Showing posts with label Species richness. Show all posts
Showing posts with label Species richness. Show all posts

Roadside Flora in Transition: Plant Communities Across Pine Forest Elevations | InformativeBD

Distribution of roadside plant communities along the altitudinal gradient in pine forests, Pakistan

Shaheen Qadir,  Adeela Altaf,  Muhammad Hashim,  Eamon Bushra,  Asia BiBi,  Nazir Ahmad,  Ishtiaq Ahmad,  Kaneez Fatima, and Altaf Ahmad Dasti, from the different institute of Pakistan. wrote a Research article about, Roadside Flora in Transition: Plant Communities Across Pine Forest Elevations. Entitled, Distribution of roadside plant communities along the altitudinal gradient in pine forests, Pakistan. This research paper published by the International Journal of Biosciences | IJB. an open access scholarly research journal on Biosciences. under the affiliation of the International Network For Natural Sciences| INNSpub. an open access multidisciplinary research journal publisher.

Abstract

In mountainous areas, road construction is accompanied by large‐scale physical disturbance that drastically modify the landscape. Road construction and cutting process of mountains removes soil and rock from the hillside above the proposed road, while soil and rock are deposited on the down‐slope area. The resultant roadsides are highly disturbed habitats characterized by plant communities maintained at an early successional stage. The present research was conducted along the roadside, consisting of Nathia Gali (Temperate forest), Abbottabad (Tropical forest) and Thandiani Valley (Sub alpine forest) to determine the associations and relationships between the plant communities and soil, grouping and quantification of plant communities using multivariate ordination techniques. The study area ranges in altitude from 2400 to 2700 m, a.s.l. A total 74 genera having 82 species belonging to 44 families were recorded during the field survey. The major families were Rosaceae (30%), Lamiaceae (23%) and Asteraceae (17%). Other families also contributed a good share in flora. Herbs contributed the more share followed by shrubs and trees. Presence/absence data were used to classify and ordinate for both sites and species. DCA axes 1 and 2 were used for data interpretation. The relationships between soil characters and DCA axes 1 and 2 were determined using Spearman Rank correlation. Cluster analysis identified 3 vegetation types. These vegetation types have been discussed in the context of topographic and edaphic heterogeneity.

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Read more : Roadside Leaves as Pollution Sensors: Weather and Particulates in Quetta | InformativeBD 

Introduction

Roads are designed as major channels of intercommunication between the communities existing in disparate strata of earth, yet it is pervasive disturbance with far-reaching impacts on vegetation and plant community composition (Coffin, 2007; Cui et al., 2009). Vegetation recovery is essential to stabilize slopes (Fu et al., 2010), increase water infiltration capacity (Walton et al., 2014), and reduce erosion and sedimentation of watersheds (Donaldson et al., 2013). Vegetation recovery following road construction is dynamic, variable and is strongly influenced by underlying edaphic and environmental conditions (Dong et al., 2010).

Roads often traverse heterogeneous substrate e.g. parent material/rock type (Deduke et al., 2016; Walker et al., 2013) that directly influence additional edaphic factors (Hahm et al., 2014; Ullmann et al., 1995; Abella et al., 2008). In particular, substrate variability influences on vegetation and species composition of roadside slopes (Neher et al., 2013). For the distribution pattern of different animals and plants varieties roadsides can also considered as entranceway and habitats or barriers (Angold, 1997).

Plant communities of roadside also provides refugees for the conservation of isolated or relict population of plant species in highly modified regions where novel ecosystems are emerging (Dolley and Audet, 2013). For example, soil depth and texture are strong determinants of nutrient contents (Li et al., 2016) which subsequently influence plant species diversity and long term species persistence following disturbance (Cui et al., 2009; He and Monaco, 2018) and roads are mostly noted as assisting to the spatial spread of alien species, since they express the basic corridor for various invader floristic species introduction, with high reproductive rates and short life spans (Parendes and Jones, 2000).

Although mountain ecosystems are considered to be at low risk of plant invasion due to their harsh climate and limited human activities but the promotion of mountain areas, particularly the Himalayan region (Khuroo et al., 2007), as global tourist destination has put these ecosystems at higher risk of invasion. Pickering and Hill (2007) described that distribution pattern of invasive plants along roadsides varied with altitude and road construction facilitated plant invasion in mountainous regions. Arevalo et al. (2005) revealed that at elevation of (1900-2000 m) the maximum quantity of alien vegetation present. Pauchard and Alaback, (2004) illustrated that along roadside with the variation of altitude between (280- 1290 m) alien varieties richness was negatively associated with altitude.

Along the environmental gradient the various well known factors that find out the distribution of the plant species include topographic heterogeneity and particularly elevation (Liberman et al., 1985), Rain fall (Hall and Swaine, 1976) and redistribution of rain fall water (Shmida et al., 1986), Edaphic factors particularly Topography(Richards, 1996), Soil texture (Davis et al., 1998), Light availability (Liberman et al., 1995), Drainage (Hubbell and Foster, 1986), Soil nutrients (Baillie et al., 1987), Light regime and the degree of anthropogenic other catastrophic disturbances (Perkins and Hatfield, 2014).

However, roadside exotic or native plant communities help in conserving landscape qualities (Khalid et al., 2008). They are also essential places to observe the floristic communities, patterns of distribution and their potential for incursion into interior environment (Trombulak and Frissell, 2000). Furthermore, roadsides are helpful for discovering the effect of climatic factors on distribution pattern of plant species across a various altitudinal gradient (Antonio et al., 2001).

In the present investigation, we assessed variation in vegetation structure and plant community composition along express highways radiating from Murree outward into Abbottabad and Thandiani in Northern Pakistan. Our primary objectives were to identify vegetation structure and plant community composition along the roadside and to relate roadside vegetation and environmental heterogeneity that affects the vegetation patterns along roadside crossing Himalayan forests in Pakistan.

To achieve the objectives of the present investigation, numerical analysis of the data was preferred. Multivariate analysis techniques are the swift tools for ecologist. Ordination analysis is also important statistical tool to elucidate major axes on compositional variation in vegetation data obtained from presence/absence record of species. Cluster analysis is mostly used (Charman et al., 1993; Franklin et al., 1999). The results of species DCA were used to correlate the response of species for edaphic variations (Dasti et al., 2010).

The aims of the present study were To relate roadside vegetation and environmental heterogeneity that affects the vegetation patterns along the roadside crossing Himalayan forests in Pakistan.

To identify the environmental factors of overriding importance in determining the nature of plant communities in these landscapes.

To know the factors which control the distribution pattern of species?

Reference

Abella SR, Springer JD. 2008. Canopy-tree influences along a soil parent material gradient in Pinus ponderosa-Quercus gambelii forests northern Arizona. The Journal of the Torrey Botanical Society 135, 26-36.

Ahmad KS, Hameed M, Ahmad F, Sadia B. 2016. Edaphic factors as major determinants of plant distribution of temperate Himalayan grasses, Pakistan journal of Botany 48(2), 567-573.

Angold PG. 1997. The impact of a road upon adjacent heathlands vegetation effects on plants species composition. Journal of Animal Ecology 34, 409-417.

Araki M. 1995.Forest meteorology. Tokyo: Kawashima Shoten (in Japanese).

Arevalo JR, Delgado JD, Otto R, Naranjo A, Salas M,Fernández-Palacios JM. 2005. Distribution of alien vs. native plant species in roadside communities along an altitudinal gradient in Tenerife and Gran Canaria (Canary Islands). Perspective in Plant Ecology, Evolution and Systematics 7, 185-202.

