Journal of Threatened Taxa | www.threatenedtaxa.org | 26 February 2025 | 17(2): 26504–26514

 

ISSN 0974-7907 (Online) | ISSN 0974-7893 (Print) 

https://doi.org/10.11609/jott.9181.17.2.26504-26514

#9181 | Received 02 June 2024 | Final received 30 January 2025 | Finally accepted 07 February 2025

 

 

Checklist on the ichthyofaunal resources and conservation status of

Dikhu River, Nagaland, India

 

Metevinu Kechu 1  & Pranay Punj Pankaj 2

 

1,2 Department of Zoology, Nagaland University, Hqrs: Lumami, Zunheboto District, Nagaland 798627, India.

1 metevinu06@gmail.com, 2 pranaypunj@gmail.com (corresponding author)

 

 

Editor: Yahya Bakhtiyar, University of Kashmir, Srinagar, India.     Date of publication: 26 February 2025 (online & print)

 

Citation: Kechu, M. & P.P. Pankaj (2025). Checklist on the ichthyofaunal resources and conservation status of Dikhu River, Nagaland, India. Journal of Threatened Taxa 17(2): 26504–26514. https://doi.org/10.11609/jott.9181.17.2.26504-26514

  

Copyright: © Kechu & Pankaj 2025. Creative Commons Attribution 4.0 International License. JoTT allows unrestricted use, reproduction, and distribution of this article in any medium by providing adequate credit to the author(s) and the source of publication.

 

Funding: ICAR-National Bureau of Fish Genetic Resources, Lucknow (Project No.: G./NE/2015). 

 

Competing interests: The authors declare no competing interests.

 

Author details: Metevinu Kechu is a research scholar and is actively engaged in ichthyofaunal exploration and documentation in Nagaland. Pranay Punj Pankaj is engaged in teaching fisheries as well as research and development activities on the subject in the region.

 

Author contributions: MK surveyed the Dikhu River of Nagaland and confirmation of the identity of the species. PPP supervised the work and interpreted the taxonomic information gathered by the Mk.

 

Acknowledgements: PPP gratefully acknowledges the financial support from ICAR-National Bureau of Fish Genetic Resources, Lucknow.

 

 

Abstract: Dikhu River constitutes one of the major perennial rivers of Nagaland and due to its pristine beauty aids as a tourism spot. From the present study, ichthyofaunal diversity accounted for a total of 28 fish species belonging to 6 orders, 13 families, and 3 subfamilies. From the investigation, order Cypriniformes (67.9%) was found to be the most dominant, followed by Siluriformes (14.3%) and Anabantiformes (7.1%) while order Beloniformes, Synbranchiformes and Anguilliformes was found to be the least common with 10.7% in total. The IUCN red list of threatened species shows 71.4% are Least Concern, 7.1% Near Threatened, 3.6% Vulnerable, 3.6% Endangered, 10.7% Not Accessed and 3.6% Data Deficient. IUCN population status data shows that 57.1% are unknown, 10.7% stable, 10.7% not accessed, and 21.4% with decreasing population trends. Diversity indices (Shannon, Simpson, and Evenness) indices ranged 2.497–2.912, 0.892–0.936, and 0.820–0.908, respectively. Relative abundance determinations ranged from a high of 15.55% for Devario aequipinnatus to the lowest values for Tariqilabeo latius and Botia rostrata at 0.08%. Anthropogenic pressure on the Dikhu River has resulted in habitat modification and fragmentation, posing a hazard to fish diversity. Fish abundance was found to be highest in the post-monsoon season and lowest in winter. These findings are significant for academic purposes and support conservation strategies for local fish resources.

 

Keywords: Assessment, biodiversity, diversity index, fish species, fisheries management, ichthyofauna, Nagaland fisheries, population status, riverine habitat, threatened species.

