Modeling for Management: Predicting Ideal Conditions for Seagrass Habitat

By Emily Rose Nelson, RJD Intern

Seagrasses are an essential part of the marine ecosystem. They provide food, habitat, and safe nursery areas to a wide range of species. Seagrasses help to stabilize the sea floor during intense currents and storms, filter nutrients coming from land-based runoff, increase water clarity by trapping sediments, generate oxygen, and store excess carbon. Unfortunately, seagrass area is in significant decline around the world largely due to cumulative impacts of human activities such as coastal development, increasing pollution, and reckless boating. It is of utter importance that conservation and restoration efforts are put into place in order to protect seagrasses the ecosystem services they provide.

Map showing changing in seagrass area since 1879 at 205 sites along coastlines worldwide (Waycott et al., 2009).

Map showing changing in seagrass area since 1879 at 205 sites along coastlines worldwide (Waycott et al., 2009).

To date, restoration efforts have been largely unsuccessful. In order to effectively reestablish seagrass area, knowledge of the environmental factors that impact seagrass is necessary. Presence requires a number of environmental conditions including light availability, wave height, and sediment characteristics to be satisfied. Knowing this, Adams et al. have created a mathematical model to link environmental conditions to the presence or absence of seagrass.

Moreton Bay, Australia is subtropical shallow coastal embayment. There is decades of extensive data on seagrass cover and environmental conditions available for this area, making it the perfect location to use to develop this model. The model takes into account three of the most important factors in the success of seagrass: light levels (represented by mean annual benthic light availability), physical wave conditions (represented by significant wave height), and geological sediment conditions (represented by mud concentration). Looking at previous data and performing a number of mathematical manipulations established limitations for each of the three environmental factors. Seagrass will only be present when the following conditions are satisfied: annual benthic light availability is greater than 9molm-2d-1, mean significant wave height is less than 0.6m, and sediment mud concentration is less than 50%.  The study area was then divided into 100m by 100m cells and the presence or absence of seagrass was tested for each cell using the mathematical model.

Application of the model to Moreton Bay, Australia provided promising results. When compared to a real seagrass map from 2004, the model correctly predicted seagrass presence or absences at 85% of the cells. The model did even better when compared to a real seagrass map from 2011, correctly predicting 88% of the cells. Further, it is possible that some of the incorrect cells, in particular false positives, correspond to areas of opportunity for future seagrass growth.

Real seagrass observational data compared to predictions using the model developed by Adams et al. for 2004 and 2011. a, b, and c are based on seagrass observed in 2004 and d, e, and f are based on seagrass observed in 2011. a/d show the observed seagrass data, b/e show the predicted seagrass using the model, and c/f show the difference between the real observations and the model predictions.

Real seagrass observational data compared to predictions using the model developed by Adams et al. for 2004 and 2011. a, b, and c are based on seagrass observed in 2004 and d, e, and f are based on seagrass observed in 2011. a/d show the observed seagrass data, b/e show the predicted seagrass using the model, and c/f show the difference between the real observations and the model predictions.

The success of the model created by Adams et al. provides hope for combining continual monitoring with modeling as a method to determine actions needed for conservation and restoration of seagrass beds on a local level. The limiting environmental factors differ among locations and therefore different actions are needed to improve chances of seagrass survival; if the model predicts absence of seagrass at a particular spot there is an environmental reason for that. If the area does not have enough sunlight efforts should be made to improve water clarity, and thus allow more light through. If the area has intense wave conditions, actions can be put in place to weaken the physical effects of waves. Knowing a specific reason why seagrass is absent in a particular area makes it easier for policy makers to successfully manage the area.

Grunt

A school of yellow striped grunt swimming through the seagrass (photo credit: google images).

However, there are fallbacks to this model. For one, there are several other environmental variables that effect seagrass that are not taken into account. The model also does not account for interactions between seagrass abundance and the environmental conditions. It is also important to consider that management decisions, such as adding a break wall to minimize wave action, will likely affect other environmental factors indirectly. Despite some issues with this model, it does provide a start. Further work, such as adding additional environmental variables to the model, has the potential to make modeling an effective tool for restoration and conservation of seagrasses.

 

Reference:

Adams, M. P., Saunders , M. I., Maxwell, P. S., Tuazon , D., Roelfsema, C. M., Callaghan, D. P., et al. (2015). Prioritizing localized management actions for seagrass conservation and restoration using a species distribution model. Aquatic Conservation: Marine and Freshwater Ecosystems.

Waycott, M., Duarte, C.M., Carruthers, T.J.B., Orth, R.J., Dennison, W.C., Olyarnik, S., et al. (2009). Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proceedings of the National Academy of Sciences of the Unites States of America.

