 2022; 12:e9196. [PMID: 35991281 PMCID: PMC9382643 DOI: 10.1002/ece3.9196] [Citation(s) in RCA: 2] [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: 05/11/2022] [Accepted: 07/19/2022] [Indexed: 11/06/2022] Open
Abstract
Patterns of biodiversity provide insights into the processes that shape biological communities around the world. Variation in species diversity along biogeographical or ecological gradients, such as latitude or precipitation, can be attributed to variation in different components of biodiversity: changes in the total abundance (i.e., more-individual effects) and changes in the regional species abundance distribution (SAD). Rarefaction curves can provide a tool to partition these sources of variation on diversity, but first must be converted to a common unit of measurement. Here, we partition species diversity gradients into components of the SAD and abundance using the effective number of species (ENS) transformation of the individual-based rarefaction curve. Because the ENS curve is unconstrained by sample size, it can act as a standardized unit of measurement when comparing effect sizes among different components of biodiversity change. We illustrate the utility of the approach using two data sets spanning latitudinal diversity gradients in trees and marine reef fish and find contrasting results. Whereas the diversity gradient of fish was mostly associated with variation in abundance (86%), the tree diversity gradient was mostly associated with variation in the SAD (59%). These results suggest that local fish diversity may be limited by energy through the more-individuals effect, while species pool effects are the larger determinant of tree diversity. We suggest that the framework of the ENS-curve has the potential to quantify the underlying factors influencing most aspects of diversity change.
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Affiliation(s)
- Thore Engel
- Institute of Computer ScienceMartin Luther University Halle‐WittenbergHalle (Saale)Germany
- German Centre for Integrative Biodiversity Research (iDiv)LeipzigGermany
| | - Shane A. Blowes
- Institute of Computer ScienceMartin Luther University Halle‐WittenbergHalle (Saale)Germany
- German Centre for Integrative Biodiversity Research (iDiv)LeipzigGermany
| | - Daniel J. McGlinn
- Department of BiologyCollege of CharlestonCharlestonSouth CarolinaUSA
| | | | - Brian J. McGill
- School of Biology and Ecology, and Senator George J. Mitchell Center of Sustainability SolutionsUniversity of MaineOronoMaineUSA
| | - Jonathan M. Chase
- Institute of Computer ScienceMartin Luther University Halle‐WittenbergHalle (Saale)Germany
- German Centre for Integrative Biodiversity Research (iDiv)LeipzigGermany
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126
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Shuai L, Xiao S, Xie Y, Chen X, Song X, Fan T, Xie Y, Liu W. Ecological drivers of avian diversity in a subtropical landscape: Effects of habitat diversity, primary productivity and anthropogenic disturbance. Ecol Evol 2022; 12:e9166. [PMID: 35919390 PMCID: PMC9338441 DOI: 10.1002/ece3.9166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 11/22/2022] Open
Abstract
Understanding the roles of ecological drivers in shaping biodiversity is fundamental for conservation practice. In this study, we explored the effects of elevation, conservation status, primary productivity, habitat diversity and anthropogenic disturbance (represented by human population density and birding history) on taxonomic, phylogenetic and functional avian diversity in a subtropical landscape in southeastern China. We conducted bird surveys using 1-km transects across a total of 30 sites, of which 10 sites were located within a natural reserve. Metrics of functional diversity were calculated based on six functional traits (body mass, clutch size, dispersal ratio, sociality, diet and foraging stratum). We built simultaneous autoregression models to assess the association between the ecological factors and diversity of the local avian communities. Local avian diversity generally increased with increasing habitat diversity, human population density and primary productivity. We also detected phylogenetic and functional clustering in these communities, suggesting that the avian assemblages were structured mainly by environmental filtering, rather than interspecific competition. Compared with sites outside the natural reserve, sites within the natural reserve had relatively lower avian diversity but a higher level of phylogenetic heterogeneity.
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Affiliation(s)
- Ling‐Ying Shuai
- College of Life SciencesHuaibei Normal UniversityHuaibeiChina
| | | | - Yan‐Ping Xie
- College of Life SciencesHuaibei Normal UniversityHuaibeiChina
| | - Xing‐Min Chen
- College of Life SciencesHuaibei Normal UniversityHuaibeiChina
| | - Xiang‐Rong Song
- College of Life SciencesHuaibei Normal UniversityHuaibeiChina
| | - Tian‐Qiao Fan
- College of Life SciencesHenan Normal UniversityXinxiangChina
| | | | - Wei Liu
- College of Life SciencesHenan Normal UniversityXinxiangChina
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127
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Boyd JN, Anderson JT, Brzyski J, Baskauf C, Cruse-Sanders J. Eco-evolutionary causes and consequences of rarity in plants: a meta-analysis. THE NEW PHYTOLOGIST 2022; 235:1272-1286. [PMID: 35460282 DOI: 10.1111/nph.18172] [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: 12/03/2021] [Accepted: 04/11/2022] [Indexed: 06/14/2023]
Abstract
Species differ dramatically in their prevalence in the natural world, with many species characterized as rare due to restricted geographic distribution, low local abundance and/or habitat specialization. We investigated the ecoevolutionary causes and consequences of rarity with phylogenetically controlled metaanalyses of population genetic diversity, fitness and functional traits in rare and common congeneric plant species. Our syntheses included 252 rare species and 267 common congeners reported in 153 peer-reviewed articles published from 1978 to 2020 and one manuscript in press. Rare species have reduced population genetic diversity, depressed fitness and smaller reproductive structures than common congeners. Rare species also could suffer from inbreeding depression and reduced fertilization efficiency. By limiting their capacity to adapt and migrate, these characteristics could influence contemporary patterns of rarity and increase the susceptibility of rare species to rapid environmental change. We recommend that future studies present more nuanced data on the extent of rarity in focal species, expose rare and common species to ecologically relevant treatments, including reciprocal transplants, and conduct quantitative genetic and population genomic analyses across a greater array of systems. This research could elucidate the processes that contribute to rarity and generate robust predictions of extinction risks under global change.
