Friday, December 2, 2016

News from the Beach!

-So lets get the sad news out of the way quickly before we move on to the good stuff.  Unfortunately work on our poor research vessel has been put on hold due to its sinking.  A freak storm blew it off its mooring and it smashed against the rocks.  We are all in a bit of mourning here but don't worry our explorations of the lake will continue undetered!

- On the bright side we are looking forward to welcome our new Research Assistant Neha Acharya-Patel.  She will be arriving just after Christmas.  We will leave it to her to introduce herself when she arrives.  We've got big plans for next year so we are excited to welcome her aboard!

-Speaking of those plans next year the Maru is happy to announce that it will be working with Operation Wallacea from the United Kingdom to help educate students from all over the world about Lake Malawi.  Stay tuned for more info on this great new venture!

- We've also made one more step towards getting all of the data we collect at the Maru online in an informative, real-time, and interactive platform.  Getting the back end of this to work is still a challenge but to take a look at the pages we do have live go to www.themaru.org/research-conservation.html.  As always this is a work in progress but take a look around at the working links and let us know what you think!

-Finally summer is in full swing down here on the Lake and we are LOVING it. Hot sun, calm lake, and the water temperature just right.  The holidays are coming and there is no better place to spend them than a Kande Beach.  This year we are doing a whole pig on a spit for New's Years and you are all invited!
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Thursday, July 14, 2016

We're doing SASSE!




As part of our research at The Maru we monitor the water quality of three local rivers; the Kande River, the Masembe River and the Fua River. This month, alongside collecting data on water temperature, current, turbidity, pH and TDS (total dissolved solids), we have introduced a Stream Assessment Scoring System (miniSASS) to our water quality monitoring. This is a tool used to monitor the health of a river and measure the general quality of the water. MiniSASS scores the sensitivity to water quality of various macro-invertebrates living in rivers and classes the health of the river using five categories ranging from natural to very poor.


MiniSASS method:

At each site a small net is held in the current. Whilst ranging across the river to different habitats; stones, vegetation, sand etc. are disturbed using your feet or hands. After five minutes the content of the net is emptied into a white tray filled with some water. Using a magnifying glass, each insect is studied and identified using the dichotomous key (Figure 1). We are not concerned with the number of insects; we are simply interested in the presence or absence of a group. Each group found scores a certain number based on its sensitivity (Table 1). The sum of the sensitivity scores for each group found at the site is then divided by the number of groups to give an average. This average score is compared to the Ecological Category Table (Table 2) which tells us which health class the river is in.

Figure 1
The Dichotomous Key


Table 1
Sensitivity Score Table
Groups
Sensitivity Score
Flat worms
3
Worms
2
Leeches
2
Crabs or shrimps
6
Stoneflies
17
Minnow mayflies
5
Other mayflies
11
Damselflies
4
Dragonflies
6
Bugs or beetles
5
Caddishflies
9
True flies
2
Snails
4
Total Score
76
Number of groups
13
Average Score
5.8


Table 2
Ecological Category Table
Ecological category (condition)
River category
Sandy
Rocky
Unmodified (natural)
>6.9
>7.9
Largely natural/few modifications (good condition)
5.8-6.9
6.8-7.9
Moderately modified (fair condition)
4.9-5.8
6.1-6.8
Largely modified (poor condition)
4.3-4.9
5.1-6.1
Seriously/critically modified (very poor)
<4 .3="" o:p="">
<5 .1="" o:p="">


Whilst this water quality monitoring technique is still very new for The Maru, we have already found some interesting results. So far all of our sample sites fall in the ecological categories between unmodified (natural), and largely modified (poor condition). For examples as Figure 1 shows, the health class of each site along Kande River has varied from natural to poor within 4 weeks. More data is needed in order to see if this will stabilise and how conditions may vary seasonally. However, it is good to see that the majority of the samples (75%) are either ‘natural’ or ‘good’ and a smaller proportion of the data (25%) fall in the ‘fair’ and ‘poor’ categories.  





