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Adaption to climate-related changes in seagrass ecosystems in Chwaka Bay (Zanzibar) Duncan Geere Uppsats för avläggande av masterexamen i naturvetenskap 30 hp Institutionen för biologi och miljövetenskap Göteborgs universitet June 2014 Abstract This report presents a case study of the causes and effects of seagrass loss and artisanal fshery decline on the rural coastal communities around Chwaka Bay in Zanzibar, and their capacity to adapt to these changes. The results of semi-structured interviews with 51 fshermen living in the area are presented, and assessed in the context of economic and social development and resilience to future change. The vast majority of interviewees reported a decline in fsh catches and the size of fsh caught, as well as a reduction in seagrass coverage and more fshermen. These changes were blamed on the use of destructive fshing methods and an increasing number of fshermen due to unemployment, while attempts to regulate the fshing industry have proved unsuccessful due to corruption. Most interviewees named farming and forestry as alternatives to fshing, however neither are likely to be sustainable over a longer timeframe. Meanwhile, stresses on seagrass (and the artisanal fsheries as a result) are projected to increase as a result of rising maximum temperatures, greater rainfall variability and increasing sea level. Without diversifcation of economic activity, clear fsheries regulation and effective enforcement of those regulations, Chwaka Bay and many similar rural coastal communities around the Indian Ocean will fnd it increasingly diffcult to adapt to future global change. Keywords Adaptation, Climate change, East Africa, Zanzibar, Seagrass, Chwaka Bay, Interviews, Fisheries, 2 Introduction Global extent of seagrasses has dramatically reduced over the past century, due to human and natural pressures [Björk et al, 2008]. Signifcant anthropogenic threats to seagrass ecosystems include eutrophication and sedimentation caused by poor farming and forestry practices, and destructive fshing methods such as bottom trawling [Waycott et al, 2009]. These pressures are expected to become greater due to the effects of climate change, with an increase in both rainfall and the frequency of extreme events increasing the rate at which sediment and nutrients are transported into the ocean [Bjork et al, 2008]. Meanwhile, coastal communities depend on the ecosystem services provided by seagrasses - they provide nutrition to more than half the world's fsheries, flter water, reduce the effects of coastal pollution, eutrophication and sedimentation, protect coastlines from erosion and act as a buffer against extreme weather events [Nelleman et al, 2009]. It is poorly-understood at a global level how aware many rural coastal communities are of the threats facing the ecosystems they depend on, and whether they are taking adaptive action on a local level. Seagrass ecosystems are affected by both human and climate drivers, and their interaction is complex and differs around the globe. Some changes seen in these systems can be attributed to climate effects, while others are not as discernable [IPCC, 2014]. A coastal adaptation knowledge network between scientists, policymakers, stakeholders and the general public is well-developed in the USA, European Union, Mediterranean, Australia, Caribbean and Pacifc islands but is much less so outside of these areas and particularly in developing countries [IPCC, 2014]. Tropical east Africa does not have, at the time of writing, an effective network of this nature despite its large and increasing population and limited social and economic resilience [Silva, 2006]. The aim of this study is to address this gap in knowledge for the settlements surrounding Chwaka Bay on the island of Zanzibar in Tanzania. This report will frst discuss the biology of seagrasses and the factors that limit their growth rates, then the reliance of coastal communities around the globe on the ecosystem services that seagrasses provide. The global decline of seagrass meadows is then examined, followed by the reasons for this decline and how climate change may increase the rate of loss. The study area is next discussed in terms of its geography and climatology, along with the methodology of this research. Interviews are reported with fshermen, farmers, tourism operators, government offcials and other relevant stakeholders in the area to ascertain the impact of projected local climate change, followed by an assessment of the local effects of climate change on seagrasses in this region using the output of mathematical general circulation models. Comparisons are fnally made with other areas of study. Gullström et al (2006) wrote of the need for "regular assessments of the social-ecological sustainability of different human activities taking place in [Chwaka] bay", and IPCC (2014) noted that there are signifcant gaps in vulnerability assessment of specifc coastal impacts. By examining the local effects of climate change in this region, and presenting an assessment of what the societal impacts of these effects may be, it is hoped that this study can contribute toward these requirements. Seagrasses Seagrasses are fowering plants that grow in shallow water environments around the world - both oceanic and estuarine [Green & Short, 2004]. They're the descendants of terrestrial plants that recolonised the ocean between 100 and 65 million years ago, which have evolved to tolerate 3 submergence and high salinities [Björk et al, 2008]. They have leaves, stems, rhizomes and roots, and complete their entire lifecycle (including fowering, pollination, seed dispersal and germination) underwater. They can also propagate vegetatively by extending their rhizomes [Björk et al, 2008]. There are about 60 species of seagrass worldwide that are functionally similar, though not taxonomically unifed [Green & Short, 2003]. Most grow in single-species meadows, though in tropical areas mixed stands can be found containing up to 14 species. The distribution of seagrasses can be seen in fgure 1, divided into six major bioregions. About half of seagrass species are tropical, and half are temperate [Short et al, 2007]. Fig 1 - Global seagrass distribution shown as blue points and polygons and geographic bioregions: 1 Temperate North Atlantic, 2. Tropical Atlantic, 3. Mediterranean, 4. Temperate North Pacifc, 5. Tropical Indo-Pacifc, 6. Temperate Southern Oceans [Reprinted with permission - Short et al, 2007]. Seagrass growth is limited predominantly by light availability. The amount of solar irradiance reaching a meadow controls daily growth and seasonal productivity. This is affected by geographical location, weather, water depth, turbidity, and the state of surface waves and ripples [Björk et al, 2008]. Seagrasses need more than ten percent of the surface irradiance during cloudless middays (>200 µmol photons m-2s-1) to survive, meaning that seagrasses are limited to a depth of 70 metres under optimum conditions [Short et al, 2007] and signifcantly less in regions with cloudy weather or turbid water [Björk et al, 2008]. Some seagrasses in temperate regions survive very low irradiances during the winter by building up carbohydrate reserves stored in rhizomes during summer [Björk et al, 2008]. Temperature and salinity also affect growth. Temperature tolerance varies widely between species, and while data is lacking for many it appears that temperatures above 25C will reduce growth rates of temperate seagrasses and temperatures above 43C impact tropical seagrasses [Ehlers et al. 2008]. Salinity tolerance also varies dramatically, with species surviving in water as low as 0 ppt and as high as 140 ppt [Walker, 1989]. Seagrasses are eaten directly by sea urchins, fsh and molluscs [Heck & Valentine, 1995], but they also provide a habitat to many more creatures. Animals at all trophic levels appear in seagrass meadows, from dugongs and manatees and sea turtles in tropical water to swans and geese in temperate water [Björk et al, 2008]. 