Baillie IC, Ashton PS, Court MN, Anderson JAR, Fitzpatrick EA, Tinsley J. 1987. Site characteristics and distribution of tree species in Mixed Dipterocarp Forest on Tertiary sediments in central Sarawak. Malysia. Journal of Tropical Ecology 3, 201-220.

BiBi A, Bushra E. Hashim M, Altaf A, Qadir S, Ahmad I, Ahmad N, Hussain S, Dasti AA. 2020. Classification and ordination of upland vegetation of temperate forest at Mukeshpuri Hills, Pakistan. International Journal of Biosciences 17(3), 206-229.

Champion HG, Seth SK, Khattak GM. 1965. Forest types of Pakistan. Pakistan Forest Institute.

Charman DJ. 1993. Patterned ferns in Scotland: evidence from vegetation and water chemistry, Journal of Vegetation Science 4, 543–552.

Coffin AW. 2007. From road kill to road ecology: A review of the ecological effects of roads. Journal of Transport Geography 15, 396-406.

Cui BS, Zhao SQ, Zhang KJ. 2009. Disturbance of Dabao highway construction on plant species and soil nutrients in Longitudinal Range Gorge Region of southwestern China. Environmental Monitoring and Assessment 158, 545-59.

D’Antonio C, Meyecrson LA, Denslow J. 2001. Exotic species and conservation: research needs. Conservation biology: research priorities for the next decade. Island Press, Washington D.C.

Dasti AA, Agnew DQ. 1994. The vegetation of Cholistan and Thal deserts, Pakistan. Journal Arid Environments 27, 193-208.

Dasti AA, Malik SA. 1998. A transect of vegetation and soils on the Indus valley scar slope, Pakistan. Pakistan Journal of Plant Science 4(2), 73-84.

Dasti AA, Saima ZM, Azhar M, Gohar S.2010.Vegetation zonation along the geological and geomorphological gradient at eastern slope of Sulaiman range, Pakistan.  African Journal of Biotechnology 9(37), 6105-6115.

Davis MA, Wrage KJ, Reich PB. 1998. Competition between tree seedlings and herbaceous vegetation: Support for a theory of resource supply and demand. Journal of Ecology 86, 652-661.

Deduke C, Halden NM, Piercey-Normore MD. 2016. Comparing element composition of rock substratum with lichen communities and the fecundity of Arctoparmelia and Xanthoparmelia species. Botany 94, 41-51.

DoleyD, Audet P. 2013. Adopting novel ecosystems as suitable rehabilitation alternatives for former mine sites. Ecological Processes 2(1), 22.

Donaldson JE, Richardson DM, Wilson JRU. 2013. Scale-area curves: A tool for understanding the ecology and distribution of invasive tree species. Biological Invasion 16, 553-63.

Dong SK, Yang ZF, Cui BS, Liu SL, Liu J, Hu B, Zhai HJ, Ding ZK, Wei  G. 2010. Impacts of environmental factors and human disturbance on composition of roadside vegetation in Xishuangbanna National Nature Reserve of southwest China. Procedia Environmental Sciences 2(12), 13-19.

Franklin J, Drake DR, Bolick LA, Smith DS, MotleyJ. 1999. Rain forest composition and patterns of secondary succession in the Vava’u Island Grou, Tonga. Journal of Vegetation Science 10, 51-64.

Fu W, LiuS, Dong S. 2010. Land scape pattern changes under the disturbance of road networks. Procedia Environmental Sciences 2(8), 59-67.

Gairola S, Rawal RS, Todaria NP. 2008. Forest vegetation patterns along an altitudinal gradient in sub-alpine zone of west Himalaya, India. African Journal of Plant Science 6, 42- 48.

Hahm WJ, Riebe CS, Lukens CE, Araki S. 2014. Bed rock composition regulates mountain ecosystems and landscape evolution. Proceedings of the National Academy of Sciences 111, 3338-43.

Hall JB, Swaine M. 1976. Classification and ecology of closed-canopy forest in Ghana. The Journal of Ecology 913-951.

Haq F, Ahmad H, Iqbal Z, Alam M, Aksoy A. 2017. Multivariate approach to the classification and ordination of the forest ecosystem of Nandiar valley western Himalayas. Ecological Indicators 80, 232-241.

Hashim M, Dasti AA. 2019. Himalayan temperate forest composition and canopy Attributes. International Journal of Biosciences 14(4), 317-337.

He H, Monaco T. 2018. Litter accumulation and nutrient content of roadside plant communities in Sichuan Basin, China. Plants 6(3), 36.

Hubbell SP, Foster RB. 1986. Biology, Chance and history and the structure of tropical rain forest tree communities. Community Ecology 314-329.

Khalid FA, Hale WHG, Headley ADD. 2008. Floristic composition and Environmental determinants of roadside vegetation in North England. Journal of Ecology 57(1), 73-88.

Khan SM, Page S, Ahmad H, Ullah Z, Shaheen H, Ahmad M, Harper DM. 2013.Phyto-climatic gradient of vegetation and habitat specificity in the high elevation Western Himalayas. Pakistan Journal of Botany 45, 223-230.

Khuroo AA, Rashid I, Reshi Z, Dar GH, Wafai BA. 2007. The alien flora of Kashmir Himalaya. Biological Invasion 9, 269-292.

Kochy M, Wilson SD. 2001.Nitrogen deposition and forest expansion in the northern Great plains. Journal of Ecology 89, 807-817.

Kubota Y, Murata H, Kikuzawa K. 2004. Effects of topographic heterogenity on tree species richness and stand dynamics in a subtroical forest in Okinawa Island, southern Japan. Journal of Ecology 92, 230-240.

Latrou M, Papadopoulos A, Papadopoulos F, Dichala O, Psoma P, Bountla A. 2014. Determination of soil available phosphorus using the Olsen and Mehlich 3 methods for Greek soils having variable amounts of calcium carbonate. Communications in soil science and plant analysis 45(16), 2207-2214.

Li Y, Gao Z, Tang L. 2016. Soil-Plant characteristics in an age sequence of Coronillavaria L. Plantations along embankments. Journal of Soil Science and Plant nutrition 16, 187-99.

Liberman M, Liberman D, Peltera R, Hartsshorn GS. 1985. Small scale altitudinal variation in lowland tropical wet forest vegetation.Journal of Ecology 73, 505-516.

Liberman M, Liberman D, Peltera R, Hartsshorn GS. 1995. Canopy closure and the distribution of tropical forests tree species at La Selva, Costa Rica. Journal of Tropical Ecology 1, 161-178.

Nasir E, Ali SI. 1972. Flora of Pakistan. Pakistan Agricultural Research Council, Islamabad.

Neher DA, Asmussen D, Lovell ST. 2013. Roads in northern hardwood forests affect adjacent plant communities and soil chemistry in proportion to the maintained roadside area. Science of Total Environment 449, 320-27.

Parendes LA, Jones JA. 2000.  Role of light availability and dispersal in exotic plant invasion along roads and streams in the H. J. Andrews Experimental Forest, Oregon. Conservation Biology 14, 64-75.

Perkins LB, Hatfield G. 2014.Competition, legacy, and priority and the success of three invasive species. Biological invasion 16(12), 2543-2550.

Pickering C, Hill W. 2007. Roadside weeds of the snowy mountains, Australia. Mountain Research and Devlopment, 27, 359-367.

Richards PW. 1996. The tropical rainforest. Cambridge University Press, Cambridge.

