W H Y S H I P S L? Issues On How Stream Health Is Gauged
|
|
|
- Toby Jennings
- 5 years ago
- Views:
Transcription
1 W H Y S H I P S L? Issues On How Stream Health Is Gauged Grace Chiu, Peter Guttorp NSERC Postdoctoral Fellow, Statistics, U of Washington Chair and Professor, Statistics, U of Washington June 30, 2004 WNAR 2004, Page 1
2 Outline: 1. photos of impacted Puget Sound Lowland streams WNAR 2004, Page 2
3 Outline: 1. photos of impacted Puget Sound Lowland streams 2. biomonitoring and the IBI WNAR 2004, Page 2
4 Outline: 1. photos of impacted Puget Sound Lowland streams 2. biomonitoring and the IBI 3. statistician s take: perhaps something more universally intuitive and practical? WNAR 2004, Page 2
5 Outline: 1. photos of impacted Puget Sound Lowland streams 2. biomonitoring and the IBI 3. statistician s take: perhaps something more universally intuitive and practical? Revamping the IBI definition SHIPSL WNAR 2004, Page 2
6 Outline: 1. photos of impacted Puget Sound Lowland streams 2. biomonitoring and the IBI 3. statistician s take: perhaps something more universally intuitive and practical? Revamping the IBI definition SHIPSL 4. bootstrap analyses and insight WNAR 2004, Page 2
7 Outline: 1. photos of impacted Puget Sound Lowland streams 2. biomonitoring and the IBI 3. statistician s take: perhaps something more universally intuitive and practical? Revamping the IBI definition SHIPSL 4. bootstrap analyses and insight 5. unresolved issues WNAR 2004, Page 2
8 Two Puget Sound Lowland Streams WNAR 2004, Page 3
9 Two Puget Sound Lowland Streams WNAR 2004, Page 3
10 Two Puget Sound Lowland Streams WNAR 2004, Page 3
11 Which Stream Is Healthier?? WNAR 2004, Page 4
12 Which Stream Is Healthier?? Check bugs... WNAR 2004, Page 4
13 Which Stream Is Healthier?? Check bugs... WNAR 2004, Page 4
14 Which Stream Is Healthier?? Check bugs... Rock Creek Juanita Creek WNAR 2004, Page 4
15 Which Stream Is Healthier?? Check bugs... Rock Creek Juanita Creek benthic invertebrate diversity and abundance = function of stream health (biotic integrity) WNAR 2004, Page 4
16 Which Stream Is Healthier?? Check bugs... Rock Creek Juanita Creek benthic invertebrate diversity and abundance = function of stream health (biotic integrity) Benthic Index of Biotic Integrity (B-IBI) WNAR 2004, Page 4
17 Biomonitoring WNAR 2004, Page 5
18 Biomonitoring track impact of human activities on ecological systems WNAR 2004, Page 5
19 Biomonitoring track impact of human activities on ecological systems B-IBI used as a report card measure WNAR 2004, Page 5
20 Biomonitoring track impact of human activities on ecological systems B-IBI used as a report card measure compare report cards over time and/or over space WNAR 2004, Page 5
21 History of IBI Karr (1981): idea of multimetric index fish as indicators of stream health Midwestern U.S. freshwater systems Karr et al. (1986): fully developed original (Fish-) IBI Kerans & Karr (1994): Benthic-IBI 13 metrics for Tennessee Valley rivers Karr (1998): B-IBI for PSL streams (10 metrics) Others: US EPA, Env. Canada, France, Mexico, etc. localized versions of IBI sometimes non-water dwellers as indicators WNAR 2004, Page 6
22 Main Idea of the -IBI ( = B or FISH) WNAR 2004, Page 7
23 Main Idea of the -IBI ( = B or FISH) identify attributes / metrics which best reflect diversity / abundance WNAR 2004, Page 7
24 Main Idea of the -IBI ( = B or FISH) identify attributes / metrics which best reflect diversity / abundance e.g. total taxa, % 3 most dominant taxa, etc. WNAR 2004, Page 7
25 Main Idea of the -IBI ( = B or FISH) identify attributes / metrics which best reflect diversity / abundance e.g. total taxa, % 3 most dominant taxa, etc. metrics should be sensitive to impact of urbanization on environment WNAR 2004, Page 7
26 Main Idea of the -IBI ( = B or FISH) identify attributes / metrics which best reflect diversity / abundance e.g. total taxa, % 3 most dominant taxa, etc. metrics should be sensitive to impact of urbanization on environment combine identified metrics -IBI WNAR 2004, Page 7
27 Main Idea of the -IBI ( = B or FISH) identify attributes / metrics which best reflect diversity / abundance e.g. total taxa, % 3 most dominant taxa, etc. metrics should be sensitive to impact of urbanization on environment combine identified metrics -IBI Rating scheme for 10-metric PSL B-IBI: VERY POOR POOR FAIR GOOD EXCELLENT WNAR 2004, Page 7
28 Details: CHOOSING METRICS WNAR 2004, Page 8
29 Details: CHOOSING METRICS numerous issues on how to choose metrics WNAR 2004, Page 8