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Affiliation(s)
- Jennifer Nagel Boyd
- Department of Biology, Geology, and Environmental Science, University of Tennessee at Chattanooga, 615 McCallie Avenue, Chattanooga, TN, 37403, USA
| | - Jill T Anderson
- Department of Genetics, University of Georgia, 120 Green Street, Athens, GA, 30602, USA
| | - Jessica Brzyski
- Department of Biology, Seton Hill University, 1 Seton Hill Drive, Greensburg, PA, 15601, USA
| | - Carol Baskauf
- Department of Biology, Austin Peay State University, PO Box 4718, Clarksville, TN, 37044, USA
| | - Jennifer Cruse-Sanders
- State Botanical Garden of Georgia, University of Georgia, 2450 S. Milledge Avenue, Athens, GA, 30605, USA
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128
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Chen K, Khine PK, Yang Z, Schneider H. Historical plant records enlighten the conservation efforts of ferns and Lycophytes’ diversity in tropical China. J Nat Conserv 2022. [DOI: 10.1016/j.jnc.2022.126197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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129
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Genetic Diversity and Population Structure of Jubaea chilensis, an Endemic and Monotype Gender from Chile, Based on SNP Markers. PLANTS 2022; 11:plants11151959. [PMID: 35956437 PMCID: PMC9370131 DOI: 10.3390/plants11151959] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/12/2022] [Accepted: 07/19/2022] [Indexed: 11/17/2022]
Abstract
Jubaea chilensis (Molina) Baill., also named Chilean palm, is an endemic species found in the coastal area of Mediterranean sclerophyllous forest in Chile. It has a highly restricted and fragmented distribution along the coast, being under intense exploitation and anthropogenic impact. Based on 1038 SNP markers, we evaluated the genetic diversity and population structure among six J. chilensis natural groups encompassing 96% of the species distribution. We observed low levels of genetic diversity, a deficit of heterozygotes (mean HE = 0.024; HO = 0.014), and high levels of inbreeding (mean FIS = 0.424). The fixation index (FST) and Nei’s genetic distance pairwise comparisons indicated low to moderate structuring among populations. There was no evidence of isolation by distance (r = −0.214, p = 0.799). In the cluster analysis, we observed a closer relationship among Culimo, Cocalán, and Candelaria populations. Migration rates among populations were low, except for some populations with moderate values. The K value that best represented the spatial distribution of genetic diversity was ∆K = 3. Habitat fragmentation, deterioration of the sclerophyllous forest, lack of long-distance dispersers, and a natural regeneration deficit may have driven inbreeding and low levels of genetic diversity in the palm groves of J. chilensis. Although extant populations are not at imminent risk of extinction, the rate of inbreeding could increase and migration could decrease if the effects of climate change and human impact become more acute.
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130
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Blowes SA, Daskalova GN, Dornelas M, Engel T, Gotelli NJ, Magurran AE, Martins IS, McGill B, McGlinn DJ, Sagouis A, Shimadzu H, Supp SR, Chase JM. Local biodiversity change reflects interactions among changing abundance, evenness, and richness. Ecology 2022; 103:e3820. [DOI: 10.1002/ecy.3820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/30/2022] [Accepted: 06/02/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Shane A. Blowes
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Gergana N. Daskalova
- School of GeoSciences University of Edinburgh Scotland, UK
- International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria
| | - Maria Dornelas
- Centre for Biological Diversity University of St Andrews KY16 9TH
| | - Thore Engel
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | | | - Anne E. Magurran
- Centre for Biological Diversity University of St Andrews KY16 9TH
| | - Inês S. Martins
- Centre for Biological Diversity University of St Andrews KY16 9TH
- Leverhulme Centre for Anthropocene Biodiversity and Department of Biology University of York York UK
| | - Brian McGill
- School of Biology and Ecology and Mitchell Center for Sustainability Solutions University of Maine Orono, ME United States
| | | | - Alban Sagouis
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
| | - Hideyasu Shimadzu
- Department of Mathematical Sciences Loughborough University UK
- Graduate School of Public Health Teikyo University Tokyo Japan
| | - Sarah R. Supp
- Data Analytics Program Denison University Granville Ohio USA
| | - Jonathan M. Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Germany
- Department of Computer Science Martin Luther University Halle‐Wittenberg Halle (Salle) Germany
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131
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Klipel J, Bergamin RS, Esquivel‐Muelbert A, de Lima RAF, de Oliveira AA, Prado PI, Müller SC. Climatic distribution of tree species in the Atlantic Forest. Biotropica 2022. [DOI: 10.1111/btp.13140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Joice Klipel
- Laboratório de Ecologia Vegetal, Programa de Pós‐Graduação em Ecologia, Instituto de Biociências Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
| | - Rodrigo Scarton Bergamin
- Laboratório de Ecologia Vegetal, Programa de Pós‐Graduação em Ecologia, Instituto de Biociências Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
- Laboratório de Estudos em Vegetação Campestre, Programa de Pós‐Graduação em Botânica Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
| | - Adriane Esquivel‐Muelbert
- School of Geography, Earth and Environmental Sciences University of Birmingham Birmingham UK
- Birmingham Institute of Forest Research University of Birmingham Birmingham UK
| | - Renato A. F. de Lima
- Tropical Botany, Naturalis Biodiversity Center Leiden The Netherlands
- Departamento de Ecologia, Instituto de Biociências Universidade de São Paulo São Paulo Brazil
| | | | - Paulo Inácio Prado
- Departamento de Ecologia, Instituto de Biociências Universidade de São Paulo São Paulo Brazil
| | - Sandra Cristina Müller
- Laboratório de Ecologia Vegetal, Programa de Pós‐Graduação em Ecologia, Instituto de Biociências Universidade Federal do Rio Grande do Sul Porto Alegre Brazil
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132