4 Seagrass areas supply an estimated 50 percent of the world's fsheries, providing nutrition to almost three billion people [Nelleman et al, 2009]. Animals that rely on seagrass meadows represent a large proportion of the protein consumed by coastal communities in tropical areas, making them crucial to their survival, and they're also fshed commercially. As well as acting as a fsh habitat, seagrasses offer multiple ecosystem services, including sediment trapping and binding which prevents coastal erosion [Laffoley and Grimsditch, 2009]. They're also used as traditional medicine, for flling mattresses, for roof covering, house insulation and to fertilise gardens [de la Torre-Caste & Rönnbäck, 2004]. In total, the global value of all ecosystem services provided by seagrass beds has been estimated by Costanza et al (1997) at US$ 3.8 trillion per year. Waycott et al (2009) found their their nutrient cycling functions alone have a value of US$ 1.9 trillion per year. However it's worth noting that ecosystem valuation is far from uncontroversial and there are many competing systems for evaluating an ecosystem (For details, see the 1998 special issue of Ecological Economics on ‘The value of ecosystem services’). Since seagrasses were frst recorded in 1879, 29 percent of the known areal extent has disappeared [Björk et al, 2008]. These rates of decline are accelerating – before 1940 the median rate of loss was 0.9 percent per year, which has risen to seven percent per year since 1990. These rates are comparable to those reported for mangroves, coral reefs and tropical rainforests [Waycott et al., 2009]. While there is some natural variability in seagrass extent due to extreme weather, predation and the spread of disease [Short & Wyllie-Echeverria, 1996], there are many anthropogenic threats to seagrass populations. Unfortunately, few records of seagrass meadows survive from before 1900 and the study of many meadows has only begun in recent decades [Green and Short, 2003]. This makes it impossible to ascertain whether the currently-seen rates of loss are precedented in modern, human, or even geological history. Past natural climate change will undoubtedly have had an effect on seagrass meadows, but there is no data available to compare to the current anthropogenic changes. The largest human impacts on seagrass populations worldwide are eutrophication and sedimentation caused by poor farming and forestry practices, and destructive fshing methods such as bottom trawling [Björk et al (2008), Nelleman et al (2009), Marbà (2009), Crooks et al (2011), Handisyde (2006), Jackson (2009), Fortes (2010), Waycott et al (2009)]. These have contributed to a disappearance of 29 percent of the known areal extent since 1879, at a rate that has accelerated from a median of 0.9 percent per year before 1940 to seven percent per year since 1990 [Waycott et al, 2009]. These rates are comparable to those of mangroves, coral reefs and tropical rainforests. Climate change may exacerbate these factors, and seagrass meadows are already under stress due to climate change - particularly where maximum temperatures already approach their physiological limit [IPCC, 2014]. Increases in water temperature can attract invasive species [IPCC, 2014] and may decrease production at thermal tolerance levels - heatwaves lead to widespread seagrass mortality [Reusch et al, 2005, Marbà and Duarte, 2010, Rasheed and Unsworth, 2011]. Before those tolerance levels are reached, water temperature increases may increase productivity, but it may also increase the productivity of algae that shades seagrasses from sunlight [Watkiss, 2012]. Warming has been shown to increase seagrass fowering but the larger recruitment rate is insuffcient to compensate for the losses resulting from elevated temperature [Diaz-Almela et al, 2009]. Any increase in the duration or intensity of rainfall combined with poor farming and forestry practices may increase the amount of nutrients and sediment in the water, again reducing productivity [Björk et al, 2008]. Finally, an increase in the frequency or severity of tropical storms may cause signifcant additional mechanical damage to the seagrass beds [Watkiss, 2012]. 5 Species of seagrasses that have been studied so far represent a large carbon sink, due to their slow rate of decomposition [Björk et al, 2008]. It's thought that while seagrasses represent up to one percent of the total carbon fxed on the oceans, they represent 12 percent of the stored ocean carbon [Duarte and Cebrian 1996]. Full analysis of the carbon sink capabilities of seagrass is not yet complete for every species, and it's possible that this may be an overestimate [Personal communication, Martin Dahl, 2014]. Nonetheless, Fourqurean et al. (2012) estimate that the present rates of seagrass loss may account for ten percent of all emissions attributed to changes in land use, and could result in the release of up to 299Tg of carbon per year (about three percent of 2012's anthropogenic global carbon emissions [Le Quéré et al, 2012]). The loss of coastal wetlands and seagrass meadows combined results in the release of 0.04 to 0.28 Pg of carbon annually from organic deposits [Pendleton et al, 2012]. Recent studies have shown that restoration of lost seagrass meadows may be an effective tool to mitigate global emissions. Restored meadows are expected to accumulate carbon at a rate comparable to those of undisturbed seagrass beds within 12 years of seeding [Greiner et al, 2013]. Site description Chwaka is located on the western shore of Chwaka Bay (6°13–25'S and 39°37–58'E), which is in turn located on the eastern coast of the island of Zanzibar. It lies due north of the Tanzanian capital of Dar Es Salaam on the eastern coast of Africa. Figure 2 shows its position. Fig 2: Geographical location of Chwaka off the east coast of Tanzania Chwaka Bay Chwaka Bay is a shallow body of saltwater about 50 square kilometres in size. It has a strong, asymmetric, semidiurnal tidal regime with a tidal range of 0.9 metres during neap tides and 3.2 metres during spring tides [Cederlöf et al. 1995] Salinity ranges from 21 psu to 25.5 psu [Eklöf et al., 2005]. Analysis conducted by Gullström et al. (2006) indicates that the seagrass covers 24.4 percent of the base sediment of the bay with little seasonal variation. The seagrasses are concentrated within meadows, inside which between 52 and 70 percent of the base sediment is covered with seagrass. 