30 Details: CHOOSING METRICS numerous issues on how to choose metrics we shall not deal with them yet WNAR 2004, Page 8
31 Details: SCORING METRICS WNAR 2004, Page 9
32 Details: SCORING METRICS a statistical concept in disguise! WNAR 2004, Page 9
33 Details: SCORING METRICS a statistical concept in disguise! i.e. standardizing metric values measured on different scales across different streams WNAR 2004, Page 9
34 Metric Scoring Roadmap select reference sites (least impacted) for EACH metric: YES ranking associated with stream size? NO rank sites from worst to best health wrt metric adjust ranking for relationship trisect ranking ==> reference trisection metric of sampled site scored against reference trisection site s metric score is 1, 3, or 5 WNAR 2004, Page 10
35 Metric Scoring Roadmap select reference sites (least impacted) for EACH metric: YES ranking associated with stream size? NO rank sites from worst to best health wrt metric adjust ranking for relationship trisect ranking ==> reference trisection metric of sampled site scored against reference trisection site s metric score is 1, 3, or 5 WNAR 2004, Page 11
36 e.g. Metric = Total # Taxa WNAR 2004, Page 12
37 e.g. Metric = Total # Taxa (Reference Sites. From Karr et al ) WNAR 2004, Page 12
38 e.g. Metric = Total # Taxa graph includes repeated observations (Reference Sites. From Karr et al ) WNAR 2004, Page 12
39 e.g. Metric = Total # Taxa graph includes repeated observations trisection often by eye (Reference Sites. From Karr et al ) WNAR 2004, Page 12
40 e.g. Metric = Total # Taxa graph includes repeated observations trisection often by eye score sampled site s metric (AVERAGED OVER REPLICATES) against graph (Reference Sites. From Karr et al ) WNAR 2004, Page 12
41 e.g. Metric = Total # Taxa graph includes repeated observations trisection often by eye score sampled site s metric (AVERAGED OVER REPLICATES) against graph (Reference Sites. From Karr et al ) site s IBI = sum of its metric scores WNAR 2004, Page 12
42 Details: SCORING METRICS subjective / regionalized definition of reference sites arbitrary discrete scale, cutpoints very subjective continuous scale such as [0, 10] also involves cutpoint definitions requires recalibration # in presence of spatial or temporal changes # comparison across regions virtually impossible WNAR 2004, Page 13
43 Details: SCORING METRICS subjective / regionalized definition of reference sites arbitrary discrete scale, cutpoints very subjective continuous scale such as [0, 10] also involves cutpoint definitions requires recalibration # in presence of spatial or temporal changes # comparison across regions virtually impossible Scoring schemes for all versions of IBI have same basic structure. WNAR 2004, Page 13
44 Details: SCORING METRICS subjective / regionalized definition of reference sites arbitrary discrete scale, cutpoints very subjective continuous scale such as [0, 10] also involves cutpoint definitions requires recalibration # in presence of spatial or temporal changes # comparison across regions virtually impossible Scoring schemes for all versions of IBI have same basic structure. Q: Really use IBI to monitor stream health over time?? WNAR 2004, Page 13
45 Stream Health Index for the Puget Sound Lowland WNAR 2004, Page 14
46 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) WNAR 2004, Page 14
47 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality WNAR 2004, Page 14
48 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality it is non-subjective yields stronger scientific conclusions and more policy-neutral WNAR 2004, Page 14
49 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality it is non-subjective yields stronger scientific conclusions and more policy-neutral scale is more intuitive WNAR 2004, Page 14
50 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality it is non-subjective yields stronger scientific conclusions and more policy-neutral scale is more intuitive drastically reduces time (a.k.a. $) required to choose reference sites, (re)calibrate metric scoring mechanism, etc. can be easily localized to other regions WNAR 2004, Page 14
51 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality it is non-subjective yields stronger scientific conclusions and more policy-neutral scale is more intuitive drastically reduces time (a.k.a. $) required to choose reference sites, (re)calibrate metric scoring mechanism, etc. can be easily localized to other regions measures biotic integrity more precisely WNAR 2004, Page 14
