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Biodiversity and Conservation

01-03-2024 | Original Research

The composition and phenology of butterflies are determined by their functional trait in Indian tropical dry forests

Authors: Anirban Mahata, Ayusmita Naik, Sharat Kumar Palita

Published in: Biodiversity and Conservation

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Abstract

To understand the effects of local landscape factors on functional species composition and phenology of butterflies across multiple spatial scales, a study was carried out in a tropical dry forest of the northern highlands of the Eastern Ghats of India from November 2016 to October 2017. A total of 3343 individuals of 88 species of butterflies were recorded, under 62 genera, 18 subfamilies, and six families in three different forest types (open, riparian, dense). Butterfly species richness showed no significant deviations, but diversity patterns varied across transects. Beta diversity indicated differences in common species populations, likely due to uneven resource distribution in study site forests. The contribution of β transect to gamma diversity was greater than that of β elevation, except for specialists. Specialists were favoured by landscape attributes over forest type. Butterfly abundance peaks in April for open and dense forests and May for riparian forests. Results show variation in seasonal patterns across different forest types (F = 15.92, P < 0.001). Generalists and versatilists are more prevalent in April and February, while specialists are more abundant from October to November. Relative humidity, shrub density, and temperature were the major contributors (40.2%) for richness, whereas relative humidity and shrub density contributed 26.3% for abundance. The relative humidity was predominant over temperature for species richness and is a major predictor for assemblages of generalist species. Elevation-dependent resource utilization is crucial for habitat specialists, underscoring the significance of spatial elevation zones in effective conservation planning strategies.

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Acharya BK, Vijayan L (2015) Butterfly diversity along the elevation gradient of Eastern Himalaya, India. Ecol Res 30:909–919. https://doi.org/10.1007/s11284-015-1292-0CrossRef

Adhikary PP, Madhu M, Dash CJ et al (2015) Prioritization of traditional tribal field crops based on RWUE in Koraput district of Odisha. Indian J Tradit Knowl 1:88–95MATH

Adhikary PP, Barman D, Madhu M et al (2019) Land use and land cover dynamics with special emphasis on shifting cultivation in Eastern Ghats Highlands of India using remote sensing data and GIS. Environ Monit Assess 191:315. https://doi.org/10.1007/s10661-019-7447-7CrossRefPubMedMATH

Aerts R, Honnay O (2011) Forest restoration, biodiversity and ecosystem functioning. BMC Ecol 11:1–21. https://doi.org/10.1186/1472-6785-11-29CrossRefMATH

Balaguru B, John Britto SJS, Nagamurugan N et al (2006) Identifying conservation priority zones for effective management of tropical forests in Eastern Ghats of India. Biodivers Conserv 15:1529–1543. https://doi.org/10.1007/s10531-004-6678-1CrossRef

Barlow J, Overal WL, Araujo IS et al (2007) The value of primary, secondary and plantation forests for fruit-feeding butterflies in the Brazilian Amazon. J Appl Ecol 44:1001–1012. https://doi.org/10.1111/j.1365-2664.2007.01347.xCrossRef

Barlow J, Lennox GD, Ferreira J et al (2016) Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation. Nature 535:144–147. https://doi.org/10.1038/nature18326CrossRefPubMedADS

Bawa KS (1990) Plant-pollinator interactions in tropical rain forests. Annu Rev Ecol Syst 21:399–422. https://doi.org/10.1146/annurev.es.21.110190.002151CrossRefMATH

Bhardwaj M, Uniyal VP, Sanyal AK, Singh AP (2012) Butterfly communities along an elevational gradient in the Tons valley, Western Himalayas: Implications of rapid assessment for insect conservation. J Asia Pac Entomol 15:207–217. https://doi.org/10.1016/j.aspen.2011.12.003CrossRef

