A
The economic impact of Australian redclaw crayfish Cherax quadricarinatus on the Barotse floodplain artisanal fishery
Present Address:
NawaNawa1,2,3✉Email
JosieSouth4,5,6✉Email
BruceR.Ellender5,7
JosephinePegg5,8
TakudzwaC.Madzivanzira5,9
RyanJ.Wasserman1,5
1Department of Zoology and EntomologyRhodes UniversityMakhandaSouth Africa
2DSI/NRF Research Chair in Inland Fisheries and Freshwater EcologySouth African Institute for Aquatic Biodiversity (SAIAB)MakhandaSouth Africa
3School of Natural and Applied Sciences, Department of Chemistry and BiologyMulungushi UniversityKabweZambia
4Water@LeedsSchool of Biology, Faculty of Biological SciencesUniversity of LeedsLeedsUnited Kingdom
5South African Institute for Aquatic BiodiversityMakhandaSouth Africa
6Centre for Invasion Biology, School of Biology, Faculty of Biological SciencesUniversity of LeedsLeedsUnited Kingdom
7
A
The Nature ConservancyZambia
8Department of Ichthyology and Fisheries ScienceRhodes UniversityMakhandaSouth Africa
9Freshwater Research Group, Department of Biological Sciences and EcologyUniversity of ZimbabweHarareZimbabwe
Nawa Nawa1*,2,3, Josie South*4,5,6 Bruce R. Ellender5,7, Josephine Pegg5,8,, Takudzwa C. Madzivanzira5,9, Ryan J. Wasserman1,5
1Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa.
2DSI/NRF Research Chair in Inland Fisheries and Freshwater Ecology, South African Institute for Aquatic Biodiversity (SAIAB), Makhanda, South Africa.
3School of Natural and Applied Sciences, Department of Chemistry and Biology, Mulungushi University, Kabwe, Zambia.
4Water@LeedsSchool of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
5South African Institute for Aquatic Biodiversity, Makhanda, South Africa.
6Centre for Invasion Biology, School of Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.
7The Nature Conservancy, Zambia.
8Department of Ichthyology and Fisheries Science, Rhodes University, Makhanda, South Africa.
9Freshwater Research Group, Department of Biological Sciences and Ecology, University of
Zimbabwe, Harare, Zimbabwe.
*Corresponding authors: Nawa Nawa; nawajuly07@gmail.com; Josie South; j.south@leeds.ac.uk
Nawa Nawa https://orcid.org/0000-0002-7607-7990
Josie South https://orcid.org/0000-0002-6339-4225
Bruce R. Ellender https://orcid.org/0000-0002-4398-9491
Josephine Pegg https://orcid.org/0000-0001-6364-4741
Takudzwa C. Madzivanzira https://orcid.org/0000-0001-9683-5798
Ryan J. Wasserman https://orcid.org/0000-0002-4162-1503
Abstract
Biological invasions cost global economies billions of US dollars through direct control and mitigation, corrosion of ecosystem services and incurred management costs. Available evidence suggests that, the widespread introduction of redclaw crayfish Cherax quadricarinatus in the Zambezi basin has the potential to cause severe socio-economic impacts, however, this remains largely unquantified. In this study, roving creel surveys were implemented to assess the economic impact of C. quadricarinatus on the Barotse floodplain artisanal fishery. Fishers encountered C. quadricarinatus as a bycatch species in 9 types of fishing gears across the floodplain with crayfish encounter and abundance being higher in dry season and highest in the invasion core (Mongu). Damage to fish catch was mostly incurred by gillnet users and was also more extensive at invasion core during dry season. Damage was evident on 15 of the 16 fish species/group harvested. The economic cost arising from fish damage at the invasion core during dry season was estimated to be US$ 21, 586.76 per annum. Gear damage due to crayfish occurred in six types of fishing gear but was most prevalent among gillnet users, higher in the dry season and most extensive at the invasion core. The loss of fishing time was most prevalent among fishers using seine nets and more common in dry season and mostly at the invasion core. The economic costs incurred are significant for those affected, but the relative spatial restriction of such to the invasion core reflects a new invasion, the costs of which are likely to increase. These findings highlight the threat posed by invasive species to the livelihood of African communities, and the need to prioritise management of biological invasions in the region.
Keywords:
Zambezi Basin
invasion gradient
fish spoilage
monetary loss
management; damage cost
A
Introduction
Biological invasions by non-native species are well documented to severely alter and threaten biodiversity and ecosystem functioning (IPBES, 2023; Carneiro et al. 2025). While, non-native invasive species can also have profound negative effects on the economy (Diagne et al., 2021) and human wellbeing (Bradshaw et al., 2016; IPBES, 2023; South et al. 2025) these impacts are harder to document despite global synthesis efforts (Diagne et al., 2021). Economic costs attributed to biological invasions have been reported to have reached a minimum US$ 1.288 trillion in damages (Diagne et al., 2021). On the African continent, the cost of invasion is reported to be between US$ 18.2 billion and US$ 78.9 billion for the period 1970 and 2020 yet are recognized as being under reported (Diagne et al., 2021). Despite such huge costs, implementation of measures to prevent and control biological invasions remains limited mostly due to underestimation of negative impacts by decision makers (Courchamp et al., 2017). Determining economic cost associated with biological invasion is therefore essential to communicate negative impacts for motivation of the development of non-nattive invasive species policy and further strengthening of biosecurity (Essl et al., 2020; Seebens et al., 2017; 2021).