52 Stream Health Index for the Puget Sound Lowland a need for universal protocol for defining and gauging health (currently non-existent) SHIPSL is our attempt towards universality it is non-subjective yields stronger scientific conclusions and more policy-neutral scale is more intuitive drastically reduces time (a.k.a. $) required to choose reference sites, (re)calibrate metric scoring mechanism, etc. can be easily localized to other regions measures biotic integrity more precisely SHIPSL achieves all of the above WITHOUT adding any technical requirement to conventional biomonitoring!! WNAR 2004, Page 14
53 SHIPSL employs a statistically sound metric scoring mechanism not affected by spatial / temporal changes WNAR 2004, Page 15
54 SHIPSL employs a statistically sound metric scoring mechanism not affected by spatial / temporal changes SIMPLE STANDARDIZATION! WNAR 2004, Page 15
55 SHIPSL employs a statistically sound metric scoring mechanism not affected by spatial / temporal changes SIMPLE STANDARDIZATION! score = metric value@ metric adjusted for stream size (regression), if necessary WNAR 2004, Page 15
56 SHIPSL employs a statistically sound metric scoring mechanism not affected by spatial / temporal changes SIMPLE STANDARDIZATION! score = metric value@ metric adjusted for stream size (regression), if necessary SHIPSL = sum of all scores WNAR 2004, Page 15
57 SHIPSL employs a statistically sound metric scoring mechanism not affected by spatial / temporal changes SIMPLE STANDARDIZATION! score = metric value@ metric adjusted for stream size (regression), if necessary SHIPSL = sum of all scores continuous scale centered at 0 reference sites unnecessary (as long as least- and most-impacted sites are present in the study) non-subjective and requires no recalibration WNAR 2004, Page 15
58 SHIPSL Q: How to monitor single site over time without reference sites?? WNAR 2004, Page 16
59 SHIPSL Q: How to monitor single site over time without reference sites?? A1: use sites from previous studies as reference WNAR 2004, Page 16
60 SHIPSL Q: How to monitor single site over time without reference sites?? A1: use sites from previous studies as reference A2: if available, use historical data observed when the best sites were still pristine WNAR 2004, Page 16
61 SHIPSL Q: How to monitor single site over time without reference sites?? A1: use sites from previous studies as reference A2: if available, use historical data observed when the best sites were still pristine A3: define gold standard values for each metric mean and metric SD in the scoring formula WNAR 2004, Page 16
62 SHIPSL Q: How to monitor single site over time without reference sites?? A1: use sites from previous studies as reference A2: if available, use historical data observed when the best sites were still pristine A3: define gold standard values for each metric mean and metric SD in the scoring formula one step closer towards cross-spatio-temporal comparisons WNAR 2004, Page 16
63 SHIPSL vs B-IBI: Case Study 1997 & 1998 data, taken from Morley (2000) study region: Puget Sound Lowland (PSL) 16 watersheds (> 16 sites), 3 replicates per site scoring criteria calibrated for WNAR 2004, Page 17
64 SHIPSL vs B-IBI: Case Study 1997 & 1998 data, taken from Morley (2000) study region: Puget Sound Lowland (PSL) 16 watersheds (> 16 sites), 3 replicates per site scoring criteria calibrated for metric ) total taxa [0,14) [14,28) ) % dominance >75 (55,75] [0,55].. 10) % predators [0,4.5) [4.5,9) 9 WNAR 2004, Page 17
65 SHIPSL vs B-IBI: Case Study 1997 & 1998 data, taken from Morley (2000) study region: Puget Sound Lowland (PSL) 16 watersheds (> 16 sites), 3 replicates per site scoring criteria calibrated for metric ) total taxa [0,14) [14,28) ) % dominance >75 (55,75] [0,55].. 10) % predators [0,4.5) [4.5,9) most recent calibration due to change in taxonomic identification rules WNAR 2004, Page 17
66 SHIPSL vs B-IBI: Case Study 1997 & 1998 data, taken from Morley (2000) study region: Puget Sound Lowland (PSL) 16 watersheds (> 16 sites), 3 replicates per site scoring criteria calibrated for metric ) total taxa [0,14) [14,28) ) % dominance >75 (55,75] [0,55].. 10) % predators [0,4.5) [4.5,9) most recent calibration due to change in taxonomic identification rules WNAR 2004, Page 17
67 SHIPSL vs B-IBI: Case Study metric value = average over replicates except # long-lived taxa and # intolerant taxa for B-IBI: metric value = pooled over replicates (i.e. value for supersample) measure of human influence: % urbanized area WNAR 2004, Page 18