6 Spatial variability is large, and distribution of the species is complex, however both plant and productivity variables reported for the bay fall within the reported ranges for the western Indian ocean region, and it has been described as “relatively pristine” [Gullström et al. 2006]. Eleven different species of seagrass have been recorded in the bay by Mohammed & Jiddawi (1999). The dominant species are Enhalus acoroides, Thalassia hemprichii, Cymodocea rotundata, Cymodocea serrulata and Thalassodendron ciliatum. Syringodium isoetifolium, Halodule uninervis, Halodule wrighthii and Halophila ovalis are also relatively common in the area, while Halophila stipulacea and Nanozostera capensis are sparsely distributed. This represents almost all of the 14 known species found in the western Indian ocean region [Gullström et al. 2006]. Chwaka is the largest village on the bay, with a population of about 4,000. Smaller settlements include Michamvi, Uroa and Marumbi. Its people are a homogenous group, sharing a language (Kiswahili), a religion (Islam), and a long cultural tradition with the dominant economic activities being fshing and seaweed cultivation [de la Torre-Caste & Rönnbäck, 2004]. The seagrass areas in the bay have been reported by local fshermen to be the best fshing grounds, compared to other nearby marine habitats – such as mangroves, coral reefs and sand fats. [de la Torre-Caste & Rönnbäck, 2004] The bay is divided into 22 fshing grounds which were identifed by Bergstén (2004). These are seen in fgure 3. These vary in popularity among fshermen, primarily due to the abundance and structure of the seagrass contained within. Fishing grounds composed of long, dense and patchy seagrass beds are preferred by fshermen, with some variation based on the fshing gear used. Thalassodendron ciliatum and Enhalus acariodes were the most popular seagrass species among fshermen [Bergstén, 2004]. Fig 3: Map of fshing zones in Chwaka Bay [Reprinted with permission - Bergstén, 2004] 7 Due to the village's rising population and demand for fsh and lack of livelihood alternatives, the socioecological system of the Chwaka Bay area may become vulnerable to shock and stress [Badrango, 2007]. Today the region is functional, despite confict between different villages and a lack of collaboration among stakeholders over diminishing resources, but the ever-increasing number of fshermen and use of harmful fshing practices may lead to the erosion of the resilience of this system in the future [Badrango, 2007] unless decision-making processes are substantially reformed. Historical climate of Zanzibar Meteorological data was provided by the Institute of Marine Science from a station situated at Zanzibar International Airport on the west side of the island. No meteorological data was available closer to Chwaka Bay. Fig 4: Climate of Zanzibar - temperature and precipitation, 1992-2013 (Tanzania Meteorological Agency) Zanzibar has a tropical climate (see fgure 4) with a fairly constant average temperature year-round. It experiences heavy rains between March and May, and less intense rains between November and December. June to October is dry. Precipitation is somewhat high compared to other coastal zones along the East African coast [Watkiss et al, 2012]. The region is affected by East African climate extremes associated with El Nino and La Nina years – these events bring heavy precipitation and dry spells respectively, and have a major economic impact on the island at a macroeconomic level [Watkiss et al, 2012]. Variations in temperature are small due to Zanzibar's tropical location. Average temperatures tend to be highest between January and March, rising to 28C, and lowest in July when they fall to 24C. Average daily maximum temperatures follow the same pattern - hitting a high of 32C between January and March and falling to a low of 27C in July. The highest daily average temperature recorded at the Zanzibar Airport meteorological observation point was 34.6C on 16 June 2010, and the highest maximum temperature (50.0C)was also recorded on the same day. Maximum temperatures of 40C or above were also recorded on 25 January 2013, 3 March 2010, 18 October 2007 and 2 May 2003. 8 Wind speeds vary seasonally and also due to time of day. At 9am, winds are usually strongest between December and February with notable peaks in 1995, 2003 and 2005. At 3pm, winds are usually strongest between June and August, with notable peaks in 1997, 1998 and 2003. Mean 9am wind speed has decreased from 8.24 knots between 1990-1999 to 7.86 knots between 2000 and 2009, while mean 3pm wind speed decreased from 12.46 knots between 1990-1999 to 12.26 knots between 2000 and 2009. Wind gust data is rarely recorded at the Zanzibar Airport meteorological station, but of the times when it has been, it has only been recorded at 39 knots or greater on fve occasions - on 8 June 2011 (highest recorded gust at 52.1 knots), and on 26 February, 10 October, 19 October and 15 November 2012. Figure 5 shows rainfall totals from 1971-2011. Precipitation tends to be highest between March and May and lowest between June and August. Exceptionally wet years since 1970 include 1978, 1979, 1986, 1997, 1998, and 2007. The wettest year was 1979 with a total of 2,802mm of rain compared to a 1971-2011 average of 1,680mm. 2003 was an exceptionally dry year, with rainfall just 704mm. No major precipitation trends can be seen, though rainfall appears to have become more variable in the last decade - standard deviation of 2002-2011 is 468mm compared to 377mm for 1971-2001, and average deviations from the mean rise from 305.6mm to 371.3mm over the same periods. More than 150mm of rain in 24 hours fell on just seven occasions at Zanzibar Airport, all but one of which occurred during 1986 (3 January, 23 February, 8 March, 31 July, and 20 and 24 September). The remaining occurrence was on 16 December 1985. Fig 5: Seasonal rainfall totals by year, 1971-2011 There is strong observational data showing recent changes in the climate of Zanzibar. Average and maximum temperatures have been rising for the last 30 years, with the increase highest (approximately 0.2-0.5C) in the months of December to May [Watkiss et al. 2012]. There is not a simple precipitation trend for the whole island, but higher intensity events have been recorded in recent years - including the highest ever recorded precipitation event in 2005. Low and erratic rainfall 9 led in 2006/07 to a major crop failure on the island [Watkiss et al., 2012]. Evening wind speeds have increased by approximately two m/s over the last 20 years (though a similar trend is not seen in morning winds), with an increase in extreme wind events. Major wind storm events in 2009 and 2011 led to widespread building damage, as well as injuries and a fatality [Watkiss & Bonjean, 2012]. Finally, monthly mean high water level increased about 0.7m between 1984 and 2004 [Watkiss et al. 2012]. Extreme temperature, precipitation, wind and storm events cause signifcant economic and social disruption to rural coastal communities [IPCC, 2014], and any increase in their frequency is likely to have negative impacts on tourism, agriculture, health, energy supply and demand, infrastructure, water resources and demand, and ecosystem services. The combined effects of these communities' current climate vulnerability and future climate change may disrupt Zanzibar's ability to achieve development, economic growth and poverty reduction targets [Watkiss et al. 2012]. Methodology To collect primary data on the impact of the local effects of climate change on seagrasses in this region, semi-structured scientifc interviews of fshermen were judged to be the most useful tool. Interviews