Stream ecology of an urbanizing watershed in the New Jersey Pine Barrens W.J. Cromartie*, J. Akers, D. Cummings, J. Cook, J. Leckenbush and G. Millar. Environmental Studies Program, Richard Stockton College, Pomona, NJ, USA
Dec 23, 2015
Stream ecology of an urbanizing watershed in the
New Jersey Pine Barrens
W.J. Cromartie*, J. Akers, D. Cummings, J. Cook, J. Leckenbush and G. Millar.
Environmental Studies Program, Richard Stockton College, Pomona, NJ, USA
ABSTRACTIn the NJ Pine Barrens, landuse, water chemistry and aquatic biota are changing as urban
development encroaches. The watershed of Babcock Creek, in Atlantic County, presents an opportunity to study four tributaries, each of which has been affected in different ways by changing landuse. Viewed counter-clockwise, from south to north: Adams Branch is highly urbanized, with elevated pH, and the ditched streambed carries a heavy load of sand. Jack Pudding Branch has the most agricultural land and high pH. Its upper section is impounded and ditched as well. Babcock Creek, the central stem, is least disturbed. Much of its watershed is hardwood swamp or Atlantic white cedar forest. Mankiller Branch shows chemical alteration, possibly from highway runoff.
There is a good correlation between pH and percent development within 1000 feet of the stream. The macroinvertebrate fauna of woody debris (submerged sticks 3-35 mm in diameter) provides a
readily sampled assemblage for biological monitoring in low-gradient, blackwater streams. We collected replicated stick samples at eight sites, both upstream, near disturbed areas, and
downstream at confluences, to test whether disturbance effects persisted. We sampled during three seasons over three years, including water chemistry data. We analyzed results using multivariate statistics and GIS. Adams branch is generally the most impoverished; flash flooding and shifting sediments may be responsible. Mankiller Branch had generally low invertebrate numbers. Jack Pudding Branch had low numbers, especially at the upstream site. Our results indicate that the macro-invertebrate assemblage on woody debris responds differently to each of the suspected
impacts. These differences were seen both at upstream sites and near the confluences, although the land surrounding the confluences was relatively undisturbed. We therefore suspect that chemical
changes, as well as increased sediment and physical alteration are responsible. key words: blackwater, macroinvertebrate, disturbance, biomonitoring
The Great Egg Harbor River Watershed is designated Watershed Management Area #15 by the NJ Department of Environmental Protection. Points shown are AMNET biomonitoring network sampling sites.
NEW JERSEY
Babcock Creek watershed
Sample points 2003-05
Study Areas
Babcock Creek above Spruce Street – Reference Site
This branch shows the richest fauna of the four tributaries to Babcock Creek. The pH and SC are close to typical Pinelands levels or only slightly elevated (Zampella et al.
2001, 2003).
Adams Branch – Ditched and unstable
Adams Branch receives runoff from a regional shopping mall, the Atlantic City Racecourse, and two condominium developments. The stream is ditched almost its entire length and carries a heavy load of sand and urban trash. Trees along the channel are collapsing into the stream. Base flow is extremely low.
Adams Branch
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
22.50 22.75 23.00 23.25 23.50 23.75 24.00 24.25 24.50 24.75 25.00 25.25 25.50 25.75
Days
Sta
ge
(dim
ensi
on
less
)
Duration of Storm
Morses Mills Stream at Port Republic
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
22.50 22.75 23.00 23.25 23.50 23.75 24.00 24.25 24.50 24.75 25.00 25.25 25.50 25.75
Days
Sta
ge
(dim
ensi
on
less
)
Duration of Storm
Adams Branch
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
22.50 22.75 23.00 23.25 23.50 23.75 24.00 24.25 24.50 24.75 25.00 25.25 25.50 25.75
Days
Sta
ge
(dim
ensi
on
less
)
Duration of Storm
Morses Mills Stream at Port Republic
0.00
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
22.50 22.75 23.00 23.25 23.50 23.75 24.00 24.25 24.50 24.75 25.00 25.25 25.50 25.75
Days
Sta
ge
(dim
ensi
on
less
)
Duration of Storm
Figure 1. Hydrograph of Adams Branch, above, showing the flash flooding of this highly urbanized stream, contrasting with a more typical Pine Barrens stream, right, dominated by groundwater flow (Courtesy Dr. Claude M. Epstein).
