Indicative response of Oxysternon festivum Linné (Coleoptera: Scarabaidae) to vegetation condition in the basin of the Orinoco river, Venezuela

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• 作者：José R. Ferrer-Paris ; Cecilia Lozano…
• 关键词：Biodiversity monitoring ; Environmental niche modelling ; Guiana shield ; Mixture model ; Redundancy analysis
• 刊名：Journal of Insect Conservation
• 出版年：2016
• 出版时间：June 2016
• 年：2016
• 卷：20
• 期：3
• 页码：527-538
• 全文大小：1,362 KB
• 参考文献：Alonso LE, McCullough J, Naskrecki P et al (eds) (2008) A rapid biological assessment of the Konashen community owned conservation area, Southern Guyana. RAP bulletin of biological assessment 51. Conservation International, Arlington
  Anderson RP, Gonzalez IJ (2011) Species-specific tuning increases robustness to sampling bias in models of species distributions: an implementation with Maxent. Ecol Model 222:2796–2811. doi:10.​1016/​j.​ecolmodel.​2011.​04.​011 CrossRef
  Andresen E, Laurance SGW (2007) Possible indirect effects of mammal hunting on dung beetle assemblages in Panama. Biotropica 39:141–146. doi:10.​1111/​j.​1744-7429.​2006.​00239.​x CrossRef
  Arnaud P (2002) Les Coléoptères du Monde, the beetles of the world 28. Phanaeini. Hillside Books, Canterbury
  Bradshaw CJA, Sodhi NS, Brook BW (2009) Tropical turmoil: a biodiversity tragedy in progress. Front Ecol Environ 7:79–87. doi:10.​1890/​070193 CrossRef
  Brambilla M, Ficetola GF (2012) Species distribution models as a tool to estimate reproductive parameters: a case study with a passerine bird species. J Anim Ecol 81:781–787. doi:10.​1111/​j.​1365-2656.​2012.​01970.​x CrossRef PubMed
  Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer, New York
  Buse J, Šlachta M, Sladecek FXJ et al (2015) Relative importance of pasture size and grazing continuity for the long-term conservation of European dung beetles. Biol Conserv 187:112–119. doi:10.​1016/​j.​biocon.​2015.​04.​011 CrossRef
  Carignan V, Villard MA (2002) Selecting indicator species to monitor ecological integrity: a review. Environ Monit Assess 78:45–61. doi:10.​1023/​A:​1016136723584 CrossRef PubMed
  Cayuela L, Golicher D, Newton A et al (2009) Species distribution modeling in the tropics: problems, potentialities, and the role of biological data for effective species conservation. Trop Conserv Sci 2:319–352
  Dale VH, Beyeler SC (2001) Challenges in the development and use of ecological indicators. Ecol Indic 1:3–10. doi:10.​1016/​S1470-160X(01)00003-6 CrossRef
  DeFries RS, Hansen MC, Townshend JRG et al (2000) A new global 1-km dataset of percentage tree cover derived from remote sensing. Glob Chang Biol. doi:10.​1046/​j.​1365-2486.​2000.​00296.​x
  Edmonds W, Zidek J (2004) Revision of the neotropical dung beetle genus Oxysternon (Scarabaeidae: Scarabaeinae: Phanaeini). Folia Heyrovskyana 11:1–58
  Fang H, Liang S, McClaran M et al (2005) Biophysical characterization and management effects on semiarid rangeland observed from landsat ETM + data. IEEE Trans Geosci Remote Sens 43:125–134. doi:10.​1109/​TGRS.​2004.​839813 CrossRef
  Feer F (1999) Effects of dung beetles (Scarabaeidae) on seeds dispersed by howler monkeys (Alouatta seniculus) in the French Guianan rain forest. J Trop Ecol 15:129–142CrossRef
  Feer F (2000) Les Coléoptères coprophages et -nécrophages de la forêt de Guyanne Française: compostion spécifique et structure des peuplements. Ann la Soc Entomol Fr 36:29–43. doi:10.​1017/​CBO9781107415324​.​004
  Feer F, Pincebourde S (2005) Diel flight activity and ecological segregation within an assemblage of tropical forest dung and carrion beetles. J Trop Ecol 21:21–30. doi:10.​1017/​S026646740400205​6 CrossRef
  Ferrer-Paris JR, Rodríguez JP, Good TC et al (2013a) Systematic, large-scale national biodiversity surveys: NeoMaps as a model for tropical regions. Divers Distrib 19:215–231. doi:10.​1111/​ddi.​12012 CrossRef