were conducted with the assistance of an interpreter over a period of six days in the villages of Chwaka, Marumbi, Uroa and Michamvi on the shore of Chwaka Bay. Chwaka Bay was selected as it is environmentally representative of the western Indian ocean region it contains almost all seagrass species found in the area (however the high diversity of species is in itself somewhat unusual), plant and productivity variables fall within the reported ranges for the region, and many of the threats to seagrasses common to the region can be identifed here. The area is also 10 culturally representative of many rural coastal communities in developing countries in the western Indian ocean. Within this area, Chwaka was initially selected as the sole study location as it has a long history of both seagrass and cultural research meaning that there is ample previous work to draw from and interview responses are less likely to be as affected by the presence of researchers. Pilot interviews were conducted in Chwaka on the frst day of the study to refne the questions in an attempt to both reduce the amount of time the interviews took and gather the most relevant information – such as the number of years of fshing experience in place of the number of years living in the town. Following this refnement process, it was also decided to broaden the area of study from just Chwaka to include Marumbi, Uroa and Michamvi villages for two reasons. Firstly, one subject warned us of possible political bias in the answers we might were collecting. The subject claimed that Chwaka supports the local opposition party to the government, and interviewees may be giving answers that would embarrass the ruling party. It was diffcult to establish the veracity of this claim, but the study area was expanded nonetheless to reduce any potential resulting bias. Secondly, some of those approached for the survey exhibited a degree of hostility due to a perceived failure for the research conducted in the village over many decades to have delivered results. It was reported that some respondents were being harassed for being willing to participate in the research, and as a result it was decided that to minimise disruption to the village it would be prudent to spread the interviews among multiple locations. The interpreter was an employee of the Institute of Marine Sciences and has long experience of both the subject of the study and the area where the study was conducted, however the interpreter did not come from the study area. The interviewer stayed in the study area throughout the survey to establish communication and trust with the local people. Subjects were selected by representatives who knew each village, nominated by a council of fshermen. Interviews were recorded and brief written notes were also taken at the same time. Each interview consisted of 14 questions, with a few additional questions to clarify certain answers during some interviews. The full list of questions common to all interviews can be found in appendix one. Additional unstructured interviews were conducted with members of the local fsheries committee in Chwaka and Uroa to learn more about local conservation techniques, with the owner of Marumbi village farm to investigate opportunities for local agriculture, and with Dr Narriman Jiddawi from the Tanzanian Institute of Marine Science to clarify some uncertainties related to the study area. Some information was also gathered during informal discussions with local residents. Results A total of 51 interviews were conducted in Chwaka (n=14), Marumbi (n=14), Uroa (n=16) and Michamvi (n=7). Subjects ranged in age from 17 to 70, with a median of 34 and standard deviation of 13.28. Years of fshing experience ranged from 1 to 54, with a median of 15 and a standard deviation of 12.23. The youngest interviewees were found in Chwaka and the oldest were found in Michamvi . These villages also had the least and most experience of fshing respectively. Marumbi's fshermen were older but with fewer years of experience than those in Uroa. Table A shows these statistics in full. 11 Table A: Median age and fshing years of the interview sample Area Median age Median fshing years Chwaka 26.5 9 Marumbi 39 13 Uroa 34 18.5 Michamvi 46 26 All 34 15 In the region of study, it's common for men to work more than one job to increase household income. Fishing is extremely common, with some interviewees noting that unemployed men will join a fshing crew to provide for their family while searching for work. Every one of the interview subjects had worked as a fsherman and all but two did so at the time of the interviews. The exceptions were both teachers, who were unable to fsh due to school working hours. Fishing was the most common occupation, as fshermen were deliberately sought out to interview. The second most-common occupation was farming, followed by a small number of other diverse occupations - seaweed farming, shopkeeping, teaching, small businessmen, driving, police, tour guiding and building. The vast majority of interviewees fshed in Chwaka Bay with only four reporting that they fshed in the deep sea region outside. Inside the bay, the Michamvi region was most popular, followed by Bimbi Kobwa, Bimbi, Kichongwe, Mapangani, Bimbi Ndogu, Ngoro and the Mamea Mwari protected area at Marumbi village - where dragnet fshing is banned. When asked how the bay has changed since they started fshing and allowed to answer freely, the vast majority (96%) of respondents cited a decline in fsh catch, with 41% also identifying a decrease in the size of caught fsh. 90% noted that there were more fshermen, 70% noted a decline in seagrasses and 22% reported that coral had been destroyed. Almost half the respondents (49%) reported "big changes" or words to that effect, though the proportion was much greater in Marumbi (86%) than in other villages. Finally, 18% reported the appearance of sand dunes in the bay, and 12% said that there had been no change in the seagrasses. All changes reported by more than one respondent can be seen in table B. Table B: responses to the question "How has the bay changed?" How has the bay changed? Chwaka Marumbi Uroa Michamvi Total Percentage Decline in fsh catch 13 13 16 7 49 96.08% Increase in number of fshermen 13 13 16 4 46 90.20% Less seagrass 11 9 10 6 36 70.59% "Big changes" 3 12 4 6 25 49.02% Smaller fsh 4 9 6 2 21 41.18% 5 1 5 11 21.57% 2 3 3 9 17.65% 6 11.76% Coral destroyed Appearance of sand dunes 1 Seagrasses no change 1 5 New protected area 5 5 9.80% Illegal fshing 3 3 5.88% 3 5.88% 3 5.88% Fewer fshermen No change in size of fsh 3 1 2 12 Shallower water 2 1 3 5.88% Increase in fsh catch 1 1 2 3.92% Price of fsh is higher 1 1 2 3.92% 2 3.92% More erosion 1 1 When asked for the reasons for the changes seen in fsh catches (number and size), more than 70% of respondents identifed the use of dragnets by fshermen from Chwaka, rising to 92% of residents of Marumbi. Almost 22% identifed an increasing number of fshermen as the cause, and eight percent pointed to poor enforcement of existing protected areas. Six percent blamed the removal of seagrass, and four percent attributed changes in fsh catches to permanent changes in weather patterns affecting the island. The full breakdown of responses can be seen in table C. Table C: Reported reasons for changes observed in fsh catch and size Reasons for fsh changes Chwaka Marumbi Uroa Michamvi