 

INTRODUCTION

 

India has been identified as one of the mega biodiversity countries in the world (Mittermeier & Mitemeir 1997) and the northeastern part of India with its unique topography has been considered a biodiversity hotspot in the world (Groombridge & Jenkins 1998). The region’s rich biodiversity is attributed to its tectonic placement (Kottelat 1989) and is considered a freshwater fish biodiversity hotspot in the world (Kottelat et al. 1996).

The state of Nagaland, located in the northeastern part of India, is known for its rich biodiversity, including a diverse range of fish species. Nagaland is bounded by beautiful hilly terrain and riverine system and shares boundaries with Assam (northern and western part), Arunachal Pradesh (northeastern part), Myanmar (eastern part), and Manipur (southern) (Kosygin & Vishwanath 1998). The three principal drainages of Nagaland consist of Brahmaputra and Barack of Indian origin and Chindwin drainage of Indo-Burma origin. The Dikhu River, flowing through Nagaland, serves as a prime location to study the ichthyofaunal diversity in the region. This river is characterized by its running waters and hilly terrain, making it an ideal habitat for various fish species. Furthermore, little information exists on the biology of these fish species, emphasizing the need for a comprehensive study of their diversity. The study of fish diversity in the Dikhu River would provide valuable insights into the ecological dynamics and conservation efforts in the region.

Biodiversity hotspots under freshwater ecosystems, are increasingly under threat, making their conservation a critical concern. Major factors such as habitat destruction, invasive species, overexploitation, and the impacts of climate change are driving the rapid decline of species populations. Studies have highlighted that approximately 24% of freshwater species are facing a high risk of extinction due to threats including pollution, dam construction, water extraction, agricultural practices, and the introduction of invasive species (Sayer et al. 2025). In the northeastern region of India, studies have provided valuable insights into the conservation status of freshwater fish species, illustrating both the rich diversity and the significant threats they face (Vishwanath 2017). A report presented at COP 28 in the United Arab Emirates further revealed that 25% of freshwater fish species worldwide are at risk of extinction, with climate change directly impacting at least 17% of these species (IUCN 2023). These findings underscore the urgent need for targeted conservation efforts to safeguard freshwater biodiversity.

The Shannon Index, Simpson Index, and Jacquard’s Evenness Index are commonly used to measure biodiversity and community structure in ecological studies. Biodiversity is often astonishingly altered or overused to define the population of a community. It is a measure of the number of species that make up a biological community and is considered one of the most important aspects of community organization or structure (Jewel et al. 2018). Information about ichthyofaunal diversity is scarce in this region and only a few notable works have been done by Hora (1936), Menon (1954), Acharjee et al. (2012), and a few studies have been done on the biodiversity status in Dikhu River individually by Ezung et al. (2022) and Konyak & Limatemjen (2022). The use of these diversity indices would allow researchers to assess the species richness, evenness, and dominance of fish populations in the Dikhu River. By quantifying the diversity indices, researchers can determine the overall health and stability of the fish community in the river. Understanding the fish diversity in the Dikhu River is crucial for several reasons. Firstly, it aids in the conservation and management of fish populations. This information helps in formulating policies for sustainable fisheries management. Though it is considered a significant river in the state, there has been scarce information regarding its status and its habitat ecology and hence this present study is an attempt to identify the current fish species diversity in this river.

 

 

MATERIALS AND METHOD

 

Study area

Dikhu River is one of the tributaries of the Brahmaputra River and six stations were selected for sampling (Table 1). The study was conducted for a period of 12 months from March 2019 to February 2020. The locations of the study sites were taken using GPS (Garmin etrex-10) (Image 1). It originates from the Naruto Hill, Zunheboto, and later confluences towards the Brahmaputra River from Naginimora, Assam. It then channels through most of the Zunheboto and Mokokchung districts of Nagaland, covering a total distance of 170 km. The two major tributaries of the Dikhu River are Yangyu in Tuensang district and Nanung (Langpangkong range) in Mokokchung district (Ao et al. 2008).