Crustaceans, particularly crayfish (Decapoda: Astacidea) are considered one of the most successful aquatic invasive species and have been introduced globally via capture fisheries, aquaculture, and aquarium trade pathways (Haubrock et al., 2021; Madzivanzira et al., 2020; Twardochleb et al., 2013). Due to their omnivorous nature, ability to attain large sizes and high population densities, invasive crayfish species can cause severe ecological impacts through strong trophic interactions and ecosystem engineering (Lodge et al., 2012; Twardochleb et al., 2013). Negative socio-economic impacts attributed to invasive crayfish include loss of ecosystem services such as food provisioning and increased expenses for agriculture and water management (Kouba et al. 2021; Lodge et al., 2012; Madzivanzira et al., 2020).
The redclaw crayfish Cherax quadricarinatus (von Martens 1868), is a species of concern which is now established and spreading through in several African river basins (Douthwaite et al., 2018; Haubrock et al., 2021; Madzivanziraet al., 2021a; Nunes et al., 2017; South et al., 2025). Invasive crayfish in continental Africa are phylogenetically novel as there are no native crayfish species except for Madagascar (Crandall & Buhay, 2007; Lodge et al., 2012). Cherax quadricarinatus was first introduced to the Zambezi Basin in 2001 for aquaculture purposes, and has since established feral populations in the Kafue Floodplains Ecoregion and Upper Zambezi Floodplains Ecoregion and the Middle Zambezi (Douthwaite et al., 2018; Madzivanzira et al., 2021a). Invasion costs at the Lake Kariba invasion core, in the Middle Zambezi, are significant where US$ 512 352.92 loss is attributed to damage by crayfish (Chakandinakira et al., 2023; Madzivanzira et al., 2023). In the Kafue Flats (Kafue Floodplains Ecoregion), specific impacts are still unquantified but fishers have reported catch spoilage and gear damage, with up to a third of catch damaged by crayfish (Weyl et al., 2017). Here we focus on the Barotse floodplain (Upper Zambezi Floodplain Ecoregion) which, despite having a well documented invasion history (e.g. Douthwaite et al., 2018; Madzivanzira et al., 2021a; Nawa et al., 2024) has not yet had an economic impact assessment. Similar to Lake Kariba, there are anecdotal reports from artisanal fishers which suggest that C. quadricarinatus are spoiling their fish catch through consumption of fish caught on gillnets and as well as damage to the nets (N. Namasiku pers com.). Consumption and flesh damage of fish renders the catch unsuitable for trade, resulting in cascading impacts throughout the value chain (Madzivanzira et al., 2022). Madzivanzira et al. (2022) estimated the cost incurred by extrapolating data from laboratory experiments, however these findings require verification as they represent a maximum possible cost. The potential of escalating economic cost is of great concern as the Barotse floodplain fishery is a fundamental source of livelihoods and food provisioning for approximately 70, 000 people across the floodplain and immediate surrounding areas (CGIAR, 2013). Given that 78.6% of the rural population are estimated to be living below the poverty line in the region (ZSA, 2023), the growing invasion may be a direct threat to human wellbeing. Quantifying the effects that C. quadricarinatus is having on the livelihood of fishers on the Barotse floodplain is therefore critical.
Here, a systematic field-based assessment was used to provide a quantification of economic cost incurred by artisanal fishers as a result of C. quadricarinatus. We aimed to 1) assess crayfish encounter and abundance across season (wet/dry) and invasion gradient (core vs upper/lower edges), 2) assess the prevalence of damage to fish catch and determine if fish catch damage varies by season, invasion gradient and habitat type (lentic/lotic) and if it is species specific, and 3) estimate associated economic costs (catch damage, gear damage and loss of fishing time) across season and invasion gradient.
Methods
Study area
The study was conducted on the Barotse floodplain of the Upper Zambezi system (Ecoregion 556, Abell et al., 2008) (Fig. 1). The main floodplain area covers approximately 550, 000 ha while the total wetland extends around 1.2 million ha (Turpie, 1999). The Barotse floodplain is an extensive low-lying flat land composed of Kalahari sands interspersed with dambo areas (Timberlake, 1997). The floodplain mainly consists of grassland with several small, wooded areas on elevated ground (van Gils, 1998) and scattered swamp forest (IUCN, 2003). The floodplain undergoes seasonal inundation due to increased discharge of the Zambezi River caused by rainfall of over 1400 mm experienced over the headwater catchment areas in south-eastern Angola and north-western Zambia (Cai et al., 2017). This flood period generally occurs between February and April before receding between May and July (Zimba et al., 2018). The floodplain comprises the main river channel, several small rivers, streams, lagoons, swamps, and canals which support artisanal fisheries based on diverse fish species (Turpie et al., 1999).