Total Percentage Use of nets 6 13 10 7 36 70.59% More fshermen 4 6 1 11 21.57% 4 7.84% Poor enforcement of protected areas 4 Removal of seagrasses 2 1 3 5.88% Weather is changing 1 1 2 3.92% The reasons given for changes in seagrasses follow a similar pattern - the most common answer (from 35% of interviewees) was that the observed changes were caused by dragnet fshermen from Chwaka, though no respondents from Chwaka gave this as the cause. Instead, Chwaka residents blamed increased numbers of sea urchins for the disappearing seagrass. Other reasons given include seaweed farming, the appearance of sand dunes, natural variability and the effects of the 2004 tsunami.The full breakdown of responses can be seen in table D. Table D: Reported reasons for changes observed in seagrass extent Reasons for seagrass changes Chwaka Nets Marumbi Uroa Michamvi Total Percentage 8 3 7 18 35.29% 7 13.73% Sea urchins 6 1 Seaweed farming 2 4 6 11.76% Sand dunes 1 2 3 5.88% Natural 1 1 2 3.92% 1 1 1.96% Tsunami Unemployment is the primary cause of increasing numbers of fshermen within Chwaka Bay, according to 57% of interview respondents. An increase in population in the bay was also named as a contributing factor by 10% of interviewees. In Michamvi, where a small number of people said that the quantity of fshermen was decreasing, catch decline and tourism were named as the reasons for this decrease. The full breakdown can be seen in table E. 13 Table E: Reasons for changes in fshermen numbers in Chwaka Bay (+ = increase, - = decrease) Reasons for fshermen changes Chwaka Marumbi Uroa Michamvi Total Percentage 3 10 12 4 29 56.86% 2 3 5 9.80% Unemployment (+) Population size (+) Catch decline (-) 2 2 3.92% Tourism (-) 1 1 1.96% Interviewees were asked if they remembered any years with particularly bad storms affecting the bay. The majority (59%) said that they didn't remember any, and of those that did, 13 erroneously reported the 2004 tsunami as a storm - with effects ranging from none at all to lost fshing gear, emptied fsh breeding sites, removal of seagrass and a permanent 20-30% decline in catches. Of the remaining interviewees, three named a supposedly week-long storm around the late 1960s which had no effect on fsh catches. Two pointed to a storm in the mid-1970s which removed a lot of seagrass and scared fsh away. Finally, three more named a storm or storms in the mid to late 2000s which caused between a 98% and 50% decline in catches and made fshing diffcult. A similar question was asked for years with memorable rainfall. In response, 1978, 1994, 1995-6, 2002, 2007, 2008-9, and 2012 were all identifed as high rainfall years. In almost all cases (with the exception of 1995-6), it was reported that the rainfall caused large amounts of freshwater to collect in the bay, killing the saltwater fsh. No effects were reported on seagrasses. A selection of years with extreme hot temperatures were also identifed in the same way. 1994, 2000, 2004, 2007, 2008, 2010 and 2011 were all reported as exceptionally hot. In most cases, the result was that some fsh (a species of triggerfsh locally referred-to as "Kikande" was mentioned by two interviewees) were found foating dead in the sea, causing in one case a decline in catch of about 30% for two months. Effects on seagrasses varied from none at all to 50% mortality which took four months to regrow. Table F: Responses to the question: "What will happen to the village?" What will happen to the village? Chwaka Marumbi Uroa Michamvi Total Percentage Farming 9 5 14 4 32 62.75% Life will be hard 9 1 6 4 20 39.22% Forestry 2 3 8 5 18 35.29% Won't be enough to support the village 3 4 7 3 17 33.33% Nothing to do except fshing 5 2 3 2 12 23.53% 1 3 5 9 17.65% 2 1 5 9.80% 5 9.80% 5 9.80% 4 7.84% 3 5.88% 2 3.92% 2 3.92% 2 3.92% 2 3.92% Tourism Charcoal 1 1 Not enough land 4 1 Things will be ok 1 3 1 1 2 Small businesses People will leave 2 Fishing in deep sea 1 Crime 2 1 1 1 Building 1 People sitting around 2 14 1 Finally, interviewees were asked what will happen to their village if fsh catches continue to decrease and allowed to answer freely (Table F). The most common answer (63%) was that people will farm fruit and vegetables to sell, though 10% said that increasing farming would be diffcult as all the land is already owned. 35% of respondents said people would turn to forms of forestry, including cutting frewood, whilst 18% (mostly from Uroa and Michamvi) said tourism would offer a solution to preserving livelihoods. Other potential industries identifed included making charcoal, fshing in the deep sea, helping to build tourism infrastructure, and the formation of small businesses such as shops or handicrafts. 39% of respondents answered that "life will be hard" or words to that effect, and an additional 33% said that other industries won't be enough to support the village. 24% of interviewees said that there is nothing to do in their village except fshing. Finally, 6% said that people would leave for other areas, 4% said that people would turn to crime and 4% said that people would just sit around. Discussion Effects of future climate change To understand how future climate change may affect the seagrass meadows of Chwaka Bay and in turn how that may affect local society, it's important to how Zanzibar's climate may change. To do this, downscaled projections of climate change from the Coupled Model Intercomparison Project Phase 5 at the World Climate Research Programme (WCRP) were used. These projections are based on the RCP8.5 representative concentration pathway, which represents +8.5W/m2 of radiative forcing in the climate system in the year 2100 relative to pre-industrial values and follows a zero mitigation 'business as usual' scenario. Choosing representative concentration pathways with more mitigation reduces the magnitude of the change, but not its direction. 15 Temperature Warmer water temperatures increase seagrass productivity, but only up to their maximum thermal tolerance limit (which differs between species) [Reusch et al, 2005, Marbà and Duarte, 2010, Rasheed and Unsworth, 2011]. Beyond this point, the seagrass leaves die back leaving behind the rhizomes buried in the seabed. The leaves regrow when temperatures become more hospitable, but the plant must expend energy to do so [Jordà et al, 2012]. Following temperature disturbances, Vizzini et al [2010] reported that seagrass remains stressed for three years after the disturbing event. Meanwhile, invasive species attracted by rising water temperatures may spread pathogens and compete for resources, causing further harm to stressed populations [Jordà et al, 2012]. Downscaled model projections using the SRES A1B scenario in the Western Mediterranean combined with studies of the links between mortality rates and maximum seawater temperature led Jorda et al. (2012) to state that seagrass meadows in this location may become functionally extinct by 2050 to 2060. However, there is also limited evidence that elevated CO2 will increase seagrass survival or resistance to warming [Alexandre et al., 2012, Jorda et al., 2012], Ehlers et al (2008) showed that genetic diversity allowed the temperate species Zostera marina to cope better with high summer temperatures, and Rice and Emery (2003) showed that evolutionary change can occur within a few generations. These factors combined may give genetically-diverse, mixed-species meadows such as