Bhaumik V, Kunte K (2018) Female butterflies modulate investment in reproduction and flight in response to monsoon-driven migrations. Oikos 127:285–296. https://doi.org/10.1111/oik.04593CrossRefMATHADS

Brito MM, Ribeiro DB, Raniero M et al (2014) Functional composition and phenology of fruit-feeding butterflies in a fragmented landscape: variation of seasonality between habitat specialists. J Insect Conserv 18:547–560. https://doi.org/10.1007/s10841-014-9650-8CrossRef

Brückmann SV, Krauss J, Steffan-Dewenter I (2010) Butterfly and plant specialists suffer from reduced connectivity in fragmented landscapes. J Appl Ecol 47:799–809. https://doi.org/10.1111/j.1365-2664.2010.01828.xCrossRefMATH

Bubesh Guptha M, Kishore S, Sivarama Prasad NV (2014) Butterflies diversity of Seshachalam biosphere reserve, Eastern Ghats, Andhra Pradesh, India. Discov Life 6:3–17

Čelik T, Bräu M, Bonelli S et al (2015) Winter-green host-plants, litter quantity and vegetation structure are key determinants of habitat quality for Coenonympha oedippus in Europe. J Insect Conserv 19:359–375CrossRefMATH

Champion F, Seth S (1968) A revised survey of the forest types of India. Govt. of India, DelhiMATH

Chen H, Athar R, Zheng G, Williams HN (2011) Prey bacteria shape the community structure of their predators. ISME J 5:1314–1322. https://doi.org/10.1038/ismej.2011.4CrossRefPubMedPubMedCentralMATH

Cleary DFR, Genner MJ (2004) Changes in rain forest butterfly diversity following major ENSO-induced fires in Borneo. Glob Ecol Biogeogr 13:129–140. https://doi.org/10.1111/j.1466-882X.2004.00074.xCrossRef

Colwell RK, Elsensohn JE (2014) EstimateS turns 20: statistical estimation of species richness and shared species from samples, with non-parametric extrapolation. Ecography 37:609–613. https://doi.org/10.1111/ecog.00814CrossRefADS

Colwell RK, Chang XM, Chang J (2004) Interpolating, extrapolating, and comparing incidence-based species accumulation curves. Ecology 85:2717–2727. https://doi.org/10.1890/03-0557CrossRefMATH

Con VQ, Lien VV (2015) Seasonal dynamics of butterfly (Lepidoptera, Rhopalocera) abundance in the Tropical Rain Forest of Vietnam. Entomol Rev 95:578–582. https://doi.org/10.1134/S0013873815050024CrossRef

Cormont A, Malinowska AH, Kostenko O et al (2011) Effect of local weather on butterfly flight behaviour, movement, and colonization: significance for dispersal under climate change. Biodivers Conserv 20:483–503. https://doi.org/10.1007/s10531-010-9960-4CrossRef

Dapporto L, Dennis RLH (2013) The generalist–specialist continuum: testing predictions for distribution and trends in British butterflies. Biol Conserv 157:229–236. https://doi.org/10.1016/j.biocon.2012.09.016CrossRefMATH

Dash CJ, Adhikary PP, Madhu M et al (2017) Assessment of spatial changes in forest cover and deforestation rate in Eastern Ghats Highlands of Odisha, India. J Environ Biol 39:196–203. https://doi.org/10.22438/jeb/39/2/MRN-429CrossRefMATH

de Arce Crespo JI, Gutiérrez D (2011) Altitudinal trends in the phenology of butterflies in a mountainous area in central spain. Eur J Entomol 108:651–658. https://doi.org/10.14411/eje.2011.083CrossRefMATH

de Vries PJ, Walla TR (1999) Species diversity in spatial and temporal dimensions of fruit-feeding butterflies from two Ecuadorian rainforests. Biol J Linn Soc 68:333–353. https://doi.org/10.1006/bijl.1999.0319CrossRefMATH