Table 1. Selected landuse characteristics for the Babcock Creek watershed. Derived from NJ Department of Environmental Protection data. Analyzed with Arc GIS8 (ESRI Software)
Site Number Stream %Dev
%Dev (300ft)
%Dev (1000ft)
%Agri culture
% Barren
% Forest
% Urban
% Wet lands
RSC020 Adams Branch 71 23 42 0.0 4.1 41.3 38.4 15.5
RSC028 Babcock Ck. at Spruce St. 27 9 21 15.9 0.1 22.1 5.1 56.7
RSC021 Babcock Ck. at Pine St. 23 9 17 10.4 0.2 35.9 6.5 46.6
RSC023 Babcock above confl. Jack P 23 9 17 9.6 0.3 34.9 6.9 47.9
ANO640A Babcock Ck. at Holly St. 27 10 20 14.3 0.1 25.2 5.8 54.4
RSC026 Mankiller at Holly St. 23 15 20 0.0 0.0 46.0 20.1 32.6
RSC027 Jack Pudding Br. at Liepzig 25 56 56 51.3 0.0 31.1 4.9 9.9
RSC022 Jack Pudding confl. Babcock 24 11 19 13.2 0.0 36.0 6.0 44.2
% Land Use (1000ft)
FIELD RESEARCH METHODS
Two samples of approximately 1-2 meters total length of woody debris, 5-35 mm diameter (total surface area 0.02-0.15 m2), were collected at each site, washed with a soft scrub brush over an 0.5 mm sieve and examined under a stereo microscope for any remaining invertebrates. Analysis showed that excluding the “handpicked” invertebrates did not materially affect the results.
All invertebrates were preserved in 70% ethanol with 5% glycerin. Samples were sorted and invertebrates were identified to order, except Chironomidae, Simulidae and non-insects.
Data were analyzed with the program PC-ORD (version 4 for Windows, MjM Software Design). Counts were converted to number per M2 of stick surface and log transformed. Simulids, which occurred in nearly all sites, were excluded from the analysis because their strong seasonality distorted the ordination results. Other infrequent groups were also omitted.
Specific conductance (SC, values in microsiemens (S)) and pH were measured in the field using Thermo-Orion electronic meters .
Sample Site pH SC%
devel.
Sim
ulida
Chironom
Coleopte
Trichopt
Plecopte
Ephem
ero
Megalopt
Odonata
Crustace
Gastropo
Worm
s
Diptera
BABS4A RSC028 4.2 65 27 87 5623 66 4930 107 43 91 101 0 0 50 246BABP4A RSC021 5.1 56 23 24 7849 239 4582 88 75 72 8 0 0 46 44BABH4A AN0640A 4.4 78 26 0 6899 1128 3410 53 26 23 49 0 0 21 6BABCOF AN0640A 4.1 71 26 0 2233 406 3140 5 48 0 0 0 0 25 0BABP4N RSC021 4.1 90 23 118 3517 45 2085 197 32 35 0 0 0 0 138BABJP4 RSC023 4.2 82 23 379 4241 32 1326 721 54 11 15 0 0 568 0BABHL4 AN0640A 4.1 78 26 178 4129 255 1282 1022 0 0 0 8 0 95 0BABCOS AN0640A 4.0 81 26 139 2322 810 764 43 0 0 0 25 0 54 0BABH5S AN0640A 6.1 118 26 26 1098 0 493 9 0 18 0 0 0 34 7ADAMSF RSC020 6.4 65 71 0 324 0 178 0 0 0 0 0 6 29 0ADAM4A RSC020 6.6 56 71 0 1479 0 171 0 28 0 0 0 33 527 44JPBAB4 RSC022 5.7 62 24 0 2313 283 99 65 8 18 0 8 0 501 14ADAM4N RSC020 6.2 76 71 0 56 0 28 0 14 0 0 0 0 110 0JPLP4 RSC027 5.7 78 25 0 400 19 12 0 0 11 0 0 7 254 0MNKH5S RSC026 6.1 606 23 51 406 0 10 20 0 0 0 0 0 71 0ADAM4 RSC020 6.1 76 71 3 295 16 3 0 3 3 0 0 64 627 13MANKH4 RSC026 5.1 217 23 35 1727 9 0 0 0 152 9 44 0 858 0JPLP5S RSC027 7.3 103 25 126 113 0 0 0 0 0 0 0 0 0 0ADAMSS RSC020 6.3 71 71 19 537 0 0 0 0 0 0 0 18 850 0ADAM5S RSC020 7.1 900 71 0 0 0 0 0 0 0 0 0 0 86 0
Average number per meter square of stick surface
Table 2. Chemical characteristics, % development (in entire watershed) and major invertebrate taxa for sample sites in the Babcock Creek watershed 2003-2005. Samples are listed by total number of Trichoptera, from greatest to least
Trichoptera on woody debris: left, Hydropsyche and Chimarra, right, probably Brachycentrus or Micrasema
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4A
BABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
pH
SC
%Dev1000
DCA BAB avg no hand log no simul
Axis 1
Axi
s 2
Figure 2. Detrended Correspondence Analysis: biplot of averaged macroinvertebrate data vs. environmental variables (pH, % development in 1000’ buffer and specific conductance). Axis 1 correlates to pH and % development; axis 2 correlates (weakly) to SC. Note that Babcock Creek and Adams Branch form distinct clusters in the DCA ordination space.