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Richness, not evenness, varies across water availability gradients in grassy biomes on five continents. Oecologia 2022; 199:649-659. [PMID: 35833986 DOI: 10.1007/s00442-022-05208-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 06/10/2022] [Indexed: 10/17/2022]
Abstract
We sought to understand the role that water availability (expressed as an aridity index) plays in determining regional and global patterns of richness and evenness, and in turn how these water availability-diversity relationships may result in different richness-evenness relationships at regional and global scales. We examined relationships between water availability, richness and evenness for eight grassy biomes spanning broad water availability gradients on five continents. Our study found that relationships between richness and water availability switched from positive for drier (South Africa, Tibet and USA) vs. negative for wetter (India) biomes, though were not significant for the remaining biomes. In contrast, only the India biome showed a significant relationship between water availability and evenness, which was negative. Globally, the richness-water availability relationship was hump-shaped, however, not significant for evenness. At the regional scale, a positive richness-evenness relationship was found for grassy biomes in India and Inner Mongolia, China. In contrast, this relationship was weakly concave-up globally. These results suggest that different, independent factors are determining patterns of species richness and evenness in grassy biomes, resulting in differing richness-evenness relationships at regional and global scales. As a consequence, richness and evenness may respond very differently across spatial gradients to anthropogenic changes, such as climate change.
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133
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Lin Z, Wu T, Xiao Y, Rao E, Shi X, Ouyang Z. Protecting biodiversity to support ecosystem services: An analysis of trade‐offs and synergies in southwestern China. J Appl Ecol 2022. [DOI: 10.1111/1365-2664.14248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Ziyan Lin
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
| | - Tong Wu
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
| | - Yi Xiao
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
| | - Enming Rao
- Faculty of Geography Resources Sciences Sichuan Normal University Chengdu China
| | - Xuewei Shi
- Satellite Application Center for Ecology and Environment Ministry of Ecology and Environment Beijing China
| | - Zhiyun Ouyang
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco‐environmental Science Chinese Academy of Sciences Beijing China
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134
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Patterns and Driving Factors of Diversity in the Shrub Community in Central and Southern China. FORESTS 2022. [DOI: 10.3390/f13071090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Climate, topography, and human activities are known to influence plant diversity. In the present study, species-abundance distribution (SAD) patterns of the shrub community were fitted, and the mechanism of contribution of 22 driving factors was assessed. The results showed that the α-diversity index exhibited no significant differences between artificial disturbance and the natural community. The Zipf and Zipf–Mandelbrot models were found to exhibit a good SAD fitting of the communities, thereby exhibiting a different diversity structure. It was observed that the SAD followed more than one rule, and the Zipf–Mandelbrot model was better than other models. The gradient boosting model indicated that precipitation in the wettest month, annual precipitation, and slope direction showed the strongest impact on plant richness. The indicator species of the artificial disturbance and natural community were identified from a multiple regression tree. Furthermore, an increase in species diversity was observed with a rise in latitude, exhibiting a single-peaked curve with increased altitude. β-diversity analysis indicated that both habitat filtering and the neutral effect influenced the establishment of the natural community, while the establishment of the artificial disturbance community was only affected by habitat filtering. Our study provides a better understanding of the ecological process of the maintenance of shrub-community diversity.
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135
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Global variation in diversification rate and species richness are unlinked in plants. Proc Natl Acad Sci U S A 2022; 119:e2120662119. [PMID: 35767644 PMCID: PMC9271200 DOI: 10.1073/pnas.2120662119] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Species richness varies immensely around the world. Variation in the rate of diversification (speciation minus extinction) is often hypothesized to explain this pattern, while alternative explanations invoke time or ecological carrying capacities as drivers. Focusing on seed plants, the world's most important engineers of terrestrial ecosystems, we investigated the role of diversification rate as a link between the environment and global species richness patterns. Applying structural equation modeling to a comprehensive distribution dataset and phylogenetic tree covering all circa 332,000 seed plant species and 99.9% of the world's terrestrial surface (excluding Antarctica), we test five broad hypotheses postulating that diversification serves as a mechanistic link between species richness and climate, climatic stability, seasonality, environmental heterogeneity, or the distribution of biomes. Our results show that the global patterns of species richness and diversification rate are entirely independent. Diversification rates were not highest in warm and wet climates, running counter to the Metabolic Theory of Ecology, one of the dominant explanations for global gradients in species richness. Instead, diversification rates were highest in edaphically diverse, dry areas that have experienced climate change during the Neogene. Meanwhile, we confirmed climate and environmental heterogeneity as the main drivers of species richness, but these effects did not involve diversification rates as a mechanistic link, calling for alternative explanations. We conclude that high species richness is likely driven by the antiquity of wet tropical areas (supporting the "tropical conservatism hypothesis") or the high ecological carrying capacity of warm, wet, and/or environmentally heterogeneous environments.