68 SHIPSL vs B-IBI: Case Study 1997 B IBI Frequency WNAR 2004, Page 19
69 SHIPSL vs B-IBI: Case Study 1997 B IBI corr = Frequency SHIPSL B IBI 1997 SHIPSL Frequency WNAR 2004, Page 20
70 SHIPSL vs B-IBI: Case Study 1997 B IBI corr = Frequency SHIPSL B IBI 1997 SHIPSL SHIPSL retains general dist n shape Frequency highly correlated with B-IBI continuous scale no tied sites WNAR 2004, Page 20
71 SHIPSL vs B-IBI: Case Study 1998 B IBI corr = Frequency SHIPSL B IBI 1998 SHIPSL Frequency WNAR 2004, Page 21
72 SHIPSL vs B-IBI: Case Study 1998 B IBI corr = Frequency SHIPSL B IBI 1998 SHIPSL Frequency O gap SHIPSL gives clearer distinction of healthy sites?? WNAR 2004, Page 21
73 SHIPSL vs B-IBI: Case Study : BIBI % urban WNAR 2004, Page 22
74 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) % urban WNAR 2004, Page 23
75 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) : BIBI % urban % urban WNAR 2004, Page 24
76 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) 1998 : BIBI / o: SHIPSL (rescaled) % urban % urban WNAR 2004, Page 25
77 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) 1998 : BIBI / o: SHIPSL (rescaled) % urban % urban SHIPSL indicates smaller disparity among mid-ranked sites WNAR 2004, Page 25
78 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) 1998 : BIBI / o: SHIPSL (rescaled) % urban % urban SHIPSL indicates smaller disparity among mid-ranked sites SHIPSL missed REAL disparity? WNAR 2004, Page 25
79 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) 1998 : BIBI / o: SHIPSL (rescaled) % urban % urban SHIPSL indicates smaller disparity among mid-ranked sites SHIPSL missed REAL disparity? or... WNAR 2004, Page 25
80 SHIPSL vs B-IBI: Case Study 1997 : BIBI / o: SHIPSL (rescaled) 1998 : BIBI / o: SHIPSL (rescaled) % urban % urban SHIPSL indicates smaller disparity among mid-ranked sites SHIPSL missed REAL disparity? or... B-IBI too variable?? WNAR 2004, Page 25
81 A Bootstrap Study WNAR 2004, Page 26
82 A Bootstrap Study GOAL: Compare accuracy and precision between B-IBI and SHIPSL (ordinary and gold standard) WNAR 2004, Page 26
83 A Bootstrap Study GOAL: Compare accuracy and precision between B-IBI and SHIPSL (ordinary and gold standard) METHOD: resample organisms from (observed) field samples (a la Fore et al. (1994)) WNAR 2004, Page 26
84 A Bootstrap Study GOAL: Compare accuracy and precision between B-IBI and SHIPSL (ordinary and gold standard) METHOD: resample organisms from (observed) field samples (a la Fore et al. (1994)) obtain 10,000 bootstrap samples WNAR 2004, Page 26
85 A Bootstrap Study GOAL: Compare accuracy and precision between B-IBI and SHIPSL (ordinary and gold standard) METHOD: resample organisms from (observed) field samples (a la Fore et al. (1994)) obtain 10,000 bootstrap samples DATA: Morley s 1997 data WNAR 2004, Page 26
86 A Bootstrap Study OBSERVED TAXON TAXON REP 1 REP 2 REP 3 SITE ID ATTRIBUTES COUNT COUNT COUNT TOTAL TOTAL WNAR 2004, Page 27
87 A Bootstrap Study OBSERVED TAXON TAXON REP 1 REP 2 REP 3 SITE ID ATTRIBUTES COUNT COUNT COUNT TOTAL TOTAL WNAR 2004, Page 27
88 A Bootstrap Study OBSERVED TAXON TAXON REP 1 REP 2 REP 3 SITE ID ATTRIBUTES COUNT COUNT COUNT TOTAL TOTAL TAXON ID BOOTSTRAP REP 2 COUNT TOTAL 2321 WNAR 2004, Page 27
89 A Bootstrap Study OBSERVED TAXON TAXON REP 1 REP 2 REP 3 SITE ID ATTRIBUTES COUNT COUNT COUNT TOTAL TOTAL Limitations: TAXON ID BOOTSTRAP REP 2 COUNT TOTAL 2321 WNAR 2004, Page 27
90 A Bootstrap Study OBSERVED TAXON TAXON REP 1 REP 2 REP 3 SITE ID ATTRIBUTES COUNT COUNT COUNT TOTAL TOTAL Limitations: TAXON ID BOOTSTRAP REP 2 COUNT observed 0 s 1 0 <===== like a structural 0 always produce 2 17 bootstrap 0 s TOTAL 2321 WNAR 2004, Page 27
91 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases WNAR 2004, Page 28
92 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) WNAR 2004, Page 28
93 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) bootstrap variability of metric artificially small WNAR 2004, Page 28
94 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) bootstrap variability of metric artificially small true SD( B-IBI ) and SD( GS-SHIPSL ) greatly underestimated WNAR 2004, Page 28
95 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) bootstrap variability of metric artificially small true SD( B-IBI ) and SD( GS-SHIPSL ) greatly underestimated possible remedies: WNAR 2004, Page 28
96 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) bootstrap variability of metric artificially small true SD( B-IBI ) and SD( GS-SHIPSL ) greatly underestimated possible remedies: bias correction for all 7 count-valued metrics WNAR 2004, Page 28