Sadıa S, Zhang JT, Tarıq A, Bai X, Sheday AA, Caol K, Mazari P, Aslam S, Ahmad L. 2017. Specıes diversity, vegetation pattern and conservatıon of Gentiana macrophylla Pall. Communıtıes ın Donglıng mountain meadow, Beıjıng, Chına. Pakistan Journal of Botany 49(5), 1725-1734.

Saima S, Altaf A, Faiz MH, Shahnaz F, Wu G. 2018. Vegetation patterns and composition of mixed coniferous forests along an altitudinal gradient in the Western Himalayas of Pakistan. Austrian Journal of Forest Science 135, 159–180.

Saima S, Dasti AA, Hussain F, Wazir SM, Malik SA. 2009. Floristic compositions along an 18- km long transect in Ayubia National Park district Abbottabad, Pakistan. Pakistan Journal of Botany 41, 2115-2127.

Shaheen H, Khan SM, Harper DM, Ullah Z, Qureshi RA. 2011. Species diversity, community structure, and distribution patterns in western Himalayan alpine pastures of Kashmir, Pakistan. Mountain Research and Development 31(2), 153-159.

Shaheen S, Iqbal Z, Ijaz F, Alam J, Rahman IU. 2016. Floristic composition, biological spectrum and phenology of Tehsil Havelian, District Abbottabad, Pakistan. Pakistan Journal of Botany 48(5), 1849-1859.

Shmida A, Evenari M, Noy-Meir I. 1986. Hot deserts ecosystem: an integeral view. Ecosystems of the world 379- 451.

Tiessen H, Roberts TL, Stewart JWB. 1983. Carbonate analysis in soils and minerals by acid digestion and two‐endpoint titration.  Communications in Soil Science and Plant Analysis 14(2), 161-166.

Trombulak SC, Frissell CA. 2000. Review of ecological effects of roads on terrestrial and aquatic communities. Conservation Biology 14, 18-30.

Tyser RW, Worley CA. 1992. Alien flora in grass lands adjacent to road and rail corridors in Glacier National park, Montana Conservation Biology 6, 253-262.

Ullmann I, Bannister P, Wilson JB. 1995. The vegetation of roadside verges with respect to environmental gradients in southern New Zealand. Journal of Vegetation Science 6, 131-142.

Walker LR, Shiels AB, Bellingham PJ. 2013. Changes in abiotic influences on seed plants and ferns during 18 years of primary succession on Puerto Rican landslides. Journal of Ecology 101, 650-661.

Walkley A, Black IA. 1934. An examination of Degtjareff method for soil organic matter and proposed modification of the chromic acid titration method. Soil Science 37, 29-37.

Walton M, Gadzia T, Zeedyk WD. 2014. Characterization and restoration of slope wetlands in New Mexico: a guide for understanding slope wetlands, causes of degradation and treatment options. New Mexico Environmental Department: Santa, 68.

Wazir SM, Dasti AA, Saima S, Shah J, Hussain 2008. Multivariate analysis of vegetation of Chapursan valley: An alpine meadow in Pakistan. Pakistan Journal of Botany 40(2), 615-626.

Whittaker RH. 1972. Evolution and measurement of species diversity. Taxon 21, 213–251.

Article source : Distribution of roadside plant communities along the altitudinal gradient in pine forests, Pakistan  

How Water Shapes Fish Life: Bigaan River’s Impact on Freshwater Diversity | InformativeBD

Effects of physico-chemical characteristics of Bigaan River to the species richness and distribution of freshwater Ichthyofauna

Gina C Lacang, from the institute of Philippines. Alma N Abug, from the institute of Philippines and Horacio Emmanuel S Factura, from the institute of Philippines.  wrote a Research article about, How Water Shapes Fish Life: Bigaan River’s Impact on Freshwater Diversity. Entitled, Effects of physico-chemical characteristics of Bigaan River to the species richness and distribution of freshwater Ichthyofauna. This research paper published by the Journal of Biodiversity and Environmental Sciences | JBES. an open access scholarly research journal on Biosciences. under the affiliation of the International Network For Natural Sciences| INNSpub. an open access multidisciplinary research journal publisher.

Abstract

This study was conducted to assess the physicochemical characteristics of Bigaan River and determine species richness and distribution of Ichthyofauna. Water samples were collected from three sampling sites of Brgy. Gango, Brgy. Indahag and Brgy. Cugman using grab sampling method during the wet season to determine water quality parameters namely: Total Solids, Total Suspended Solids (TSS), Turbidity, Total Dissolved Solids (TDS), Conductivity, Density, Redox Potential (ORP), pH, Salinity, Biochemical Oxygen Demand (BOD), Nitrates, Potassium, Phosphate, and Mercury while other parameters were measured onsite namely: Temperature, Dissolved Oxygen (DO), and Flowrate. The collection of fish species was done using purposive sampling. The findings of the study revealed that all physicochemical parameters have not exceeded the given standard values of DAO 2016-08. Results also showed significant differences in the parameters: total dissolved solids and turbidity. There were five identified Ichthyofauna species present in Bigaan River and it showed low diversity. Puntius binotatus is the most abundant species and Oreochromis niloticus is the least number of Ichthyofauna species. The Ichthyofauna species richness and distribution identified in Bigaan River have different tolerance on water quality. Some species were tolerant and sensitive to the water quality fluctuations and they were absent in a particular area. Although Bigaan River is within the acceptable level for Class C waters according to DAO-2016-08; however, water quality in Bigaan River limits the condition of Ichthyofauna species survival and growth because it was disrupted by sudden changes in the water quality.

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Introduction

Prominent anthropogenic activity that influences the water quality is mining. Mining involves exploration and removing of minerals from the earth, this process of removing precious metals from the ore use some heavy metals like mercury in amalgamation process which resulted in contamination of riverine system. Mercury contamination on freshwater from mining may cause by tailing ponds that overflow and runoff’ into the surface of water. Mercury is persistent, bioaccumulative and it is known to bio-magnify through aquatic food chains causing deleterious environmental effects (Powell, 2009). When mercury gets into water, bacterial activity can change into a form of methyl mercury which can be absorbed by aquatic organisms. It may affect the distribution and richness of species on freshwater organisms, like fishes and macroinvertebrates. Fish are the most diverse group of vertebrates with more than 30,000 species worldwide (Desidera et al., 2019). It can be found in every underwater habitat such as marine and freshwater. Freshwater fishes are the most threatened group of vertebrates based on more than 5,000 species assessed by the IUCN (Reid et al., 2013). In other words, water quality of a river may affect the growth, survival, and biodiversity of fish on the water.

Bigaan River is one of the seven rivers traversing across the city of Cagayan de Oro (Canencia & Gomez, 2016). Many people depend on Bigaan River because they use it for washing their clothes, bathing and even for their daily food consumption such as fish. The river is now surrounded by communities with high populations (Walag & Canencia, 2016). Population growth can increase the deterioration rate of the Bigaan River on its excessive use and dumping of the waste directly or indirectly into the river. Unfortunately, jeopardizing the water quality can affect living aquatic organisms such as fish. Freshwater fish in the Bigaan River are edible. Many of the local people use them for daily consumptions. In the light of these scenarios, the researchers assessed the physicochemical characteristics of the Bigaan River and the species richness and distribution of freshwater fish. Previous researches conducted were about the accumulation of mercury on fishes but there was no study related to the diversity of fishes, specifically on its species richness and distribution affected by water quality in the Bigaan River. The main objective of this study is to assess the physicochemical characteristics of the Bigaan River during wet season and determine the effects of the water quality on the species richness and distribution of freshwater fish. Specifically, it: i.) determines the physicochemical characteristics of Bigaan River; ii.) compares the measured water quality parameters with DENR (DAO-2016-08) standards; iii.) assess if there is a significant difference in the measured values of water parameters between sampling periods and among sampling sites, and iv.) determines the Ichthyofauna species richness and distribution of the river.