Fig. 1
The three strata: Senanga (downstream invasion edge), Mongu (invasion core) and Lukulu (upstream invasion edge) on the Barotse floodplain where sampling was conducted
Click here to Correct
Fishing takes place between March and November every year. Some of the common fishing gears used include gillnets, seine nets, hook and line, traps, baskets, spears, and weirs (van Gils, 1988; Turpie et al., 1999; AES & WWF, 2022). Gillnets are predominantly used on the floodplain during the flood period (AES & WWF, 2022) and continue as a dominant gear in lentic habitats (i.e., lagoons and ponds) as the floods recede between May to July, after which they become more dominant in lotic habitats (i.e., river and canals) as seine nets replaces them in the lentic habitats (N. Nawa pers. obs.).
Cherax quadricarinatus were illegally introduced on the Barotse floodplain in Lealui, Mongu in 2012 (Douthwaite et al., 2018) and the population has since become established and spread (Madzivanzira et al., 2021: Nawa et al., 2024). However, the crayfish population varies across the invasion range with the invasion core (Mongu) having high relative abundance (1.471 ± 0.685 ind./trap/night) compared to the invasion edge (upstream in Lukulu and downstream in Senanga) where the abundance is still relatively low (0.027 ± 0.002 ind./trap/night) (Nawa et al., 2024). The population also exhibits seasonal variation with higher relative abundance in dry season (0.789 ± 0.518 ind./trap/night) than wet season (0.331 ± 0.138 ind./trap/night).
Sampling
Data was collected in 2021, using a roving creel survey, a method recommended for estimating catch and effort data for geographically dispersed fisheries (Pollock et al., 1994). Two types of creel surveys were conducted: seasonal survey and monthly survey implemented for 30 days and 14 days respectively. The seasonal creel surveys were conducted bi-annually focusing on both wet season (April) and dry season (October). Each survey was conducted across three strata: Lukulu (upstream invasion edge), Mongu (invasion core) and Senanga (downstream invasion edge) (Fig. 1). The monthly creel surveys were conducted every month from June to September in the Mongu stratum. For data collection, an electronic based questionnaire was utilised, accessed through the ODK Collect App (version 1.30.1) installed on Lenovo phone tablets. The questionnaire was semi-structured, consisting of both open-ended and closed-ended questions (Appendix 1). Seven trained field enumerators (2 in Lukulu, 3 in Mongu and 2 in Senanga) moved randomly through their designated strata and interviewed fishers on landing sites of villages/fishing camps returning from fishing as well as those still fishing in various water bodies across the floodplain.
A
During each interview, fish caught were sorted into categories based on how they are sold by fishers on the Barotse floodplain, and fish within each category were identified using Skelton (2001). The fish catch categories were: Catfish (Clarias gariepinus, Clarias ngamensis, Clarias stappersii, Clarias theodorae), African Pike (Hepsetus cuvieri), Tigerfish (Hydrocynus vittatus), Redbreast Tilapia (Coptodon rendalli), Threespot Tilapia (Oreochromis andersonii), Purpleface Largemouth (Serranochromis macrocephalus), Largemouths (Serranochromis spp.), Sargos (Sargochromis spp.), Other Large Breams, Small Breams (< 10cm – any bream under 10 cm, such as Pharyngochromis acuticeps, Pseudocrenilabrus philander), Silver Catfish (Schilbe depressirostris), Small Mixed Mormyrids (Hippopotamyrus ansorgii, Petrocephalus okavangensis, Pollimyrus marianne), Bulldog (Marcusenius altisambesi), Synodontis (Synodontis spp), Robbers/ Alestidae (Micralestes acutidens, Brycinus lateralis, Rhabdalestes maunensis), Mixed Small Fish (Cyprinidae, Mormyridae and juveniles of Cichlidae usually sold as a unit in hand, bucket or scoop). Within each fish category, undamaged (whole) and (crayfish) damaged individuals were separated and the weight (kg) of each were recorded using a digital scale. Damage due to crayfish was determined by presence of slicing wounds on the fish and/ crayfish in the net. Slicing wounds are synonymous with crayfish and different from other scavenging predators, like crocodile and terrapins, which tend to cause loss of substantial parts of the fish (Chakandinakira et al., 2023). A maximum of 15 randomly selected individuals from each damaged fish category were further inspected and body parts damaged were recorded. The damaged parts were classified into the following categories, fins, mouth, eyes, stomach, skin and gills. Additional information on fishing effort (number of days fished per week), crayfish presence, gear damage and time lost due to crayfish was also recorded during the interview.
To make seasonal comparisons, analysis of crayfish encounters and abundance, prevalence of fish damage and gear damage and time cost were all based on the seasonal creel surveys. Detailed analysis of fish damaged (i.e., daily catch rate and species composition of spoiled fish) by crayfish as well as associated economic cost was limited to gillnets (~ 100 m net/night) as they accounted for most of the damage. This analysis only incorporated fish damages incurred in Mongu stratum during the dry season. Fish damaged in Mongu stratum (wet season) as well as that of Senanga stratum (both wet and dry season) were not available for quantification as it was considered insignificant by the fishers and discarded spoiled fish, before the time of the interview (N. Nawa, pers. obs.). Lukulu stratum on the other hand was excluded due to lack of fish damage from the surveyed catches.
In-depth analyses of fish damaged in Mongu during dry season were based on the monthly creel surveys given the small sample size from the seasonal creel survey (i.e., October). Two monthly periods (June-July and August September) and habitat type (lentic vs lotic) were used to assess the dynamics of fish spoilage in Mongu stratum during dry season. For standardisation purposes, all analyses were based on individual fishers who had completed fishing at the time of interview implying that daily fishing effort was comparable. Monetary losses arising from gear damage were not determined due to insufficient information for cost quantification (i.e., frequency of gear replacement and/or repairs as well as associated monetary cost).