97 A Bootstrap Study: PROBLEMS WITH 0 / LOW COUNTS count-valued metrics have severe negative biases Bias( sample mean ) hugely negative for B-IBI and GS-SHIPSL (no such bias for ordinary SHIPSL by definition) bootstrap variability of metric artificially small true SD( B-IBI ) and SD( GS-SHIPSL ) greatly underestimated possible remedies: bias correction for all 7 count-valued metrics percentage richness for all 7 except total # taxa: % clinger richness = # clinger taxa total # taxa WNAR 2004, Page 28
98 A Bootstrap Study: METRIC BIAS CORRECTION i.e. for each set of 18 bootstrapped metric values: coerce mean to be observed mean then stretch SD by factor of observed sample SD mean of 10,000 bootstrap SD s WNAR 2004, Page 29
99 A Bootstrap Study: METRIC BIAS CORRECTION Sample Mean Sample SD GS SHIPSL (solid=before, dashed=after) SHIPSL (black) GS SHIPSL (gold) B IBI B IBI WNAR 2004, Page 30
100 A Bootstrap Study: METRIC BIAS CORRECTION Intrinsic variability: bootstrap SD adjusted for bias and scale difference WNAR 2004, Page 31
101 A Bootstrap Study: METRIC BIAS CORRECTION Intrinsic variability: bootstrap SD adjusted for bias and scale difference GS SHIPSL SHIPSL B IBI rescaled bootstrap SD WNAR 2004, Page 31
102 A Bootstrap Study: PERCENTAGE RICHNESS used in GS-/SHIPSL only (no knowledge of how to calibrate % richness for IBI!) WNAR 2004, Page 32
103 A Bootstrap Study: PERCENTAGE RICHNESS used in GS-/SHIPSL only (no knowledge of how to calibrate % richness for IBI!) improves correlation between metric and urbanization (highly desirable) WNAR 2004, Page 32
104 A Bootstrap Study: PERCENTAGE RICHNESS used in GS-/SHIPSL only (no knowledge of how to calibrate % richness for IBI!) improves correlation between metric and urbanization (highly desirable) severe negative biases remain (highly undesirable) WNAR 2004, Page 32
105 A Bootstrap Study: PERCENTAGE RICHNESS used in GS-/SHIPSL only (no knowledge of how to calibrate % richness for IBI!) improves correlation between metric and urbanization (highly desirable) severe negative biases remain (highly undesirable) Low-abundance metrics are culpable!! WNAR 2004, Page 32
106 A Bootstrap Study: LOW-ABUNDANCE METRICS Plot metric bias vs. health (observed SHIPSL value): WNAR 2004, Page 33
107 A Bootstrap Study: LOW-ABUNDANCE METRICS Plot metric bias vs. health (observed SHIPSL value): 2 0 a b #Tx 2 0 ab %LLTx %IntolTx %ClingTx ab a b WNAR 2004, Page 33
108 A Bootstrap Study: HIGH-ABUNDANCE METRICS Plot metric bias vs. health (observed SHIPSL value): %EphTx %PleTx 0 5 b a b a a b %TriTx %Pred a b %Tol %Dom a b a b WNAR 2004, Page 34
109 A Bootstrap Study: LOW-ABUNDANCE METRICS irreproducibility of rare taxa (at least in bootstrap environment) WNAR 2004, Page 35
110 A Bootstrap Study: LOW-ABUNDANCE METRICS irreproducibility of rare taxa (at least in bootstrap environment) severe negative bias in #- or %-richness metrics also in GS-/SHIPSL WNAR 2004, Page 35
111 A Bootstrap Study: LOW-ABUNDANCE METRICS irreproducibility of rare taxa (at least in bootstrap environment) severe negative bias in #- or %-richness metrics also in GS-/SHIPSL negative correlation between health and metric bias also between health and GS-/SHIPSL WNAR 2004, Page 35
112 A Bootstrap Study: LOW-ABUNDANCE METRICS irreproducibility of rare taxa (at least in bootstrap environment) severe negative bias in #- or %-richness metrics also in GS-/SHIPSL negative correlation between health and metric bias also between health and GS-/SHIPSL removal of the 4 low-abundance metrics removes both bias-related problems WNAR 2004, Page 35
113 Insights recall: GS-/SHIPSL is intrinsically less variable than B-IBI WNAR 2004, Page 36
114 Insights recall: GS-/SHIPSL is intrinsically less variable than B-IBI GS-/SHIPSL is more powerful in detecting real difference in health WNAR 2004, Page 36
115 Insights recall: GS-/SHIPSL is intrinsically less variable than B-IBI GS-/SHIPSL is more powerful in detecting real difference in health both %-richness and gold standards are good ideas provided that: WNAR 2004, Page 36
116 Insights recall: GS-/SHIPSL is intrinsically less variable than B-IBI GS-/SHIPSL is more powerful in detecting real difference in health both %-richness and gold standards are good ideas provided that: metric bias correction is realistic (how to verify?) WNAR 2004, Page 36