Competitive Interactions Between South American Sea Lions and Fishermen in Southern Brazil

By James Keegan, RJD Intern

Often, humans and top predatory carnivores compete for the same resources, even in the marine environment. This conflict occurs where fishing operations of humans and feeding areas of the predators overlap. In South America, fishermen complain of adverse competition from South American sea lions, which interact with all types of fishing gear. South American sea lions can interact with fishing effort either directly or indirectly. They can damage the fish captured by nets or the nets themselves, or they can decrease the relative abundance of local fish, decreasing the fishermen’s yield. Conversely, this competition can adversely affect the sea lions, decreasing their populations or changing their diet composition. Machado et al. 2015 sought to understand the competitive influence between humans and South American sea lions by providing the first detailed characterization of direct interactions between coastal gillnet fishing and the sea lions in Brazil.

Off the coast of southern Brazil, medium-scale gillnet fishing is the predominant fishing activity. Gillnets are vertical panels of netting hanging in the water column which allow fish to pass their heads through the netting, but not their bodies. The net then snags onto the fish’s gills as they try and back out, capturing the fish. Gillnet fishing activity in this region was monitored during three periods: 1992 to 1998, 2003 to 2005, and 2011 to 2012. During the surveys, scientists collected vessel characteristics, fishing area and net location gear type, target species, fishing effort (length of the nets and soak time), number of fishing operations (recovery of the net from the water), fish species captured, and the number of South American sea lions present near a net during a fishing operation.

Study area showing two fishing harbors (Imbé and Passo de Torres) in Southern Brazil. The gray circles represent fishing operations based out of Imbé and the gray triangles represent fishing operations based out of Passo de Torres. (Machado et al. 2015)

Study area showing two fishing harbors (Imbé and Passo de Torres) in Southern Brazil. The gray circles represent fishing operations based out of Imbé and the gray triangles represent fishing operations based out of Passo de Torres. (Machado et al. 2015)

Machado et al. 2015 found that South American sea lions interacted with gillnets in 24% of the fishing operations monitored. They also found that interactions increased with increased soak time, and that interactions were significantly affected by the seasons, with more interactions occurring in the winter. Moreover, in 85.3% of the interactions recorded, South American sea lions ate fish caught in the nets. In order to trick or drive the sea lions away, fisherman would resort to tactics like throwing fireworks in the water or putting out decoy nets. Fortunately, no sea lion mortalities occurred during the study due to incidental capture or injury caused by fishermen.

Relative frequency of occurrence of interactions between South American sea lions and coastal gillnet fishing in the two study areas of Imbé and Passo de Torres in southern Brazil during the three study periods (1992-2012). (Machado et al. 2015)

Relative frequency of occurrence of interactions between South American sea lions and coastal gillnet fishing in the two study areas of Imbé and Passo de Torres in southern Brazil during the three study periods (1992-2012). (Machado et al. 2015)

The highest frequency of interactions occurred in autumn and winter. This may be due to the low fish availability during that time, requiring a greater effort from the sea lions to obtain food, which creates a driving force for targeting fishing vessels. However, these interactions seem not to have a great economic impact on fisheries because they do not occur at a high frequency throughout the year, and the amount of fish the South American sea lions consume represents about .8 to 3.5% of the total landed value of the catch (Machado et al. 2015). Nevertheless, South American fishermen have a negative view of the sea lions, saying that they cause a significant economic loss. Moreover, this negative perception will only worsen in the future as fish stocks continue to decrease and competition for this resource increases. In order to alter this perception, a fisheries management system needs to be developed that reduces fishing effort and recovers fish stock. Additionally, by educating fishermen on the real economic impact sea lions have on their production, conflicts between fishermen and sea lions would decrease.

 

References:

Machado, R., Henrique, P., Benites Moreno, I., Danilewicz, Tavares, M., Alberto Crespo, E., Siciliano, S., Rosa De Oliveira, L. (2015). Operational interactions between South American sea lions and gillnet fishing in southern Brazil. Aquatic Conservation: Marine and Freshwater Ecosystems. doi: 10.1002/aqc.2554

Masked, diluted and drowned out: how global seafood trade weakens signals from marine ecosystems

By Jake Jerome, RJD Graduate Student

It has been shown that global seafood trade inherently drives seafood production, negatively impacting marine ecosystems worldwide. While it is well known that these ecosystems are deteriorating, most research has been focused on global stock assessments, catch trends, or fisheries dynamics, with little attention given to researching the ways in which global trends are linked to consumers through trade. Fish prices can potentially be used as a feedback signal to consumers about the state of fisheries and marine ecosystems, but this method faces several issues. Crona et al 2015 dive deeper into the usefulness of using fish prices as a feedback signal, but develop a set of mechanisms that combine to weaken this signal from global trade to consumers.

The first mechanism that weakens price signals is masking. Masking occurs within individual fisheries and consists of two parts. First, negative impacts that arise from fishing are often separated from the operating cost of the fishery. For example, fisheries may cause habitat destruction or result in bycatch of endangered animals, but neither of these have a large impact on the yield or cost. Second, short-term catch trends may not provide accurate representation of target stock declines due to factors such as increased effort, technological advances, and fishing deeper or farther from shore.