  Ferrer-Paris JR, Sánchez-Mercado A, Paul Rodríguez J (2013b) Optimización del muestreo de invertebrados tropicales: un ejemplo con escarabajos coprófagos (Coleoptera: Scarabaeinae) en Venezuela. Rev Biol Trop (Int J Trop Biol) 61:89–110
  Filgueiras BKC, Tabarelli M, Leal IR et al (2015) Dung beetle persistence in human-modified landscapes: combining indicator species with anthropogenic land use and fragmentation-related effects. Ecol Indic 55:65–73. doi:10.​1016/​j.​ecolind.​2015.​02.​032 CrossRef
  Gámez J (2004) Phanaeini (Coleoptera: Scarabaeinae) de la cordillera de Los Andes, depresión de Maracaibo y llanos de Venezuela Materiales y Métodos Área de estudio. Memorias la Fund La Salle Ciencias Nat 158:43–60
  Gardner TA, Hernández MIM, Barlow J, Peres CA (2007) Understanding the biodiversity consequences of habitat change: the value of secondary and plantation forests for neotropical dung beetles. J Appl Ecol 45:883–893. doi:10.​1111/​j.​1365-2664.​2008.​01454.​x CrossRef
  Gardner TA, Barlow J, Araujo IS et al (2008) The cost-effectiveness of biodiversity surveys in tropical forests. Ecol Lett 11:139–150. doi:10.​1111/​j.​1461-0248.​2007.​01133.​x CrossRef PubMed
  Gillett CPDT, Gillett MPT, Gillett JEDT, Vaz-de-Mello FZ (2010) Diversity and distribution of the scarab beetle tribe Phanaeini in the northern states of the Brazilian Northeast (Coleoptera: Scarabaeidae: Scarabaeinae). Insecta Mundi 0118:1–19
  Halffter G, Edmonds WD (1982) The nesting behavior of dung beetles (Scarabaeinae): an ecological and evolutive approach. Instituto de Ecología, Mexico
  Halffter G, Matthews EG (1966) The natural history of dung beetles of the subfamily Scarabaeinae. Folia Entomol Mex 12–14:1–312
  Hamel-Leigue AC, Herzog SK, Mann DJ et al (2009) Distribución e Historia Natural de Escarabajos Coprófagos de la Tribu Phaneini (Coleoptera: Scarabaeidae: Scarabaeinae) en Bolivia. Kempffiana 5:43–95
  Hanski I, Cambefort Y (1991) Beetle ecology. Princeton University Press, New Jersey
  Hijmans RJ, Cameron SE, Parra JL et al (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol Int J Clim 25:1965–1978. doi:10.​1002/​joc.​1276 CrossRef
  Hirzel AH, Le Lay G (2008) Habitat suitability modelling and niche theory. J Appl Ecol 45:1372–1381. doi:10.​1111/​j.​1365-2664.​2008.​01524.​x CrossRef
  Holt RD, Lawton JH, Gaston KJ, Blackburn TM (1997) On the relationship between range size and local abundance: back to basics. Oikos 78:183–190. doi:10.​2307/​3545815 CrossRef
  Huete A, Didan K, Miura T et al (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83:195–213CrossRef
  Hunt J, Simmons LW (2001) Status-dependent selection in the dimorphic beetle Onthophagus taurus. Proc R Soc Lond Ser B 268:2409–2414. doi:10.​1098/​rspb.​2001.​1758 CrossRef
  IAvH (2013) Escarabajos coprófagos (Coleoptera:Scarabaeidae:Scarabaeinae) de bosques secos colombianos en la Colección Entomológica del Instituto Alexander von Humboldt. In: Instituto de Investigación de Recursos Biológicos Alexander von Humboldt. http://​ipt.​sibcolombia.​net/​iavh/​resource.​do?​r=​scarabeidae_​iavh . Accessed 13 Sep 2013
  Kerr JT, Ostrovsky M (2003) From space to species: ecological applications for remote sensing. Trends Ecol Evol 18:299–305. doi:10.​1016/​s0169-5347(03)00071-5 CrossRef
  Larsen TH, Lopera A, Forsyth A (2008) Understanding trait-dependent community disassembly: dung beetles, density functions, and forest fragmentation. Conserv Biol 22:1288–1298. doi:10.​1111/​j.​1523-1739.​2008.​00969.​x CrossRef PubMed
  Legendre P, Legendre L (2012) Numerical ecology, 3rd edn. Elsevier, Amsterdam
  Legendre P, Oksanen J, ter Braak CJF (2011) Testing the significance of canonical axes in redundancy analysis. Methods Ecol Evol 2:269–277. doi:10.​1111/​j.​2041-210X.​2010.​00078.​x CrossRef
  Lewis SL, Edwards DP, Galbraith D (2015) Increasing human dominance of tropical forests. Science 349(80):827–832. doi:10.​1126/​science.​aaa9932 CrossRef PubMed
  Lindenmayer DB, Likens GE (2010) The science and application of ecological monitoring. Biol Conserv 143:1317–1328. doi:10.​1016/​j.​biocon.​2010.​02.​013 CrossRef