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136
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Developing a Model to Select Indicator Species Based on Individual Species’ Contributions to Biodiversity. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12136748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
In both ecological research and engineering, the selection of indicator species is crucial. Biodiversity has always been an important policy objective for ecologists and environmental managers. Based on this target requirement, we developed a method that reveals the individual contributions of species to biodiversity to quantitatively identify indicator species for selection during environmental monitoring. The Siangshan Wetland in Hsinchu, Taiwan, was selected as an application case. The spread of mangroves not only changed the original habitat composition and function of benthic organisms in wetlands, but also led to problems such as estuary filling, flooding, and black mosquito breeding. Therefore, a large-scale mangrove removal project was undertaken by the Hsinchu City Government from October 2015 to March 2016. In this study, the biological effects of mangrove removal on benthic organisms and adjacent habitats were investigated from October 2015 to September 2016. According to biodiversity contribution algorithms, we identified five indicator species, namely, Mictyris brevidactylus, Macrophthalmus banzai, Uca arcuata, U. lacteal, and U. borealis. These indicator species had the most prominent biodiversity contribution, and they provided direct evidence of the beneficial effect of mangrove removal for wetland restoration. After mangrove deforestation, tidal flat species returned to their original habitats, and their related densities increased significantly in mangrove removal areas. Improving our understanding of the relationships between biodiversity and indicator species is crucial for the development of coastal management processes. Mangrove removal can be confirmed as an appropriate habitat rehabilitation strategy for benthic organisms. Consequently, these indicator species and the results obtained can provide valuable ecological information for those involved in coastal management or other officials seeking to control the spread of mangroves.
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137
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Hansen AJ, Mullan K, Theobald DM, Robinson N, East A, Powell S. Informing conservation decisions to target private lands of highest ecological value and risk of loss. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2612. [PMID: 35366043 DOI: 10.1002/eap.2612] [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: 03/25/2021] [Revised: 08/17/2021] [Accepted: 09/15/2021] [Indexed: 06/14/2023]
Abstract
Natural habitats on private lands are potentially important components of national biodiversity conservation strategies, yet they are being rapidly lost to development. Conservation easements and other means of protecting these habitats have expanded in use and will be most effective if they target private lands of highest biodiversity value and risk of loss. We developed a Biodiversity Conservation Priority Index (BCPI) based on ecological value and risk of habitat loss for remaining areas of natural vegetation cover (NVC) in the northwestern United States and addressed two questions: (1) Which remaining NVC on private lands is the highest priority for biodiversity conservation based on ecological value and risk of development? And (2) are conservation easements in NVC placed preferentially in locations of high biodiversity conservation priority? Drawing on the concept of ecological integrity, we integrated five metrics of ecological structure, function, and composition to quantify ecological value of NVC. These included net primary productivity, species richness, ecosystem type representation, imperiled species range rarity, and connectivity among "Greater Wildland Ecosystems." Risk of habitat loss was derived from analysis of biophysical and sociodemographic predictors of NVC loss. Ecological value and risk of loss were combined into the BCPI. We then analyzed spatial patterns of BCPI to identify the NVC highest in biodiversity conservation priority and examined the relationship between BCPI and conservation easement status. We found that BCPI varied spatially across the study area and was highest in western and southern portions of the study area. High BCPI was associated with suburban and rural development, roads, urban proximity, valley bottom landforms, and low intensity of current development. Existing conservation easements were distributed more towards lower BCPI values than unprotected NVC at both the study area and region scales. The BCPI can be used to better inform land use decision making at local, regional, and potentially national scales in order to better achieve biodiversity goals.
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Affiliation(s)
- Andrew J Hansen
- Department of Ecology, Montana State University, Bozeman, Montana, USA
| | - Katrina Mullan
- Department of Economics, University of Montana, Missoula, Montana, USA
| | | | | | - Alyson East
- Department of Ecology, Montana State University, Bozeman, Montana, USA
| | - Scott Powell
- Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, Montana, USA
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138
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König S, Krauss J, Keller A, Bofinger L, Steffan-Dewenter I. Phylogenetic relatedness of food plants reveals highest insect herbivore specialization at intermediate temperatures along a broad climatic gradient. GLOBAL CHANGE BIOLOGY 2022; 28:4027-4040. [PMID: 35429201 DOI: 10.1111/gcb.16199] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/25/2022] [Accepted: 03/30/2022] [Indexed: 06/14/2023]
Abstract
The composition and richness of herbivore and plant assemblages change along climatic gradients, but knowledge about associated shifts in specialization is scarce and lacks controlling for the abundance and phylogeny of interaction partners. Thus, we aimed to test whether the specialization of phytophagous insects in insect-plant interaction networks decreases toward cold habitats as predicted by the 'altitude niche-breadth hypothesis' to forecast possible consequences of interaction rewiring under climate change. We used a non-invasive, standardized metabarcoding approach to reconstruct dietary relationships of Orthoptera species as a major insect herbivore taxon along a broad temperature gradient (~12°C) in Southern Germany. Based on Orthoptera surveys, feeding observations, collection of fecal pellets from >3,000 individuals of 54 species, and parallel vegetation surveys on 41 grassland sites, we quantified plant resource availability and its use by herbivores. Herbivore assemblages were richer in species and individuals at sites with high summer temperatures, while plant richness peaked at intermediate temperatures. Corresponding interaction networks were most specialized in warm habitats. Considering phylogenetic relationships of plant resources, however, the specialization pattern was not linear but peaked at intermediate temperatures, mediated by herbivores feeding on a narrow range of phylogenetically related resources. Our study provides empirical evidence of resource specialization of insect herbivores along a climatic gradient, demonstrating that resource phylogeny, availability, and temperature interactively shape the specialization of herbivore assemblages. Instead of low specialization levels only in cold, harsh habitats, our results suggest increased generalist feeding due to intraspecific changes and compositional differences at both ends of the microclimatic gradient. We conclude that this nonlinear change of phylogeny-based resource specialization questions predictions derived from the 'altitude-niche breadth hypothesis' and highlights the currently limited understanding of how plant-herbivore interactions will change under future climatic conditions.