Dennis RLH (2010) A resourse-based habitat view for conserevation: butterflies in the British landscape. Wiley, HobokenCrossRefMATH

Dennis RLH, Shreeve TG, Van Dyck H (2006) Habitats and resources: the need for a resource-based definition to conserve butterflies. Biodivers Conserv 15:1943–1966. https://doi.org/10.1007/s10531-005-4314-3CrossRef

Dirzo R, Raven PH (2003) Global state of biodiversity and loss. Annu Rev Environ Resour 28:137–167. https://doi.org/10.1146/annurev.energy.28.050302.105532CrossRefMATH

Dirzo R, Young HS, Galetti M et al (2014) Defaunation in the anthropocene. Science 345:401–406. https://doi.org/10.1126/science.1251817CrossRefPubMedADS

Dolia J, Devy MS, Aravind NA, Kumar A (2008) Adult butterfly communities in coffee plantations around a protected area in the Western Ghats, India. Anim Conserv 11:26–34. https://doi.org/10.1111/j.1469-1795.2007.00143.xCrossRef

Ehrlich PR, Raven PH (1964) Butterflies and plants: a study in coevolution. Evolution 18:586–608CrossRefMATH

FAO (2020) Koraput traditional agriculture. http://www.fao.org/giahs/giahsaroundtheworld/designated-sites/asia-and-the-pacific/koraput-traditional-agriculture/detailed-information/en/. Accessed 17 Jul 2020

Fleishman E, Murphy DD (2009) A realistic assessment of the indicator potential of butterflies and other charismatic taxonomic groups. Conserv Biol 23:1109–1116. https://doi.org/10.1111/j.1523-1739.2009.01246.xCrossRefPubMedMATH

FSI (1989) Forest resources of Koraput District of Odisha State. FSI Central Zone, Nagpur

FSI (2002) The manual of instructions for field inventory. FSI, Dehraun

Grøtan V, Lande R, Chacon IA, Devries PJ (2014) Seasonal cycles of diversity and similarity in a Central American rainforest butterfly community. Ecography 37:509–516. https://doi.org/10.1111/ecog.00635CrossRefMATHADS

Gupta H, Tiwari C, Diwakar S (2019) Butterfly diversity and effect of temperature and humidity gradients on butterfly assemblages in a sub-tropical urban landscape. Trop Ecol 60:150–158. https://doi.org/10.1007/s42965-019-00019-yCrossRefMATH

Habel JC, Teucher M, Gros P et al (2021) Land use and climate change affects butterfly diversity across northern Austria. Landsc Ecol 36:1741–1754. https://doi.org/10.1007/s10980-021-01242-6CrossRefMATH

Hair JF, Black WC, Babin BJ et al (2019) Multivariate data analysis. Cengage Learning, United KingdomMATH

Hamer KC, Hill JK, Benedick S et al (2006) Diversity and ecology of carrion- and fruit-feeding butterflies in Bornean rain forest. J Trop Ecol 22:25–33. https://doi.org/10.1017/S0266467405002750CrossRef

Harrison S, Spasojevic MJ, Li D (2020) Climate and plant community diversity in space and time. Proc Natl Acad Sci USA 117:4464–4470. https://doi.org/10.1073/pnas.1921724117CrossRefPubMedPubMedCentralMATHADS

Kehimkar I (2008) The book of Indian butterflies. Bombay Natural History Society, Mumbai

Kharouba HM, Paquette SR, Kerr JT, Vellend M (2014) Predicting the sensitivity of butterfly phenology to temperature over the past century. Glob Chang Biol 20:504–514. https://doi.org/10.1111/gcb.12429CrossRefPubMedADS

Kunte KJ (1997) Seasonal patterns in butterfly abundance and species diversity in four tropical habitats in northern Western Ghats. J Biosci 22:593–603. https://doi.org/10.1007/BF02703397CrossRefMATH

