nursery habitat suitability model for juvenile lue rabs in the...

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To determine the suitable nursery grounds for the megalopae larval stage of the Blue Crab , in the Chesapeake Bay, four of the most important environ- mental factors were analyzed using ArcMap 10 GIS soſtware. These factors were dissolved oxygen (DO) concentraon, salinity, submerged aquac vegetaon (SAV) density, and depth. Land use in the surrounding watershed was also considered, but was not used to determine suitable habitat. Datasets were found online from the Chesapeake Bay Program Data Hub, PASDA, and VIMS’s Chesapeake bay SAV monitoring program. The depth layer was created by selecng by aribute (“Depth”) from the DO layer. All layers were projected into NAD_1983_StatePlane_Maryland_FIPS_1900 (Meters). The DO and salinity layers were first defined into the WGS_1984 Geographic coordinate system and then projected. Select by aribute was used to select only those data points that were for the boom (B) and below pycnocline (BP) layers of the Bay, for the DO, salinity and Depth layers. This was because the juvenile crabs only live on or near the boom and thus surface condions are not im- portant factors in determining habitat quality (Pugh, 2005). Interpolaon using “spline with barriers” was used to convert the DO, salinity and Depth values to bay wide, connuous, raster data layer. The barrier was created by selecng the Bay (water body) aribute from the land-use basemap, and exporng it as its own polygon layer. Extract by mask was then used on the results of the splines, to make sure that the raster output only included those values that were inside the boundary of the Bay itself. The SAV layer was con- verted from polygon to raster, and then extract by mask, was used to create a layer which included only those values that were within the confines of the bay boundary. Each masked layer (DO, salinity, depth, SAV), was then reclassed from 1 to 5, with 5 being the most suitable. Dissolved oxygen concentraons of 5-8 mg O 2 /L were the best, and below 2 were the worst. Me- dium salinies (14-22) were most suitable, with slightly too low being beer then too high. High SAV density was ranked the best, with low or no SAV be- ing the worst condion. Depths less than 3ſt were most suitable, and anything deeper than 12ſt was ranked as worst. The last step was to use raster calculator to cre- ate the addive model for the reclassed data layers, to give a layer showing the “most” suitable juvenile crab nursery habitats. The possible values ranged from 4 to 20, however the results had an actual range of 5 to 17. Methods Nursery Habitat Suitability Model for Juvenile Blue Crabs in the Chesapeake Bay Suitable Nursery Habitat & Land Use Contribung Factors The Blue Crab (Callinectes sapidus) is one of the most charismac species of the Chesapeake Bay, a recognizable symbol for the mid-Atlanc region. Apart from its cultural importance, the blue crab fish- ery is the most important shellfish fishery in the Bay, and the second largest commercial crab fishery in the world (Chesapeake Bay Program, 1994). It is also one of the most vulnerable species to both natural and anthropomorphic environmental change. Therefore, the recent declines in catches, and abundance in the Bay has drawn the aenon of sciensts, policians, economists, and waterman alike. Developing ways to protect the blue crab and prevent the collapse of the fishery is of utmost importance and is the focus of several research instuons and government agency located near the Bay. Idenfying protected areas for the blue crab populaon is a difficult task as the crabs ulize al- most all areas of the bay, from high salinity to low sa- linity regions, and from shallow to deep waters, de- pending on the sex and age of the crab. For instance, the megalopae stage juvenile crab (Figure 1) seles in well-structured, low-to-medium salinity (13- 22ppt), seagrass bed habitats, which provide shelter from predaon as well as ample food resources, while adult males bury in the mud in the deep waters of the main-stem, and females migrate to the high salinity bay mouth to spawn (van Monrans et al., 2003; Pugh, 2005). As not all stages can be a pro- tected with one management strategy, sciensts have been focusing much effort on one stage - the ju- venile stages and their nursery habitats – as without connued recruitment and healthy growth of new recruits, the populaon will connue to decline. The connued development and increasing hu- man acvies around the bay pose the greatest threats to blue crab