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Affiliation(s)
- Sebastian König
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
| | - Jochen Krauss
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
| | - Alexander Keller
- Organismic and Cellular Interactions, Biocenter, Ludwig-Maximilians-Universität München, Planegg, Germany
| | | | - Ingolf Steffan-Dewenter
- Department of Animal Ecology and Tropical Biology, Biocenter, University of Würzburg, Würzburg, Germany
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139
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Du Y, Zhao Y, Dong S, Chen G, Wang X, Ma K. The Diversity Distribution and Climatic Niche of Samara Species in China. FRONTIERS IN PLANT SCIENCE 2022; 13:895720. [PMID: 35783943 PMCID: PMC9249021 DOI: 10.3389/fpls.2022.895720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
Abstract
Studying the distribution of samara species is of ecological and economic significance. This information helps us with understanding species dispersal mechanisms, evaluating the risk of invasive species, and the management of ecological forests. However, limited research has explored, on a large scale, the geographic distribution of samara species and their influential abiotic factors. Here, we use the distribution data of 835 vascular samara species and growth form data to explore their geographic patterns in China and the environmental determinants. We divided China into 984 grid cells and examined the relationship between the proportion of samara species and climate variables using both ordinary and spatial linear regressions for each grid cell. Total samara species richness is higher in southern China in low altitude regions and the proportion of woody samara species is significantly higher than that of herbaceous samara species. The proportion of woody samara species is higher in the northeast regions where precipitation is sufficient, winters are dry and mild, and temperature seasonality and land surface relief degree values are high. Annual precipitation and temperature seasonality are the most important climatic drivers for the distribution of woody samara species. In contrast, herbaceous samara species prefer to distribute to the areas where climate is warm and dry but have higher temperature seasonality. Temperature related variables (mean annual temperature, mean diurnal range, and temperature seasonality) are the most important drivers for the distribution of herbaceous samara species. Samara species can better adapt to climatic regions with large temperature fluctuations and dry winters. The present distribution patterns of samara species are formed by the combined adaptation of fruit traits and growth form to climate. This work contributes to predictions of the global distribution of samara species under future climate change scenarios and conservation and management for the samara species.
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Affiliation(s)
- Yanjun Du
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
| | - Yuan Zhao
- College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, China
| | | | - Guoke Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xinyang Wang
- Key Laboratory of Genetics and Germplasm Innovation of Tropical Special Forest Trees and Ornamental Plants (Ministry of Education), College of Forestry, Hainan University, Haikou, China
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
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140
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Ecology and Evolution of Plants in the Mediterranean Basin: Perspectives and Challenges. PLANTS 2022; 11:plants11121584. [PMID: 35736734 PMCID: PMC9229007 DOI: 10.3390/plants11121584] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2022]
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141
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Carrasco L, Giam X, Sheldon KS, Papeş M. The relative influence of history, climate, topography and vegetation structure on local animal richness varies among taxa and spatial grains. J Anim Ecol 2022; 91:1596-1611. [PMID: 35638320 DOI: 10.1111/1365-2656.13752] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/10/2022] [Indexed: 11/29/2022]
Abstract
1. Understanding the spatial scales at which environmental factors drive species richness patterns is a major challenge in ecology. Due to the trade-off between spatial grain and extent, studies tend to focus on a single spatial scale, and the effects of multiple environmental variables operating across spatial scales on the pattern of local species richness have rarely been investigated. 2. Here, we related variation in local species richness of ground beetles, landbirds, and small mammals to variation in vegetation structure and topography, regional climate, biome diversity, and glaciation history for 27 sites across the USA at two different spatial grains. 3. We studied the relative influence of broad-scale (landscape) environmental conditions using variables estimated at the site level (climate, productivity, biome diversity, and glacial era ice cover) and fine-scale (local) environmental conditions using variables estimated at the plot level (topography and vegetation structure) to explain local species richness. We also examined whether plot-level factors scale up to drive continental scale richness patterns. We used Bayesian hierarchical models and quantified the amount of variance in observed richness that was explained by environmental factors at different spatial scales. 4. For all three animal groups, our models explained much of the variation in local species richness (85-89%), but site-level variables explained a greater proportion of richness variance than plot-level variables. Temperature was the most important site-level predictor for explaining variance in landbirds and ground beetles richness. Some aspects of vegetation structure were the main plot-level predictors of landbird richness. Environmental predictors generally had poor explanatory power for small mammal richness, while glacial era ice cover was the most important site-level predictor. 5. Relationships between plot-level factors and richness varied greatly among geographical regions and spatial grains, and most relationships did not hold when predictors were scaled up to continental scale. Our results suggest that the factors that determine richness may be highly dependent on spatial grain, geography, and animal group. We demonstrate that instead of artificially manipulating the resolution to study multi-scale effects, a hierarchical approach that uses fine grain data at broad extents could help solve the issue of scale selection in environment-richness studies.