 

Fish sampling

Fish samples were collected from various sampling sites along the course of the river with gears such as cast nets, gill nets, scoop nets, hooks and lines, and locally available indigenous traps. Sampling collection was done on a monthly basis. Collected fish samples were photographed with a Canon EOS 3000D camera and measured using a vernier caliper and graduated ruler (graduations in mm) while excess fishes were released back into the river then a few samples were preserved in 10% formalin solution for further identification. Samples were identified with the help of key identification characters given by Talwar & Jhingran (1991), Menon (1999), Vishwanath et al. (2007), and Jayaram (2010), and the latest nomenclature was based in accordance with the Catalog of Fishes (Fricke et al. 2025). Fish classification was conducted following the guidelines outlined by Nelson et al. (2016).

 

Species diversity

Shannon diversity index, (Shannon & Weaver 1949)

H’ = - Σ pi ln (pi),

Where H’ is the Shannon Diversity Index and pi is the number of individuals in the ith species as a proportion of the total population. ln (pi) is the natural log of pi

The formula used for calculating Simpson’s index (Simpson 1949) is:

D = 1- (Σ n*(n-1)/N*(N-1))

Where n is the number of individuals of a specific species. N is the total number of individuals of all species.

Pielou’s Evenness Index (J) is calculated using the Shannon Diversity Index (H) and ln(S) is the natural logarithm of the total number of species (S) in the community. The formula for Pielou’s Evenness Index (Pielou 1966) is:

J’ = H’/H’max = H’ / ln(S)

The relative abundance (percentage composition) of fish species across the six sampling stations was calculated using the following formula.

Relative Abundance (%) = (Number of individuals of a species × 100) / Total number of species

Statistical analysis: For data conversion and analysis, Microsoft Excel was used.

 

 

RESULTS

 

Fish assemblage

Fish species composition of Dikhu River showed the presence of 28 fish species belonging to six orders 13 families and three subfamilies (Images 2 & 3). Table 2 provides a detailed checklist of fish species, organized according to their IUCN conservation status (IUCN 2024) and documented population trends. Among the order of fish species, Cypriniformes were observed as the most dominant group with 67.9% followed by Siluriformes (14.3%) and Anabantiformes (7.1%) while the least common order group belonged to Beloniformes, Synbranchiformes, and Anguilliformes with combined (10.7%) in total (Figure 1). Cyprinidae dominated among the families represented by 14 species and among the genus group Garra, Opsarius, and Danio were the most common with three species each. Based on the IUCN red list of threatened species category 71.4% was represented under Least Concern (LC), 7.1% under Near Threatened (NT), 3.6% under Vulnerable (VU), 3.6% under Endangered (EN), 10.7% under Not Assessed (NA) and 3.6% under Data Deficient (DD) status (Figure 2). The population trend of fish species as per IUCN also showed 57.1% as unknown, 10.7% as stable, 10.7% as not accessed, and 21.4% as decreasing population trends (Figure 3). Assessing the species according to its economic value were categorized as 46.4% under food and ornamental, 35.7% under ornamental, 10.7% under food, and 7.1% under food and sport category (Figure 4).

 

Relative abundance

The relative abundance of small indigenous fish Devario aequipinnatus (15.55%), Opsarius bendelisis (11.39%), Garra naganensis (9.52%), and Amblyceps apangi (7.73%) were found to be high in the river under study indicating its abundance and dominance. Species under different conservation categories like Neolissochilus hexagonolepis (NT) showed relatively high RA with values of 4.31%, which indicates the stability of their population despite natural and anthropogenic threats in the sampling sites. While others under the threatened category like Tor putitora (EN), Anguilla bengalensis (NT), and Botia rostrata (VU) indicated decreasing trends with RA values of 0.62%, 0.16%, and 0.08 %. Other species with fairly high RA were Schistura savona (6.61%), Psilorhynchus homaloptera (5.91%), Pterocryptis indica (5.71%) and Pethia conchonius (5.25%). The lowest RA was recorded in Tariqilabeo latius and Botia rostrata with values of 0.08% each. It has been observed that the highest number of catches was recorded during the post-monsoon followed by the pre-monsoon season compared to the other seasons (Figure 5).

