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Zhao Z, Feng X, Zhang Y, Wang Y, Zhou Z, Liu T. Species richness and endemism patterns of Sternorrhyncha (Insecta, Hemiptera) in China. Zookeys 2023; 1178:279-291. [PMID: 37719337 PMCID: PMC10502486 DOI: 10.3897/zookeys.1178.107007] [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: 05/26/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
One of the main goals in biogeography and ecology is the study of patterns of species diversity and the driving factors in these patterns. However, such studies have not focused on Sternorrhyncha in China, although this region hosts massive species distribution data. Here, based on the 15,450 distribution records of Sternorrhyncha species in China, we analyzed patterns in species richness and endemism at 1° × 1° grid size and determined the effects of environmental variables on these patterns using correlations analysis and the model averaging approach. We found that species richness and endemism of Sternorrhyncha species are unevenly distributed, with high values in the eastern and southeastern coastal regions of mainland China, as well as Taiwan Island. Furthermore, the key factors driving species richness and endemism patterns are inconsistent. Species richness patterns were strongly affected by the normalized difference vegetation index, which is closely related to the feeding habits of Sternorrhyncha, whereas endemism patterns were strongly affected by the elevation range. Therefore, our results indicate that the range size of species should be considered to understand the determinants of species diversity patterns.
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Affiliation(s)
- Zhengxue Zhao
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
| | - Xueli Feng
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
| | - Yubo Zhang
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
| | - Yingjian Wang
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
| | - Zhengxiang Zhou
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
| | - Tianlei Liu
- College of Agriculture, Anshun University, Anshun, ChinaAnshun UniversityAnshunChina
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Ghiotto TC, Barbosa MC, Guerreiro JC, Prado EP, Masson MV, Tavares WS, Wilcken CF, Zanuncio JC, Ferreira-Filho PJ. Ecological importance of lepidopteran defoliators on eucalyptus plantations based in faunistic and natural enemy analyses. BRAZ J BIOL 2023; 83:e268747. [PMID: 37466509 DOI: 10.1590/1519-6984.268747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 03/17/2023] [Indexed: 07/20/2023] Open
Abstract
Areas planted with Eucalyptus urophylla S.T. Blake variety platyphylla F. Muell. (Myrtaceae) expand annually in most regions of Brazil. Many lepidopteran species defoliate this plant, but with damage varying per species. The objective of this study was to identify the pest status of lepidopteran defoliators based in the faunistic analysis of these insects and of their natural enemies on E. urophylla variety platyphylla plantations in a representative producing region of Brazil. Adult moths of lepidopterans and of their natural enemies were captured using a light trap, installed every two weeks, from September 2016 to August 2018. A total of 183, 10, three and 139 lepidopteran species was captured and classified as primary, secondary, without defined importance to eucalypt plants and non-identified with 1,419, seven, 465 and 876 individuals, respectively. Two primary pest species were constants, two accessories and six accidentals and all secondary ones were accidentals. Six primary pest species were common and dominant and four non-dominants. Faunistic indices indicated the main lepidopteran species that should be monitored in pest management programs. Seven hymenopteran species (65 individuals), three dipterans (49 individuals) and two hemipterans (four individuals) were the natural enemies collected using light traps. The monitoring of lepidopteran pests with light traps can contribute to the management and to reduce damage and control costs for these species, besides identifying natural enemies for biological control programs in Eucalyptus plantations.