Image1_Fishery

Shrimp trawl net with bycatch (Elliott Norse, Marine Conservation Institute/Marine Photobank)

The second mechanism discussed is dilution. Dilution occurs when the amount of supply that an individual fishery has declines but is hidden from consumers by using the supply from another resource area. For example, the UK imports Atlantic cod from Iceland and Faeroes to make up for the decline of North Sea cod. Through dilution, changes in any one ecosystem are concealed from consumers because substitutable products are made available from different ecosystems.

A third mechanism examined is the ‘drowning out’ of price signals. This is usually due to other market factors that affect fish prices. Things like changes in consumer spending patterns or price/availability of alternative protein sources can combine to alter fish prices that do not necessarily connect with ecosystem or species decline.

Chilean Seabass for sale at Whole Foods (Gerick Bergsma 2011/Marine Photobank)

Chilean Seabass for sale at Whole Foods (Gerick Bergsma 2011/Marine Photobank)

In conclusion, the authors suggest that the feedback from individual fisheries to consumers worldwide is highly asymmetric and that price signals reflecting changes in the source ecosystem typically are masked, diluted, or drowned out unless large proportions of seafood stocks collapse. Despite this, opportunities do exist that possibly could help provide a positive feedback signal to consumers, resulting in promoting sustainable seafood practices.

Source: Crona, B. I., Daw, T. M., Swartz, W., Norström, A. V., Nyström, M., Thyresson, M., Folke, C., Hentati-Sundberg, J., Österblom, H., Deutsch, L. and Troell, M. (2015), Masked, diluted and drowned out: how global seafood trade weakens signals from marine ecosystems. Fish and Fisheries. doi: 10.1111/faf.12109

An Analysis of Movement Patterns in Smalltooth Sawfish

By Laura Vander Meiden, RJD Intern

A new study by researchers at Florida State University and NOAA National Marine Fisheries assesses the habitat needs of juvenile smalltooth sawfish in an attempt to better understand what measures should be taken to protect them. Smalltooth sawfish are bottom dwelling fish very distantly related to sharks. They, and other sawfish, are characterized by their long, toothed rostrum (nose) that closely resembles a saw blade. This snout is quite prone to getting tangled in fishing gear which, in addition to habitat loss and exploitation by the global animal part trade, has led all five species of sawfish to be listed as either endangered or critically endangered. By analyzing the movements of juvenile smalltooth sawfish, this study adds to the base of knowledge needed to properly care for these species.

Entangled sawfish.

A sawfish entangled in fishing line., Photo by Tobey Curtis/ Florida Museum of Natural History

The study took place in three southern Florida bays, two in Everglades National Park and one in Ten Thousand Islands National Wildlife Refuge. Though the bays varied in size, all were lined with red and black mangroves and were “relatively pristine” compared to other areas in which sawfish are found. This use of optimal habitat allowed the scientists to see what juvenile sawfish behavior should look like, information that can then be used to improve less optimal habitats.

The scientists tagged seven juvenile sawfish with acoustic transmitters. These transmitters had a battery life of six months during which they would emit a signal every two to three seconds. Signals had to be actively gathered by researchers with a hydrophone and receiver; the signals didn’t automatically go into database.  Overall, the researchers collected 224 hours of movement data. From this data they found that the sawfish stayed close to mangroves each individual stayed, on average, less that 100m from mangrove-fringed shoreline. The juveniles also had the highest rate of activity at night, suggesting that this was when they foraged for food. Most interestingly, they found that the size of area in which the sawfish moved directly correlated with the size of the bay, however in all cases the activity space for each individual increased day by day.

This information is important for sawfish management plans, since habitat requirements for juvenile sawfish may have been previously underestimated in studies that did not take continuous measurements of activity space. The scientists hypothesize that this increase in activity space could be due to the rapid growth of juvenile sawfish and a way to avoid competing for food with other juvenile sawfish. The fact that sawfish in larger bays had larger activity spaces while those in smaller bays had smaller activity spaces is also important.  This means that one overall management plan may not be best for the sawfish. Instead management plans should be specific to each area they address.

800px-Sawfish-plate

A plate sketching of a sawfish.

Ultimately this study added significantly to existing information on the habitat requirements of juvenile sawfish. The results from this study can serve as a platform upon which new research and improved management plans can be built, both of which are integral in protecting smalltooth sawfish populations.

 

References

Hollensead, L., Grubbs, R., Carlson, J., & Bethea, D. (2015). Analysis of fine-scale daily movement patterns of juvenile Pristis pectinata within a nursery habitat. Aquatic Conservation: Marine and Freshwater Ecosystems.