Figure 1. Graph showing the health class of 4 sites along Kande River over 4 weeks where an ecological score of 1 is ‘natural’, 2 is ‘good condition’, 3 is ‘fair condition’, 4 is ‘poor condition’ and 5 is ‘very poor’.




Our data will be uploaded onto the miniSASS website (www.minisass.org) in order to help map river health across Southern Africa. Once more research has been done using this method, communities can use the information and knowledge of the rivers to investigate why the river is in good condition and how to keep it that way or to identify pollution sources in areas of poor condition. Locals are already very interested and curious and enjoy learning about what we are doing and having a look at the insects we find. 

(This post was written by by Karin Johannson one of our current interns! Good job Karin!  To find out how you can intern or volunteer with us just CLICK HERE)
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Thursday, July 7, 2016

News from the Beach! Some analysis of our fisheries monitoring data

Well the windy season is in full swing down here at Kande Beach but we are keeping busy nonetheless.  Rob, our research assistant, has done a great job going through our fisheries monitoring program data.  See the results below!  And here is a nice photo of our current Maru team.  We have fun here too!





And now Rob's report -

Over the past four years, we here at the Maru have regularly undertaken fisheries surveys at the local fishing village of Masakuhunju.  This village is home to fishers who primarily target the “Utaka” fishery.  Utaka are cichlids in the genus Copadichromis. Our data provides us with three indicators of the pressure on these fisheries; fishing effort in terms of working canoes each day (both landed and boats still coming in when we arrive); total canoes at the village (both working and non-working – so as to provide an idea of the total number of fishermen operating out of the village at any given point; and finally total estimated landed catch. In order to calculate the total estimated landed catch we weigh 20% of the working canoes on the beach when we arrive. A mean figure is calculated for all the boats weighed, and this is extrapolated to 100% of the working boats.

Our findings thus far have enabled us to chart seasonal and annual patterns.

Figure 1 shows the total number of canoes in the village.

Figure 1.

We started recording this aspect of the dataset in late 2013, and for the most part we have counted somewhere in the region of 40-60 canoes each day. The only deviation from this is a clear peak occurring in the second half of 2014. The total number of canoes at Masakahunju almost doubles to around 80-100 canoes each day. This number did fall as the year closed out, and unfortunately apart from the end of 2013, data is insufficient for the third quarter of each other year we have been recording. This was due to having a lack of interns at the research centre during these months. One explanation for this pattern could be that because the windy season on the lake finishes around the end of July, a number of part-time fishermen use the seasonal opportunity to ply their trade at fishing, whilst holding a different occupation for the rougher months.

While total number of boats at the village is a relevant indicator of potential fishing pressure, it is a more telling statistic when compared to the total number of working canoes. Figure 2 shows how this number has varied over the past four years.

Figure 2.


The total number of working canoes shows very much a similar story to the total number of canoes at the village. For the most part, in the first half of the year the number varies between 10 and 20 boats going out each day; we see in the second half of 2014 that the numbers start to increase to almost double again (as with total canoes in the village), this time to around 20-30 boats each day. In general there are two more points of note in Figure 2 than in Figure 1. Firstly there seems to be very little working boats heading out for the entirety of 2015. Data was missing for August, September and December for that year, but the number barely exceeds a mean of 5 working canoes per day for any month that year. The second point of note is that in February 2016, the number of working canoes per day averaged just fewer than 30. This seems unseasonably high given all the data we have reviewed hitherto, as the figures for the month of February in 2013 and 2014 were half this and the figure for February in 2015 was as low as 3.8.

Perhaps our most direct indicator of fishing effort is the total estimated landed catch. Figure 3 shows the seasonal variation for the mean daily values in total estimated landed catch.


Figure 3.