those in Chwaka Bay greater resilience to projected temperature increases. Figure 6 shows a projection of maximum temperature anomalies from monthly mean maximum temperatures under an RCP8.5 scenario, It indicates that maximum temperatures are projected to rise to between 1.5C and 2C above pre-industrial values by 2050 and greater than 4C by 2100. Global climate models, statistically downscaled using local meteorological data for Zanzibar and published by the Climate Systems Analysis Group (CSAG) based at the University of Cape Town [Jack, 2010] support this projection, showing signifcant increases in temperature in Zanzibar. Jack's results report that maximum monthly temperature is projected to increase uniformly throughout the year between 1.5 and 2C by the 2050s and 2 to 4C by the 2090s [Watkiss & Bonjean, 2012]. Fig 6: Ensemble mean of projected maximum temperature anomalies from monthly mean maximum temperatures (18611930) under an RCP8.5 scenario. Created using Royal Netherlands Meteorological Institute's Climate Explorer: http://climexp.knmi.nl/ 16 Precipitation More variable precipitation, including an increase in the number of high-intensity events, was reported in interviews to have several major effects on seagrass and fsh stocks in Chwaka Bay. When the bay is diluted by freshwater during rainstorms, many interviewees reported that fsh that are adapted to saltwater die off in large numbers. High-intensity rain events also wash sediment and nutrients into the bay from the land around Zanzibar's coast, which Watkiss et al (2012) reported as increasingly being farmed more intensively. Signs of deposition and changes in fow patterns in the Bay are evident from a reported increase in the number of sand dunes, and this sediment transport, combined with eutrophication caused by increasing fertiliser use, will increase the turbidity of the water and reduce the productivity of the seagrass meadows [Björk et al, 2008]. Increasing intensity of dry spells is unlikely to directly affect the underwater environment, however a reduction in farming output may further increase pressure on fshing stocks as local people turn to other sources of food [de la Torre-Castro and Rönnbäck, 2004], and lead to greater erosion when the rains return. Figure 7 shows a precipitation projection, which indicates that precipitation means are unlikely to change but that rainfall will become substantially more variable over the next century. These projections are consistent with those reported by others for the region, eg Watkiss & Bonjean [2012], Jack [2010], and IPCC [2013], which also report that precipitation changes are more complex than a simple increase in variability, and are likely to differ between seasons. Increasing rainfall is projected between January and May, including the March-May wet season, and decreasing rainfall between June and October (the existing dry season) [Watkiss & Bonjean, 2012]. Similarly, an intensifcation of heavy rainfall is projected, particularly during the rainy season, along with increasing intensity of dry spells during the dry season [Watkiss & Bonjean, 2012]. Fig 7: Ensemble mean of projected precipitation anomalies from monthly mean precipitation (1861-1930) under an RCP8.5 scenario. Created using Royal Netherlands Meteorological Institute's Climate Explorer: http://climexp.knmi.nl/ 17 Storms While Chwaka Bay is not located within an area prone to tropical storms, wind storm events associated with the regional monsoon were reported in interviews to have caused signifcant damage in recent years - including a fatality. These events are often accompanied by storm surges that affect the underwater environment - mechanically removing seagrasses due to wave action, as well as stirring up sediment and in turn increasing the turbidity of the water. While, most models project a fall in average wind speeds over the year, any seasonal increase may still result in stronger waves that cause further damage to seagrass meadows and fsh populations. Koch (2001) showed that high current velocities (possibly above 100 cm s-1) and wave action (particularly in areas with weak currents) can adversely affect the growth and distribution of healthy seagrass beds, though maximum velocities and wave tolerance vary widely between species. Two aspects of "storminess" can be considered using the WCRP CMIP3 multi-model dataset (see appendix B). During storms, air pressure tends to drop and wind speeds tend to increase [Ahrens, 1994]. Daily model projections of both variables were averaged over the three "epochs" defned in the IPCC's Special Report on Emissions Scenarios (2000) as 1960-2000, 2046-2065 and 2080-2100. Tables G and H show the output of each individual model for mean sea-level pressure and two-metre wind speeds, along with the trends calculated between the frst and second, and second and third epochs respectively. In table G, the models are almost evenly split between projections of a rise and fall in mean sea-level pressure. In table H, the ensemble shows more agreement - more models show a fall in wind speed than a rise, and this is particularly true in the latter half of the coming century. In both cases, the magnitude of changes is about half of one standard deviation, so there is little evidence to support projections of increased "storminess" defned in this manner. Table G: Downscaled mean sea-level pressure projections from CMIP3 ensemble (Pa) Model 1960-2000 2046-2065 CGCM3.1(T47) 100544 100581 ↑ 100544.8 ↓ CGCM3.1(T63) 100575 100545 ↓ 100552 ↑ CNRM-CM3 100833 100859 ↑ 100865.7 ↑ CSIRO-Mk3.0 100715 100673 ↓ 100696.9 ↑ CSIRO-Mk3.5 100623 100580 ↓ 100638.8 ↑ GFDL-CM2.0 100728 100735 ↑ 100769.7 ↑ GISS-AOM 100849 100853 ↑ 100803.4 ↓ GISS-ER 100493 100473 ↓ 100460.1 ↓ FGOALS-g1.0 100807 100825 ↑ 100830.3 ↑ INGV-ECHAM4 100464 100427 ↓ 100548.5 ↑ INM-CM3.0 100524 100460 ↓ 100417.9 ↓ IPSL-CM4 100693 100684 ↓ 100676 ↓ ECHO-G 100742 100724 ↓ 100696.5 ↓ ECHAM5/MPI-OM 100669 100676 ↑ 100591.7 ↓ MRI-CGCM2.3.2 100700 NaN N/A 100719.5 ↑ AVERAGE 100664 100650 ↓ 100654.1 ↑ Rise 6 8 Fall 8 7 18 Trend 2080-2100 Trend Table H: Downscaled two-metre wind speed projections from CMIP3 ensemble (m/s) Model 1960-2000 2046-2065 Trend cccma_cgcm3_1 7.1 6.9 ↓ 6.8 ↓ cccma_cgcm3_1_t63 7.8 7.1 ↓ 7.1 ↓ cnrm_cm3 9.1 9 ↓ 8.8 ↓ csiro_mk3_0 10.4 10.4 ↓ 10.4 ↓ csiro_mk3_5 8.8 8.9 ↑ 8.8 ↓ gfdl_cm2_0 4.9 5 ↑ 4.8 ↓ giss_aom 5.4 5.4 ↓ 5.4 ↓ giss_model_e_r 3.6 3.5 ↓ 3.5 ↓ iap_fgoals1_0_g 9.7 9.5 ↓ 9.5 ↓ ingv_echam4 9.7 9.8 ↑ 9.5 ↓ 6 6 ↓ 5.9 ↓ ipsl_cm4 3.1 3.1 ↓ 3.2 ↑ miub_echo_g 4.7 4.9 ↑ 5 ↑ mpi_echam5 8.9 8.7 ↓ 8.7 ↓ mri_cgcm2_3_2a 4.3 4.4 ↑ 4.3 ↓ AVERAGE 6.9 6.8 ↓ 6.8 ↓ inmcm3_0 2080-2100 Trend Rise 5 2 Fall 10 13 Sea level rise Finally, the relative shallowness of Chwaka Bay means that sea level rise is unlikely to signifcantly affect the geographical extent of seagrass meadows in the bay except in the very long term. Nonetheless, Jackson (2009) noted that increased water depth causes a decline in the sunlight reaching the seabed, so any rise in water level will reduce the ability of seagrass to photosynthesise and therefore damage its productivity. As well as this, much of the land around Chwaka Bay is low-lying and vulnerable to coastal erosion, saltwater intrusion and fooding. More than 220,000 people (29 percent of the population of Unguja) live below the fve-metre contour line that represents the land area most at risk from storm surges and high tides [Watkiss et al, 2012]. Sea level rise has a slower response time than temperature and precipitation, and this is therefore likely to be a longer-term change [Watkiss & Bonjean, 2012]. The Intergovernmental Panel on Climate Change [2013] reports that sea levels are projected to rise globally by 0.52 to 0.98 metres under a RCP8.5 representative concentration pathway. 