Recreational angling intensity correlates with alteration of vulnerability to fishing in carnivorous coastal fish species

by Dani Escontrela, RJD intern

Fish behavior affects the vulnerability they have to fishing gear and therefore is a key player in determining and moderating the impacts of fishing on wild populations. In a theory known as the foraging arena theory it is explained that behavioral adaptation is driven by two main forces: predation risks caused by natural predators or by fishing. To avoid predation fish will cluster into two groups, one in which they are vulnerable or one in which they are invulnerable to predation. The decision to go into one of these groups will determine the proportion of fish that are vulnerable to fishing gear. There are two mechanisms that can affect the flow of fish from vulnerable to invulnerable pools in response to fishing gear. On the one hand there are evolutionary pressures in which the bolder fish were more often in the vulnerable pool and got taken out of the population by fishing due to their increased risk of being caught. On the other hand, fish could have acquired gear avoidance behaviors through individual or social learning. Either of these explanations leave behind individuals that are harder to catch therefore increasing the number of individuals in the invulnerable pools as fishing pressures increase.

The experiment set out to determine how species-specific behavioral responses to recreational angling gear altered the proportion of vulnerable and invulnerable pools in the wild with increasing fishing pressures. They used two fish species with different foraging ecologies to determine their vulnerability to recreational angling gear. They hypothesized that recreational angling, which is a human predation risk for fishes, causes a change in behavior which in turn causes the proportion of fish in the vulnerable and invulnerable pools to change. They used two fish species that share the same habitat but differ in their feeding ecology. The S. scriba is a carnivorous fish that feeds on mobile prey, making it more vulnerable to fishing, while the D. annularis is omnivorous and feeds on small, sessile prey, making it less vulnerable to fishing. The sampling site was off the coast of the Mediterranean along sea grass beds where these fish resided. The number of fishing vessels were counted at each study site and were an index of predation risk for the fish species. Meanwhile, video was used to record the fish’s behaviors when they were exposed to baited hooks. The latency time was recorded for an individual to ingest the bait on a baited hook; the baited hooks were then cut to void actual capture of the fish.

Histogram of latency time in seconds for S. scriba (left panel) and D. annularis (right panel). The inset panels show the proportion of captured (black) and non-captured (grey) in high and low intensity fishing environments for both fish species.

Histogram of latency time in seconds for S. scriba (left panel) and D. annularis (right panel). The inset panels show the proportion of captured (black) and non-captured (grey) in high and low intensity fishing environments for both fish species.

This experiment found a correlation between risk taking behaviors in relation to angling intensity for S. scriba, however no correlation was found for D. annularis. The experiment showed that some exploited fish species such as the S. scriba become less likely to take risks and therefore more invulnerable with increased fishing pressures. This migration of fish individuals from vulnerable to invulnerable pools may explain decreased catch rates and decreased fish abundance. This study found vulnerability to fishing to be substantially different in S. scriba that inhabited highly exploited sites compared with individuals in lower exploited areas. Three implications can be drawn from these results. First of all, the increased amount of fish species in invulnerable pools due to increased recreational fishing pressures can have implications for population dynamics, food web interactions, the productivity of the fishery and individual fitness. Second, assessing population abundance from hook-and-line-based catch may be unreliable since different fish species and populations have different behaviors therefore affecting how vulnerable they are to being caught. Finally, because behavior and life history traits are often correlated, one should be careful in regards to sampling bias caused by preferential capture of certain behavioral types.

Graph correlating latency time and survivorship (non-capture) for S. scriba (in gray) and D. annularis (in black). The solid lines show the survival distribution and the broken lines show the 95% confidence interval

Graph correlating latency time and survivorship (non-capture) for S. scriba (in gray) and D. annularis (in black). The solid lines show the survival distribution and the broken lines show the 95% confidence interval

Alós, Josep, Miquel Palmer, Pedro Trías, Carlos Díaz-Gil, and Robert Arlinghaus. “Recreational angling intensity correlates with alteration of vulnerability to fishing in a carnivorous coastal fish species.” Canadian Journal of Fisheries and Aquatic Sciences 72, no. 999 (2014): 1-9.

The Intrinsic Vulnerability to Fishing of Coral Reef Fishes and Their Differential Recovery in Fishery Closures

By Gabi Goodrich, RJD intern

Coral reefs have long been regarded as the treasure of the sea. Not only are they aesthetically pleasing but also are used as a staple in fishing ventures. However, biodiversity is an essential part of the ecosystems health. Strong biodiversity is critical for the upkeep of many ecosystem functions such as chemical composition of the waters and atmosphere, biomass creation and regulation of flora and fauna, nutrient cycling, and overall health of the individual species in said ecosystem. When biodiversity decreases because populations do not have a chance to recover as a result of intensive fishing, the ecosystem will also suffer. A tell tale sign of overfishing is the loss of amount of fish caught over time.  So what happens when causes major losses in species?