Reference

Akaahan TJA, Olabanji FM, Azua ET. 2017. Studies on regression analysis between Electrical Conductivity and Total Dissolved Solids as environmental variables in lower river Benue, Makurdi, Nigeria. African Journal of Water Conservation and Sustainability 5(5), 221-229.

Akhtar MM, Tang Z. 2013. Identification of contamination sources and TDS     concentration in groundwater of second biggest city of Pakistan. International Journal of Environmental Science and Development 4(3), 341.

Al-Samawi AAA, Al-Hussaini SNH. 2016. The oxidation reduction potential distribution along Diyala river within Baghdad city. Mesopotamia Environmental Journal 2(4).

Atwebembeire J, Bazira J, Kagoro G, Yatuha J, Andama M, Bunny JL. 2018. The physico-chemical quality of streams and channels draining into river Rwizi, South Western Uganda.

Auliar R, Bekaroo G. 2020. A smart fish feeding system for internet of things based aquariums. In Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications (pp. 1-8).

Bell J, Barnes D, Turner J. 2002. The importance of micro and macromorphological variation in the adaptation of a sublittoral demosponge to current extremes. Marine Biology 140(1), 75-81.

Briciu AE, Graur A, Oprea DI. 2020. Water Quality Index of Suceava River in Suceava City Metropolitan Area. Water 12(8), 2111.

Cabuga Jr CC. 2017. Comparative fluctuating asymmetry of spotted barb (Puntius binotatus) sampled from the Rivers of Wawa and Tubay, Mindanao, Philippines. Computational Ecology and Software 7(1), 8.

Canencia OP, Gomez AL. 2016. Water Quality Standards and Plankton Species Composition in Selected River System in Cagayan de Oro City, Philippines.

Chapman JM, Proulx CL, Veilleux MA, Levert C, Bliss S, Andre ME, Cooke SJ. 2014. Clear as mud: a meta-analysis on the effects of sedimentation on freshwater fish and the effectiveness of sediment-control measures. Water research 56, 190-202.

Colaço CD, Yabuki LNM, Rolisola AM, Menegário AA, de Almeida E,     Suárez CA, do Nascimento Filho VF. 2014. Determination of mercury in river water by diffusive gradients in thin films using P81 membrane as binding layer. Talanta 129, 417-421.

Da Silva VDPR, Silva MT, Singh VP, de Souza EP, Braga CC, de Holanda RM, Braga ACR. 2018. Simulation of stream flow and hydrological response to land-cover changes in a tropical river basin. Catena 162, 166-176.

Desiderà E, Guidetti P, Panzalis P, Navone A, Valentini-Poirrier CA, Boissery P, Di Iorio L. 2019. Acoustic fish communities: sound diversity of rocky habitats reflects fish species diversity. Marine Ecology Progress Series 608, 183-197.

Dubey D, Kumar S, Dutta V. 2021. Impact of nutrient enrichment on habitat heterogeneity and species richness of aquatic macrophytes: evidence from freshwater tropical lakes of Central Ganga Plain, India. International Journal of Environmental Science and Technology 1-18.

Fondriest Environmental, Inc. 2014. Turbidity, Total Suspended Solis, and Water Clarity. Fundamental of Environmental Measurements.

Food and Agriculture Organization. 2019. Fisheries and Aquaculture- Cultured Aquatic Species Information programe, Oreochromis niloticus (Linnaeus, 1758).

Gupta SK, Singh J. 2011. Evaluation of mollusc as sensitive indicator of heavy metal pollution in aquatic system: a review. IIOAB J 2(1), 49-57.

Iyasele JU, David J, Idiata DJ. 2015. Investigation of the Relationship Between Electrical Conductivity and Total Dissolved Solids for Mono-Valent, Di-Valent and Tri-Valent Metal Compounds. International Journal of Engineering Research and Reviews 3(1), 40-48.

Khalik WMAWM, Abdullah MP, Amerudin NA, Padli N. 2013. Physicochemical analysis on water quality status of Bertam River in Cameron Highlands, Malaysia. J. Mater. Environ. Sci 4(4), 488-495.

Khetsha ZP. 2013. The effect of potassium and water quality on the yield and oil quality of Rose Geranium (Pelargonium graveolens L.) (Doctoral dissertation, Bloemfontein: Central University of Technology, Free State).

Kumar PS, James EJ. 2013. Physicochemical parameters and their sources in groundwater in the Thirupathur region, Tamil Nadu, South India. Applied Water Science 3(1), 219-228.

Kyllmar K, Forsberg LS, Andersson S, Mårtensson K. 2014. Small agricultural monitoring catchments in Sweden representing environmental impact. Agriculture, Ecosystems & Environment 198, 25-35.

Lim SJ, Oh DH, Khosravi S, Cha JH, Park SH, Kim KW, Lee KJ. 2013. Taurine is an essential nutrient for juvenile parrot fish Oplegnathus fasciatus. Aquaculture 414, 274-279.

Maglangit FF, Galapate RP, Bensig EO. 2014. Physicochemical-assessment of the water quality of Bulacao River, Cebu, Philippines. J Biodiv Environ Sci 5, 518-525.

Marandi A, Polikarpus M, Jõeleht A. 2013. A new approach for describing the relationship between electrical conductivity and major anion concentration in natural waters. Applied geochemistry 38, 103-109.

Miao S, DeLaune RD, Jugsujinda A. 2006. Influence of sediment redox conditions on release/solubility of metals and nutrients in a Louisiana Mississippi River deltaic plain freshwater lake. Science of the total environment 371(1-3), 334-343.

Naceradska J, Pivokonsky M, Pivokonska L, Baresova M, Henderson RK, Zamyadi A, Janda V. 2017. The impact of pre-oxidation with potassium   permanganate on cyanobacterial organic matter removal by coagulation. Water research 114, 42-49.

Nivelle R, Gennotte V, Kalala EJK, Ngoc NB, Merland C, Rougeot C. 2019. Temperature preference of Nile Tilapia (Oreochromis niloticus) juveniles induces spontaneous sex reversal. PLoS ONE 14(2), e0212504.

Popenda A. 2014. Effect of redox potential on heavy metals and as behavior in dredged sediments Desalination and water treatment 52(19-21), 3918-3927.

Raji MIO, Ibrahim YKE, Tytler BA, Ehinmidu JO. 2015. Physicochemical characteristics of water samples collected from River Sokoto, Northwestern Nigeria. Atmospheric and climate sciences 5(03), 194.

Reid G McG, Contreras MacBeath T, Csatad K. 2013. Global Challenges in Freshwater Fish Conservation Related to Public Aquarium Industry. International Zoo Yearbook 47(1), 6-45

Sagar TP, Singh S, Singh V, Baghel SR, Dwivedi AK. 2012. Effect of water pH on growth and production of fish in the Coka Dam Papara Distt. Satna (MP). International Journal of Pharmacy & Life Sciences 3(9).

Shapley P. 2011. Temperature Effects on Density. University of Illinois.

Simeon EO, Idomo KBS, Chioma F. 2019. Physicochemical Characteristics of Surface Water and Sediment of Silver River, Southern Ijaw, Bayelsa State, Niger Delta, Nigeria. American Journal of Environmental Science and Engineering 3(2), 39-46.