Kunte K (2000) Butterflies of Peninsular India. Universities Press (India) Private Limited, HyderabadMATH

Kunte K, Basu DN, Girish Kumar GS (2020) Taxonomy, systematics, and biology of Indian butterflies in the 21st century. In: Ramani S, Mohanraj P, Yeshwanth HM (eds) Indian insects: diversity and science. CRC Press, United Kingdom, pp 275–304MATH

Lande R (1996) Statistics and partitioning of species diversity, and similarity among multiple communities. Oikos 76:5. https://doi.org/10.2307/3545743CrossRefMATHADS

Lesica P, Kittelson PM (2010) Precipitation and temperature are associated with advanced flowering phenology in a semi-arid grassland. J Arid Environ 74:1013–1017. https://doi.org/10.1016/j.jaridenv.2010.02.002CrossRefMATH

Lewis OT, Senior MJM (2011) Assessing conservation status and trends for the world’s butterflies: the sampled red list index approach. J Insect Conserv 15:121–128. https://doi.org/10.1007/s10841-010-9329-8CrossRefMATH

Magurran AE (2004) Measuring biological diversity. Blackwell Science Ltd, United KingdomMATH

Mahata A, Palita SK (2023) Butterfly diversity in Koraput district of Odisha, Eastern Ghats, India. Trop Ecol 64:146–166. https://doi.org/10.1007/s42965-022-00250-0CrossRef

Mahata A, Jena SK, Palita SK (2019a) First record in 129 years of the Tamil Treebrown Lethe drypetis todara Moore, 1881 (Lepidoptera: Nymphalidae: Satyrinae) from Odisha, India by fruit-baiting. J Threat Taxa 11:15047–15052. https://doi.org/10.11609/jott.4485.11.15.15047-15052CrossRef

Mahata A, Samal KT, Palita SK (2019b) Butterfly diversity in agroforestry plantations of Eastern Ghats of southern Odisha, India. Agrofor Syst 93:1423–1438. https://doi.org/10.1007/s10457-018-0258-yCrossRef

Mahata A, Panda RM, Dash P et al (2023) Microclimate and vegetation structure significantly affect butterfly assemblages in a tropical dry forest. Climate 11:220. https://doi.org/10.3390/cli11110220CrossRefMATH

Mahon MB, Penn HJ, Campbell KU, Crist TO (2023) Differential patterns of taxonomic and functional diversity for two groups of canopy arthropods across spatial scales. Ecosphere. https://doi.org/10.1002/ecs2.4700CrossRef

Majumdar N (1988) Collection of Birds from Koraput District, Orissa, India. Zoological Survey of India, CalcuttaMATH

Malhi Y (2012) The productivity, metabolism and carbon cycle of tropical forest vegetation. J Ecol 100:65–75. https://doi.org/10.1111/j.1365-2745.2011.01916.xCrossRefMATH

Mehdi A (2010) Climate change and biodiversity: India’s perspective and legal framework. J Indian Law Inst 52:343–365

Menéndez R, González-Megías A, Collingham Y et al (2007) Direct and indirect effects of climate and habitat factors on butterfly diversity. Ecology 88:605–611. https://doi.org/10.1890/06-0539CrossRefPubMed

Misra MK, Das PK, Dash SS (2009) Phytodiversity and useful plants of Eastern Ghats of Orissa (A special reference to the Koraput region). International Book Distributors, Dehra DunMATH

MoEF (2014) India’s Fifth national report to the convention on biological diversity. MoEF, New Delhi

Montllor CB, Bernays EA (1993) Invertebrate predators and caterpillar foraging. In: Stamp NE, Casey TM (eds) Caterpillars: ecological and evolutionary constraints on foraging. Routledge Chapman & Hall, New York, pp 170–202MATH

Montoya D, Yallop ML, Memmott J (2015) Functional group diversity increases with modularity in complex food webs. Nat Commun 6:7379. https://doi.org/10.1038/ncomms8379CrossRefPubMedMATHADS