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4ABABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA BAB avg no hand log no simul
Axis 1
Axi
s 2
15
25
35
45
55%Dev1000
Axis 1r = .826 tau = .592
Axis 2r = .208 tau = .178
15 25 35 45 55
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4ABABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA BAB avg no hand log no simul
Axis 1
Axi
s 2
4.0
5.0
6.0
7.0pH
Axis 1r = .849 tau = .596
Axis 2r = .216 tau = .069
4.0 5.0 6.0 7.0
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4ABABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA BAB avg no hand log no simul
Axis 1
Axi
s 2
56
900SC
Axis 1r = .370 tau = .042
Axis 2r = .486 tau = .339
56 900
Figure 3. DCA scores for averaged data vs. PH, % developed within 1000’ and specific conductance (SC). The size of each triangle is proportional to the value for the variable being plotted.
Figure 4. DCA for a larger set of unaveraged samples in the entire GEHR watershed, showing the same variables plotted against the first two axes. The pattern seen in the Babcock watershed is evident here, although weaker
FOURS1
FOURS2FOURS3
HOSPLS1
HOSPLS2
HOSPLS3HOSPUS1HOSPUS2
HOSPUS3
PENNYS1
PENNYS2
PENNYS3
SQUANKS1
SQUANKS2
SQUANKS3
SQUANKS4
WHITES1WHITES2WHITES3
ADAMSS1
ADAMSS2
ADAMSS3
BABCOS1BABCOS2BABCOS3BABCOS4
DEEPLS1
DEEPLS2DEEPLS3
DEEPUS1
DEEPUS2DEEPUS3
GREATES1
GREATES2GREATES3
MARES1
MARES2
MARES3
DEEPLF1DEEPLF2
DEEPUF1
DEEPUF2
MAREF1MAREF2 ADAMSF1
ADAMSF2
BABCOF1
BABCOF2
WHITEF1
WHITEF2
ADAM41
ADAM42
BABHL41BABHL42BABJ P41BABJ P42
J PBAB41
J PBAB42
J PLP41
J PLP42
MANKH41
MANKH42
WHITE41
WHITE42
ADAM4A1
ADAM4A2BABH4A1
BABH4A2
BABP4A1
BABP4A2
BABS4A1
BABS4A2 WHIT4A1
WHIT4A2
ADAM4N1
ADAM4N2
BABP4N1
BABP4N2
ADAM5S1ADAM5S2
BABH5S1BABH5S2
J PLP5S2
MNKH5S1
MNKH5S2
DCA no handpick log no simul
Axis 1
Axi
s 2
0
20
40
60
80develop
Axis 1r = .599 tau = .323
Axis 2r = -.023 tau = -.073
0 20 40 60 80
FOURS1
FOURS2FOURS3
HOSPLS1
HOSPLS2
HOSPLS3HOSPUS1HOSPUS2
HOSPUS3
PENNYS1
PENNYS2
PENNYS3
SQUANKS1
SQUANKS2
SQUANKS3
SQUANKS4
WHITES1WHITES2WHITES3
ADAMSS1
ADAMSS2
ADAMSS3
BABCOS1BABCOS2BABCOS3BABCOS4
DEEPLS1
DEEPLS2DEEPLS3
DEEPUS1
DEEPUS2DEEPUS3
GREATES1
GREATES2GREATES3
MARES1
MARES2
MARES3
DEEPLF1DEEPLF2DEEPUF1