Swiatla-Wojcik D, Pabis A, Szala J. 2008. Density and temperature effect on hydrogen-bonded clusters in water-MD simulation study. Central European Journal of Chemistry 6(4), 555-561.

Uddin MN, Alam MS, Mobin MN, Miah MA. 2014. An Assessment of the River Water Quality Parameters: A case of Jamuna River. Journal of Environmental Science and Natural Resources 7(1), 249-256.

Walag AMP, Canencia MOP. 2016. Physico-Chemical Parameters and Macro Benthic Invertebrates of the Intertidal Zone of Gusa, Cagayn de Oro City, Philippines. AES Bioflux 8, 1.

Zakeyudin MS, Isa MM, Md Rawi CS, Md Shas AS. 2012. Assessment of Suitability of Kerian River Tributaries using Length Weight Relationship and Relative Condition Factor of Six Freshwater Fish Species, Journal of Environmental. Earth Science 2, 52-60.

Article sourceEffects of physico-chemical characteristics of Bigaan River to the species richness and distribution of freshwater Ichthyofauna  

Current Fish Fauna of Mandulog River, Iligan City, Philippines | InformativeBD

Current fish fauna in Mandulog River, Iligan City, Lanao Del Norte, Philippines

Anylin P. Sanchez,  from the institute of the Philippines. Frandel Louis S. Dagoc, from the institute of the Philippines . Jaime Q. Guihawan, from the different of the Philippines . Wella T. Tatil, from the  institute of the Philippines.  Corazon V. Ligaray, from the institute of the Philippines . and Armi G. Torres, from the institute of the Philippines. wrote a Research Article about, Current Fish Fauna of Mandulog River, Iligan City, Philippines. Entitled, Current fish fauna in Mandulog River, Iligan City, Lanao Del Norte, Philippines. This research paper published by the Journal of Biodiversity and EnvironmentalSciences (JBES). an open access scholarly research journal on Biodiversity. under the affiliation of the International Network For Natural Sciences| INNSpub. an open access multidisciplinary research journal publisher.

Abstract

This paper provides the current fish species richness, composition, distribution, and conservation status in the Mandulog River Iligan City, Philippines, highlighting its ecological significance and the impact of anthropogenic activities. A total of Fourteen species from 13 families were recorded, consisting of- 12 native and two introduced species from three sampling sites (upstream, midstream, and downstream). Native species dominated the fish assemblage, with Fibramia thermalis (44.22%) and Planiliza subviridis (18.03%) being the most abundant. This study confirmed the first record of Barbodes tumba, a threatened endemic species confined to upstream areas, reflecting their vulnerability to habitat disturbance. Conservation assessments of the 12 native revealed that ten species (85.7%) are classified as “Least Concern”, one as “Endangered” and another one species as “Data Deficient”. This study also documented two invasive alien species, Oreochromis niloticus and Clarias batrachus. The recent findings underscore significant threats to the Mandulog River’s biodiversity, including pollution, quarry mining, sedimentation, and invasive alien species. Recommendations emphasize conservation strategies targeting habitat restoration, invasive alien species management, and community-driven biodiversity monitoring to sustain the river’s ecological health and align with global conservation goals.

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Introduction

Freshwater ecosystems, such as rivers, play a vital role in maintaining biodiversity and providing ecosystem services to human and natural systems. They are essential habitats for various aquatic species, including fish that contribute to the ecological balance, support livelihoods, and serve as indicators of environmental health (Jamandre, 2023). Among these, rivers in the Philippines, including the Mandulog River in Iligan City, stand out due to their rich ichthyofauna, comprising native and endemic species. However, these ecosystems face mounting challenges from human-induced disturbances such as overfishing, pollution, and invasive alien species environmental degradation (Guerrero, 2023).

The Mandulog River traverses urban and rural areas and supports diverse freshwater fish species. This river system, previously studied by Sempio et al. (2013), Vedra et al. (2013), and Tampus et al. (2015), has been a focal point for understanding the impacts of human activities such as quarrying, urbanization, unregulated fishing activities and landscape alterations on freshwater biodiversity. Quarrying activities, sedimentation, and pollution from surrounding communities significantly threaten aquatic habitats, as Buot et al. (2014) and (Vedra and Ocampo, 2016) highlighted. These threats have led to declines in native and endemic fish populations, echoing trends observed in similar freshwater systems across the Philippines (Gonzalez et al., 2023; Macalisang et al., 2023; Guerrero, 2023).

Past research efforts across Philippine rivers emphasieze the need to understand fish species composition and abundance, particularly as many species remain threatened or poorly documented (IUCN, 2019). Thus, this study aims to build on existing knowledge by providing the current of fish species composition, abundance, distribution, and conservation status in the Mandulog River. This work addresses critical gaps in understanding the river's current ecological state, focusing on its biodiversity's sustainability. The study align with global conservation priorities under the United Nations Sustainable Development Goals (SDGs), particularly SDG 6.6, which emphasizes the protection and restoration of water-related ecosystems, SDG 15.1, which focuses on the conservation, restoration and sustainable use of freshwater ecosystems and their services, SDG 15.5, which seeks to protect habitats, halt biodiversity loss and safeguard species from extinction, and SDG 15.8 which aims for prevention, reduction, control, and eradication of invasive alien species (UN SDG 2024).

Reference

Achacoso SC, Walag AMP, Saab LL. 2016. A rapid assessment of foliage spider fauna diversity in Sinaloc, El Salvador City, Philippines. Biodiversity 17(4), 156–161.

Alima MAP, Patricio JHP. 2010. Fish diversity and conservation measures of coastal waters in Tubay, Agusan del Norte, Philippines. Asian Journal of Biodiversity 1(1). https://doi.org/10.7828/ajob.v1i1.106.

Buot GG Jr, Ramos MSK, Amparado RF Jr, Anacleto NM. 2014. Monitoring of artisanal and small-scale mining in Mandulog River. AES Bioflux 6(3), 183–184.

Dapar MLG, Lagumbay AJD, Parcon J, Tubongbanua RM, Amoroso VB. 2021. Assessment of fish species richness and physicochemical parameters of Mt. Hamiguitan Range Wildlife Sanctuary river systems in Mindanao, Philippines. International Journal of Bonorowo Wetlands. https://doi.org/10.13057/bonorowo/w110202.

Fricke R, Eschmeyer WN, van der Laan R. 2022. Eschmeyer’s catalog of fishes. Available at http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp (accessed 30 November 2022).

Froese R, Pauly D, Editors. 2023. FishBase. World Wide Web electronic publication. www.fishbase.org, version (12/2013), February 2023.

Global Invasive Species Database. 2024. Species profile: Clarias batrachus. Downloaded from http://www.iucngisd.org/gisd/species.php?sc=62 on 01-12-2024.

Global Invasive Species Database. 2024. Species profile: Oreochromis niloticus. Downloaded from http://www.iucngisd.org/gisd/speciesname/Oreochromis+niloticus on 01-12-2024.

Gonzalez JB, Gado VJH, Mantes BG. 2023. Freshwater ichthyofauna of wetlands in Tablas Island, Romblon, The Philippines. Academia Journal of Biology 45(1), 121–138.

Guerrero R III. 2023. Commercially caught freshwater fishes in the Philippines: Status, issues, and recommendations. Transactions of the National Academy of Science and Technology 44(2022), 115.

Herrell AM, Methven DA. 2009. Annual and monthly variation in species composition and catches of fishes from the Tabusintac River Estuary in the southern Gulf of St. Lawrence. Canadian Field-Naturalist 123(1), 48–67.