Data Analysis
Crayfish encounter and abundance
Crayfish encounter and abundance was expressed as a relative percentage frequency of the total number of fishers who encountered crayfish and number of crayfish caught per season within each stratum respectively. Chi-square goodness of fit test was used to analyse the prevalence of crayfish encounter and relative abundance across season and strata.
Fish damage
Prevalence of fish damage was expressed as a relative percentage frequency of the total number of fishers’ who encountered fish damaged by crayfish per season within each stratum. To assess the prevalence of fish damage among fishers between season and across strata, a Chi-square goodness of fit test was used. Daily catch rate was expressed as individual catch per unit effort (CPUE) and calculated for both spoiled fish and intact fish. The calculation was adapted from AES & WWF (2017) as follows:
(1)
CPUE for spoiled fish (CPUEspoiled) = kg(spoiled) · fisher-1 · d-1
(2)
CPUE for intact fish (CPUEintact) = kg(intact) · fisher-1 · d-1
To assess whether there was a difference in CPUEspoiled across habitat (i.e., lentic, and lotic) and months (i.e., June-July and August-September) overall fish catch was taken into account by calculating the ratio of CPUEspoiled : total fish catch (CPUEspoiled + CPUEintact). The ratio was arcsine square root transformed and then used as response variable in a Generalised Linear Model (GLM) with a log link after checking for residual distribution and overdispersion. To determine whether fish damaged was related to the crayfish caught as by-catch in gillnets, Spearman Rank Correlation test was performed on the arcsine square root transformed ratio and the number of crayfish caught. To assess species specific damage relative composition of fish species spoiled was expressed as a percentage of the total weight (kg) of catch.
Total damage cost estimation
Calculation of total monetary loss incurred by fishers through fish damage was adapted from Chakandinakira et al. (2023) and expressed as follows:
(3)
Monetary loss per fisher per day = CPUEspoiled (kg · fisher-1 · d-1) × Average price of fresh fish per kg
(4)
Monetary loss per fisher per year = Monetary loss per fisher per day × Effort (days fished per sampling period)
(5)
Total Monetary loss per year = Monetary loss per fisher per year × Number of gillnet fishers incurring fish damage
Fishing effort was expressed as mean number of days fished per week during a sampling period. Effort was upscaled based on six months of dry season period (June to November) excluding three months fish ban period (December to February). The proportion of gillnet usage was used to determine the number of gillnet fishers from the total population of fishers reported in the 2019 Frame Survey (DOF, 2019).
Gear damage
Gear damage was expressed as a relative percentage frequency of the total number of fishers whose fishing gear was damaged by crayfish per season within each stratum. Chi-square goodness of fit test was used to test the difference in proportion of fishers with damaged gear across seasons and strata.
Time cost
Time cost was expressed as a relative percentage frequency of the total number of fishers who lost time due to crayfish presence per season within each stratum. The Chi-square test of independence and chi-square goodness of fit test were used to difference in proportion of fishers who lost time during fishing due to crayfish across season and strata.
Results
A total of 590 catch interviews were conducted across the three strata during the 30-day wet and dry creel surveys. Mongu stratum accounted for most of the interviews followed by Senanga and Lukulu strata (Table 1). The 14-day creel surveys conducted in Mongu stratum from June to September yielded a total of 422 interviews. The month of June had the highest number of interviews followed by July, August, and September (Table 2).
Table 1
Number of fishers interviewed during the 30-day creel surveys conducted in wet and dry season across three strata (Senanga, Mongu and Lukulu) on the Barotse floodplain.
Stratum
Season
Total
Wet
Dry
Senanga
109
79
188
Mongu
89
118
207
Lukuku
74
121
195
TOTAL
272
318
590
Table 2
Number of fishers interviewed during 14-day creel surveys conducted in dry season (June to September) in Mongu stratum on the Barotse floodplain.
Month
June
July
August
September
Total
Number of interviews
137
128
118
39
422
Crayfish encounter and abundance
Fishers encountered crayfish in nine out of 17 fishing gear types with the most frequent encounter occurring in seine nets, gillnets, drift gillnet, hook and line and mosquito nets (Table 3). Overall, 22.7% (n = 134) of interviewees caught crayfish in their fishing gear across the floodplain. The proportion of fishers who encountered crayfish was significantly different across the strata (𝜒2 = 18.22, df = 2, < 0.01). The proportion of fishers who encountered crayfish was significantly higher in Mongu (52.2%) than Senanga (29.9%) (𝜒2 = 7.44, df = 1, < 0.01) and Lukulu (17.9%) (𝜒2 = 23.94, df = 1, p < 0.01) while the proportion in Senanga was significantly higher than Lukulu (𝜒2 = 6.25, df = 1, p < 0.05). A higher proportion of fishers encountered crayfish in their gear during dry season (76.9%) than wet season (23.1%) (𝜒2 = 28.87, df = 1, p < 0.01).