DEEPUF2
MAREF1MAREF2 ADAMSF1
ADAMSF2
BABCOF1
BABCOF2
WHITEF1
WHITEF2
ADAM41
ADAM42
BABHL41BABHL42BABJ P41BABJ P42
J PBAB41
J PBAB42
J PLP41
J PLP42
MANKH41
MANKH42
WHITE41
WHITE42
ADAM4A1
ADAM4A2BABH4A1
BABH4A2BABP4A1
BABP4A2
BABS4A1
BABS4A2 WHIT4A1
WHIT4A2
ADAM4N1
ADAM4N2
BABP4N1
BABP4N2
ADAM5S1ADAM5S2
BABH5S1BABH5S2
J PLP5S2
MNKH5S1
MNKH5S2
DCA no handpick log no simul
Axis 1A
xis
2
3.5
4.5
5.5
6.5
7.5pH
Axis 1r = .535 tau = .318
Axis 2r = .101 tau = -.005
3.5 4.5 5.5 6.5 7.5
FOURS1
FOURS2FOURS3
HOSPLS1
HOSPLS2
HOSPLS3HOSPUS1HOSPUS2
HOSPUS3
PENNYS1
PENNYS2
PENNYS3
SQUANKS1
SQUANKS2
SQUANKS3
SQUANKS4
WHITES1WHITES2WHITES3
ADAMSS1
ADAMSS2
ADAMSS3
BABCOS1BABCOS2BABCOS3BABCOS4
DEEPLS1
DEEPLS2DEEPLS3
DEEPUS1
DEEPUS2DEEPUS3
GREATES1
GREATES2GREATES3
MARES1
MARES2
MARES3
DEEPLF1DEEPLF2
DEEPUF1
DEEPUF2
MAREF1MAREF2
ADAMSF1
ADAMSF2
BABCOF1
BABCOF2
WHITEF1
WHITEF2
ADAM41
ADAM42BABHL41BABHL42BABJ P41BABJ P42
J PBAB41
J PBAB42
J PLP41
J PLP42
MANKH41
MANKH42
WHITE41
WHITE42
ADAM4A1
ADAM4A2BABH4A1
BABH4A2
BABP4A1
BABP4A2
BABS4A1
BABS4A2 WHIT4A1
WHIT4A2
ADAM4N1
ADAM4N2
BABP4N1
BABP4N2
ADAM5S1ADAM5S2
BABH5S1BABH5S2
J PLP5S2
MNKH5S1
MNKH5S2
DCA no handpick log no simul
Axis 1
Axi
s 2
25
900SC
Axis 1r = .474 tau = .288
Axis 2r = .334 tau = .207
25 900
FOURS1
FOURS2FOURS3
HOSPLS1
HOSPLS2
HOSPLS3 HOSPUS1HOSPUS2
HOSPUS3
PENNYS1
PENNYS2
PENNYS3
SQUANKS1
SQUANKS2
SQUANKS3
SQUANKS4
WHITES1WHITES2WHITES3
ADAMSS1
ADAMSS2
ADAMSS3
BABCOS1BABCOS2BABCOS3
BABCOS4
DEEPLS1
DEEPLS2
DEEPLS3
DEEPUS1
DEEPUS2DEEPUS3
GREATES1
GREATES2GREATES3
MARES1
MARES2
MARES3
DEEPLF1DEEPLF2
DEEPUF1
DEEPUF2
MAREF1
MAREF2ADAMSF1
ADAMSF2
BABCOF1
BABCOF2
WHITEF1
WHITEF2
ADAM41
ADAM42
BABHL41BABHL42BABJ P41BABJ P42
J PBAB41
J PBAB42
J PLP41
J PLP42
MANKH41
MANKH42
WHITE41
WHITE42
ADAM4A1
ADAM4A2BABH4A1
BABH4A2
BABP4A1
BABP4A2
BABS4A1
BABS4A2 WHIT4A1
WHIT4A2
ADAM4N1
ADAM4N2
BABP4N1
BABP4N2
ADAM5S1ADAM5S2
BABH5S1
BABH5S2
J PLP5S2
MNKH5S1
MNKH5S2
pH
SC
develop
DCA no handpick log no simul
Axis 1
Axis
2
Figure 5. Biplot of DCA ordination vs. pH, % development in entire watershed and SC of the full dataset of 85 samples from the GEHR watershed. The pattern seen in the averaged results from the Babcock watershed alone is also apparent here. Compare figure 2.