Iqbal S, Lubna M. 2023. Biodiversity of fish fauna of River Khiali at District Charsadda, Khyber Pukhtoonkhwa, Pakistan. International Journal of Pure and Applied Zoology, p. 161.

IUCN. 2019. The IUCN Red List of Threatened Species. Version 2019-1.

IUCN. 2024. The IUCN Red List of Threatened Species. Version 2024-2.

Jamandre BW. 2023. Freshwater fishes of the Philippines: A provisional checklist. Zootaxa 5301(2), 151–181.

Lubos L, Carina J, Barroso, Tantoy O. 2022. Diversity of freshwater fish in Sawaga River, Malaybalay City, Bukidnon, Philippines. Asian Journal of Biodiversity 11, 125–136.

Macalisang MJCC, Mazo XJC, Gonzalez JB. 2023. Freshwater fishes of wetlands in San Agustin, Romblon, Philippines. Uttar Pradesh Journal of Zoology 44(15), 55–63.

Sempio JH, Sarmiento CS, Paringit EC. 2013. The effects of the changing landscape along the Mandulog River to lowland flood risk. Proceedings of the 2nd Philippine Geomatics Symposium (PhilGEOS), pp. 78.

Shen K-N, Durand J-D. 2016. The biogeography of Mugilidae in India, Southeast, and East Asia. In: Crosetti D, Blaber S, Eds. Biology, ecology, and culture of grey mullets (Mugilidae), pp. 63–84. CRC Press.

Tampus AD, De Guzman CE, Valdez SAL, Tumang VMC, Moneva CSO, Canalita EE. 2015. Species composition and gut content analysis of fishes in Mandulog River System, Iligan City. Advances in Environmental Biology 9(19), 23–31.

Torres AG, Eza ND, Nacua SS, Gimena RV, Guerrero RD III, Kesner-Reyes K, Leander NJS, Ame EC, Gonzales JC, Gaerlan RSP, Palla HP, Ballad EL, Angeles IJP, Reyes AT, Guino-o RS II, Cecilio MAF, Garcia MPC, Mamalangkap MD. 2022. Barbodes tumba. The IUCN Red List of Threatened Species 2022.

Vedra S, Ocampo P. 2016. Estimating pollutant loads into Mandulog River. Journal of Environment & Aquatic Resources 4.

Vedra SA, Ocampo PP, De Lara AV, Rebamcos CM, Pacardo EP, Briones ND. 2013. Indigenous goby population in the Mandulog River System and its conservation by communities in Iligan City, Philippines. Journal of Environmental Science and Management 16(2), 11–18.

Xia R, Durand J-D, Fu C-Z. 2016. Multilocus resolution of Mugilidae phylogeny (Teleostei: Mugiliformes): Implications for the family’s taxonomy. Molecular Phylogenetics and Evolution 96, 161–177.

SourceCurrent fish fauna in Mandulog River, Iligan City, Lanao Del Norte, Philippines  

Butterfly Diversity and Abundance Around Rabindra Sarobar, Kolkata: A Field Report I InformativeBD

A report on diversity and abundance of butterfly (Lepidoptera: Rhopalocera) fauna at the surrounding vegetation of Rabindra Sarobar, Kolkata, West Bengal, India

Mousumi Das , from the institute of India. Srija Gan, from the institute of India Bibarta Jha, from the institute of India. and Madhurima Sen, Sneha Jha, from the institute of India. wrote a research article about, Butterfly Diversity and Abundance Around Rabindra Sarobar, Kolkata: A Field Report. Entitled, A report on diversity and abundance of butterfly (Lepidoptera: Rhopalocera) fauna at the surrounding vegetation of Rabindra Sarobar, Kolkata, West Bengal, India. This research paper published by the Journal of Biodiversity and Environmental Sciences (JBES). an open access scholarly research journal on Biodiversity. under the affiliation of the International Network For Natural Sciences | INNSpub. an open access multidisciplinary research journal publisher. 

Abstract

Butterflies are considered indicator species for conservation planning and environmental monitoring as their diversity and abundance are visibly affected by anthropogenic activities. In this study, the diversity and abundance of butterfly fauna in the surrounding vegetation of Rabindra Sarobar, Kolkata, India was assessed to provide baseline information on the size of species richness and prospective utilization in urban planning and conservation. A total of 64 butterfly species under 5 families and 44 genera were recorded over a period of ten months from June 2023 to March 2024. Family Nymphalidae (36.85% of population) was found dominant with 17 genera and 26 species, followed by Lycaenidae (30.72%, 11genera, 12 species), Pieridae (22.77%, 9 genera, 12 species), Papilionidae (7.01%, 3 genera, 9 species) and Hesperiidae (2.65%, 4 genera, 5 species). Eleven species were found legally protected under different Schedules of the Wildlife Protection Act, 1972. Values of different diversity indices such as Shannon’s index (H’=3.69), Pielou’s evenness index (J’=0.89) and Simpson’s index (Ds=0.03) showed a high diversity, evenly distribution and high abundance persisted in the butterfly community. Information from this preliminary study is expected to be useful toward the conservation of the habitat as well as the butterfly fauna in the study area and similar geographic areas.

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Introduction

Monitoring biological diversity is becoming an essential tool to estimate the alteration of the environmental quality at the local as well as regional scale. Studies on species diversity and abundance are the prior required element to quantify the environmental impact on biota and any prior species diversity investigations are a prerequisite to adopting habitat management strategies (Nichols and Williams, 2006). Appraisal of taxa-specific species richness capacitates a more realistic and accurate assessment of the ecosystem functions and services derived from the specified taxon (Diaz et al., 2006). Diversity analysis of a single taxon or restricted number of taxa is worthwhile as their presence or absence and abundance records are useful for the population size estimation (Williams et al., 2002; Koleff et al., 2003; MacKenzie, 2005) whereas resource limitation impedes the selection of several taxa or the whole community (Mihindukulasooriya et al., 2014). The diversity of a target taxon varies with the features of the landscapes, more precisely with the nature and quality of the habitat and climatic conditions (Boggs, 1986). Butterflies are one of the best-known insects for their variety, presence in all types of environments, the beauty of their wing colouration and patterns and also for their role as effective ecological indicators of terrestrial ecosystems (Venkataramana, 2010). Hence, butterflies are the potential taxa, chosen for the estimation of biodiversity essential for biological conservation and also for monitoring the environmental conditions (Simonson et al., 2001). Any certain change in environmental quality is readily assessed by the change in their diversity, abundance or sometimes local extinction (Hogsden and Hutchinson, 2004). Moreover, butterflies provide several ecological services which are essential for the sustenance of environmental quality and integrity (Kumar, 2013).