117 Insights recall: GS-/SHIPSL is intrinsically less variable than B-IBI GS-/SHIPSL is more powerful in detecting real difference in health both %-richness and gold standards are good ideas provided that: metric bias correction is realistic (how to verify?) OR: low-abundance metrics do not affect reproducibility of true biological conditions (unlikely the case!) WNAR 2004, Page 36
118 Unresolved Issues still way far from universality WNAR 2004, Page 37
119 Unresolved Issues still way far from universality Who to decide on gold standards? Which metrics are universal? How to control for regional policy differences? field sampling protocols, laboratory technologies, taxonomic identification schemes, etc. WNAR 2004, Page 37
120 Unresolved Issues still way far from universality Who to decide on gold standards? Which metrics are universal? How to control for regional policy differences? field sampling protocols, laboratory technologies, taxonomic identification schemes, etc. irreproducibility of rare taxa is a practical sampling issue (not just in the artificial bootstrap environment) WNAR 2004, Page 37
121 Unresolved Issues still way far from universality Who to decide on gold standards? Which metrics are universal? How to control for regional policy differences? field sampling protocols, laboratory technologies, taxonomic identification schemes, etc. irreproducibility of rare taxa is a practical sampling issue (not just in the artificial bootstrap environment) conventional (count-) taxa richness metrics are statistically intractable any alternatives? WNAR 2004, Page 37
122 Farewell This presentation is downloadable from Based on two manuscripts: available upon request THANK YOU! WNAR 2004, Page 38
A Statistician s Take on the Benthic Index of Biotic Integrity
A Statistician s Take on the Benthic Index of Biotic Integrity Grace Chiu, Peter Guttorp PIMS Postdoctoral Fellow, Statistics & Actuarial Science, SFU, and Visiting Scholar, Statistics, U of Washington
Freshwater Bioassessment Tools for the Puget Sound Basin: Enhancing a Science- Based Performance Measure of Stream Condition
Freshwater Bioassessment Tools for the Puget Sound Basin: Enhancing a Science- Based Performance Measure of Stream Condition Deb Lester, Jo Wilhelm, Elene Dorfmeier King County Department of Natural Resources
Recalibration of the Puget Lowland B-IBI
Recalibration of the Puget Lowland B-IBI Joint Aquatic Sciences Meeting Portland, Oregon May 23, 214 Jo Wilhelm 1, Leska Fore 2, Bob Wisseman 3, Deb Lester 1, Gretchen Hayslip 4, Elene Dorfmeier 1 1 King
Appendix D3. Aquatic Resources. Tennessee Valley Authority Reservoir Operations Study Final Programmatic EIS
Tennessee Valley Authority Reservoir Operations Study Final Programmatic EIS This page intentionally left blank. D3.1 Fish Index of Biotic Integrity (Used in Tailwaters)... D3-1 D3.2 Benthic Index of Biotic
FRESHWATER STREAM INVERTEBRATES: RESPONSE TO WATER QUALITY IMPAIRMENT AND PHYSICAL HABITAT ALTERATION
Technical Paper #0508 FRESHWATER STREAM INVERTEBRATES: RESPONSE TO WATER QUALITY IMPAIRMENT AND PHYSICAL HABITAT ALTERATION Prepared by: Bill Isham Weston Solutions, Inc. (WESTON ) For Presentation at:
Assessments for designing fish habitat programs and restoration. Peter B Moyle Center for Watershed Sciences University of California, Davis
Assessments for designing fish habitat programs and restoration Peter B Moyle Center for Watershed Sciences University of California, Davis This talk Framing monitoring of aquatic systems in terms of reconciliation
The Development of New Fish Monitoring Methodology and Its Application for National Stream Health Assessments in Korea
The Development of New Fish Monitoring Methodology and Its Application for National Stream Health Assessments in Korea Kwang-Guk An 1, Jae-Kwan Lee 2, Myeong-Seop Byeon 2, and Soon Cho 3 (Fax:82-42-822-9690;
Further Development of a Physical Habitat Index. for Clallam County Streams
Further Development of a Physical Habitat Index for Clallam County Streams Mike McClean, Steve Obrebski, and Ed Chadd Port Angeles, WA July 2009 Introduction Modern concepts of stream ecology emphasize
Effectiveness of Benthic Indices of Biotic Integrity as Watershed Assessment Tools
Effectiveness of Benthic Indices of Biotic Integrity as Watershed Assessment Tools Caitlin Chaffee MESM Candidate Wetland, Watershed, and Ecosystem Science Presentation Outline Background Indices of Biotic
Follow this and additional works at:
University of Massachusetts Amherst ScholarWorks@UMass Amherst Water Resources Research Center Conferences Water Resources Research Center 4-9-2007 Evaluation of Impact of Land Use, Habitat, and Water