recruitment and juvenile nursery habitat, as it has lead to declining water quality and damaged habitat (Pugh, 2005). Therefore it is im- portant to idenfy the remaining areas in the Bay which are suitable for Blue Crab megalopae larvae, and focus protecon efforts on those areas. The pur- pose of this project is to use GIS to determine the ar- eas in the Chesapeake Bay that are the most suitable nursery habitats for the megalopae juvenile stage. The most important factors influencing juvenile crab habitat selecon and survival were analyzed in the model: dissolved oxygen (DO) (mg O 2 /L), submerged aquac vegetaon (SAV) density, depth (m), salinity (ppt), and land-use. Figure 1: Megalopae stage blue crab larvae. Figure 3: Nursery habitat suitability addive model, with land use in the surrounding bay watershed Introducon Figure 2: Map of the Chesapeake Bay and its wa- tershed Figure 4: The four contribung factors reclassified for use in the suitability model. From top leſt to boom right: depth, salinity, SAV and DO. 0 100 200 300 400 500 600 5 6 7 8 9 10 11 12 13 14 15 16 17 Frequency Suitablity Value Figure 5: Graph of the number of areas with each suitability val- ue The results of the suitability model emphasizes how the threatened condion of blue crab nursery habitat in the Bay ecosystem. Conservaon and management efforts should be focused on pro- tecng the two remaining coves of suitable juvenile blue crab habitat. This should include liming the amount of urban development around the coves, and the protecon of the wetland buffer. Urban de- velopment in the area would drascally decrease the suitability of the habitats as it would increase runoff, which would be even more destrucve as the development would also threaten the wetland buffer. In areas with high levels of urban development the DO and SAV suitability is quite low and the overall suitability drops to 7-11. Therefore, future management and protecon plans should focus the two clusters of suitable habitat isolated in this mod- el and work to keep levels of urban development to a minimum in the surrounding area. Conclusion Cartographer: Melissa Karp Date: April 29, 2013 Professor: Carl Zimmerman, TA: Carolyn Talmadge Class: ENV 107 Introducon to GIS Data sources: Chesapeake Bay Program Data Hub, VIMS Chesapeake Bay SAV survey, PASDA Projecon: NAD_1983_StatePlane_Maryland_FIPS_1900(meters) References: Chesapeake Bay Program (1994). Blue Crab Management Plan: Draſt. U.S. Environmental Protecon Agency King, R.S, A.H. Hines, F.D. Craige, and S. Grap. (2003). Regional, Waterhsed and local correlates of blue crab and bivalve abundances in subestuaries of Chesapeake Bay, USA. J. Exp Mar Bio and Ecol. 319, 101-116. Pugh, J.G. (2005). Blue Crab Habitat and Management in Chesapeake Bay. Master’s Thesis: Virginia Polytechnic Instute and State University Van Monrans, J., C.H. Ryer, and R.J. Orth. (2003). Substrate selecon by blue crab Callinectes sapidus megalopae and first juvenile instars. Mar Ecol Progr Ser. 260, 209-217. Based on the suitability model developed using the 4 environmental factors of importance, there are no remaining habitat in the bay which scores 100% suitable for all 4 factors. The most suitable habitat scored a 17, and only 2 areas had this high of a score. The next highest suitability was 16, with 34 sites. These sites were 80-85% suitable for meg- alopae juvenile blue crab nursery habitat, and come to 153.95 km 2 . This may seem like a large area, but when you consider the large area of the Bay (11,601 km 2 ), it makes up only 1.3% of the enre Bay area. Graphing the frequency of each suitability count also illustrates that high suitable habitat are- as are rare compared to medium quality habitats (figure 5). Comparison of most suitable nursery habitat to surrounding land use shows that the suitable habi- tat is located in two small coves which are sur- rounding by emergent and woody wetland which serves as a buffer from the culvated crop and pas- ture land. The wetland buffer helps prevent excess nutrients from entering the bay causing eutrophica- on and lowered DO, and death of SAV. It is also im- portant to note that these areas are also void of much development. One of the coves has almost no development in the surrounding area, and the oth- er areas has a very small amount of low develop- ment. These results are consistent with the data collected by King et al. (2003), who found that juve- nile crabs were most abundant in areas surrounded by wetlands, and least abundant in areas surround- ed by urban development Results low low low low high high high high

