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Potential Impact of Climate Change on Lake Malawi Chambo

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Potential Impact of Climate Change on Lake Malawi Chambo osystem & c E f E c Makwinja and M’balaka, J Ecosyst Ecography 2017, 7:1 o o l g a r n a DOI: 10.4172/2157-7625.1000227 r p u h y o J Journal of Ecosystem & Ecography ISSN: 2157-7625 Research Article Article Open Access Potential Impact of Climate Change on Lake Malawi Chambo (Oreochromis spp.) Fishery Makwinja R1* and M’balaka M2 1Department of Physics and Biochemical Sciences, The Polytechnic, University of Malawi, Private Bag 303, Blantyre 3, Malawi 2Monkey Bay Fisheries Research Station, P. O. Box 27; Monkey Bay, Malawi Abstract The study focusing on potential impact of climate change on Chambo (Oreochromis spp.) fishery was conducted in the west coast of Lake Malawi, Nkhotakota using 1991 to 2015 univariate time series data of Chambo catch (metric tons), atmospheric temperatures (°C) and annual precipitation (mm). The Chambo catch data were obtained from Monkey Bay Fisheries Research Station of the Malawi Fisheries Department and the data for temperature and annual precipitation was obtained from Meteorological Department. Using regression models, the study revealed a positive strong correlation between the annual precipitation and annual Chambo catch trend. The coefficient of polynomial regression model (R2) revealed that 74.89% of variation in Chambo annual catch trend was due to annual precipitation (mm). The t-value for temperatures (t=0.853) was not significant (P>0.05), while that of precipitation (t=6.418) was significant (P<0.05) suggesting that annual precipitation significantly influenced the annual Chambo catch trend. The study apparently showed that climate change significantly affects the total landed catch of Chambo in Lake Malawi. Keywords: Climate change; Chambo; Precipitation; Temperature; Materials and Methods Lake Malawi Study area Introduction The study was conducted on the western part of Lake Malawi in Climate change has emerged to be a serious threat in many Nkhotakota district which borders with Nkhata Bay District to the different parts of the world. In Malawi, serious effects of climate North, Mzimba District to the North West, Kasungu District to the change particularly on water resources have been evidenced by several West, Ntchisi District to the South West and Salima District to the authors. For instance, Fujihara et al. [1], Matondo [2] and Tate et al. South and also shares an international boundary with the Republic of [3] observed serious implication of climate change on water resources Mozambique to the East (Figure 1). The district is 200 km North West in Malawi. Calder concluded that the changes in the rainfall season, of Lilongwe, the capital city of Malawi and 358 km from Blantyre, the pattern and temperature, and changes in the frequency of droughts main commercial and financial city and 240 km from Mzuzu city. In and floods as well as significant variations in Lake Malawi and river terms of fishery, the district has a shoreline distance of approximately levels are evidence of climate change in Malawi. Harrod indicated 250 km and is coded as stratum 5. The district has a total number of five that climate change has had a major historical influence on global biodiversity and will continue to impact the structure and function of minor strata from 5.1 through 5.5 and according to 2015 annual frame natural ecosystems, including the provision of natural services such as survey results, 8352 people are directly employed by the fishery [8]. fisheries. Although no adequate scientific records were kept to provide Data collection empirical evidence regarding the negative impact of climate change on lake Malawi fishery, ample evidence suggests that the global mean The univariate time series data of total commercialOreochromis temperatures which have increased from 0.3°C to 0.6°C in the last spp. fish catch from western part of Lake Malawi was used. Catch data century is an indicator of serious threats on the survival of both marine from 1991 to 2015 was obtained Monkey Bay Fisheries Research Unit of and fresh water fish species [4,5]. the Malawi Fisheries Department. The catch assessment survey (CAS) is designed by the Fisheries research section to collect data on the Evidently, Oreochromis spp. (Oreochromis karongae, Oreochromis amount of fish caught in the whole system per month. The technique lidole and Oreochromis squamipinnis) collectively known as