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Affiliation(s)
- Luis Carrasco
- National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN, USA.,Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA.,Descartes Labs, Inc., USA
| | - Xingli Giam
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA
| | - Kimberly S Sheldon
- Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA
| | - Monica Papeş
- National Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN, USA.,Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN, USA
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142
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Pérez‐Rosales G, Pichon M, Rouzé H, Villeger S, Torda G, Bongaerts P, Carlot J, Parravicini V, Hédouin L, Bardout G, Fauchet J, Ferucci A, Gazzola F, Lagarrigue G, Leblond J, Marivint E, Mittau A, Mollon N, Paulme N, Périé‐Bardout E, Pete R, Pujolle S, Siu G. Mesophotic coral ecosystems of French Polynesia are hotspots of alpha and beta generic diversity for scleractinian assemblages. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Gonzalo Pérez‐Rosales
- PSL Research University EPHE‐UPVD‐CNRS USR 3278 CRIOBE Moorea French Polynesia
- PSL Université Paris: EPHE‐UPVD‐CNRS USR 3278 CRIOBE Université de Perpignan Perpignan Cedex France
| | - Michel Pichon
- Biodiversity Section Queensland Museum Townsville Queensland Australia
| | - Héloïse Rouzé
- PSL Université Paris: EPHE‐UPVD‐CNRS USR 3278 CRIOBE Université de Perpignan Perpignan Cedex France
- Marine Laboratory University of Guam Mangilao Guam USA
| | | | - Gergely Torda
- ARC Centre of Excellence for Coral Reef Studies James Cook University Townsville Queensland Australia
| | - Pim Bongaerts
- California Academy of Sciences San Francisco California USA
| | - Jeremey Carlot
- PSL Université Paris: EPHE‐UPVD‐CNRS USR 3278 CRIOBE Université de Perpignan Perpignan Cedex France
| | - Valeriano Parravicini
- PSL Université Paris: EPHE‐UPVD‐CNRS USR 3278 CRIOBE Université de Perpignan Perpignan Cedex France
| | - Laetitia Hédouin
- PSL Research University EPHE‐UPVD‐CNRS USR 3278 CRIOBE Moorea French Polynesia
- PSL Université Paris: EPHE‐UPVD‐CNRS USR 3278 CRIOBE Université de Perpignan Perpignan Cedex France
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143
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Nishizawa K, Shinohara N, Cadotte MW, Mori AS. The latitudinal gradient in plant community assembly processes: A meta-analysis. Ecol Lett 2022; 25:1711-1724. [PMID: 35616424 DOI: 10.1111/ele.14019] [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: 09/07/2021] [Revised: 03/03/2022] [Accepted: 04/13/2022] [Indexed: 11/28/2022]
Abstract
Beta(β)-diversity, or site-to-site variation in species composition, generally decreases with increasing latitude, and the underlying processes driving this pattern have been challenging to elucidate because the signals of community assembly processes are scale-dependent. In this meta-analysis, by synthesising the results of 103 studies that were distributed globally and conducted at various spatial scales, we revealed a latitudinal gradient in the detectable assembly processes of vascular plant communities. Variations in plant community composition at low and high latitudes were mainly explained by geographic variables, suggesting that distance decay and dispersal limitations causing spatial aggregation are influential in these regions. In contrast, variation in species composition correlated most strongly with environmental variables at mid-latitudes (20-30°), reflecting the importance of environmental filtering, although this unimodal pattern was not statistically significant. Importantly, our analysis revealed the effects of different spatial scales, such that the correlation with spatial variables was stronger at smaller sampling extents, and environmental variables were more influential at larger sampling extents. We concluded that plant communities are driven by different community assembly processes in distinct biogeographical regions, suggesting that the latitudinal gradient of biodiversity is created by a combination of multiple processes that vary with environmental and species size differences.
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Affiliation(s)
- Keita Nishizawa
- The University of Tokyo, Tokyo, Japan.,Yokohama National University, Yokohama, Japan
| | | | - Marc W Cadotte
- Biological Sciences, University of Toronto Scarborough, Toronto, Canada
| | - Akira S Mori
- The University of Tokyo, Tokyo, Japan.,Yokohama National University, Yokohama, Japan
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144
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Jiang Z, Liu Q, Xu W, Peng C. The Importance of Energy Theory in Shaping Elevational Species Richness Patterns in Plants. BIOLOGY 2022; 11:biology11060819. [PMID: 35741340 PMCID: PMC9219821 DOI: 10.3390/biology11060819] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 11/16/2022]
Abstract
Many hypotheses have been proposed to explain elevational species richness patterns; however, evaluating their importance remains a challenge, as mountains that are nested within different biogeographic regions have different environmental attributes. Here, we conducted a comparative study for trees, shrubs, herbs, and ferns along the same elevational gradient for 22 mountains worldwide, examining the performance of hypotheses of energy, tolerance, climatic variability, and spatial area to explain the elevational species richness patterns for each plant group. Results show that for trees and shrubs, energy-related factors exhibit greater explanatory power than other factors, whereas the factors that are associated with climatic variability performed better in explaining the elevational species richness patterns of herbs and ferns. For colder mountains, energy-related factors emerged as the main drivers of woody species diversity, whereas in hotter and wetter ecosystems, temperature and precipitation were the most important predictors of species richness along elevational gradients. For herbs and ferns, the variation in species richness was less than that of woody species. These findings provide important evidence concerning the generality of the energy theory for explaining the elevational species richness pattern of plants, highlighting that the underlying mechanisms may change among different growth form groups and regions within which mountains are nested.
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Affiliation(s)
- Zihan Jiang
- Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montreal, QC H3C 3P8, Canada; (Z.J.); (Q.L.)
| | - Qiuyu Liu
- Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montreal, QC H3C 3P8, Canada; (Z.J.); (Q.L.)
| | - Wei Xu
- Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510075, China;
| | - Changhui Peng
- Department of Biology Sciences, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Centre-Ville, Montreal, QC H3C 3P8, Canada; (Z.J.); (Q.L.)