ADAMSS1
ADAMSS2
ADAMSS3
BABCOS1
BABCOS2
BABCOS3
BABCOS4
ADAMSF1
ADAMSF2
BABCOF1BABCOF2
ADAM41
ADAM42
BABHL41
BABHL42
BABJ P41
BABJ P42
J PBAB41
J PBAB42
J PLP41
J PLP42
MANKH41
MANKH42
ADAM4A1ADAM4A2
BABH4A1
BABH4A2
BABP4A1BABP4A2
BABS4A1
BABS4A2
ADAM4N1
ADAM4N2BABP4N1
BABP4N2
ADAM5S1ADAM5S2
BABH5S1
BABH5S2
J PLP5S2
MNKH5S1
MNKH5S2
NMS BAB no handpick log no simul
Axis 1A
xis
2
4.0
5.0
6.0
7.0pH
Axis 1r = -.834 tau = -.557
Axis 2r = .129 tau = .039
4.0 5.0 6.0 7.0
Figure 6. Nonmetric Multidimensional Scaling (NMS) ordination of unaveraged Babcock watershed samples, plotted vs. pH to show that similar results are also obtained with this technique.
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4A
BABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA no handpick log no simul
Axis 1
Axi
s 2
0.0
1.0
2.0
3.0
4.0Trichopt
Axis 1r = -.796 tau = -.663
Axis 2r = -.628 tau = -.492
0.0 1.0 2.0 3.0 4.0
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4A
BABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA no handpick log no simul
Axis 1
Axi
s 2
0.0
0.5
1.0
1.5
2.0Ephemero
Axis 1r = -.515 tau = -.416
Axis 2r = -.774 tau = -.560
0.0 0.5 1.0 1.5 2.0
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4A
BABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA no handpick log no simul
Axis 1
Axi
s 2
0.0
1.0
2.0
3.0
4.0Chironom
Axis 1r = -.787 tau = -.758
Axis 2r = -.452 tau = -.221
0.0 1.0 2.0 3.0 4.0
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4ABABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA no handpick log no simul
Axis 1
Axi
s 2
0.0
0.5
1.0
1.5
2.0Gastropo
Axis 1r = .614 tau = .496
Axis 2r = -.139 tau = -.055
0.0 0.5 1.0 1.5 2.0
ADAM4
ADAM4A
ADAM4N
ADAM5S
ADAMSF
ADAMSS
BABCOF
BABCOS
BABH4ABABH5S
BABHL4
BABJ P4
BABP4A
BABP4N
BABS4A
J PBAB4
J PLP4
J PLP5S
MANKH4
MNKH5S
DCA no handpick log no simul
Axis 1
Axi
s 2
0.0
1.0
2.0
3.0Plecopte
Axis 1r = -.819 tau = -.666
Axis 2r = -.252 tau = -.234
0.0 1.0 2.0 3.0
Figure 7. DCA ordination of averaged Babcock watershed samples, plotted vs. abundance of selected macroinvertebrate taxa. Note the similar pattern for Ephemeroptera, Plecoptera and Trichoptera (EPT). Chironomidae are abundant in nearly all samples, including the least disturbed sites, while snails are found only in the most altered streams.