Capo_Caccia_e_Punta_Giglio

In a paper published by Rene Abesamis, Alison Green, Garry Russ, and Claro Jadloc, life history-based predictions on the vulnerability of coral fishes were compared to data collected on the fishes to determine to see if predictions agreed with the data collected and to show possible scenarios for recovery within fully protected areas and periodically harvested fishery closures. Although reef fishes as a whole are vulnerable to fishing, large carnivorous fish are predicted to be particularly vulnerable to fishing compared to the smaller fish, which place lower in the food web.  Compared to empirical data, fish populations that are highly vulnerable will also have a longer recovery rate to achieve carrying capacity in fully protected areas in contrast with the less vulnerable species. The carnivorous large-bodied species are also the ones that are targeted for fishing and are a major form of bycatch. It is estimated that 80% of the biomass of large bodied fishes such as billfish, cod, and sharks was typically removed from the world’s major oceans within the first 15 years of industrial fishing (Myers and Worm, 2003).  Is the only solution to cease fishing all together? The group says no; instead they suggest five steps. The first suggestion is to expand age-based demographic studies of economically and ecologically important reef fish to improve the estimates on vulnerability. This could help further protect the fish in the future. The second suggestion is for long term and/or permanent protection of no-take reserves to allow populations to recover fully and reach carrying capacity. The long-term protection would be upwards of 20 to 40 years, however, the more feasible option would be permanent protection. The third suggestion is a stringent agreement that these protected areas are no-take and if agreement is broken, it could delay the recovery of the populations. The fourth suggestion is a strict but careful timing and amount of harvesting in closures to allow for maximum long-term benefits for the fisheries. Lastly, the group suggests the use of periodically harvested closures together with, rather than instead of, permanent no-take reserves. Thus, harvesting would not cease but rather be strictly controlled. Overall, the goal would be to not only increase fisheries but also have a positive correlation with the economy.

 

WORK CITED:

 

Abesamis, Rene, Alison Green, Garry Russ, and Claro Jadloc. “The Intrinsic Vulnerability to Fishing of Coral Reef Fishes and Their Differential Recovery in Fishery Closures.” Springer Link. Reviews in Fish Biology and Fisheries, 01 Dec. 2014. Web. <http://link.springer.com/article/10.1007%2Fs11160-014-9362-x>.

 

 

Practical Management of Cumulative Anthropogenic Impacts with Working Marine Examples

By Robbie Roemer, RJD student

Paper by Andrew Wright and Line Khyn

Technological advances as well as the need for energy exploration and natural resource utilization have intensified and expanded anthropogenic pressures on the environment. Nowhere are these pressures more prevalent than the marine coastal areas of the globe; fisheries, offshore renewable energy sources, and the ever-increasing demand for petroleum are the highest contributing factors.  This increase in activity subsequently surges the magnitude, extent, and time-interval of adverse effects to the marine biotic ecosystem.

Recently there has been a major shift in the strategy of ecosystem management, including ecosystem based management approaches and marine spatial planning. In order to meet the requirements of these new management approaches, efforts have been implemented to quantify the cumulative impacts of human activity on marine species populations. The authors believe there is sufficient scientific evidence to support limiting the impact to marine organisms, and suggest a six-pronged approach for facilitating the capping of anthropogenic effects to the environment.

A

Human (or anthropogenic) activity originates in many varieties, including commercial shipping, oil and gas exploration, dredging, hunting, industrial construction, and even fishing. With such a wide variety of activities taking place it is to be expected they introduce numerous threats and stressors to the marine ecosystem including physical disturbances, chemical runoff, and noise pollution. The authors stress the importance of not adding the total impact of all interactions, citing the importance to quantify interactions that could potentially lead to greater overall impacts to the ecosystem. The authors state that ecosystem based management and marine spatial planning may offer solutions to this paradigm, but these potential solutions are data hungry, and move at an incredibly slow pace.  While anthropogenic impacts affect all forms of marine life, the study centered on marine mammals due to particular expertise of the authors.

The Six-Pronged Approach

  1. Minimizing Exposure

Exposure of wildlife to human activities at lower measures will undoubtedly have less of an impact than species exposed to higher rates and levels of anthropogenic activity. It is suggested early evaluations as well as Environmental Impact Assessments (EIA) will minimize exposure of a certain species or at the very least, reduce the exposure to sensitive individuals if total avoidance cannot be achieved

  1. Management Cycle

Assessing the collective impacts of a project with enough advance of each activities start dates is deemed to be one of the simplest ways for managers to effectively limit the collective impact of the projects. Management cycles can be established so that proposals for human activity within a management area must be submitted by a given deadline so all conjunct activities or projects can be considered simultaneously.  The U.S. National Fisheries Service has already utilized application cycles, establishing application deadlines for all researchers planning to focus on Stellar Sea Lions.

  1. Cross-Company Collaboration

In relation to management cycles, the combined effects of multiple anthropogenic projects cannot be evaluated on a linear scale. Instead it is suggested quantitative models be used, accounting for different aspects of the entire proposed list of projects. This will subsequently allow companies to reduce cumulative effects before they submit applications.