- School of Geographic Sciences, Hunan Normal University, Changsha 410081, China
- Correspondence:
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145
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Boyd JN, Odell J, Cruse‐Sanders J, Rogers W, Anderson JT, Baskauf C, Brzyski J. Phenotypic plasticity and genetic diversity elucidate rarity and vulnerability of an endangered riparian plant. Ecosphere 2022. [DOI: 10.1002/ecs2.3996] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Jennifer Nagel Boyd
- Department of Biology, Geology, and Environmental Science University of Tennessee at Chattanooga Chattanooga Tennessee USA
| | - Jared Odell
- Department of Biology, Geology, and Environmental Science University of Tennessee at Chattanooga Chattanooga Tennessee USA
| | - Jennifer Cruse‐Sanders
- Department of Genetics Odum School of Ecology, Davison Life Sciences, University of Georgia Athens Georgia USA
| | - Will Rogers
- Department of Biology, Geology, and Environmental Science University of Tennessee at Chattanooga Chattanooga Tennessee USA
- State Botanical Garden of Georgia University of Georgia Athens Georgia USA
| | - Jill T. Anderson
- Department of Biology, Geology, and Environmental Science University of Tennessee at Chattanooga Chattanooga Tennessee USA
- Department of Genetics Odum School of Ecology, Davison Life Sciences, University of Georgia Athens Georgia USA
- State Botanical Garden of Georgia University of Georgia Athens Georgia USA
| | - Carol Baskauf
- Department of Biology Austin Peay State University Clarksville Tennessee USA
| | - Jessica Brzyski
- Department of Biology Seton Hill University Greensburg Pennsylvania USA
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146
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Ballesteros I, Bravo-Castro M, Villamarín-Cortez S, Jijón G, Prat N, Ríos-Touma B, Villamarín C. Genetic Variability of Polypedilum (Diptera: Chironomidae) from Southwest Ecuador. INSECTS 2022; 13:insects13040382. [PMID: 35447824 PMCID: PMC9028585 DOI: 10.3390/insects13040382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 03/28/2022] [Accepted: 03/31/2022] [Indexed: 12/10/2022]
Abstract
Simple Summary Polypedilum is a genus of aquatic non-biting midges in the family Chironomidae. This genus is widely distributed in neotropical rivers from lowlands to Andean highlands. Nevertheless, making species identification based on morphology is quite complex, even more so in the Neotropics, since systematic studies of this group are scarce. DNA barcoding can help to overcome this problem using a short DNA sequence as a barcode for species delimitation. A fragment of the mitochondrial gene cytochrome c oxidase I (CO1) has been successfully employed as a barcode in the genus Polypedilum. In this study, our aim was to understand the effect of environmental characteristics on Polypedilum diversity and distribution. We examined the CO1 sequence of 68 Polypedilum specimens from rivers with different environmental conditions located in an important biogeographic area of Ecuador. We identified five morphotypes and seven putative species which revealed high genetic variability among them. Polypedilum distribution seems to be affected mainly by two environmental factors, dissolved oxygen, and temperature. Our study is the first evidence of richness within the genus in Ecuador, highlighting the importance of developing taxonomic studies along with ecological assessments to further describe and identify new species. Abstract Chironomids show a wide distribution and can occupy several habitats due to their high adaptive capacity in different freshwater environments. The genus Polypedilum is found along a wide elevational and environmental gradient in the neotropics, and its genetic variability could help to elucidate factors determining its distribution and tolerance to the environmental changes of different species or populations. This study examines the genetic variability of Polypedilum in an important biogeographic area that acts as a geographical barrier of biodiversity at the border of the Choco and Tumbes biomes. We identified five Polypedilum morphotypes using classic taxonomic methods. We examined 68 Polypedilum individuals from eight sampling sites in El Oro Province, Ecuador, analyzing the putative molecular species using the cytochrome c oxidase subunit 1 (CO1) mitochondrial gene fragment. Then, we calculated molecular diversity indices, Haplotype diversity (Hd), and θs and θπ estimators. Seven Polypedilum OTUs were determined from which a high molecular diversity was registered. A CCA was conducted to understand the population composition in relation to environmental characteristics. Results indicated that dissolved oxygen and temperature are the main environmental factors affecting Polypedilum distribution across elevational gradients and between basins.
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Affiliation(s)
- Isabel Ballesteros
- Grupo de investigación Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas (FICA), Universidad de Las Américas, Quito 170503, Ecuador; (I.B.); (M.B.-C.); (G.J.); (B.R.-T.)
- Departamento de Genética, Fisiología y Microbiología, Facultad de Biología, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Mishell Bravo-Castro
- Grupo de investigación Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas (FICA), Universidad de Las Américas, Quito 170503, Ecuador; (I.B.); (M.B.-C.); (G.J.); (B.R.-T.)
| | - Santiago Villamarín-Cortez
- Department of Biology, Program in Ecology, Evolution and Conservation Biology, University of Nevada, Reno, NV 89557, USA;
- Instituto Nacional de Biodiversidad–INABIO, Rumipamba 341 y Av. Shyris, Quito 170135, Ecuador
| | - Gabriela Jijón
- Grupo de investigación Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas (FICA), Universidad de Las Américas, Quito 170503, Ecuador; (I.B.); (M.B.-C.); (G.J.); (B.R.-T.)
| | - Narcís Prat
- Grupo de Investigación Freshwater, Hydrology and Ecology Management (FHEM), Departamento de Ecología, Universidad de Barcelona, 08014 Barcelona, Spain;
| | - Blanca Ríos-Touma
- Grupo de investigación Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas (FICA), Universidad de Las Américas, Quito 170503, Ecuador; (I.B.); (M.B.-C.); (G.J.); (B.R.-T.)
| | - Christian Villamarín
- Grupo de investigación Biodiversidad, Medio Ambiente y Salud (BIOMAS), Facultad de Ingenierías y Ciencias Aplicadas (FICA), Universidad de Las Américas, Quito 170503, Ecuador; (I.B.); (M.B.-C.); (G.J.); (B.R.-T.)