DiscussionThis study reinforces our view that the fauna of woody debris is a good indicator of habitat conditions in low-gradient, blackwater streams in the New Jersey Pine Barrens. Snags and sticks are key habitats and contribute significantly to diversity and productivity in Coastal Plain rivers and streams (Benke et al. 1984, Benke and Jacobi. 1994, Smock et al. 1985, Smock and Roeding 1986). The multivariate community analysis clearly separates the least disturbed sites from those that have been impacted by development. This is an improvement over the 1999-2000 NJDEP AMNET biomonitoring scores (NJDEP 2003), which rated the two sites sampled in the Babcock Creek watershed as moderately impaired, with Babcock Creek rated below Jack Pudding Branch. This seems to have resulted from using a composite scoring system that does not take into account the trophic peculiarities of low-gradient streams, especially the great role played by filter-feeders (see Smock and Roeding 1986, Meyer 1990) . The NJ DEP is currently revising its AMNET assessment protocols for Coastal Plain streams.Almost all Babcock Creek sites are richer in Ephemeroptera, Plecoptera and Trichoptera than the more developed and chemically altered tributaries (Table 2). In general, DCA and NMS axis one corresponds to the pH differences among sites with more or less disturbed land in the watershed. Frequent flash flooding, which washes out much woody debris and scours the rest with sand, as well as chemical alteration, causes the extreme impoverishment of Adams Branch. Mankiller Branch is apparently affected by high specific conductance, possibly from road salt. More samples are needed to confirm this. More sampling is also needed at the confluences of the tributaries with the main stem to understand the recovery of the fauna (for example, at the downstream end of Jack Pudding Branch, Table 2).Although separation of samples into orders and families gives results consistent with observed alterations of the chemistry and hydrology, we still need to determine why the fauna responds to chemical changes as it does. Analyzing which genera are affected may clarify the reasons for the different responses of the macroinvertebrates in each tributary. We plan to collect more samples at all eight sites in late summer or fall 2005, and then to focus on one site per tributary for future monitoring. Babcock Creek at Spruce Street or Holly Street may be the best reference site.
Literature Cited
Benke, A., Van Arsdall, T., Gillespie, D. and F. Parrish. 1984. Invertebrate productivity in a subtropical blackwater river: the importance of habitat and life history. Ecological Monographs 54: 25-63.
Benke, A. and D. Jacobi. 1994. Production dynamics and resource utilization of snag-dwelling mayflies in a blackwater river. Ecology 75: 1219-1232.
McCune, B. and M. Mefford. 1999. PC-ORD. Mulitvariate Analysis of Ecological Data, Version 4. MjM Software Design, Glenden Beach OR. 237 pp Meyer, J. 1990. A blackwater perspective on riverine ecosystems. Bioscience 40: 641-651.
Meyer, J. 1990. A blackwater perspective on riverine ecosystems. Bioscience 40: 641-651.
New Jersey Department of Environmental Protection, Water Monitoring and Standards Water Assessment Team. 2003. Integrated Water Quality Monitoring and Assessment Methods Document. Draft. NJDEP. http://www.state.nj.us/dep/wmm/sgwqt/wat/integratedlist/integratedlist2004.pdf
Smock, L. and C. Roeding. 1986. The trophic basis of production...of a southeastern U.S.A. blackwater stream. Holarctic Ecology 9: 165-174.
Smock, L. A., E. Gilinsky, and D. L. Stoneburner. 1985. Macroinvertebrate production in a Southeastern United States blackwater stream. Ecology 66:1491–1503.
Zampella, Robert A., John F. Bunnell, Kim J. Laidig, and Charles L. Dow. 2001. The Mullica River Basin: A Report To The Pinelands Commission On The Status Of The Landscape And Selected Aquatic And Wetland Resources. NJ Pinelands Commission. New Lisbon NJ. 371 pp.
Zampella, Robert A., John F. Bunnell, Kim J. Laidig, and Nicholas Procopio. 2003. The Rancocas Creek Basin: A Report To The Pinelands Commission On The Status Of Selected Aquatic And Wetland Resources. NJ Pinelands Commission. New Lisbon NJ. 130 pp.
Acknowledgements
It is a pleasure to acknowledge the assistance of many individuals, including Fred Akers, Administrator, Great Egg Harbor Watershed Association; Robert Zampella, John Bunnell, Kim Laidig and Nick Procopio of the NJ Pinelands Commission; Tait Chirenje, Rudi Arndt, Lynn Maun, Tamica Johnson, Bob Fromtling, Jason Gliddon, James Grimes and David Monzo, Division of Natural Sciences and Mathematics The Richard Stockton College of New Jersey.
This project received financial support from the NJ Water Resources Research Institute, The Atlantic County Office of Regional Planning and Economic Development, the NJ Department of Environmental Protection Division of Watershed Management and the Richard Stockton College of NJ Research and Professional Development Fund.
Further information on the web at: http://www.stockton.edu/~cromartw/GEHR/GEHRhomepage.htmContact: Jamie CromartieNAMS, Richard Stockton College, PO Box 195Pomona NJ 08240 USA<[email protected]>