 

Diversity index

Diversity was highest (H’ = 2.912, 1-D = 0.936) in post-monsoon season and lowest in monsoon season (H’ = 2.497, 1-D = 0.892), and the values of evenness index (J’) were recorded highest (J’ = 0.908) in pre-monsoon season and lowest in monsoon season (J’ = 0.82). The mean value and standard deviation of species found in each season, Shannon diversity (H’), Simpson’s index (1-D), and Pielou’s evenness (J’) indices were recorded as, 23.75 ± 2.217, 2.716± 0.194, 0.915± 0.022 and 0.864± 0.044 (Table 3). The study concluded that the Dikhu River supports rich fish diversity, while there is a notable shift in the fish community structure. 

 

 

DISCUSSION

 

The spatial distribution of fish species in the Dikhu River is influenced by a complex interplay of ecological factors, including abiotic conditions, biotic interactions, and evolutionary adaptations within the habitat (Pelicice et al. 2015; Bose et al. 2019; Satpathy et al. 2021; Alam et al. 2024). Among these factors, the dominance of Cypriniformes in the fish assemblages of the river is particularly notable. This pattern mirrors findings from other studies across northeastern Indian rivers, indicating a widespread dominance of this order (Taro et al. 2022; Ahmed et al. 2023; Chetry et al. 2023; Singh et al. 2024). The success of Cypriniformes in these ecosystems can be attributed to their evolutionary adaptations, including the ability to thrive in a range of water conditions, their varied feeding strategies, and reproductive behaviors, which have enabled them to outcompete other species in these freshwater habitats. Furthermore, their efficient use of resources has positioned Cypriniformes as central components of the ecological dynamics in these rivers (Mondal & Bhat 2020). Similar patterns of Cypriniformes dominance have been reported in studies conducted in Nagaland, with most species classified by the IUCN as either ‘Least Concern’ or ‘Data Deficient’ (Tsurunla et al. 2024), emphasizing the need for more focused studies on the region’s ichthyofauna. The present study also identified a significant proportion (21.4%) of species experiencing a declining population trend, which is likely attributable to a combination of natural environmental pressures and anthropogenic influences (Nel et al. 2009; Kechu et al. 2021).

Relative abundance (RA) is an important metric in ichthyological studies as it reflects the proportional representation of species within a community. This measure is crucial for understanding species dominance, interspecies competition, and the overall health and stability of aquatic ecosystems (Hubbell 2005). In this study, Devario aequipinnatus and Opsarius bendelisis were found to have the highest RA, with values similar to those reported by Valentina et al. (2015) in Karbi Anglong district, Assam. Additionally, the post-monsoon season was marked by the highest number of catches, consistent with findings by Ali et al. (2004), who observed that receding water levels during this period tend to concentrate fish in shallower areas, thereby increasing catch rates.

The Shannon Diversity Index is a key tool for assessing the health of aquatic ecosystems. Values below 1 generally indicate high pollution and stress, values between 1 and 2 suggest moderate stability and values above 3 reflect a healthy, stable environment conducive to species survival (Stub et al. 1970). The findings from this study align with those of Dey & Sarma (2018), who reported the highest fish diversity during the post-monsoon season in the Manas River. Similarly, Satpathy et al. (2021) recorded a Shannon diversity value of 2.76 for the Subansiri River, suggesting moderate ecosystem health. Simpson’s dominance index, which emphasizes the abundance of species over richness, also contributes to understanding the evenness of fish communities (Islam & Yasmin 2018). In this study, the highest evenness (J’) was recorded during the pre-monsoon season, while the lowest value occurred during the monsoon. The average evenness across all seasons was 0.864 ± 0.044, indicating a fairly balanced distribution of species. The post-monsoon season consistently displayed the highest species richness and diversity, likely due to the influx of water from various sources, which brings additional species into the river system and enhances community diversity. Additionally, there is a rise in species richness due to the migration of fish from larger rivers for breeding and spawning. These seasonal dynamics underscore the critical role of water-level fluctuations in shaping fish community composition, with the post-monsoon period supporting the highest levels of biodiversity across the study area.