  Martin TG, Wintle BA, Rhodes JR et al (2005) Zero tolerance ecology: improving ecological inference by modelling the source of zero observations. Ecol Lett 8:1235–1246. doi:10.​1111/​j.​1461-0248.​2005.​00826.​x CrossRef PubMed
  McGeoch MA (1998) The selection, testing and application of terrestrial insects as bioindicators. Biol Rev 73:181–201. doi:10.​1111/​j.​1469-185X.​1997.​tb00029.​x CrossRef
  Medina CA, Lopera-Toro A, Vítolo A, Gill B (2001) Escarabajos Coprófagos (Coleoptera: Scarabaeidae: Scarabaeinae) de Colombia. Biota Colomb 2:131–144
  Mu Q, Zhao M, Running SW (2011) Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens Environ 115:1781–1800CrossRef
  Nichols ES, Gardner TA (2011) Dung beetles as a candidate study taxon in applied biodiversity conservation research. In: Ridsdill-Smith TJ, Simmons LW (eds) Ecology and evolution of dung beetles. Wiley, Oxford, pp 267–292CrossRef
  Nichols E, Spector S, Louzada J et al (2008) Ecological functions and ecosystem services provided by Scarabaeinae dung beetles. Biol Conserv 141:1461–1474. doi:10.​1016/​j.​biocon.​2008.​04.​011 CrossRef
  Nichols E, Gardner TA, Peres CA, Spector S (2009) Co-declining mammals and dung beetles: an impending ecological cascade. Oikos 118:481–487CrossRef
  Nichols L, Uriarte M, Bunker DE et al (2013) Trait-dependent response of dung beetle populations to tropical forest conversion at local and regional scales. Ecology 94:180–189CrossRef PubMed
  Nielsen SE, Johnson CJ, Heard DC, Boyce MS (2005) Can models of presence-absence be used to scale abundance? Two case studies considering extremes in life history. Ecography (Cop) 28:197–208CrossRef
  O’Shea BJ, LE Alonso, Larsen TH (eds) (2011) A rapid biological assessment of the Kwamalasamutu region, Southwestern Suriname. RAP bulletin of biological assessment 63. Conservation International, Arlington
  ORNL DAAC (2012) MODIS subsetted land products, collection 5. In: Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). Oak Ridge. http://​daac.​ornl.​gov/​MODIS/​modis.​html . Accessed 8 Aug 2015
  Pacheco TL, Vaz-De-Mello FZ (2015) Dung beetles of the tribe Phanaeini (Coleoptera: Scarabaeidade: Scarabaeinae) from Roraima state, Northern Brazil: checklist and key to species. Biota Neotrop 15:1–9. doi:10.​1590/​1676-06032015014514 CrossRef
  Philips K, Pretorius E, Scholtz C (2004) A phylogenetic analysis of dung beetles (Scarabaeinae: Scarabaeidae): unrolling an evolutionary history. Invertebr Syst 18:53–88. doi:10.​1071/​IS03030 CrossRef
  Price DL (2009) Phylogeny and biogeography of the dung beetle genus Phanaeus (Coleoptera: Scarabaeidae). Syst Entomol 34:137–150. doi:10.​1111/​j.​1365-3113.​2008.​00443.​x CrossRef
  Radosavljevic A, Anderson RP (2014) Making better Maxent models of species distributions: complexity, overfitting and evaluation. J Biogeogr 41:629–643. doi:10.​1111/​jbi.​12227 CrossRef
  Radtke MG, Da Fonseca CRV, Williamson GB (2010) Dung beetle communities: a neotropical-north temperate comparison. Neotrop Entomol 39:19–27. doi:10.​1590/​s1519-566x201000010000​4 CrossRef PubMed
  Rowland JM, Emlen DJ (2009) Two thresholds, three male forms result in facultative male trimorphism in beetles. Science 323:773–776CrossRef PubMed
  Siddig AAH, Ellison AM, Ochs A et al (2016) How do ecologists select and use indicator species to monitor ecological change? Insights from 14 years of publication in ecological indicators. Ecol Indic 60:223–230. doi:10.​1016/​j.​ecolind.​2015.​06.​036 CrossRef
  Silvius KM, Fragoso JMV (2002) Pulp handling by vertebrate seed dispersers increases palm seed predation by bruchid beetles in the northern Amazon. J Ecol 90:1024–1032. doi:10.​1046/​j.​1365-2745.​2002.​00728.​x CrossRef
  Smallegange IM, Johansson J (2014) Life-history differences favor evolution of male dimorphism in competitive games. Am Nat 183:188–198. doi:10.​1086/​674377 CrossRef PubMed
  Taborsky M, Brockmann HJ (2010) Alternative reproductive tactics and life history phenotypes. In: Kappeler P (ed) Animal behaviour: evolution and mechanisms. Springer, Berlin, pp 537–586CrossRef