Table 3
Percentage of fishers encountering crayfish in their fishing gear in wet and dry season across three strata (Senanga, Mongu and Lukulu) on the Barotse floodplain
Fishing gear
Senanga
Mongu
Lukulu
Overall
Wet
Dry
Wet
Dry
Wet
Dry
Seine net
10.00
63.33
12.50
48.15
 
78.95
47.01
Gillnet
60.00
16.67
68.75
33.33
40.00
15.79
33.58
Drift gillnet
30.00
16.67
-
3.70
40.00
-
8.96
Hook and line
-
-
-
9.26
-
-
3.73
Mosquito seine < 5m
-
3.33
6.25
3.70
-
5.26
3.73
Reed basket scoop
-
-
-
1.85
-
-
0.75
Large mesh reed trap
-
-
6.25
-
-
-
0.75
Small mesh reed trap
-
-
6.25
-
-
-
0.75
Fish weir floodplain
-
-
-
-
20.00
-
0.75
A total of 1235 crayfish were caught in 9 fishing gears across the floodplain. Five fishing gears (i.e., seine nets, gillnets, drift gillnet, and mosquito net) together accounted for 98.5% of crayfish catch (Table 4). The proportion of crayfish caught in fishing gears was significantly different across the strata (𝜒2 = 49.33, df = 2, < 0.01). A significantly higher proportion of crayfish was caught in Mongu (62.4%) than Senanga (32.5%) (𝜒2 = 9.97, df = 1, < 0.01) and Lukulu (5.1%) (𝜒2 = 72.07, df = 1, p < 0.01) while that of Senanga was significantly higher than Lukulu (𝜒2 = 53.06, df = 1, p < 0.01). A higher proportion crayfish was caught during the dry season (90.1%) than wet season (9.9%) (𝜒2 = 64.39, df = 1, p < 0.01).
Table 4
Percentage of crayfish caught in fishing gear during wet and dry season across three strata (Senanga, Mongu and Lukulu) on the Barotse floodplain
Fishing gear
Senanga
Mongu
Lukulu
Overall
Wet
Dry
Wet
Dry
Wet
Dry
Seine net
12.50
43.49
26.32
76.69
-
85.96
61.86
Gillnet
35.00
5.54
55.26
20.58
50.00
10.53
18.46
Drift gillnet
52.50
42.66
-
0.72
33.33
-
14.74
Mosquito seine < 5m
-
8.31
3.95
1.01
-
3.51
3.40
Small mesh reed trap
-
-
10.53
-
-
-
0.65
Hook and line
-
-
-
0.72
-
-
0.40
Large mesh reed trap
-
-
3.95
-
-
-
0.24
Reed basket scoop
-
-
-
0.29
-
-
0.16
Fish weir floodplain
-
-
-
-
16.67
-
0.08
Fish damage
Fish damage due to crayfish, ranged from 95.7% (n = 22) for gillnets users to 2.7% (n = 1) for small mesh reed traps. Among gillnets users, fish damage due to crayfish was only detected in Mongu and Senanga strata. The proportion of fishers with fish damage was significantly higher in Mongu (86.4%) than Senanga (13.6%) stratum (𝜒2 = 52.89, df = 1, p < 0.01). Within Mongu stratum, the proportion of gillnet users who encountered damaged fish was significantly higher during dry season (84.2%) than wet season (15.8%) (𝜒2 = 40.50), df = 1, p < 0.01).
The monthly surveys conducted in Mongu stratum during dry season (June-July) yielded a 68.2% (n = 158) fish damage encounter rate among gillnet fishers. Neither season nor habitat had a significant main effect on the CPUEspoiled (Table 5). There was significant interaction between habitat and season (Table 5) on the ratio of CPUEspoiled, where fish damage during dry (June-July) was higher in lentic than lotic habitat while during wet August-September months it was higher in lotic than lentic habitats (Fig. 2; Table 5).
Table 5
Model terms for all factors from GLM with a gamma distribution used to determine effects of factors “habitat” and “season” on CPUE. Type 3 Anova and χ2 used to report the effect size of a factor on the dependent variable.
Model term
Chisq
df
p-value
Habitat
5.21
1
0.08
Months
35.05
1
0.91
Habitat * Months
15.61
1
< 0.05
Fig. 2
Arcsine square root transformed ratio of CPUEspoiled: (CPUEspoiled + CPUEintact) of fish catch in gillnets in lentic (dark green) and lotic (light green) habitats during the months of June-July and August-September across Mongu stratum. Error bars represent 95% confidence intervals.
Click here to Correct
There was a significant, weak relationship between ratio of spoiled: intact fish CPUE and number of crayfish caught in gillnets (R = 0.37, p < 0.01). In 12.7% of the cases, typical crayfish damage marks were recorded on different fish species caught but no crayfish were found in the nets implying crayfish are not always retained in gillnets.
Damage marks were found on 15 fish species/groups out of the 21 that were harvested in gillnets across Mongu stratum (Table 6). The five most damaged fish species/groups were Clarias spp., S. macrocephalus, Sargochromis spp., C. rendalli, and Small Breams (Table 6). Cichlids together accounted for 50.0% of the total fish damaged (Table 6).
Table 6
Percentage composition of fish species/group by total weight harvested and weight damaged by crayfish during dry season in Mongu stratum on the Barotse floodplain.
Common name/group
Scientific name (s)
Total weight (%)
Weight Damaged (%)
Catfishes - all types
Clarias spp. (C. gariepinus, C. ngamensis, etc.)