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Affiliation(s)
- T C Ghiotto
- Universidade Federal de São Carlos - UFSCar, Programa de Pós-graduação em Planejamento e Uso de Recursos Renováveis, Sorocaba, SP, Brasil
| | - M C Barbosa
- Universidade Federal de São Carlos - UFSCar, Departamento de Ciências Ambientais, Sorocaba, SP, Brasil
| | - J C Guerreiro
- Universidade Estadual de Maringá - UEM, Centro de Ciências Biológicas, Departamento de Agronomia, Umuarama, PR, Brasil
| | - E P Prado
- Universidade Estadual Paulista "Júlio de Mesquita Filho"- UNESP, Faculdade de Ciências Agrárias e Tecnológicas, Dracena, SP, Brasil
| | | | - W S Tavares
- Asia Pacific Resources International Holdings Ltd. - APRIL, PT. Riau Andalan Pulp and Paper - RAPP, Pangkalan Kerinci, Riau, Sumatra, Indonesia
| | - C F Wilcken
- Universidade Estadual Paulista "Júlio de Mesquita Filho"- UNESP, Departamento de Proteção Vegetal, Botucatu, SP, Brasil
| | - J C Zanuncio
- Universidade Federal de Viçosa - UFV, Instituto de Biotecnologia Aplicada à Agropecuária - BIOAGRO, Departamento de Entomologia, Viçosa, MG, Brasil
| | - P J Ferreira-Filho
- Universidade Federal de São Carlos - UFSCar, Programa de Pós-graduação em Planejamento e Uso de Recursos Renováveis, Sorocaba, SP, Brasil
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Galvis-Martinez CA, Moo-Llanes DA, Altamiranda-Saavedra M. Similarity but not equivalence: Ecological niche comparison between sandflies from the Pleistocene and future scenarios in Central and South America. MEDICAL AND VETERINARY ENTOMOLOGY 2023; 37:111-123. [PMID: 36315035 DOI: 10.1111/mve.12615] [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: 03/07/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Sandfly species (Diptera: Psychodidae) are suspected or proven vectors of Leishmania spp. in the American region. Understanding niche conservatism (NC) in insect vectors allows an understanding of constraints on adaptive responses, and thus implications for disease ecology. Therefore, in this study, the authors evaluated NC in three vector species of leishmaniasis (Lutzomyia gomezi, Psathyromyia shannoni and Pintomyia ovallesi) in Central and South America. For this, the authors performed niche identity and similarity testing through paired comparisons in ENMTools and niche overlap in Niche Analyst. The authors found that species niches were more similar to each other than if the points had been randomly extracted, and they also found extensive similarity between Pa. shannoni and Lu. gomezi niches and in Pa. shannoni niches over different timescales. The authors suggest Pa. shannoni as a priority species due to fundamental niche similarity with phylogenetically related species and also its extensive evolutionary history and ecological plasticity that could affect the emergence and resurgence of leishmaniasis in areas endemic by this vector.
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Affiliation(s)
- Carlos A Galvis-Martinez
- Programa de Biología, Universidad de Pamplona, Grupo de investigación en Ecología y Biogeografía (GIEB), Pamplona, Norte de Santander, Colombia
| | - David A Moo-Llanes
- Centro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública, Tapachula, Chiapas, Mexico
| | - Mariano Altamiranda-Saavedra
- Grupo de Investigación Bioforense, Tecnológico de Antioquia Institución Universitaria, Medellín, Antioquia, Colombia
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Zhao Z, Feng X, Zhang Y, Wang Y, Zhou Z. Species richness, endemism, and conservation of wild Rhododendron in China. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
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Cui M, Wu Y, Javal M, Giguère I, Roux G, Andres JA, Keena M, Shi J, Wang B, Braswell E, Pfister SE, Hamelin R, Roe A, Porth I. Genome-scale phylogeography resolves the native population structure of the Asian longhorned beetle, Anoplophora glabripennis (Motschulsky). Evol Appl 2022; 15:934-953. [PMID: 35782014 PMCID: PMC9234632 DOI: 10.1111/eva.13381] [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: 08/23/2021] [Revised: 02/12/2022] [Accepted: 03/21/2022] [Indexed: 11/26/2022] Open
Abstract
Human-assisted movement has allowed the Asian longhorned beetle (ALB, Anoplophora glabripennis (Motschulsky)) to spread beyond its native range and become a globally regulated invasive pest. Within its native range of China and the Korean peninsula, human-mediated dispersal has also caused cryptic translocation of insects, resulting in population structure complexity. Previous studies used genetic methods to detangle this complexity but were unable to clearly delimit native populations which is needed to develop downstream biosurveillance tools. We used genome-wide markers to define historical population structure in native ALB populations and contemporary movement between regions. We used genotyping-by-sequencing to generate 6102 single-nucleotide polymorphisms (SNPs) and amplicon sequencing to genotype 53 microsatellites. In total, we genotyped 712 individuals from ALB's native distribution. We observed six distinct population clusters among native ALB populations, with a clear delineation between northern and southern groups. Most of the individuals from South Korea were distinct from populations in China. Our results also indicate historical divergence among populations and suggest limited large-scale admixture, but we did identify a restricted number of cases of contemporary movement between regions. We identified SNPs under selection and describe a clinal allele frequency pattern in a missense variant associated with glycerol kinase, an important enzyme in the utilization of an insect cryoprotectant. We further demonstrate that small numbers of SNPs can assign individuals to geographic regions with high probability, paving the way for novel ALB biosurveillance tools.