Macroinvertebrates: Using Bugs to Monitor Water Quality
Macroinvertebrates: Using Bugs to Monitor Water Quality Jeff Ostermiller Utah Division of Water Quality jostermiller@utah.gov Please contact Ben Holcomb (bholcomb@utah.gov) for future inquiries. Take Home
Further Development of a Physical Habitat Index. for Clallam County Streams
Further Development of a Physical Habitat Index for Clallam County Streams Mike McClean, Ed Chadd, and Steve Obrebski Clallam County Department of Community Development, July 2009 Introduction Modern concepts
DRAFT Introduction:
Introduction: Bay Area Macroinvertebrate Bioassessment Information Network San Francisco Bay Area Creeks Benthic Index of Biotic Integrity (IBI) Draft IBI Workplan v.4 The following describes a series
Maumee Area of Concern Water Quality Database Development
Maumee Area of Concern Water Quality Database Development Project Overview Background In 1987 the Maumee Area of Concern (AOC) in northwest Ohio was designated as an Area of Concern based on the identification
Benthic Invertebrate Biomonitoring Program for the Obed Mountain Mine
Submitted to: November, 2011 Prepared by: Pisces Environmental Consulting Services Ltd. 25J 37337 Burnt Lake Trail, Red Deer County, Alberta T4S 2K5 --this page left blank for printing purposes-- Table
Water Quality in the Rat River St.Malo Watershed:
Water Quality in the Rat River St.Malo Watershed: Current conditions, historical trends, and potential actions. September 8 th, 2010 Jennifer Stephens Water Quality Management Section Manitoba Water Stewardship
Analysis of Ephemeroptera, Plecoptera and Trichoptera (EPT) richness and diversity of Guilford Creek, Guilford, NY
Analysis of Ephemeroptera, Plecoptera and Trichoptera (EPT) richness and diversity of Guilford Creek, Guilford, NY Peter Hazelton 1 ABSTRACT Analysis of a single kick sample from a 2 nd order stream in
ASSESSMENTS FOR STORMWATER MONITORING AND MANAGEMENT
ASSESSMENTS FOR STORMWATER MONITORING AND MANAGEMENT Eric Stein Biology Departments Southern California Coastal Water Research Project (SCCWRP) Effects of Stormwater Runoff Stormwater Assessment is Complex
Macroinvertebrates as bioindicators
Macroinvertebrates as bioindicators Now that you have collected a standardized sample of the stream benthic community, we will now evaluate that sample to calculate an Index of Biotic Integrity (IBI).
Bioobjectives Scoring Tool: California Stream Condition Index (CSCI) Eric Stein Ken Schiff
Bioobjectives Scoring Tool: California Stream Condition Index (CSCI) Eric Stein Ken Schiff 1 Biological indicators are the best way to assess biological integrity Challenge is to use them consistently
Biotic Factors to Monitor Water Quality
Biotic Factors to Monitor Water Quality Parts of a Stream or River Riffles white water area usually with rock substrate protruding through the surface of the water Runs area in between white water, without
ASSESSMENT OF ECOLOGICAL CONDITION IN STREAMS OF THE CENTRAL PLAINS: Multimetric and Predictive Modeling Techniques
ASSESSMENT OF ECOLOGICAL CONDITION IN STREAMS OF THE CENTRAL PLAINS: Multimetric and Predictive Modeling Techniques R. William Bouchard Jr. & Donald G. Huggins Central Plains Center for BioAssessment,
John Vile, MS Water Monitoring & Standards Bureau of Freshwater and Biological Monitoring
NJ Fish Index of Biotic Integrity John Vile, MS Water Monitoring & Standards Bureau of Freshwater and Biological Monitoring Program Objectives Determine the current Status of fish communities, which reflect
Great Lakes Riparian Opportunity Assessment Methodology New York Natural Heritage Program September 25, 2015
Great Lakes Riparian Opportunity Assessment Methodology New York Natural Heritage Program September 25, 2015 OBJECTIVES The goal of this analysis is to assemble a suite of riparian habitat quality indicators
Appendix I - Development of stream flow alteration ecology relationships
Appendix I - Development of stream flow alteration ecology relationships Contents Flow alteration - ecology (FA-E) relationships... 1 Quantile regression method... 1 Conditional probability method... 4
Integrated Environmental Assessment and Management
Integrated Environmental Assessment and Management IEAM Podcast 8.4 Transcript* Title: California Sediment Quality Objectives, with Steve Bay JENNY SHAW: Hello, and welcome to the podcast for the journal,
USE OF BIOLOGICAL DATA IN ASSESSING WATER QUALITY (INTEGRATED REPORTING) KEVIN BERRY January 19, 2017