21.22
41.67
Purpleface Largemouth
S. macrocephalus
9.88
18.81
Sargos
Sargochromis spp.
6.79
11.63
Redbreast Tilapia
C. rendalli
12.44
9.34
Small Breams < 10cm
Any bream < 10cm (P. acuticeps, P. philander)
8.80
7.41
Robbers
M. acutidens, B. lateralis, R. maunensis
10.03
4.92
Other Largemouths
Serranochromis spp
1.47
2.34
Threespot Tilapia
O. andersonii
2.03
0.98
Mixed Small Fish < 10cm
(Cyprinidae, Mormyridae and juveniles of Cichlidae)
17.44
0.81
African Pike
H. cuvieri
0.09
0.55
Bulldog
M. altisambesi
5.15
0.49
Other Large Breams
-
0.25
0.43
Squekers
Synodontis spp
1.26
0.34
Silver Catfish
S. depressirostris
0.89
0.15
Tigerfish
H. vittatus
0.38
0.13
Western Bottlenose
M. lacerda
0.32
-
Climbing Perch
C. multispine
0.02
-
Redeye Labeo
L. cyndricus
0.07
-
Nembwe
S. jallae
0.07
-
Small Mixed Mormyrids
H. ansorgii, P. okavangensis, P. marianne
1.33
-
Yellowfish
L. codringtonii
0.08
-
A total of 782 individual fishes from all 21 fish species/group harvested were subjected to detailed inspection for body damage. The frequently damaged parts identified were fins (81.2%), mouth (69.9%), eyes (67.1%), stomach (64.1%), skin (51.3%) and gills (42.2%). According to fishers, 54.9% of the damaged fish was to be kept for consumption, 14.1% given to domestic animals, and 31.0% discarded.
Total cost estimation
A
Daily catch loss of 0.20 kg · fisher− 1 · d− 1 averaged over a four-month period across Mongu stratum equates to the monetary loss of US$ 0.68 fisher− 1 · d− 1 (Table 7). The daily monetary loss is 17.13% of the fishers’ daily income (US$ 3.97). The cost assessment is based on the 2021 average market price of US$ 3.42 per kg for fresh fish sold on the Barotse floodplain. The average weekly fishing effort over 4 months is 6.46 days per week and translates to 168.86 fishing days from June to November. Using this fishing effort, the monetary loss per fisher per year is US$ 114.83 (Table 4.8). The population of 1672 fishers in Mongu stratum (DOF, 2019) with a 16.5% gillnet usage during the dry season (AES & WWF, 2022) gives 276 as the estimated number of gillnet fishers. Based on the 68.2% fish damage encounter rate among gillnet users in Mongu stratum during dry season, the number fishers incurring fish damage is 188. Using these values, the total monetary loss per year for the Barotse floodplain landscape as represented only by the Mongu stratum is US$ 21, 586.76 (Table 7).
Table 7
Monetary losses incurred to fishers because of crayfish damage in Mongu stratum on the Barotse floodplain
 
Weight value (kg)
Monetary value (US$)
Daily catch loss/fisher/day
0.20
0.68
Annual catch loss/fisher/year
33.77
114.82
Total annual loss
6, 348.76
21, 586.16
Gear damage
Of fishers who encountered crayfish, 36.6% incurred gear damage caused by crayfish. Three types of fishing gears were damaged with gillnets being the most frequently damaged across the Barotse floodplain (Table 8). The proportion of fishers with damaged fishing gear was significantly different across strata (𝜒2 = 40.67, df = 2, p < 0.01). The proportion of damaged fishing gear in Mongu (61.2%) was significantly higher than Senanga (28.6%) (𝜒2 = 13.22, df = 1, p < 0.01) and Lukulu (10.2) (𝜒2 = 51.02, df = 1, p < 0.01) while that of Senanga was significantly higher than Lukulu (𝜒2 = 22.44, df = 1, p < 0.01). The proportion of fishers with fishing gear damaged by crayfish in dry season (71.4%) was significantly higher wet season (28.6%) (𝜒2 = 18.37, df = 1, p < 0.01). The two major causes of gear damage identified by fishers were crayfish entangling fishing gear (41.6%) and gear getting cut through crayfish removal (29.9%).
Table 8
Percentage of fishers with fishing gear damaged by crayfish during wet and dry season across three strata (Senanga, Mongu and Lukulu) on the Barotse floodplain.
Fishing gear
Senanga
Mongu
Lukulu
Overall
Wet
Dry
Wet
Dry
Wet
Dry
Gillnet
75.00
30.00
88.89
76.19
100.00
50.00
67.35
Seine net
25.00
50.00
11.11
19.05
0.00
50.00
26.53
Drift gillnet
0.00
20.00
0.00
4.76
0.00
0.00
6.12
Time cost
Overall, 91.8% fishers who caught crayfish experienced loss of time during fishing due to the presence of crayfish in their fishing gear. Loss of time was incurred by fishers in eight fishing gear types (i.e., seine nets, gillnet, drift nets, mosquito seine, hook and line, large mesh reed trap, small mesh reed trap and reed basket scoop). Seine nets accounted for 44.7% of fishers who lost fishing time while gillnets and other fishing gear combined accounted for 35.8% and 19.5% respectively. About 7.3% of fishers from both Mongu and Senanga during dry season lost over 25 minutes of fishing time (Table 9). The proportion of fishers who lost time was significantly different across strata (𝜒2 = 31.21, df = 2, p < 0.01). The proportion in Mongu (56.9%) was significantly higher than Senanga (31.7%) (𝜒2 = 8.09, df = 1, p < 0.01) and Lukulu (11.4%) (𝜒2 = 44.44, df = 1, p < 0.01) while that of Senanga was significantly higher than Lukulu (𝜒2 = 22.25, df = 1, p < 0.01). The proportion of fishers who lost time was significantly higher in dry season (77.2%) than wet season (22.8%) (𝜒2 = 29.67, df = 1, p < 0.01).