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Affiliation(s)
- Mingming Cui
- Institut de Biologie Intégrative et des SystèmesUniversité LavalQuébecQuébecCanada
- Département des sciences du bois et de la forêtUniversité LavalQuébecQuébecCanada
| | - Yunke Wu
- Forest Pest Methods LaboratoryPlant Protection and Quarantine Science and TechnologyAnimal and Plant Health Inspection ServiceUnited States Department of AgricultureBuzzards BayMassachusettsUSA
| | - Marion Javal
- Centre d'Écologie Fonctionnelle et ÉvolutiveUniversité MontpellierMontpellierFrance
| | - Isabelle Giguère
- Institut de Biologie Intégrative et des SystèmesUniversité LavalQuébecQuébecCanada
- Département des sciences du bois et de la forêtUniversité LavalQuébecQuébecCanada
| | - Géraldine Roux
- Institut National de la Recherche AgronomiqueUR633 Zoologie ForestièreOrléansFrance
- COSTUniversité d’OrléansOrléansFrance
| | - Jose A. Andres
- Department of Ecology and Evolutionary BiologyCornell UniversityIthacaNew YorkUSA
| | - Melody Keena
- United States Department of AgricultureForest ServiceNorthern Research StationHamdenConnecticutUSA
| | - Juan Shi
- Key Laboratory for Silviculture and Conservation of Ministry of EducationBeijing Forestry UniversityBeijingChina
| | - Baode Wang
- Forest Pest Methods LaboratoryPlant Protection and Quarantine Science and TechnologyAnimal and Plant Health Inspection ServiceUnited States Department of AgricultureBuzzards BayMassachusettsUSA
| | - Evan Braswell
- Insect Management and Molecular Diagnostics LaboratoryPlant Protection and Quarantine Science and Technology, Animal and Plant Health Inspection ServiceUnited States Department of AgricultureEdinburgTexasUSA
| | - Scott E. Pfister
- Forest Pest Methods LaboratoryPlant Protection and Quarantine Science and TechnologyAnimal and Plant Health Inspection ServiceUnited States Department of AgricultureBuzzards BayMassachusettsUSA
| | - Richard Hamelin
- Institut de Biologie Intégrative et des SystèmesUniversité LavalQuébecQuébecCanada
- Département des sciences du bois et de la forêtUniversité LavalQuébecQuébecCanada
- Department of Forest and Conservation SciencesThe University of British ColumbiaVancouverBritish ColumbiaCanada
| | - Amanda Roe
- Canadian Forest ServiceGreat Lakes Forestry CentreNatural Resources CanadaSault Ste. MarieOntarioCanada
| | - Ilga Porth
- Institut de Biologie Intégrative et des SystèmesUniversité LavalQuébecQuébecCanada
- Département des sciences du bois et de la forêtUniversité LavalQuébecQuébecCanada
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Zhao ZX, Yang L, Long JK, Chang ZM, Zhou ZX, Zhi Y, Yang LJ, Li HX, Sui YJ, Gong N, Wang XY, Chen XS. Testing Seven Hypotheses to Determine What Explains the Current Planthopper (Fulgoridae) Geographical and Species Richness Patterns in China. INSECTS 2020; 11:E892. [PMID: 33348760 PMCID: PMC7766541 DOI: 10.3390/insects11120892] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/15/2020] [Accepted: 12/15/2020] [Indexed: 12/02/2022]
Abstract
Although many hypotheses have been proposed to understand the mechanisms underlying large-scale richness patterns, the environmental determinants are still poorly understood, particularly in insects. Here, we tested the relative contributions of seven hypotheses previously proposed to explain planthopper richness patterns in China. The richness patterns were visualized at a 1° × 1° grid size, using 14,722 distribution records for 1335 planthoppers. We used ordinary least squares and spatial error simultaneous autoregressive models to examine the relationships between richness and single environmental variables and employed model averaging to assess the environmental variable relative roles. Species richness was unevenly distributed, with high species numbers occurring in the central and southern mountainous areas. The mean annual temperature change since the Last Glacial Maximum was the most important factor for richness patterns, followed by mean annual temperature and net primary productivity. Therefore, historical climate stability, ambient energy, and productivity hypotheses were supported strongly, but orogenic processes and geological isolation may also play a vital role.