Worldwide, over 19,000 butterfly species have been recorded (Kunte, 2000), of which from India, around 1500 species are documented, including 107 swallowtail butterflies (Papilionidae), 521 brushfooted butterflies (Nymphalidae), 109 white and yellow butterflies (Pieridae), 443 small blue butterflies (Lycaenidae) and 321 skippers (Hesperiidae) (Gaonkar, 1996; Kunte, 1997). Diversity and abundance of butterfly species decline day by day with the increase of urban elements like roads, buildings and other concrete constructions and with the expansion of residential, industrial and commercial areas, associated with the depletion of the quantity and quality of natural habitat, habitat degradation or disruption and fragmentation which adversely affects the natural biodiversity of that area (Clark et al., 2007; Malagrino et al., 2008). Urbanization, pollution, excessive usage of fumigant pesticides etc. provide a negative impact on butterfly populations (Pollard and Yates, 1993). Several earlier studies reported the impact of urban development on butterfly fauna, and their richness and abundance in Kolkata and its adjoining areas (Moore, 1882; Niceville, 1885; Ghosh and Siddique, 2005; Ghosh, 2009; Ghosh, 2010; Chowdhury and Chowdhury, 2007; Chowdhury and Das, 2007; Chowdhury and Soren, 2011; Basu Roy, 2011; Biswas et al., 2012; Nair et al., 2014; Biswas et al., 2014; Mukherjee et al., 2016; Maity et al., 2016; Bhattacharya et al., 2018; Mitra et al., 2023). For continuous monitoring of the environmental condition of Kolkata, systematic surveys on butterfly fauna from different regions of Kolkata are essential.

Keeping this view in mind, the present study was undertaken to document the diversity and abundance of butterfly fauna in the surrounding vegetation of Rabindra Sarobar, Kolkata, West Bengal, India, to provide necessary information on the conservation management of habitat and butterflies for sustaining ecosystem services.

Reference

Altermatt F, Pearse IS. 2011. Similarity and specialization of the larval versus adult diet of European butterflies and moths. American Naturalist 178, 372 382.

Anthes N, Fartmann T, Hermann G, Kaule G. 2003. Combining larval habitat quality and metapopulation structure-the key for successful management of pre-alpine Euphydryas aurinia colonies. Journal of Insect Conservation 7, 175-185.

Arya M, Dayakrishna K, Chaudhary R. 2014. Species richness and diversity of butterflies in sand around Kumaun University Nainital, Uttarakhand, India. Journal of Entomology and Zoology Studies 2(3), 153-159.

BasuRoy A. 2011. Butterflies and Wildflowers of Tollygunge Club. Tollygunge Club, Kolkata.

Berger WH, Parker FL. 1970. Diversity of planktonic foraminifera in deep sea sediments. Science 168, 1345-1347.

Betrus CJ, Fleishman E, Blair RB. 2005. Cross-taxonomic potential and spatial transferability of an umbrella species index. Journal of Environ mental Management 74, 79-87.

Bhattacharya A, Chakraborty S, Das KL, Saha A, Sardar S, Mandal B, Mukherjee A, Mitra B. 2018. Temporal diversity of urban butterflies: A case study in the campus of Ramakrishna mission Vivekananda centenary College, Rahara, West Bengal, The Pharma Innovation Journal 7(12), 395-400.

Biswas O, Chakraborti U, Das A, Chatterjee S, Das S, Mahajan B. 2012. Lepidoptera and Araneae diversity of Saltlake City, Kolkata. Bionotes 14(3), 95-96.

Biswas O, Debnath N, Ghosh LK. 2014. Comparative analysis of the local butterfly diversity in and around South Kolkata with the growing pollution level. Journal of Experimental Zoology India 17(2), 703-710.

Blair RB. 1999. Birds and butterflies along an urban gradient: Surrogate taxa for assessing biodiversity. Ecological Applications 9(1), 164-170.

Boggs CL. 1986. Reproductive strategies of female butterflies: variation in and constraints on fecundity. Ecol. Entomol 11, 7-15.

Bonebrake TC, Ponisio LC, Boggs CL, Ehrlich P R. 2010. More than just indicators: a review of tropical butterfly ecology and conservation. Biological conservation 143(8), 1831–41.

Chowdhury A. 2022. Checklist of butterflies (Lepidoptera: Papilionoidea) in and around Lake town, Kolkata. Bionotes 24(1,2), 168-172.

Chowdhury D, Chowdhury S. 2007. Butterfly Fauna in Mudialy Ecological Park, Kolkata, West Bengal. Bionotes   9(1), 25-29.

Chowdhury S, Das RP. 2007. Diversity of Butterflies in the Indian Botanic Garden, Howrah, West Bengal. Bionotes 9(4), 131-132.

Chowdhury S, Soren R. 2011. Butterfly Fauna of East Calcutta Wetlands, West Bengal, India. Checklist 7(6), 700 703.

Clark PJ, Reed JM, Chew FS. 2007. Effects of urbanization on butterfly species richness, guild structure, and rarity. Urban Ecosystems 10(3), 321–327.

Díaz S, Fargione J, Chapin F, Tilman D. 2006. Biodiversity loss threatens human well-being. PLoS Biology 4(8), e277.

Dey P, Payra A, Mondal K. 2017. A study on butterfly diversity in Singur, West Bengal, India. E-Planet 15(1), 73- 77

Ehrlich PR, Hanski I. 2004. On the wings of checker spots: A model system for population biology. Oxford University Press, Oxford.

Fahrig L. 2003. Effects of habitat fragmentation on biodiversity. Annual Review of Ecology, Evolution, and Systematics 34(1), 487-515.

Fordyce JA, Nice CC. 2003. Variation in butterfly egg adhesion: Adaptation to level host plant senescence characteristics? Ecology Letter 6, 23-27.

Ghazoul J. 2002. Impact of logging on the richness and diversity of forest butterflies in a tropical dry forest in Thailand. Biodiversity and Conservation 11(3), 521-541.

Ghosh S. 2009. Birds and butterflies in the grounds of the Raj Bhavan, Kolkata. Raj Bhavan publication. Occasional Paper 6, 1-52.

Ghosh S. 2010. Urban biodiversity of Calcutta: Flowering plants, butterflies, birds and mammals West Bengal, India. Records of the Zoological Survey of India. Occasional Paper 327, 1-250.

Ghosh S, Siddique S. 2005. Butterfly Diversity in and Around Urban Kolkata. Records of zoological Survey of India 104(34), 111-119.

Guiney MS, Oberhauser KS. 2008. Insects as flagship conservation species. Terrestrial Arthropod Reviews 1, 111-123.

Gutierrez D, Menendez R. 1995. Distribution and abundance of butterflies in a mountain area in northern Iberian Peninsula. Ecography 18(3), 209-216.

Henry M, Beguin M, Requier F, Rollin O, Odoux JF, Aupinel P, Aptel J, Tchamitchian S, Decourtye A. 2012. A common pesticide decreases foraging success and survival in honey bees. Science 336(6079), 348-350.

Hogsden KL, Hutchinson TC. 2004. Butterfly assemblages along a human disturbance gradient in Ontario, Canada. Canadian Journal of Zoology 82, 739–748.

Hortal J, Bello F, Diniz-Filho JAF, Lewinsohn TM, Lobo J, Ladle RJ. 2015. Seven shortfalls that beset large-scale knowledge of biodiversity. Annual Review of Ecology, Evolution and Systematics 46, 523-549.

Kehimkar I. 2016. Butterflies of India, Bombay Natural History Society. Oxford University Press, Mumbai.

Kocher SD, Williams EH. 2000. The diversity and abundance of North American butterflies vary with habitat disturbance and geography. Journal of Biogeography 27, 785-794.

Koleff P, Gaston KJ, Lennon JJ. 2003. Measuring beta diversity for presence-absence data. Journal of Animal Ecology 72, 367-382.

Kumar A. 2013. Butterfly (Lepidoptera: Insecta) diversity from different sites of Jhagadia, Ankleshwar, district-Bharuch, Gujarat. Octa Journal of Environmental Research 1(1), 9-18.

Kumar A. 2014. Butterfly abundance and species diversity in some urban habitats. International Journal of Advanced Research 2(6), 367-374.