Morellato LPC, Alberti LF, Hudson IL (2010) Applications of circular statistics in plant phenology: a case studies approach. In: Hudson IL, Keatley MR (eds) Phenological Research. Springer, Dordrecht, pp 339–359CrossRef

Mukherjee S, Banerjee S, Saha GK et al (2015) Butterfly diversity in Kolkata, India: an appraisal for conservation management. J Asia-Pacific Biodivers 8:210–221. https://doi.org/10.1016/j.japb.2015.08.001CrossRefMATH

Murphy DD (1983) Nectar sources as constraints on the distribution of egg masses by the Checkerspot butterfly, Euphydryas chalcedona (Lepidoptera: Nymphalidae). Environ Entomol 12:463–466. https://doi.org/10.1093/ee/12.2.463CrossRef

Myers SS, Smith MR, Guth S et al (2017) Climate change and global food systems: potential impacts on food security and undernutrition. Annu Rev Public Health 38:259–277. https://doi.org/10.1146/annurev-publhealth-031816-044356CrossRefPubMedMATH

Navarro-Cano JA, Karlsson B, Posledovich D et al (2015) Climate change, phenology, and butterfly host plant utilization. Ambio 44:78–88. https://doi.org/10.1007/s13280-014-0602-zCrossRefPubMedCentral

NCSS (2018) NCSS 12 Statistical Software. http://ncss.com/software/ncss. Accessed 05 Nov 2018

Novotny V, Basset Y (1998) Seasonality of sap-sucking insects (Auchenorrhyncha, Hemiptera) feeding on Ficus (Moraceae) in a Lowland Rain Forest in New Guinea. Oecologia 115:514–522CrossRefPubMedADS

Ohwaki A, Maeda S, Kitahara M, Nakano T (2017) Associations between canopy openness, butterfly resources, butterfly richness and abundance along forest trails in planted and natural forests. Eur J Entomol 114:533–545. https://doi.org/10.14411/eje.2017.068CrossRef

Pierce NE, Elgar MA (1985) The influence of ants on host plant selection by Jalmenus evagoras, a myrmecophilous lycaenid butterfly. Behav Ecol Sociobiol 16:209–222. https://doi.org/10.1007/BF00310983CrossRefMATH

Pollard E (1977) A method for assessing changes in the abundance of butterflies. Biol Conserv 12:115–134. https://doi.org/10.1016/0006-3207(77)90065-9CrossRefMATH

Pollard E (1988) Temperature, rainfall and butterfly numbers. J Appl Ecol 25:819–828. https://doi.org/10.2307/2403748CrossRefMATH

Pollard E, Yates T (1993) Monitoring butterflies for ecology and conservation. Chapman & Hall, LondonMATH

Pozo C, Armando L-M, Llorente-Bousquets J et al (2008) Seasonality and phenology of the butterflies (Lepidoptera: Papilionoidea and Hesperioidea) of Mexico’s Calakmul Region. Florida Entomol 91:407–422CrossRef

Prasanna Kumar V, Harinath Reddy P, Venkata Ramana SP (2011) Climate effects and habitat destruction on butterfly diversity in the Eastern Ghats of southern Andhra Pradesh. The Ecoscan 1:139–143MATH

Ramachandran RM, Roy PS, Chakravarthi V et al (2018) Long-term land use and land cover changes (1920–2015) in Eastern Ghats, India: pattern of dynamics and challenges in plant species conservation. Ecol Indic 85:21–36. https://doi.org/10.1016/j.ecolind.2017.10.012CrossRef

Ramírez F, Kallarackal J (2018) Tree pollination under global climate change. Springer, ChamCrossRef

Raven PH (1988) Our diminishing tropical forests. In: Wilson EO (ed) Biodiversity. National Academy Press, Washington, pp 119–122MATH