Table 9
Percentage of fishers who lost fishing time due to crayfish during wet and dry season across three strata (Senanga, Mongu and Lukulu) on the Barotse floodplain.
Time lost (minutes)
Senanga
Mongu
Lukulu
Overall
Wet
Dry
Wet
Dry
Wet
Dry
< 10
100.00
64.91
65.22
63.11
100.00
66.67
66.18
10–24
 
24.56
34.78
21.36
 
33.33
23.19
25–39
 
10.53
 
10.68
  
8.21
40–54
   
4.85
  
2.42
Discussion
This study provides the first in field quantification of economic cost associated with C. quadricarinatus invasion on the Barotse floodplain of the Upper Zambezi system. Both crayfish encounter and abundance among fishers depends on season and invasion gradient. Fish damage due to crayfish was limited to gillnets at the invasion core during the dry season and equated to the monetary loss of ~ US$ 22,000 per annum. Our estimates for monetary loss is limited to Mongu but this is predicted to cascade across the floodplain as the invasion progresses. Thus, the monetary loss from gillnets is predicted to increase beyond US$ 50,000 per annum. The entire floodplain has high poverty rates and low economic status (WorldFish Center, 2007), Understanding economic cost associated with IAS has become very important as it informs resource management and policy development aimed at preventing and managing the arrival and spread of IAS species (Diagne, Leroy, et al., 2021; Seebens et al., 2021).
The high encounter rate of C. quadricarinatus among fishers at the invasion core compared to the invasion edges matches the invasion gradient throughout the floodplain (Nawa et al., 2024). The high crayfish encounter and abundance among fishers perhaps explain why significant fish damage was only detected at the invasion core. Despite C. quadricarinatus being caught in various fishing gears, fish damage due to crayfish was exclusively incurred in gillnets, similar to prior studies (Lowery & Mendes, 1977; Weyl et al., 2017; Chakandinakira et al., 2023). Gillnets are passive gears which are are set overnight whereby C. quadricarinatus are attracted to the fish caught (Chakandinakira et al., 2023). During the dry season, low water and reduced resources concentrate higher numbers of C. quardicarinatus into smaller areas which again exacerbates the damage extent (Nawa et al., 2024).
Change in fishing methods during the dry season appears to influence the dynamics of fish spoilage on the floodplain. Lentic habitat gillnetting incurs higher crayfish scavenging compared to lotic habitats, this is compounded by the higher abundance of C. quadricarinatus in these habitats. This may be driven by scent odour plumes being diluted in running water (Larson & Olden, 2016). Crayfish were infrequently retained on the gillnets indicating that further assessments need to be performed as a multi-method assessment with standardised sampling for crayfish (Madzivanzira et al., 2021a, b; Chakandinakira et al., 2023).
Fish that are damaged are considered unmarketable and not suitable for sale (Madzivanzira et al., 2020; 2022; Chakandinakira et al., 2023;). Damaged catch is either kept for home consumption, fed to domesticated animals, or discarded. The most damaged fish species/group by C. quadricarinatus on the Barotse floodplain was Clarias spp. which is likely a facet of high relative abundance of this genus across the region (AES & WWF, 2024). Other fish species/group highly impacted by C. quadricarinatus are H. cuvieri, O. andersonii, S. macrocephalus, C. rendalli, Serranochromis spp. Unlike this study, the C. quadricarinatus invasion on Lake Kariba mostly affected Oreochromis niloticus even though Clarias spp. and C. rendalli are also affected in small proportion (Chakandinakira et al., 2023). The large cichlids are of high commercial value on the Barotse floodplain (Tweddle et al., 2010; 2015) and their spoilage directly impacts fishers’ capacity to generate income. The damage caused to low value species such as robbers, mixed small fish, Synodontis spp., Schilbe depressirostris, and small mixed mormyrids is comparatively smaller. Damage caused may have significant implications on the livelihoods of people in the regions as the low value fish species/group now form a more reliable source of protein amidst declining stock of cichlids (Tweddle et al., 2015; AES & WWF, 2024; South et al. 2025). Such smaller fish species and size-classes are also associated with important micronutrients such as vitamin A, Iron and Zinc (Kawarazuka & Béné, 2011; Islam et al., 2023)
The impact of C. quadricarinatus on the Barotse floodplain is a major food security concern, given the high poverty levels in the region (ZSA, 2023). The total economic cost calculated for the fishery is approximately US$ 21,586.16 per year with each fisher losing about US$ 114.82 annually. The damaged fish represents 1.4% of the total annual fish harvest in Mongu stratum during dry season (AES & WWF, 2022). Although overall loss seems small, taking into consideration the annual average household income of 345.28 US$ estimated for the fishing communities on the Barotse floodplain (AES & WWF, 2022), the annual cash loss at individual level is about 33.25% representing a significant detriment to human wellbeing. The economic cost to the fishery is likely to increase in future as C. quadricarinatus spread further and become more abundant across the landscape.