  Tjur T (2009) Coefficients of determination in logistic regression models—a new proposal: the coefficient of discrimination. Am Stat 63:366–372. doi:10.​1198/​tast.​2009.​08210 CrossRef
  Tomkins J, Hazel W (2011) Explaining phenotypic diversity: the conditional strategy and threshold trait expression. In: Ridsdill-Smith TJ, Simmons LW (eds) Ecology and evolution of dung beetles. Wiley, Oxford, pp 107–125CrossRef
  VanDerWal J, Shoo LP, Johnson CN, Williams SE (2009) Abundance and the environmental niche: environmental suitability estimated from niche models predicts the upper limit of local abundance. Am Nat 174:282–291. doi:10.​1086/​600087 CrossRef PubMed
  Vaughan IP, Ormerod SJ (2005) The continuing challenges of testing species distribution models. J Appl Ecol 42:720–730. doi:10.​1111/​j.​1365-2664.​2005.​01052.​x CrossRef
  Vaz-De-Mello FZ, Edmonds WD, Ocampo FC, Schoolmeesters P (2011) A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae). Zootaxa 73:1–73
  Wan Z, Zhang Y, Zhang Q, Li Z-L (2004) Quality assessment and validation of the MODIS land surface temperature. Int J Remote Sens 25:261–274CrossRef
  Warren DL, Seifert SN (2011) Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria. Ecol Appl 21:335–342CrossRef PubMed
  Zeileis A, Kleiber C, Jackman S (2008) Regression models for count data in R. J Stat Softw 27:1–25
  Zhang X, Friedl MA, Schaaf CB et al (2003) Monitoring vegetation phenology using MODIS. Remote Sens Environ 84:471–475. doi:10.​1016/​S0034-4257(02)00135-9 CrossRef
  
• 作者单位：José R. Ferrer-Paris (1)
  Cecilia Lozano (1)
  Arlene Cardozo-Urdaneta (1)
  Arianna Thomas Cabianca (2)
  
  1. Centro de Estudios Botánicos y Agroforestales, Instituto Venezolano de Investigaciones Científicas (IVIC), Apartado 20632, Caracas, 1020, Venezuela
  2. Centro de Ecología, Instituto Venezolano de Investigaciones Científicas (IVIC), Apartado 20632, Caracas, 1020, Venezuela
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Animal Systematics/Taxonomy/ Biogeography
  Evolutionary Biology
  Human Genetics
  
• 出版者：Springer Netherlands
• ISSN：1572-9753
• 卷排序：20

文摘

A good indicator species should be easy to sample, identify and measure, and be informative about its ecological context. We analysed data from a nation-wide dung beetle survey in Venezuela in order to assess the indicative response of Oxysternon festivum (Coleoptera: Scarabaeinae) to vegetation and climatic condition in the Orinoco river basin. Our approach consisted of two steps: estimating habitat suitability (HS) from historical records and mean environmental conditions, and analysing four different properties measured during a nationwide survey (occurrence, total abundance, individual body size, and total biomass), in relationship with HS and current environmental covariates measured from remote sensors. O. festivum population status could not be completely explained by historical or current conditions alone, but rather by combinations of both. It was strongly associated with forest vegetation, but abundance, biomass and body size increased under harsher (hotter and drier) climatic conditions. Thus, O. festivum seems to be sensitive to changes in vegetation cover, but tolerant to certain levels of perturbance, where it probably replaces other, more sensitive species. Fully understanding the role of O. festivum requires the analysis of its relationships to other species. We strongly recommend the development of similar protocols for the analysis of other potential ecological indicator species, drawing information from historical and contemporary sources and exploiting the available statistical tools to reveal complex patterns. Given the high diversity of dung beetles, and the growing interest in this group, several candidates will probably be found in most tropical countries. Keywords Biodiversity monitoring Environmental niche modelling Guiana shield Mixture model Redundancy analysis