Rawat GS (1997) Conservation status of forests and wildlife in the Eastern Ghats, India. Environ Conserv 24:307–315. https://doi.org/10.1017/S0376892997000416CrossRefMATH

Reddy CS, Jha CS, Dadhwal VK (2013) Assessment and monitoring of long-term forest cover changes in Odisha, India using remote sensing and GIS. Environ Monit Assess 185:4399–4415. https://doi.org/10.1007/s10661-012-2877-5CrossRefPubMedMATH

Ribeiro DB, Prado PI, Brown KS, Freitas AVL (2008) Additive partitioning of butterfly diversity in a fragmented landscape: importance of scale and implications for conservation. Divers Distrib 14:961–968. https://doi.org/10.1111/j.1472-4642.2008.00505.xCrossRefMATH

Richmond CE, Breitburg DL, Rose KA (2005) The role of environmental generalist species in ecosystem function. Ecol Modell 188:279–295. https://doi.org/10.1016/j.ecolmodel.2005.03.002CrossRefMATH

Ries L, Debinski DM (2001) Butterfly responses to habitat edges in the highly fragmented prairies of Central Iowa. J Anim Ecol 70:840–852. https://doi.org/10.1046/j.0021-8790.2001.00546.xCrossRefMATH

Rosin ZM, Myczko Ł, Skórka P et al (2012) Butterfly responses to environmental factors in fragmented calcareous grasslands. J Insect Conserv 16:321–329. https://doi.org/10.1007/s10841-011-9416-5CrossRef

Roy DB, Sparks TH (2000) Phenology of British butterflies and climate change. Glob Chang Biol 6:407–416. https://doi.org/10.1046/j.1365-2486.2000.00322.xCrossRefMATHADS

Roy DB, Rothery P, Moss D et al (2001) Butterfly numbers and weather: predicting historical trends in abundance and the future effects of climate change. J Anim Ecol 70:201–217. https://doi.org/10.1046/j.1365-2656.2001.00480.xCrossRefMATH

Sánchez-Bayo F, Wyckhuys KAG (2019) Worldwide decline of the entomofauna: a review of its drivers. Biol Conserv 232:8–27. https://doi.org/10.1016/j.biocon.2019.01.020CrossRef

Sethy PGS, Sahu P, Siddiqi SZ (2007) Butterfly Fauna in similipal biosphere reseve, Mayurbhanj, North Orissa, India. Indian for 133:1403–1410

Soga M, Koike S (2013) Patch isolation only matters for specialist butterflies but patch area affects both specialist and generalist species. J for Res 18:270–278. https://doi.org/10.1007/s10310-012-0349-yCrossRefMATH

Sonnay V, Pellissier L, Pradervand JN et al (2014) The determinants of alpine butterfly richness and composition vary according to the ecological traits of species. bioRxiv. https://doi.org/10.1101/002147CrossRefMATH

Stanton ML (1982) Searching in a patchy environment: foodplant selection by Colias p. eriphyle butterflies. Ecology 63:839–853. https://doi.org/10.2307/1936803CrossRefMATH

Stefanescu C, Penuelas J, Filella I (2003) Effects of climatic change on the phenology of butterflies in the northwest Mediterranean Basin. Glob Chang Biol 9:1494–1506. https://doi.org/10.1046/j.1365-2486.2003.00682.xCrossRefADS

Stefanescu C, Carnicer J, Peñuelas J (2011) Determinants of species richness in generalist and specialist Mediterranean butterflies: the negative synergistic forces of climate and habitat change. Ecography 34:353–363. https://doi.org/10.1111/j.1600-0587.2010.06264.xCrossRefADS

Sudhakar Reddy C, Jha CS, Dadhwal VK et al (2016) Quantification and monitoring of deforestation in India over eight decades (1930–2013). Biodivers Conserv 25:93–116. https://doi.org/10.1007/s10531-015-1033-2CrossRefMATH