  1. Zero-Sum Management

Naturally, anthropogenic environmental damage could be curtailed if the current level of impact from human sources was considered the maximum allowable. Zero-sum management effectively represents no additional impact can be added to a population or region, and the impacts from ongoing activities must be offset. This management strategy may be particularly effective for species populations that are severely declining or even data deficient.

  1. Uncertainty Built into Thresholds

A caveat to zero-sum management is the need to recognize and accept that the quantified magnitude of any impact is most likely underestimated, regardless of how the magnitude is measured. The recognition of this uncertainty as well as others in management strategies is useful, if not essential, for mitigating anthropogenic effects to marine populations. The need for integrating such uncertainties in management has already been realized and incorporated in the calculation of maximum marine mammal bycatch take for fisheries, which is known as potential biological removal (PBR).

 

  1. Facilitating Future Management

The authors suggest that management agencies should require the collection of data to determine the extent to which the marine habitat would be altered. To ascertain anthropogenic stressors, a call for basic biological research be assessed prior to the activity. The authors also propose the publishing of said data to allow public dissemination of the results.

Such management strategies as the ones listed would undoubtedly have significant cumulative effects to reduce anthropogenic effects to marine organisms. Assessing and applying management strategies like these is most important considering the intensification of offshore energy exploration, especially as the potential for energy exploration escalates as the artic opens from climate change.

There are several disadvantages that should be mentioned in implementing such management strategies. Management cycles have been proven to be detrimental to those who propose the anthropogenic activities (industries), which will lessen support for management agencies. Several presumptions also underlie the effectiveness of area based mitigation, such as, different habitats of the overall ecosystem must be viewed as equally important to the species of interest, and species perceive the anthropogenic disturbances as an immediate threat, responding accordingly by utilizing avoidance.

If these shortcomings can be addressed and moderated, the six management approaches listed could have long standing positive effects to mitigate the detrimental anthropogenic effects to the marine ecosystem, used independently or synchronously.

 

Citation:

Wright, Andrew J., and Line A. Kyhn. “Practical management of cumulative anthropogenic impacts with working marine examples.” Conservation Biology(2014).

Effects of Global Warming on Polar Bears in the Arctic

by Dani Ferraro, RJD intern

Global warming and the loss of Arctic sea ice is affecting populations of polar bears (Ursus maritimus) in Hudson Bay. Localized rises in sea surface temperatures (SST) have lead to mortality events and habitat changes for several marine species (Dulvy et al. 2008). While some species have adaptations that allow them to tolerate warming events, the loss of habitat and consequent die-offs of prey species is devastating.  The Hudson Bay Lowlands (HBL), the second largest inland sea in the world and home to polar bears, has warmed approximately three degrees Celsius since the 1990s (Ruhland et al. 2013).  With warmer air temperatures and increasingly rising SST comes the loss of winter ice-cover and reduced snow depth. This has directly caused the mortality of polar bear cubs and their prey, the ringed seal (Phoca hispida) and the bearded seal (Erignathus barbatus). As the forage and movement patterns of ringed seals and closely linked with sea ice, loss of this habitat could explain this mortality. The latest population estimates are about 21,500-25,000 individuals throughout the circumpolar Arctic (Luque et al. 2014).

 Ice formation in early November in Hudson Bay, Canada. Image Source: Wikimedia Commons

Ice formation in early November in Hudson Bay, Canada. Image Source: Wikimedia Commons

As a k-selected species, polar bears have delayed maturation and high adult survival rates, but smaller litter sizes. Sea ice acts as a polar bear’s hunting grounds, with terrestrial habitats as their maternity and breeding grounds. For female polar bears, impacts beyond loss of habitat exist. With reduced sea ice, females will have a cascading loss of adipose stores, causing lowered reproductive rates. This loss of adipose means that females have less fat to invest in their cubs throughout the winter season and subsequent fasting season. With reducing sea ice thickness, it becomes thinner and more pliable to winds and currents. Polar bears will respond with increased walking or swimming, using higher energy in order to retain their habitat range.

It’s important to acknowledge the differences in sea ice thickness and location. Polar bears prefer the annual sea ice located over the inter-island archipelagos and continental shelf surrounding the polar basis. This sea ice has declined in near shore areas and in amount of multiyear ice. With this decline comes the decrease in preferred habitat locations for polar bears, as well as other pagophilic species throughout the arctic marine ecosystem. Large expanses of open water due to melting sea ice often separates terrestrial maternity dens from residential pack ice. Pregnant females have a tendency to leave their residential areas during ice break-up and remain separated throughout the summer. In order to endure the summer before they can return to sea ice to feed, females need to have built up sufficient fat stores to sustain themselves for at least 8 months. However, considering the preferred location of polar bears: the deep polar basin, where there is a lower seal density, females will find difficulties obtaining sufficient fat stores. Without having accumulated adequate adipose stores, females have fewer nutrients to pass along to nursing cubs. Due to lower energy and fat stores, females are more likely to give birth to single cub litters, often with low survival rates caused by small body mass (Derocher).