Immediately one can some consistencies with the seasonal patterns of the other two indicators. For the first half of all four years the total estimated catch varies between 50 and 300lbs per day. Again, in 2014 this increases for the second half, and starts to fall in the final months of the year. Interestingly, in 2013 there is an increase in total estimated landed catch, though this appears to happen from October to December, slightly later than in 2014. The only other year in which there is data for any point in the fourth quarter is 2015 – and here for the months of October and November, the total estimated catch was between 350 and 400lbs on average each day. This is an impressive feat, as Figure 2 shows that very few boats were going out each day for any month that year.

We at the Maru are still in the process of going through the statistical analysis of this data, but these graphs allow us to make qualitative inferences on the amount of fishing pressure exerted by the fishermen at Masakahunju. In terms of working boats and total boats at the village, there seems to be a fair amount of sporadic variation between the daily, monthly and yearly scale. Crucially, 2015 showed fewer working canoes in general than the other years, yet their total estimated catches did not seem to be significantly lower than for 2013, 2014 or 2016. In the second half of 2014 there was evidently an increase in fishing pressure, as for all three indicators the figures effectively double, with the onset starting around the end of July. Whether this was just for 2014, or rather a typical seasonal pattern observed year in year out, is currently unclear due to the gaps in our dataset. Ultimately we can say that there has been no visible crash in the total estimated landed catch, and that has resulted in a seemingly similar stability in the total working boats, and total boats in the village; this would suggest that the fisheries in this part of the lake are currently being fished to a sustainable level.

The only way to know for sure, is of course to continue collecting this data, which is exactly what we intend to do.



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Saturday, June 4, 2016

It's coming! Our very own research vessel!


So we are really excited about this. To further our research capabilities at the Maru we have started constructing our own research vessel!  It will be fully equipped with a small laboratory, dive compressor and scuba gear, kitchen, lounge, solar electricity and beds for 8 researchers.  There are so many unexplored places in Lake Malawi, particularly in the north, and with this new boat we will be able to comfortably and afford-ably visit them like no one has!  As you can see from the picture it is still very much under construction but we hope to have our first researchers, interns, and volunteers move in in 2 months time.  Watch this space as we will be updating regularly with new pictures.

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Sunday, May 29, 2016

News from the Beach and Rob! Fisheries Monitoring at the Maru Edition

Every weekday morning, our research interns head down the lake shore to the local fishing village, leaving at 8.15 on the dot so as to coincide with the fishermen coming back from a long night’s fishing. Upon arrival in the village, locally referred to as Masakurunju, one can encounter as many as 60 wooden canoes scattered along the sandy shoreline, with the recently landed boats surrounded by groups of people, sorting through the fine gauge fishing nets that were cast across the deeper waters of the lake the night before. The catch invariably contains small open water fishes know as utaka in the local Chitonga. Most of these fish belong to the genus Copadichromis, a type of cichlid fish, and they make up a large proportion of the diet of the villagers in this immediate coastal region of Malawi, especially at this time of year.  Also potentially found in the catch are usipa – a sardine like fish, gongo – another cichlid and nkholokolo (synodontis njassae) - a small species of catfish with a mottled leopard style pattern.

At the Maru, we aim to collect baseline data, every week, over long periods of time. For the last four years we have strove to create a comprehensive data set for charts almost daily the fish caught at Masakahunju, the fishing conditions and the fishing effort (in terms of working boats). Data sets that track the same variables over such long time frames hopefully provide useful context and history about the exploitation of local fisheries in Lake Malawi that can be used by local people and government officials to make better environmental management decisions.

Incidentally, one of the real pleasures of walking to the fishing village everyday, is bumping into the beach venders; well spoken salesmen, of whom many have adopted bizarre names hailing from all sorts of random English words, phrases and celebrities. So far I have had the pleasure of meeting Sweet Bananas, Gift, Brown Bread, Michael Jackson, Sugar and Spice, Cheese on Toast, Spiderman, Donald Duck, Wiseman and my personal fave, Mel Gibson. These men earn a living by selling whatever bits and bobs they can to tourists, but it can also be helpful to have them around when the fish are being sorted from the nets, as their translation and enthusiasm make the whole process slightly less awkward.