19 Overfshing and destructive fshing gear Speaking to the people of Chwaka Bay, it's clear that many realise that their situation is untenable in the medium to long term, yet feel powerless to effect meaningful change. An increasing population combined with increasing unemployment means more fshermen, which in turn means greater pressure on the marine resources of the bay. The resulting declines in individual catches motivates unscrupulous individuals to use more-effective but highly destructive fshing gear, such as dragnets, to increase their share of the catch. Short et al (1996) and many others have described how these fshing methods mechanically damage the seagrasses that play a major role in fsh lifecycles, limiting fsh stock recovery. This reduction in fsh numbers allows for an increase in the population of sea urchins, a species whose numbers are normally kept under control by fsh predation. Sea urchins, in turn, are enthusiastic consumers of seagrass so the resulting population boom has been shown by Heck and Valentine (1995) to coincides with a reduction in seagrass extent, again limiting fsh stock recovery. This decrease in fsh stocks has a feedback effect, both directly as it further reduces fsh predation, but also because it may cause local fshermen to redouble their efforts to increase their share of the catch by increasing the intensity of their fshing efforts. In many countries this is countered by legislation that protects geographical areas or bans certain fshing equipment [Björk at al, 2008], but the effectiveness of similar legislation in Chwaka Bay has been thwarted by political corruption. Interviewees from Marumbi reported that even when police are called over illegal fshing activity in the Mamea Mwari protected area, the same boats often reappear in the same area the next day. It was also reported that a former Marumbi village leader was questioned by police after complaining about illegal fshing activity. 20 That leaves a situation where a number of powerful human effects are taking place on a background of projected climatic changes that may reduce the ability of seagrass species to survive population shocks. All these drivers of changes in seagrasses in Chwaka Bay and their effects, outcomes and feedbacks can be summarised in a simple diagram. Figure 8 shows how destructive fshing methods, overfshing, increased rainfall variability, increased maximum temperatures and sea level rise combine to create an ever-worsening situation in the bay. Fig 8: Summary of drivers of changes in seagrasses in Chwaka Bay and their effects, outcomes and feedbacks. Other vulnerabilities These projected effects of overfshing, destructive fshing gear and climate change on seagrass and fsh stocks are not the only vulnerabilities shown by interviews with the people of Chwaka Bay. When asked what their communities will do if fsh stocks continue to decline, many named farming and forestry as possible alternatives. Others pointed to tourism, fshing in the deep sea, seaweed cultivation or starting small businesses. While many fsherman cultivate small plots of land close to their homes for vegetables to use within the household [de la Torre Castro and Rönnbäck, 2004], the soils surrounding Chwaka Bay are poor, somewhat shallow and often raided by monkeys [Salum, 2009], making them unsuited in most cases to larger scale agriculture. There are some exceptions however - a few cash crops, such as lemons, are cultivated, while a plot of land near Marumbi has proved to be unusually fertile and the village leaders have started a community farm there. At the time of the feldwork (April 2014) a well had been dug, but more investment was being collected to develop an irrigation system. Even if the soil in the wider Chwaka Bay area was more suitable for intensive agricultural activity, some interviewees noted that 21 every parcel of land is already owned and cultivated by individuals, and that there is "no more room" for an expansion in farming activity. Forestry is another common occupation in the area. Mangroves are cut for both frewood and for use as construction poles [de la Torre-Castro and Rönnbäck, 2004]. Few surveys have been made of the extent of this practice outside of the nearby Jozani-Chwaka Bay national park, but the formation of the park (where forestry is limited) has already displaced some wood-collectors to territory closer to the villages surveyed in this feldwork [Salum, 2009]. As a result, it's likely that any increases in this industry would be unsustainable in the medium-term. While tourism infrastructure (hotels, restaurants, diving centres and so on) is widespread in many areas of Zanzibar, it is almost entirely absent in Chwaka Bay. A small string of hotels along the coast between Chwaka and Uroa, and some development east of Michamvi on the ocean-facing shore are the only exception. Many tourism operators consider the bay to be "unattractive" due to its large tidal range and the seagrass meadows exposed at low tide [Personal communication, manager of Chwaka Bay Resort]. Even if there were not the case, interviewees in Michamvi noted that the hotels tend to employ staff from mainland Tanzania or foreigners before locals due to a perception that the locals are untrustworthy or don't possess the necessary skills. Nonetheless, some locals have successfully started small businesses supplying food and other goods to hotels, and if the seagrass extent continues to decline in the bay then there may be some resultant growth of the tourism industry as the seascape during low tide becomes more "attractive". Sea level rise is also likely to damage shoreline tourist infrastructure, and much of the land surrounding Chwaka Bay lies below fve metres, making the communities more vulnerable to fooding in the longer-term [Watkiss et al. 2012]. 22 While only three of the ffty-one interviewees reported fshing in the deep sea beyond Chwaka Bay, the practice is likely to become more common if catches drop further. For this to happen, however, signifcant investment in equipment - larger boats, engines, and gear - will be needed to safely transition to this more hazardous working environment. Seaweed cultivation is the other major economic activity performed in the bay. The introduction of this industry in the early 1990s has had a positive economic and social effect, partly as it is dominated by women, but it is extremely labour-intensive [Fröcklin et al, 2012]. It also has a negative effect on seagrass meadows, so any expansion may further hasten their decline [Eklöf, 2005]. Finally, there is some fnancial support available for entrepreneurs wishing to start small businesses in the region. Interviewees reported that some communities operate lending clubs where funds are available to start up businesses whose profts are then returned to lenders. In most cases the funds available are very small, limiting the scale of what can be achieved. In summary, it's unlikely that any of the alternatives proposed by interview respondents alone can offer