During field surveys, interviews with local villagers revealed a noticeable decline in fish diversity, primarily attributed to the use of destructive fishing practices. The increasing availability and affordability of such tools have exacerbated the problem, leading not only to a reduction in fish populations but also negatively affecting the reproductive success of species, thereby causing long-term ecological harm. These observations are consistent with research suggesting that anthropogenic activities, such as overfishing and the use of harmful fishing techniques, are major contributors to fish population declines in river systems across Nagaland (Kechu et al. 2021).

The lack of comprehensive taxonomic surveys, genetic studies, and an understanding of the impacts of environmental changes poses significant challenges to the conservation of freshwater species in northeastern India. These gaps hinder accurate species identification and impede effective conservation planning, particularly for rare or endemic species. Integrating traditional ecological knowledge from local communities can provide valuable insights into fish migration patterns, breeding cycles, and habitat usage, complementing modern scientific research and enhancing conservation efforts (Albuquerque et al. 2021). There is an urgent need for more holistic and integrated conservation strategies, including habitat restoration, the promotion of sustainable fishing practices, and community-based conservation programs. Regular ecological monitoring and biodiversity assessments are crucial for safeguarding the aquatic ecosystems of the Dikhu River and for meeting both local and global biodiversity conservation goals.

 

 

Table 1. Sampling sites of Dikhu River, Nagaland.

Stations

Geographical coordinates

Altitude

Longsa (MKG)

26.244° N

94.517° E

2230 ft or 679.7 m

Longkong (MKG)

26.380° N

94.662° E

1390 ft or 423 m

Chakba (MKG)

26.403° N

94.690° E

1292 ft or 393.8 m

Alaphumi (Zunheboto)

26.219° N

94.497° E

2383 ft or 726.3 m

Salulamang (MKG)

26.452° N

94.704° E

1164 ft or 354.7 m

SumiSetsü (Zunheboto)

26.234° N

94.508° E

2271 ft or 692.2 m

 

 

 

Table 2. Comprehensive overview of fish catch composition of Dikhu River, Nagaland: conservation status, population trends, and economic significance.

 

Systematic position

Local name (Ao)

Common name

IUCN status

Population trends

Economic value

Specimen number

Order: Anguilliformes

Family: Anguillidae

 1

Anguilla bengalensis (Gray, 1831)

Angulang

Indian Mottled Eel

NT

Unknown

Fd

NUFM 1390

Order: Cypriniformes

Family: Cyprinidae

Subfamily: Barbinae

 2

Neolissochilus hexagonolepis (McClelland, 1839)

Seben

Katli or Chocolate mahseer

NT

Decreasing

Fd, Sp

NUFM 1279

 3

Tor putitora (Hamilton, 1822)

Tzünger

Golden mahseer

EN

Decreasing

Fd, Sp

NUFM 1285

 4

Pethia conchonius (Hamilton, 1822)

Tzünger

Rosy barb

LC

Unknown

Fd, Or

NUFM 1289

Subfamily: Danioninae

 5

Opsarius bendelisis (Hamilton, 1807)

Tawa

Indian hill trout

LC

Stable

Fd, Or

NUFM 1310

 6

Opsarius tileo (Hamilton, 1822)

Tawa

Tileo baril

LC

Unknown

Fd, Or

NUFM 1316

 7

Opsarius barna (Hamilton, 1822)

Tawa

Barna Baril

LC

Stable

Fd, Or

NUFM 1317

 8

Danio dangila (Hamilton, 1822)