For the fishermen themselves, it is a hard life. It is currently the windy season here at Kande, and conditions have oft been too choppy to go out in little one-man canoes. Sometimes the need for food and money is such that personal safety gets put aside and there is no other option but to brave the forces of the lake. But this is the harsh reality of living off the land in the manner that these people do. It is a difficult living, but for now it would seem there is ample food, enough to sustain the population in this part of the lake. Recalling that old adage of ‘give a man a fish and he can eat for a day, but teach a man to fish and he can eat for a lifetime’; well perhaps if we can learn to fish sustainably in other fisheries around the world, as it appears here, then people will be able to eat for more than just one lifetime but for the lifetimes of generations to come.

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Monday, May 9, 2016

Our first live Data Page is up!

For almost 5 years now we at the Maru have been conducting underwater population and biodiversity surveys of Lake Malawi's amazing cichlid fish living at Kande Island just 1 kilometer off of our beach.  Using scuba gear we have gone down almost every month to identify and record the numbers of about 35 different cichlid species that we believe are a good representative sample of the wider populations at the island.  And now you will be able to follow the results of all this work!  Every month we will update and upload the new data that we are collecting so that you can see how Lake Malawi's cichlids are faring at our survey sites wherever you might be in the world.  Right now you can see the data from our two longest running surveys, the "Kande Island" survey and the "Outer Reef" survey and very soon we will have pages dedicated to presenting all of the other data we collect, from water quality indicators, to the results of our bower grid surveys, to the data we collect on nearby fishing activity.  We believe that the more people know about Lake Malawi the more likely it will be cared for wisely.  So take a look at our first data page by clicking right here or by inputing www.themaru.org/data.html into your web browser and stayed tuned for more!
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Monday, April 4, 2016

News from the Beach! Rob's first post!

Immediately the first characteristic feature upon arrival in Malawi is its greenness. After being picked up by Justin at Lilongwe Airport, the four-hour drive North to Kande saw us traverse rolling hill after rolling hill. In my life, I have travelled Central America, Australia, South East Asia and other parts of Africa as well, and rarely has a place been so full of colour as Malawi. Nestled comfortably between Tanzania to the North, Zambia to the West and Mozambique to the South and East, Malawi is a relatively small, but densely populated little African nation. Previously known as Nyasaland while under British colonial rule, it is one of the poorest countries in the Eastern-Central African region, if not the whole continent. In spite of the socio-economic difficulties that Malawi has battled with over the 6 or so decades since colonial rule, it is widely considered to have some of the friendliest, relaxed locals that one can find in a developing country.

Perhaps the most famous aspect of this country is its Great Lake of the same name. Lake Malawi covers about 20% of the country’s area, providing food, livelihood, transportation and ecosystem services to some 13 million or so people. This lake is home to a family of teleost fish called Cichlids. These little freshwater critters are of particular interest to science due to their massive diversity. The lake holds close to 1,000 different species of Cichlids, all slightly different sizes, shapes and colours and all surviving and behaving in their own unique ecological manner, making it the most diverse lake in the world. Kande Island (less than a kilometre off shore from Kande Beach) alone is home to well over 100 species of cichlids. We also get some pretty hefty catfish (spotted on my second dive), crabs, snails, eels and sponges. There is even a family of otters, whom apparently live on the island and go hunting for fish in the late afternoon. It is a stunning ecosystem, of colour, movement and finesse and it is located right on our doorstep.

I will be based in Kande for the next 9 months, and in this time I hope to immerse myself in the local culture. Most people I have met so far are more than competent at speaking English, however, I intend to learn the local ChiTonga language. I also hope to gain a good grasp of the terrestrial life around here. A fish eagle, a paradise flycatcher and a pied kingfisher are my avian highlights thus far, but I have a feeling that in the forests around Kande there are many more untold natural riches just waiting to be discovered. In summary, the stand out first impressions from my first week in Malawi is the greenness, the friendliness and the diversity. I fully expect these 9 months to fly by.

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