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Affiliation(s)
- Zheng-Xue Zhao
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Lin Yang
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Jian-Kun Long
- College of Animal Science, Guizhou University, Guiyang 550025, China; (J.-K.L.); (Z.-M.C.)
| | - Zhi-Min Chang
- College of Animal Science, Guizhou University, Guiyang 550025, China; (J.-K.L.); (Z.-M.C.)
| | - Zheng-Xiang Zhou
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Yan Zhi
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Liang-Jing Yang
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Hong-Xing Li
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Yong-Jin Sui
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Nian Gong
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Xiao-Ya Wang
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
| | - Xiang-Sheng Chen
- Institute of Entomology, Guizhou University, Guiyang 550025, China; (Z.-X.Z.); (L.Y.); (Z.-X.Z.); (Y.Z.); (L.-J.Y.); (H.-X.L.); (Y.-J.S.); (N.G.); (X.-Y.W.)
- Provincial Special Key Laboratory for Development and Utilization of Insect Resources of Guizhou, Guizhou University, Guiyang 550025, China
- Guizhou Key Laboratory for Agricultural Pest Management of Mountainous Region, Guizhou University, Guiyang 550025, China
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Closely related species show species-specific environmental responses and different spatial conservation needs: Prionailurus cats in the Indian subcontinent. Sci Rep 2020; 10:18705. [PMID: 33127966 PMCID: PMC7599212 DOI: 10.1038/s41598-020-74684-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 10/05/2020] [Indexed: 11/09/2022] Open
Abstract
Phylogenetically closely related species are often assumed to have similar responses to environmental conditions, but species-specific responses have also been described. These two scenarios may have different conservation implications. We tested these two hypotheses for Prionailurus cats (P. rubiginosus, P. bengalensis, P. viverrinus) in the Indian subcontinent and show its implications on species current protected area coverage and climatic suitability trends through time. We fitted ecological niche models with current environmental conditions and calculated niche overlap. In addition, we developed a model for the Jungle Cat Felis chaus to compare species responses and niche overlap estimates within Prionailurus with those for a related sympatric small cat species. Then we estimated the proportion of current suitable environment covered by protected area and projected climatic models from past (last interglacial) to future (2070; RCP4.5 and RCP8.5) conditions to show implications on population management and conservation. The hypothesis of a similar response and niche overlap among closely related species is not supported. Protected area coverage was lowest for P. viverrinus (mean = 0.071, SD = 0.012) and highest for P. bengalensis (mean = 0.088, SD = 0.006). In addition, the proportion of the subcontinent with suitable climate varied through time and was species-specific. For P. bengalensis, climatic suitability shrunk since at least the mid-Holocene, a trend that can be intensified by human-induced climate warming. Concerning P. viverrinus, most predictions show stable future climatic suitability, but a few indicated potential loss. Climatic suitability for P. rubiginous was predicted to remain stable but the species exhibited a negative association with intensive agriculture. Similar responses to environmental change by phylogenetically closely related species should not be assumed and have implications on protected area coverage and natural trends of species climatic suitability over time. This should be taken into account during conservation and management actions.
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