The economic cost calculated in this study, is much lower than that for Lake Kariba which is approximately half a million US dollars (Chakandinakira et al., 2023). This may be due to two reasons, first Lake Kariba’s fishery has a far higher yield than the Barotse floodplain fishery, thus there is more chance of crayfish encounter (DOF, 2017). Secondly, the Lake Kariba invasion core was established 10 years prior to the Barotse floodplain, thus crayfish are more abundant and larger than in the Barotse floodplain (Madzivanzira et al., 2021a). The stable lacustrine environment of Lake Kariba characterised by slow or static water ideal for C. quadricarinatus (Wingfield, 2002; Haubrock et al., 2021) may have facilitated quicker establishment resulting in higher economic costs. Similarly, lacustrine conditions created by the dammed Kafue River may explain why reported crayfish damage to fishers’ catch is estimated as high on the Kafue flats (Weyl et al., 2017) although associated cost are yet to be quantified.
The potential economic cost on the Barotse floodplain fishery may be much higher than estimated cost from fish damaged given prevalence of gear damage and loss of time. Thin monofilament nets are easily broken and entangled (AES & WWF, 2022; N. Nawa pers. obs) thus monetary losses from gear damage may be considerable. The loss of fishing time as a result of gear reparation and loss of gear efficiency due to crayfish entanglement are similarly unaccounted for in this study (Weyl et al., 2017; Madzivanzira et al., 2022; Chakandinakira et al., 2023). Therefore, both economic costs from gear damage as well as loss time may be adversely impacting the livelihood of fishing communities on the Barotse floodplain.
As economic costs associated with C. quadricarinatus increase on the Barotse floodplain, fishers may increase their fishing effort and resort to use of illegal fishing methods to make up for the lost catch (Chakandinakira et al., 2023). Considering that the use of illegal methods such as water beating ‘kutumpula’, monofilament gillnets, mosquito nets and large seine nets with small mesh size is already rampant on the floodplain, sustainability of the fishery is seriously under threat (Peel et al., 2014; Tweddle et al., 2004; AES & WWF, 2022;). Large commercially valuable cichlids which are already under severe fishing pressure (Peel et al., 2014; Tweddle et al., 2015; AES & WWF, 2022), risk disappearing altogether. Thus, apart to impacting the livelihood of people through economic cost, potential behavioural shift to unsustainable fishing practices as a coping strategy to C. quadricarinatus invasion threatens the biodiversity of fish species on the Barotse floodplain.
Biological invasion poses a serious threat to the livelihood of people, especially in developing countries, as they lack the economic capacity to counteract invasion cost (Diagne et al., 2021). Evidence from this study shows that artisanal fishers on the Barotse floodplain incur economic costs associated with the invasion C. quadricarinatus. Although the costs are limited to the invasion core, the impact on the livelihood of local people is quite significant. Expansion of this population from the core outwards could significantly increase these impacts in the future. As crayfish invasions continue to expand in range across Southern Africa, this will exacerbate the dire lack of food security and high poverty levels in the region. To attain sustainable development goals, South African Development Community countries will have to prioritise prevention and management of non-native species invasions. Given complex socio-economic situations in most African countries, estimation of invasion cost will be very critical in aiding decision to allocate limited resource towards management of invasive species.
A
Conflict of interest statement
The authors declare no conflict of interest.
A
Data availability statement
Data from this research will be made available on Dryad upon acceptance
A
Author Contributions
All authors conceived the ideas and designed the methodology; Nawa Nawa collected the data; Nawa Nawa, Josie South and Takudzwa C. Madzivanzira analysed the data; Nawa Nawa, Josie South, Bruce R. Ellender, Josephine Pegg, Tukudzwa C. Madzivanzira and Ryan J. Wasserman led the writing of the manuscript. All authors contributed critically to the drafts and gave final approval for publication.
Acknowledgements
This study was supported by the Department of Science and Innovation (DSI) through the National Research Fund (NRF)–South African Research Chairs Initiative (Inland Fisheries and Freshwater Ecology, grant no. 110507) and the Worldwide Fund for Nature (WWF) Upper Zambezi Programme that is funded by DOB Ecology; JS acknowledges funding from the UKRI Future Leaders Fellowship grant/award no. MR/X035662/1. We acknowledge the use of infrastructure and equipment provided by the NRF-SAIAB Research Platform as well as the funding channeled through NRF-SAIAB Institutional Support system. We also thank the Aquatic Ecosystem Services (AES) for facilitating the use of digital questionnaires during data collection. The Zambian Department of Fisheries are thanked for issuing research permits. Ethics clearance was acquired through Rhodes University Animal Ethics Committee (ethics approval no. 2020-1444-4697).
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References
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Total words in MS: 6053
Total words in Title: 15
Total words in Abstract: 277
Total Keyword count: 5
Total Images in MS: 2
Total Tables in MS: 9
Total Reference count: 46