Image 2 Ferraro

Polar Bear (Ursus maritimus) Image Source: Wikimedia Commons

 

 

With increasing SST and breaking sea ice, polar bears use more energy moving against the direction of ice drift. If ice moves more quickly, more energy is needed to move and hunt accordingly. Once sea ice concentration falls below 50%, polar bears tend to stick to terrestrial environments. Hunting and hauling prey onto land is energetically costly, requiring older polar bears to consume more, leaving fewer scraps for juveniles to scavenge. Combined with lower female productivity, the loss of food for juveniles doesn’t bode well for polar bear populations in the future. The impacts of climate change and global warming are already being seen with increasing sea surface temperature and decreasing sea ice depth. These habitat changes cause a cascading shift down the Arctic ecosystem, from habitat loss to mass mortality and reduced productivity. There will be shifts in survival rates, maturation age, and reproductive rates in populations of polar bears as well as that of its prey, both the bearded seals and ringed seals. With such a limited habitat in the circumpolar Arctic, global warming and climate change have a drastic effect on their populations, environments, and breeding habits.

 

 

Derocher, A. (2004). Polar Bears In A Warming Climate. Integrative and Comparative Biology, 163-176.

Dulvy, N.K., Rogers, S.I., Jennings, S., Stelzenmuller, V., Dye, S.R. & Skjoldal, H.R. (2008) Climate change and deepening of the North Sea fish assemblage: a biotic indicator of warming seas. Journal of Applied Ecology, 45, 1029–1039.

Luque, S., Ferguson, S., & Breed, G. (2014). Spatial behaviour of a keystone Arctic marine predator and implications of climate warming in Hudson Bay. Journal of Experimental Marine Biology and Ecology, 504-515.

Ruhland, K., Paterson, A., Keller, W., Michelutti, N., & Smol, J. (2013). Global warming triggers the loss of a key Arctic refugium. Proceedings of the Royal Society B: Biological Sciences, 20131887-20131887.

Effects of temperature and CO2 increases on Sargassum Seaweed Communities

by Alice Schreiber, RJD intern

Located within the North Atlantic Gyre is a floating ecosystem of brown algae called Sargassum. The seaweed forms clumps the size of fists, or larger raft-like clusters that group together forming a biodiverse habitat, extending up to 100 miles or more, in a place that is otherwise oligotrophic, or lacking in life sustaining nutrients. This mass of algae has come to be known as The Sargasso Sea.

Study area

Study area

The Sargasso Sea has been designated as “essential fish habitat” and provides a high-productivity location for pelagic fishes and seabirds to feed and spawn. Pelagic Sargassum is a habitat to a reported 100 fish species, four turtle species, and over 145 invertebrates, sponges, fungi, bacteria, diatoms, and protists (Coston-Clements et al. 1991; Trott et al. 2010; Thiel and Gutow 2005a).

Ocean acidification and rising water temperatures caused by an increase of atmospheric carbon dioxide may impact Sargassum and the species that rely on it. Higher levels of CO2 can stimulate the growth of macroalgae but can reduce the formation rate of calcareous skeletal structures, decreased reproduction, and increase mortality in organisms with shells or calcareous exoskeletons

Huffard et al., published a paper this year hypothesizing that seaweed will survive changing ocean conditions better compared to the faunal organisms in the same community. The data gathered in this study is compared to 88 historical datasets and data taken from 1966 to 1975 from the same location between Bermuda and the Bahamas. Biodiversity, sea surface temperatures and the CO2 concentration was studied.

The researchers found that sea surface temperatures at one of the stations near Bermuda has increased slightly and gradually since 1969 (Huffard 2014). In the same location pCO2 has increased since 1984. Mobile macrofauna samples for diversity and evenness were significantly lower in this study compared to ones conducted in 1972 and 1973. A key isotherm in the Sargasso sea has shifted northward and extreme weather events have higher wind speed and wave height. Differences in sampling methods between this study and the historic studies do not allow for statistical comparison, but calcifying bryozoan coverage was low compared to samples taken in the 1970s.

Photo by University of Southern Mississippi Gulf Coast Research Laboratory

Photo by University of Southern Mississippi Gulf Coast Research Laboratory

These findings support the hypothesis that different species and animal communities vary in their ability to withstand temperature and pH changes. It is possible that increased acidity due to a lower pH leads to a decrease in bryozoan coverage by negatively impacting their ability to form exoskeletons. Long-term monitoring of Sargassum communities is necessary to determine whether these changes are indicative of a failing ecosystem or just low points of diversity in a naturally varying ecosystem.