Chambo involves random selection of a series of fishing or landing sites within used to contribute about 75% of the annual native and artisanal the established sampling frame. The selection of the sampling sites catch in Malawi [6]. Presently, this figure has declined significantly. Though, it is reported that the decline is considerably attributed to a number of cross cutting and sector specific factors such as over- *Corresponding author: Makwinja R, Department of Physics and Biochemical fishing, illegal fishing mainly due to weak enforcement of regulations, Sciences, The Polytechnic, University of Malawi, Private Bag 303, Blantyre 3, habitat destruction, violation of closed seasons, catchments damage, Malawi, Tel: +265 1 526 622; E-mail: [email protected] violation of protected areas, a serious threat of climate change on the Received February 08, 2017; Accepted March 23, 2017; Published March 27, growth and survival of Oreochromis spp. cannot be negated mostly 2017 in the west coast of Lake Malawi, Nkhotakota district where adverse Citation: Makwinja R, M’balaka M (2017) Potential Impact of Climate Change on effects of climate change are very apparent [7]. Therefore, the study was Lake Malawi Chambo (Oreochromis spp.) Fishery. J Ecosyst Ecography 6: 227. doi:10.4172/2157-7625.1000227 designed to provide new insights on the extent at which climate change significantly affects the overall production ofOreochromis spp. in the Copyright: © 2017 Makwinja R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits western part of Lake Malawi while considering its breeding behaviour unrestricted use, distribution, and reproduction in any medium, provided the and habitat preference. original author and source are credited. J Ecosyst Ecography, an open access journal Volume 7 • Issue 1 • 1000227 ISSN: 2157-7625 Citation: Makwinja R, M’balaka M (2017) Potential Impact of Climate Change on Lake Malawi Chambo (Oreochromis spp.) Fishery. J Ecosyst Ecography 6: 227. doi:10.4172/2157-7625.1000227 Page 2 of 5 600000 620000 640000 660000 a g n Dw au a m K ba Nkhota kota Distric t zi Dw a m ba zi D w a m b a z i %U F o r e s t 8 6 0 4 0 0 0 R e s e r v e Ka sito 0 0 0 4 %U 0 6 8 Ng a la i %U Lege nd w U% Trading C entre N 8 U% 0 Boma 6 2 0 a 0 Ka nye nd a %U 0 0 District B oundary 0 2 0 6 Main Road 0 8 %U l Secondary Road Dw a ngwa River Track/Footpath a a ngw Wetland/Dambo a w D Protected area M 8 0 6 0 0 0 0 0 0 0 0 6 0 8 e N k h o t a k o t a k B u a W i l d l i f e a 8 L 0 5 0 8 0 R e s e r v e 0 0 0 8 0 5 0 8 C homb o %U Nk hota k ota %U Bom a La ke C hikukutu (La ke C hiling a li) a u B 8 0 5 0 6 0 0 0 %U Sa ni 0 6 0 5 e 0 b 8 m o a ba ra K Mba m %U C hong ole n o o g a %U C hia L a i a h o C ik N kh o t a - L 8 0 5 0 ko ta 4 0 0 0 0 4 0 5 a 0 liz 8 u Lif Re p ub lic of Ma la wi Mtosa Be ng a 8 0 %U 5 0 %U 2 0 0 0 0 2 0 5 Mw a d za ma 0 8 0 100 200 Km la %U ku N w a C hilu 600000 620000 640000 660000 0 20 40 60 Kilometers Date: Ja nua ry 2009 Figure 1: Map of Nkhotakota district shoreline. takes into Selection also takes into account mobility patterns among Multiple linear regression analysis the fishermen within the fishing community. Multiple regressions were performed in order to determine if the The actual survey at each sampling site takes into account all Chambo fishery catch trends are correlated and affected by climate fishermen or in the case of larger fishing communities sub-sampling change. The model used was as follows: of the fishermen may be required. The survey is conducted either by =++αβ β + β + β …+ β ε the interview method, whereby the required information is obtained Y 11xxxx 22 33 44 ii x (2) by questioning individual fishermen, or by the actual measurement of Where Y=dependent variable, α is the intercept and β , β , β ,…, β , the catch of the selected landings. Data on many other characteristics 1 2 3 i are the regression coefficients of x , x , x ,…, x respectively. of the fishery are also acquired at the same time. More detailed socio- 1 2 3 i economic information capable of identifying external constraints on Results the fishery is also obtained. Relationship between temperature (°C) and annual On the other hand, the air temperatures and rainfall data precipitation (mm) for Nkhotakota district from 1991 to 2015 was obtained from Meteorological department, Nkhotakota station Malawi. Fluctuation in air temperatures (°C) and precipitation (mm) Third order polynomial regression analysis during the period 1991 to 2015 is shown in Figure 1.
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