Kumari N, Prakash S, Jain A, Mishra AK, Raziuddin M. 2023. A Report on Butterfly Diversity of Biodiversity Park, Ranchi, Jharkhand, India. International Journal of Science and Research 12(11), 1063-1068.

Kunte K. 1997. Seasonal pattern in butterfly abundance and species diversity in four tropical habitats in northern Western Ghats. Journal of Bioscience 22(5), 593-603.

Kunte K. 2000. Butterflies of Peninsular India. Universities Press, Hydrabad.

Kunte K, Zhang W, Tenger-Trolander A, Palmer DH, Martin A, Reed RD, Mullen SP, Kronforst MR.  2014. Double sex is a mimicry supergene Nature 507, 229-232.

Kurtz JC, Jackson LE, Fisher WS. 2001. Strategies for evaluating indicators based on guidelines from the Environmental Protection Agency’s Office of Research and Development, Ecological Indicator 1, 49-60.

MacKenzie DI, Royle JA, Brown JA, Nichols JD. 2004. Occupancy estimation and modelling for rare and elusive populations. In Thompson, W. L. (eds) Sampling rare or elusive species. Island Press, Washington, D.C., USA.

Maity P, Roy S, Chakraborti U, Biswas O, Ghosh J, Gayen AK, Mitra B. 2016. Insect faunal diversity of Salt Lake City an urbanized area adjacent to Kolkata, India. Bioscience Discovery 7(2), 101-112.

Majumder J, Lodh R, Agarwala BK. 2013. Butterfly species richness and diversity in the Trishna Wildlife Sanctuary in South Asia. Journal of Insect Science 13(79), 1-13.

Malagrino GG, Lagunas MM, Rubio AO. 2008. Environment impact reduction through ecological planning at Bahia Magdalena, Mexico. Journal of Environmental Biology 29, 79-82.

McKinney ML. 2002. Urbanization, biodiversity, and conservation. Bioscience 52, 883-890.

Mennechez G, Schtickzelle N, Baguette M. 2003. Metapopulation dynamics of the bog fritillary between a continuous and a highly fragmented butterfly: Comparison of demographic parameters and dispersal landscape. Landscape Ecology 18, 279-291.

Mihindukulasooriya MWDM, Ranawana KB, Majer JD. 2014. Comparison of butterfly diversity in natural and regenerating forest in a biodiversity conservation site at maragamuwa, Sri Lanka. Journal of Biodiversity and Environmental Sciences 5(3), 387-391.

Mitra S, Barik M, Biswas A, Dey SR. 2023. Butterfly Richness of Rammohan College, Kolkata, India: An Approach towards Environmental Audit. International Journal for Research in Applied Science and Engineering Technology 11(5), 6297-6304.

Moore F. 1882. A list of butterflies captured in Barrackpore Park. In Rothney, G. A. J.   (eds) Entomologists Monthly Magazine 19, 33-36.

Mukherjee S, Banerjee S, Saha GK, Basu P, Aditya G. 2015. Butterfly diversity in Kolkata, India: An appraisal for conservation management. Journal of Asia-Pacific Biodiversity 8(3), 210–221.

Mukherjee S, Aditya G, Basu P, Saha G. 2016. Butterfly diversity in Kolkata metropolis: a synoptic check list. Check List 12(2), 1858.

Mulder CPH, Bazeley-White E, Dimitrakopoulos PG, Hector A, Scherer-Lorenzen M, Schmid B. 2004. Species evenness and productivity in experimental plant communities. Oikos 107, 50–63.

Nair AV, Mitra P, Aditya-Bandyopadhyay S. 2014. Studies on the diversity and abundance of butterfly (Lepidoptera: Rhopalocera) fauna in and around Sarojini Naidu college campus, Kolkata, West Bengal, India. Journal of Entomology and Zoology Studies 2(4), 129-134.

Nelson SM. 2007. Butterflies (Papilionoidea and Hesperioidea) as potential ecological indicators of riparian quality in the semi-arid western United States. Ecological Indicator 7, 469-480.

Niceville-De L. 1885. List of butterflies of Calcutta and its neighbourhood with notes on habits and food plants. Journal of Asiatic Society of Bengal 54(2), 39-54.

Nichols JD, Williams BK. 2006.  Monitoring for conservation.  Trends in Ecology and Evolution 21, 668 -673.

Nimbalkar RK, Chandekar SK, Khunte SP. 2011. Butterfly diversity in relation to nectar food plants from Bhor Tahsil, Pune District, Maharashtra, India. Journal of Threatened Taxa 3, 1601-1609.

Öckinger E, Eriksson AK, Smith HG. 2006. Effects of grassland management, abandonment and restoration on butterflies and vascular plants. Biological Conservation. 133, 291-300.

Öckinger E, Dannestam A, Smith HG. 2009. The importance of fragmentation and habitat quality of urban grasslands for butterfly diversity. Landscape and Urban Planning 93, 31-37.

Öckinger E, Smith HG. 2006. Landscape composition and habitat area affect butterfly species richness. Oecologia 149, 526-534.

Pollard E, Yates TJ. 1993. Monitoring Butterflies for Ecology and Conservation. Chapman & Hall, London, UK.

Sarma K, Kumar A, Devi A, Mazumdar K, Krishna M, Mudoi P, Das N. 2012. Diversity and habitat association of butterfly species in foothills of Itanagar, Arunachal Pradesh, India. Cibtech journal of Zoology 1(2), 67–77.

Shannon CE, Weaver, W. 1963. The Mathematical Theory of Communication. The University of Illinois Press, Urbana.

Simpson GG. 1964. Species density in North American recent mammals. Systematic Zoology 3, 57–73.

Simonson SE, Opler P, Stohlgren TJ. 2001. Rapid assessment of butterfly diversity in a montane landscape. Biodiversity and Conservation 10, 1369-1386.

Stefanescu C, Herrando S, Páramo F. 2004. Butterfly species richness in the north-west Mediterranean Basin: the role of natural and human-induced factors Journal of Biogeography 31, 905-915.

Tiple AD, Deshmukh VP, Dennis RLH. 2006. Factors influencing nectar plant resource visits by butterflies on a university campus: implications for conservation. Nota Lepidopteralogica 28, 213-224.

The Wildlife (Protection) Act, 1972, with the Wildlife (Protection) Amendment Act, 2002. The Gazette of India, 148pp. Available from: https://www.indiacode.nic.in/bitstream/123456789/1726/1/a1972-53.pdf

Thomas CD, Bodsworth EJ, Wilson RJ, Simmons AD, Davies ZG, Musche M, Conradt  L. 2001. Ecological and evolutionary processes at expanding range margins. Nature 411, 577-581.

Venkataramana SP. 2010. Biodiversity and conservation of butterflies in the Eastern Ghats. Internation Journal of Ecoscan 4, 59-67.

Watt WB, Boggs CL. 2003. Synthesis: Butterflies as model systems in ecology and evolution-present and future. In Boggs, C. L., Watt, W. B. and Ehrlich, P. R. (eds) Butterflies: ecology and evolution taking flight. The University of Chicago Press, Chicago.

Whitaker RH. 1965. Dominance and diversity in land plant communities: numerical relations of species express the importance of competition in community function and evolution. Science 147(3655), 250–260.

Williams PH, Margules CR, Hilbert DW. 2002. Data requirements and data sources for biodiversity priority area selection. Journal of Biosciences 27(4), 327-338.

SourceA report on diversity and abundance of butterfly (Lepidoptera: Rhopalocera) fauna at the surrounding vegetation of Rabindra Sarobar, Kolkata, West Bengal, India