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Page 1: Nursery Habitat Suitability Model for Juvenile lue rabs in the …sites.tufts.edu/gis/files/2013/11/Karp_Melissa.pdf · The lue rab ( Callinectes sapidus) is one of the most charismatic

To determine the suitable nursery grounds for the megalopae larval stage of the Blue Crab in the Chesapeake Bay four of the most important environ-mental factors were analyzed using ArcMap 10 GIS software These factors were dissolved oxygen (DO) concentration salinity submerged aquatic vegetation (SAV) density and depth Land use in the surrounding watershed was also considered but was not used to determine suitable habitat Datasets were found online from the Chesapeake Bay Program Data Hub PASDA and VIMSrsquos Chesapeake bay SAV monitoring program The depth layer was created by selecting by attribute (ldquoDepthrdquo) from the DO layer

All layers were projected into NAD_1983_StatePlane_Maryland_FIPS_1900(Meters) The DO and salinity layers were first defined into the WGS_1984 Geographic coordinate system and then projected Select by attribute was used to select only those data points that were for the bottom (B) and below pycnocline (BP) layers of the Bay for the DO salinity and Depth layers This was because the juvenile crabs only live on or near the bottom and thus surface conditions are not im-portant factors in determining habitat quality (Pugh 2005) Interpolation using ldquospline with barriersrdquo was used to convert the DO salinity and Depth values to bay wide continuous raster data layer The barrier was

created by selecting the Bay (water body) attribute from the land-use basemap and exporting it as its own polygon layer Extract by mask was then used on the results of the splines to make sure that the raster output only included those values that were inside the boundary of the Bay itself The SAV layer was con-verted from polygon to raster and then extract by mask was used to create a layer which included only those values that were within the confines of the bay boundary

Each masked layer (DO salinity depth SAV) was then reclassed from 1 to 5 with 5 being the most suitable Dissolved oxygen concentrations of 5-8 mg O2L were the best and below 2 were the worst Me-dium salinities (14-22) were most suitable with slightly too low being better then too high High SAV density was ranked the best with low or no SAV be-ing the worst condition Depths less than 3ft were most suitable and anything deeper than 12ft was ranked as worst

The last step was to use raster calculator to cre-ate the additive model for the reclassed data layers to give a layer showing the ldquomostrdquo suitable juvenile crab nursery habitats The possible values ranged from 4 to 20 however the results had an actual range of 5 to 17

Methods

Nursery Habitat Suitability Model for Juvenile Blue Crabs in the Chesapeake Bay Suitable Nursery Habitat amp Land Use Contributing Factors

The Blue Crab (Callinectes sapidus) is one of the most charismatic species of the Chesapeake Bay a recognizable symbol for the mid-Atlantic region Apart from its cultural importance the blue crab fish-ery is the most important shellfish fishery in the Bay and the second largest commercial crab fishery in the world (Chesapeake Bay Program 1994) It is also one of the most vulnerable species to both natural and anthropomorphic environmental change Therefore the recent declines in catches and abundance in the Bay has drawn the attention of scientists politicians economists and waterman alike Developing ways to protect the blue crab and prevent the collapse of the fishery is of utmost importance and is the focus of several research institutions and government agency located near the Bay

Identifying protected areas for the blue crab population is a difficult task as the crabs utilize al-most all areas of the bay from high salinity to low sa-linity regions and from shallow to deep waters de-pending on the sex and age of the crab For instance the megalopae stage juvenile crab (Figure 1) settles in well-structured low-to-medium salinity (13-22ppt) seagrass bed habitats which provide shelter from predation as well as ample food resources while adult males bury in the mud in the deep waters

of the main-stem and females migrate to the high salinity bay mouth to spawn (van Montfrans et al 2003 Pugh 2005) As not all stages can be a pro-tected with one management strategy scientists have been focusing much effort on one stage - the ju-venile stages and their nursery habitats ndash as without continued recruitment and healthy growth of new recruits the population will continue to decline