- Correspondence:
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147
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Yan Li, Chang Y, He X, Xu S, Su D. Effect of Environmental Factors on the Spatial Diversity Distribution Patterns of Lycophytes and Ferns in Northeast China. RUSS J ECOL+ 2022. [DOI: 10.1134/s1067413622020096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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148
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Yang Q, Wang S, Zhao C, Nan Z. Risk assessment of trace elements accumulation in soil-herbage systems at varied elevation in subalpine grassland of northern Tibet Plateau. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:27636-27650. [PMID: 34982386 DOI: 10.1007/s11356-021-18366-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 12/23/2021] [Indexed: 06/14/2023]
Abstract
Ecological environment of remote grassland has become a problem in many countries due to mining, tourism, grazing, and other human activities. In this study, a total of 15 pairs of soil-herbage samples were collected in the northeast of the Tibet Plateau to study the relationship between physicochemical properties and content of trace elements in soils at different elevation, and to examine the accumulation and fractionation of heavy metals in soil-herbage systems. In addition, the ecological risk of the subalpine grassland was also assessed. The average concentrations of Hg, As, Cu, Zn, Pb, Cd, Cr, and Mn in soil were higher than their background values of Gansu soil, but the average concentrations of these heavy metals in herbage satisfied Hygienical Standard for Feeds. The speciation analysis of heavy metals in soil indicated that the exchangeable content of heavy metal was very low, except Pb, Cd, and Mn. There was a linear relationship between pH, CaCO3, total phosphorus (TP), organic matter (OM), concentrations of Hg, As, Zn, Pb, Cr, and Mn in soils, dry weight of herbage, and elevation, while there was a quadratic curve trend between Cu, Cd in soils, and elevation. The results of risk assessment showed that there was no obvious ecological risk in the study area.
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Affiliation(s)
- Qianfang Yang
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth Environmental Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou, 730000, China
- Key Laboratory of Western China's Environment Systems (Ministry of Education), College of Earth Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Shengli Wang
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth Environmental Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou, 730000, China.
- Key Laboratory of Western China's Environment Systems (Ministry of Education), College of Earth Environmental Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Cuicui Zhao
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth Environmental Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou, 730000, China
- Key Laboratory of Western China's Environment Systems (Ministry of Education), College of Earth Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Zhongren Nan
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth Environmental Sciences, Lanzhou University, 222 Tianshui South Road, Lanzhou, 730000, China
- Key Laboratory of Western China's Environment Systems (Ministry of Education), College of Earth Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
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149
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Pérez-Matus A, Neubauer P, Shima JS, Rivadeneira MM. Reef Fish Diversity Across the Temperate South Pacific Ocean. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.768707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Patterns of species richness and their structuring forces at multiple scales provide a critical context for research efforts focusing on ecology, evolution, and conservation. Diversity gradients have been demonstrated in tropical reef fish, but corresponding patterns and mechanisms remain poorly understood in temperate regions. We conducted hierarchical (spatially nested) sampling of temperate reef fish faunas across > 140 degrees of longitude in the eastern and western South Pacific Ocean. Our sampling efforts spanned five distinct provinces: the Southeast Australian Shelf (SAS), Northern and Southern New Zealand (N-SNZ), Juan Fernandez and Desventuradas Islands (JFD), and the Warm Temperate Southeastern Pacific (WTPA). We evaluated (i) spatial variation in patterns of species richness and abundance (using Chao 1 index), and distribution of functional diversity (using several functional attributes: max body size, trophic groups, feeding guilds, trophic level, habitat use, gregariousness, and activity patterns) and (ii) scale-dependencies in these patterns. Species richness declined from west to east across the temperate South Pacific, but this pattern was detectable only across larger spatial scales. A functional redundancy index was significantly higher in the western South Australian Shelf at multiple scales, revealing that species contribute in equivalent ways to an ecosystem function such that one species may substitute for another. We also detected that patterns of variation in functional diversity differed from patterns of variation in species richness, and were also dependent on the spatial scale of analysis. Lastly, we identified that species’ traits are not equally distributed among reef fish assemblages, where some provinces are characterized by a distinct functional component within their reef fish assemblages. Planktivorous and schooling species, for instance, dominated the assemblages in the eastern Pacific, which is characterized by higher primary productivity and steep bathymetric slopes favoring these traits. Demersal and pairing behavior traits dominated the reef fish assemblages in western Pacific provinces (SAS, SNZ). We conclude that combining the identifies and species’ traits allow us to disentangle historical, biogeographic and environmental factors that structure reef fish fauna.
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150
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Muvengwi J, Fritz H, Witkowski E. Do large termite mounds effect woody plant phylogenetic diversity and endemism across African savannas? DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Affiliation(s)
- Justice Muvengwi
- Sustainability Research Unit Nelson Mandela University George South Africa
| | - Herve Fritz
- Sustainability Research Unit Nelson Mandela University George South Africa
- LTSER FranceZone Atelier “Hwange,” Hwange National Park Dete Zimbabwe
- CNRS HERD (Hwange Environmental Research Development) Program Dete Zimbabwe
| | - Ed Witkowski
- School of Animal, Plant and Environmental Sciences University of the Witwatersrand Johannesburg South Africa
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