Zer

Dangila Danio

LC

Decreasing

Fd, Or

NUFM 1325

 9

Danio rerio (Hamilton, 1822)

Zer

Zebra fish

LC

Decreasing

Fd, Or

NUFM 1329

 10

Danio assamila (Kullander, 2015)

Zer

Not accessed

Not accessed

Not accessed

Fd, Or

NUFM 1332

 11

Devario aequipinnatus (McClelland, 1839)

Zer

Giant danio

LC

Unknown

Fd, Or

NUFM 1319

Subfamily: Labeoninae

 

 

 

 

 

 

 12

Tariqilabeo latius (Hamilton, 1822)

Anget

GangeticLatia

LC

Unknown

Fd

NUFM 1295

 13

Garra lissorhynchus (McClelland, 1842)

Anget

Khasi garra

LC

Unknown

Fd, Or

NUFM 1296

 14

Garra birostris (Nebeshwar & Vishwanath, 2013)

Anget

Not accessed

Not accessed

Not accessed

Fd, Or

NUFM 1302

 15

Garra naganensis (Hora, 1921)

Anget

Naga garra

LC

Unknown

Fd, Or

NUFM 1304

Family: Psilorhynchidae

 

 

 

 

 

 

 16

Psilorhynchus homaloptera (Hora & Mukherji, 1935)

Mernngo

Homaloptera minnow

LC

Unknown

Or

NUFM 1347

 17

Psilorhynchus arunachalensis (Nebeshwar, Bagra & Das, 2007)

Mernngo

Not accessed

DD

Unknown

Or

NUFM 1353

Family: Botiidae

 

 

 

 

 

 

 18

Botia rostrata (Günther, 1868)

Nga-medaktsü

Gangetic loach

VU

Decreasing

Or

NUFM 1356

Family: Nemacheilidae

 

 

 

 

 

 

 19

Paracanthocobitis botia (Hamilton, 1822)

Sangsert

Mottled loach

LC

Decreasing

Or

NUFM 1335

 20

Schistura savona (Hamilton, 1822)

Retong

Half-banded Loach

LC

Unknown

Or

NUFM 1341

Order: Siluriformes

Family: Siluridae

 21

Pterocryptis indica (Datta, Barman & Jayaram, 1987)

Lorng

Siluras Catfish

DD

Unknown

Fd

NUFM 1360

Family: Bagridae

 

 

 

 

 

 

 22

Olyra longicaudata (McClelland, 1842)

Nenak

Torrent Catfish

LC

Unknown

Or

NUFM 1357

Family: Amblycipitidae

 

 

 

 

 

 

 23

Amblyceps apangi (Nath & Dey, 1989)

Nenak

Indian Torrent Catfish

LC

Unknown

Or

NUFM 1368

Family: Sisoridae

 

 

 

 

 

 

 24

Glyptothorax indicus (Talwar, 1991)

Jangmu

Catfish

LC

Unknown

Or

NUFM 1366

Order: Anabantiformes

Family: Channidae

 25

Channa melanostigma (Geetakumari & Vishwanath, 2011)

Alopungo

snakehead

Not accessed

Not accessed

Fd, Or

NUFM 1374

Family: Badidae

 26

Badis badis (Hamilton, 1822)

Akngo

Badis

LC

Unknown

Or

NUFM 1379

Order: Beloniformes

Family: Belonidae

 27

Xenentodon cancila (Hamilton, 1822)

Jokli

Freshwater Garfish

LC

Unknown

Or

NUFM 1385

Order: Synbranchiformes

Family: Mastacembelidae

 

 

 

 

 

 

 28

Mastacembelus armatus (Lacepède, 1800)

Merü

Spiny Eel

LC

Stable

Fd, Or

NUFM 1388

DD—Data Deficient | EN—Endangered | LC—Least Concern | NT—Near Threatened | VU—Vulnerable | Fd—Food | Sp—Sport | Or—Ornamental.

 

 

 

For figures & images - - click here for full PDF

 

 

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