Coston-Clements L, Settle LR, Hoss DE, Cross FA (1991) Utilization of the Sargassum habitat by marine invertebrates and vertebrates: a review. NOAA Technical Memorandum NMFS-SEFSC-296

Trott TM, McKenna SA, Pitt JM, Hemphill A, Ming FW, Rouja P, Gjerde KM, Causey B, Earle SA (2010) Efforts to enhance protection of the Sargasso Sea. Proceedings of the 63rd Gulf and Caribbean Fisheries Institute. Nov 1–5, 2010, San Juan, Puerto Rico, pp 282–286

Thiel M, Gutow L (2005a) The ecology of rafting in the marine environment. I. The floating substrata. Oceanographic Marine Biology Annual Revue 42:181–264

Huffard, C. L., von Thun, S., Sherman, A. D., Sealey, K., & Smith Jr, K. L. (2014). Pelagic Sargassum community change over a 40-year period: temporal and spatial variability. Marine biology161(12), 2735-2751.

 

 

Can Recreational Fishing Exist in Urban Societies?

By Emily Rose Nelson, RJD student

Recreational fishing is defined as “fishing of aquatic animals that do not constitute the individual’s primary resource to meet basic nutritional needs are not generally sold or otherwise traded on markets,” or simply put, fishing for fun. Anywhere from 220 to 700 million people participate in recreational fishing worldwide. At least 118 million of those people are from the modern industrial world, residing in North America, Europe, and Oceania. A recent study in Fisheries Management and Ecology attempts to explain the inconsistencies in recreational fishing participation rates across industrialized countries. Arlinghaus et al. performed a literature search identifying numbers of recreational fishers in a given country or state to test five different hypothesis regarding recreational fishing rates in industrialized and post industrialized countries.

Recreational fishing is used as a sport and way to relax by people across the globe. (Wikimedia Commons)

Recreational fishing is used as a sport and way to relax by people across the globe. (Wikimedia Commons)

First, they showed that recreational fishing participation is positively related to the cultural importance (represented using total fish landings and per capita fish consumption) of fish in a given country. Countries that have long standing traditions of fishing as a primary food source or as a primary source of income through commercial operations place higher value on the activity. In these societies there is enhanced interest in fishing for recreation as time and resources become available. In addition, people are more likely to spend time fishing at a young age and pass the traditions onto their children. The overall culture of a society will form a general interest or lack of interest in fishing, however, culture is less important compared to other social factors in explaining recreational fishing participation.

Alringhaus et al. also showed that the availability of fishing opportunities is important in predicting the recreational fishing participation rates in a given country. Urban development has reduced the amount of unmodified land and water for activities like hunting and fishing. By changing the landscape, large portions of industrialized societies have been cut off from direct contact with nature and opportunities to participate in recreational fishing have declined. It is likely that younger generations in these areas will seek alternative activities in order to meet the same psychological needs that fishing would. By analyzing the relative surface area of freshwater, access to coastline, and number of recreational fishers it became clear that countries with higher water availability show higher recreational fishing rates. However, results were not significant and thus access to fishing opportunities has only minor influence on participation rates.

Miami_aerial_01

: In this image of Miami it is clear how the development of the city has limited access to the water. (Wikimedia Commons)

The third and fourth hypotheses were more strongly connected to the individual. The availability of resources in terms of time and money and perceived need for leisure of an individual were positively related to recreational fishing participation. The average age, average household size, and unemployment rate of a given society were used to represent availability of resources. Alringhaus et al. showed that increased age and increased financial constraints result in decreased recreational fishing participation. In societies where the average individual has ample physical, time, and financial resources recreational fishing rates are increased. In addition, individuals must have the interest and knowledge to partake in fishing in the first place. Using average weekly working hours as a proxy for an individual’s perceived need for leisure, the study showed that recreational fishing participation increases when people feel they need more time to relax. Fishing provides people with a temporary escape from the stress and commitments from every day life.

Of the multiple variables tested, the most important predictor of recreational fishing participation was urbanization. Population density and per capita gross domestic product were used to measure the urbanization and economy of a given society. Arlinghaus et al. showed that interest in recreational fishing initially rises with development but it then reaches a peak and starts to decline. Urbanization of a society involves a shift in overall values and opinions of wildlife and the environment. New values and norms are created that reduce the credence of fishing as a source of leisure and minimize the interest of the public in outdoor activities. The “videophilia hypothesis” argues that in developing societies nature based recreation is increasingly being pushed aside for electronic activities. As less active activities grow in popularity in urban societies recreational activities will be increasingly less active as well. Simply put, post- industrialization societies tend to have much lower recreational fishing participation rates.

Overall, it can be concluded that steady and increasing interest in recreational fishing will occur for societies in transition toward urbanization and economic development. However, in highly urbanized societies these rates are predicted to decrease. Management and marketing campaigns could be used to maintain fishing interest in years to come. In order for these efforts to be successful people must know where fishing opportunities exist, how to utilize these resources, and be able to do so at low costs. Without intervention urban societies will continue to participate in alternate leisure activities and lose connection with nature.

Arlinghaus, R., Tillner, R., & Bork, M. (2014). Explaining participation rates in recreational fishing across industrialized countries. Fisheries Management and Ecology, 22(1), 45-55