Chwaka Bay's communities the economic opportunities that they seek. As nearly as quarter of survey respondents noted, there is "nothing to do except fshing". Combined, they may offer the bare bones of an adaptation strategy, albeit with the stresses and hardships that will bring. But further work will be required to fesh out that strategy and ensure that the villages surrounding Chwaka Bay endure a minimum of suffering during that adaptation process. Limitations of the study Subjects in each location were chosen by a representative of the council of fshermen, rather than at random, so it's plausible that some bias may have entered here in terms of the individuals selected for interviews. Every one of the interviewees was also male, due to the male-dominated nature of the fshing industry in Zanzibar. Female respondents may have given different answers. Some work has been done on female perspectives of village life in Chwaka (See de la Torre Castro & Lyimo, 2012, Fröcklin et al, 2012). The village of Chwaka has been extensively surveyed for a period of more than 30 years [Personal communication, Mats Björk]. Some individuals are frustrated by this constant attention from researchers with no perceived beneft, and actively avoid participating in research – so in this location the selection of subjects cannot be said to be wholly representative of the village. While the interpreter was well-trained in the subject of the study and has many years of experience of translation, some modifcation and simplifcation of the responses is almost certain to have occurred during the translation process. Chwaka Bay has been described as “relatively pristine” [Gullström et al, 2006], and while there has been a small amount of tourism development on the coastline north of Chwaka, the area is not signifcantly developed. This study can therefore not be taken as representative of the heavily developed areas of coastline in the western Indian ocean. 23 Conclusion The communities surrounding Chwaka Bay have subsisted successfully for centuries on the rich resources of the its waters. Low-impact fshing methods and a relatively stable climate allowed a small population to survive without disrupting the delicate seagrass ecosystems of the bay. But that is no longer the case. A rapidly-rising population has increased the number of fshermen drawing from the waters of Chwaka Bay, creating a classic "Tragedy of the Commons" -- where individuals fght to increase their share of a dwindling resource while accelerating its decline in the process. Increasing use of destructive fshing techniques means that catches are decreasing in both size and number. Speaking to the people of Chwaka Bay it is clear that many realise that their status quo is unsustainable, but attempts to regulate the artisanal fshing industry in the bay are having little effect due to poor enforcement -supposedly as a result of local corruption. Meanwhile, in the background, global climate change is eroding the ability of the bay's ecosystems to cope with these stresses. Increasing maximum temperatures, more variable rainfall and rising sea levels are all -- on differing timescales -- aversely affecting the fsh and seagrass beds that play a crucial role in the region's marine ecosystems, and damaging the capacity of the local communities to achieve key economic growth, development, and poverty reduction goals, as well as adapt to future changes. While this is a case study of just one location, the communities surrounding Chwaka Bay are representative in many ways of the rural fshing communities that surround the Indian ocean. These populations are among the most vulnerable to economic stresses due to their overreliance on revenue from artisanal fshing industries and the widespread corruption that dramatically reduces the effectiveness of management strategies. Suggestions of management strategies are beyond the scope of this document, but it's clear that diversifcation of economic activity, clear regulation of fshing gear and effective enforcement of those regulations should be considered vital in any attempt to lay out a plan for the sustainable development of rural fshing communities anywhere in world. Acknowledgements Sincere thanks are due to Hans Linderholm for supervising this report and providing crucial feedback and comments. David Rayner, Martin Gullström and Mats Björk offered valuable guidance. Said Juma Shaaban was a fantastic translator. David Rayner and Narriman Jiddawi provided important meteorological data and climate projections. Fred Short and Maria Bergstén kindly allowed their fgures to be reproduced. Brian Eno created music that is excellent to work to, and Silvia Hüttner was an endless source of support and encouragement. This work contributes to the project 'Assessment of carbon sequestering capacity in East African seagrass ecosystems affected by multiple stressors in a changing climate', funded by the Swedish International Development Cooperation Agency SIDA. Finally, a debt of gratitude is owed to the people of Chwaka Bay, without whom this study would not have been possible. 24 References Ahrens, C. D. Meteorology Today (1994). Alexandre, A., Silva, J., Buapet, P., Björk, M. & Santos, R. Effects of CO(2) enrichment on photosynthesis, growth, and nitrogen metabolism of the seagrass Zostera noltii. Ecol. Evol. 2, 2625–35 (2012). Badrango, F. D. Integrating Local Perceptions for Enhancing Social-Ecological Resilience: The Case of Small Scale Fishery in the Chwaka Bay of Zanzibar. 94 (2007). Bergstén, M. The Importance of Seagrass in Fishing grounds according to Fishermen in Chwaka bay. 1–46 (2004). Björk, M., Short, F., Mcleod, E. & Beer, S. Managing Seagrasses for Resilience to Climate Change. 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A. 106, 12377–81 (2009). 26 Appendix A: Questions answered by fshermen in Chwaka Bay 1) Name / Age / Occupation 2) Where do you fsh? 3) How long have you been fshing in Chwaka Bay? 4) How and why has the bay changed in this time? 5) (a) Do you remember any bad storm years (b) Do you remember any bad rain years? (c) Do you remember any bad heat years? 6) Was there any effect on fsh catches or seagrass? 7) Has the number of fshermen changed and why? 8) If fsh catches continue to decrease, what will happen to the village? 9) Does anyone protect the seagrass? Appendix B: Climate models in CMIP3 ensemble CMIP3 I.D. Originating Group(s) Country CGCM3.1(T47) Canadian Centre for Climate Modelling & Analysis Canada CGCM3.1(T63) Canadian Centre for Climate Modelling & Analysis Canada CNRM-CM3 Météo-France / Centre National de Recherches Météorologiques France CSIRO-Mk3.0 CSIRO Atmospheric Research Australia CSIRO-Mk3.5 CSIRO Atmospheric Research Australia ECHAM5/MPI-OM Max Planck Institute for Meteorology Germany ECHO-G Meteorological Institute of the University of Bonn, Meteorological Research Institute of KMA, and Model and Data group. Germany /Korea FGOALS-g1.0 LASG / Institute of Atmospheric Physics China GFDL-CM2.0 US Dept. of Commerce / NOAA / Geophysical Fluid Dynamics Laboratory USA GISS-AOM NASA / Goddard Institute for Space Studies USA GISS-ER NASA / Goddard Institute for Space Studies USA INGV-ECHAM4 Instituto Nazionale di Geofsica e Vulcanologia Italy INM-CM3.0 Institute for Numerical Mathematics Russia IPSL-CM4 Institut Pierre Simon Laplace France MRI-CGCM2.3.2 Meteorological Research Institute Japan 27