The continued development and increasing hu-man activities around the bay pose the greatest threats to blue crab recruitment and juvenile nursery habitat as it has lead to declining water quality and damaged habitat (Pugh 2005) Therefore it is im-portant to identify the remaining areas in the Bay which are suitable for Blue Crab megalopae larvae and focus protection efforts on those areas The pur-pose of this project is to use GIS to determine the ar-eas in the Chesapeake Bay that are the most suitable nursery habitats for the megalopae juvenile stage The most important factors influencing juvenile crab habitat selection and survival were analyzed in the model dissolved oxygen (DO) (mg O2L) submerged aquatic vegetation (SAV) density depth (m) salinity (ppt) and land-use

Figure 1 Megalopae stage blue crab larvae

Figure 3 Nursery habitat suitability additive model with land use in the surrounding bay watershed

Introduction

Figure 2 Map of

the Chesapeake

Bay and its wa-

tershed

Figure 4 The four contributing factors reclassified for use in the suitability model From

top left to bottom right depth salinity SAV and DO

0

100

200

300

400

500

600

5 6 7 8 9 10 11 12 13 14 15 16 17

Fre

qu

en

cy

Suitablity Value

Figure 5 Graph of the number

of areas with each suitability val-

ue

The results of the suitability model emphasizes how the threatened condition of blue crab nursery habitat in the Bay ecosystem Conservation and management efforts should be focused on pro-tecting the two remaining coves of suitable juvenile blue crab habitat This should include limiting the amount of urban development around the coves and the protection of the wetland buffer Urban de-velopment in the area would drastically decrease the suitability of the habitats as it would increase runoff which would be even more destructive as

the development would also threaten the wetland buffer

In areas with high levels of urban development the DO and SAV suitability is quite low and the overall suitability drops to 7-11 Therefore future management and protection plans should focus the two clusters of suitable habitat isolated in this mod-el and work to keep levels of urban development to a minimum in the surrounding area

Conclusion

Cartographer Melissa Karp

Date April 29 2013

Professor Carl Zimmerman TA Carolyn Talmadge

Class ENV 107 Introduction to GIS

Data sources Chesapeake Bay Program Data Hub VIMS Chesapeake Bay SAV survey PASDA

Projection NAD_1983_StatePlane_Maryland_FIPS_1900(meters)

References

Chesapeake Bay Program (1994) Blue Crab Management Plan Draft US Environmental Protection Agency

King RS AH Hines FD Craige and S Grap (2003) Regional Waterhsed and local correlates of blue crab and bivalve abundances in subestuaries of Chesapeake Bay USA J Exp Mar Bio and Ecol 319 101-116

Pugh JG (2005) Blue Crab Habitat and Management in Chesapeake Bay Masterrsquos Thesis Virginia Polytechnic Institute and State University

Van Montfrans J CH Ryer and RJ Orth (2003) Substrate selection by blue crab Callinectes sapidus megalopae and first juvenile instars Mar Ecol Progr Ser 260 209-217

Based on the suitability model developed using the 4 environmental factors of importance there are no remaining habitat in the bay which scores 100 suitable for all 4 factors The most suitable habitat scored a 17 and only 2 areas had this high of a score The next highest suitability was 16 with 34 sites These sites were 80-85 suitable for meg-alopae juvenile blue crab nursery habitat and come to 15395 km2 This may seem like a large area but when you consider the large area of the Bay (11601 km2) it makes up only 13 of the entire Bay area

Graphing the frequency of each suitability count also illustrates that high suitable habitat are-as are rare compared to medium quality habitats (figure 5)

Comparison of most suitable nursery habitat to surrounding land use shows that the suitable habi-tat is located in two small coves which are sur-rounding by emergent and woody wetland which serves as a buffer from the cultivated crop and pas-ture land The wetland buffer helps prevent excess nutrients from entering the bay causing eutrophica-tion and lowered DO and death of SAV It is also im-portant to note that these areas are also void of much development One of the coves has almost no development in the surrounding area and the oth-er areas has a very small amount of low develop-ment These results are consistent with the data collected by King et al (2003) who found that juve-nile crabs were most abundant in areas surrounded by wetlands and least abundant in areas surround-ed by urban development

Results

low

low

low

low

high

high

high high