Sutton SL, Collins NM (1991) The conservation of insects and their habitats. Academic Press, San DiegoMATH

Swengel AB (1998) Comparisons of butterfly richness and abundance measures in prairie and barrens. Biodivers Conserv 7:1639–1659. https://doi.org/10.1023/A:1008835107561CrossRefMATH

Tichý L (2016) Field test of canopy cover estimation by hemispherical photographs taken with a smartphone. J Veg Sci 27:427–435. https://doi.org/10.1111/jvs.12350CrossRefMATH

Varshney RK, Smetacek P (2015) A synoptic catalogue of the butterflies of India. Butterfly Research Centre, Bhimtal and Indinov Publishing, New DelhiMATH

Veech JA, Summerville KS, Crist TO, Gering JC (2002) The additive partitioning of species diversity: recent revival of an old idea. Oikos 99:3–9. https://doi.org/10.1034/j.1600-0706.2002.990101.xCrossRefADS

Veech JA, Crist TO (2009) PARTITION: software for hierarchical partitioning of species diversity, version 3.0. http://www.users.miamioh.edu/cristto/partition.htm. Accessed 25 Dec 2019

Viljur ML, Tiitsaar A, Gimbutas M et al (2020) Conserving woodland butterflies in managed forests: both local and landscape factors matter. For Ecol Manage 462:118002. https://doi.org/10.1016/j.foreco.2020.118002CrossRef

Walla TR, Engen S, DeVries PJ, Lande R (2004) Modeling vertical beta-diversity in tropical butterfly communities. Oikos 107:610–618. https://doi.org/10.1111/j.0030-1299.2004.13371.xCrossRefMATHADS

Warren R, Price J, Jenkins R (2021) Climate change and terrestrial biodiversity. The impacts of climate change. Elsevier, Amsterdam, pp 85–114CrossRefMATH

Watson GS, Williams EJ (1956) On the construction of significance tests on the circle and the sphere. Biometrika 43:344. https://doi.org/10.2307/2332913MathSciNetCrossRefMATH

Watson JEM, Segan DB, Tewksbury J (2019) Tropical forests in a changing climate. In: Lovejoy TE, Hannah L (eds) Biodiversity and climate change: transforming the biosphere. Yale University, London, pp 196–207CrossRefMATH

Wiklund C, Friberg M (2014) The evolutionary ecology of generalization: among-year variation in host plant use and offspring survival in a butterfly. Ecology 90:3406–3417. https://doi.org/10.1890/08-1138.1CrossRefMATH

Wynter-Blyth MA (1957) Butterflies of the Indian region. Bombay Natural History Society, BombayMATH

Zar JH (2014) Biostatistical analysis, 5th edn. Pearson Education Limited, USAMATH

Zografou K, Wilson RJ, Halley JM et al (2017) How are arthopod communities structured and why are they so diverse? Answers from Mediterranean mountains using hierarchical additive partitioning. Biodivers Conserv 26:1333–1351. https://doi.org/10.1007/s10531-017-1303-2CrossRef

Zografou K, Swartz MT, Tilden VP et al (2020) Stable generalist species anchor a dynamic pollination network. Ecosphere. https://doi.org/10.1002/ecs2.3225CrossRefMATH

Zografou K, Swartz MT, Adamidis GC et al (2021) Species traits affect phenological responses to climate change in a butterfly community. Sci Rep 11:1–14. https://doi.org/10.1038/s41598-021-82723-1CrossRefMATH

Title: The composition and phenology of butterflies are determined by their functional trait in Indian tropical dry forests
Authors: Anirban Mahata
Ayusmita Naik
Sharat Kumar Palita
Publication date: 01-03-2024
Publisher: Springer Netherlands
Published in: Biodiversity and Conservation
Print ISSN: 0960-3115
Electronic ISSN: 1572-9710
DOI: https://doi.org/10.1007/s10531-024-02798-w