USE OF BIOLOGICAL DATA IN ASSESSING WATER QUALITY (INTEGRATED REPORTING) KEVIN BERRY January 19, 2017 Designated Uses: Establish Water Quality Goals Aquatic Life Recreation Fish Consumption Shellfish Harvesting
Effects of Muddy Creek RSC Restoration on Water Quality and Benthic Macroinvertebrates. Kyle Hodgson Maryland Department of Natural Resources
Effects of Muddy Creek RSC Restoration on Water Quality and Benthic Macroinvertebrates Kyle Hodgson Maryland Department of Natural Resources Project Location Edgewater, MD Anne Arundel County Atlantic
A prospective graduate program in river restoration at the University of Washington
A prospective graduate program in river restoration at the University of Washington A progress report Derek B. Booth Department of Civil and Environmental Engineering Department of Earth and Space Sciences
WATERSHED APPROACH TO RECOVERING URBAN STREAMS: MONTICELLO CREEK CASE STUDY USING SUSTAIN
WATERSHED APPROACH TO RECOVERING URBAN STREAMS: MONTICELLO CREEK CASE STUDY USING SUSTAIN Eric LaFrance, Senior Stormwater Engineer, Public Works Department, Redmond, WA Tarelle Osborn, Osborn Consulting,
Statewide Assessment of the Biotic Condition of California s Perennial Streams. March 2006
Statewide Assessment of the Biotic Condition of California s Perennial Streams March 2006 US Environmental Protection Agency, Region IX California Water Board (SWAMP, NPS) California Dept. of Fish and
Influence of Land Use, and its Change, on Streams and Rivers
Influence of Land Use, and its Change, on Streams and Rivers Ways in which land use alteration modifies streams. (from JD Allan 2004, Annu. Rev. Ecol., Evol. and Syst.) Dominant types of land use change:
Benthic Macroinvertebrate Bioassessment Data Summary Memo 2016
Benthic Macroinvertebrate Bioassessment Data Summary Memo 2016 December 11th, 2017 Morro Bay National Estuary Program 601 Embarcadero, Suite 11 Morro Bay, CA 93442 Acknowledgements The Morro Bay National
Biological Condition July 29, 2014
Biological Condition July 29, 2014 Presented by Mark Southerland (Versar) 1 Biological Condition Biology Knows Best, but no group tells all Important to consider 2 or more taxonomic groups Benthic macroinvertebrates
James R. Karr, Ph.D. (University of Washington) Richard R. Horner, Ph.D. (University of Washington) Charles R. Horner, Esq.
EPA s Review of Washington s Water Quality Criteria: An Evaluation of Whether Washington s Criteria Proposal Protects Stream Health and Designated Uses. James R. Karr, Ph.D. (University of Washington)
MULTIVARIATE STATISTICAL ANALYSIS OF TERRESTRIAL INVERTEBRATE INDEX OF BIOTIC INTEGRITY
Libraries Conference on Applied Statistics in Agriculture 2013-25th Annual Conference Proceedings MULTIVARIATE STATISTICAL ANALYSIS OF TERRESTRIAL INVERTEBRATE INDEX OF BIOTIC INTEGRITY Bahman Shafii William
Benthic Macroinvertebrates and MS4
Benthic Macroinvertebrates and MS4 Outline 1. Aquatic life use: Why monitor benthic macroinvertebrates? 2. Overview of benthic macroinvertebrates 3. Assessments with benthic macroinvertebrates 4. Identification
Yes, there is going to be some math (but not much) STATISTICAL APPROACH TO MEDICAL DEVICE VERIFICATION AND VALIDATION
Yes, there is going to be some math (but not much) STATISTICAL APPROACH TO MEDICAL DEVICE VERIFICATION AND VALIDATION Medical Device Verification and Validation In the medical device world, verification
Quantifying the Ecological uplift and effectiveness of differing stream restoration approaches in Maryland
Quantifying the Ecological uplift and effectiveness of differing stream restoration approaches in Maryland Joe Acord 1, Robert H. Hilderbrand 1, Tim Nuttle 2, Ray Ewing 2, Jennifer Hein 2 1 Appalachian
Implementation of a Tiered Aquatic Life Use Framework for Minnesota Streams
Implementation of a Tiered Aquatic Life Use Framework for Minnesota Streams June 13, 2012 New Text wq-ppt3-02 Minnesota Pollution Control Agency St. Paul, MN Stream Diversity in Minnesota Forest Mixed
Management, Monitoring, and Restoring Urban Streams
Management, Monitoring, and Restoring Urban Streams Derek B. Booth, PhD PG PE S T I L L W A T E R S C I E N C E S (President & Senior Geologist) U N I V E R S I T Y O F W A S H I N G T O N (Affiliate Professor)
Recovery Potential Screening: EPA Tools, Data and Support for Watershed Planning and Prioritizing
Recovery Potential Screening: EPA Tools, Data and Support for Watershed Planning and Prioritizing Doug Norton Watershed Branch WRAPD/OWOW, EPA Office of Water ASWM Webinar, June 2018 1 What is Recovery
Factors Influencing the Accuracy of a Macroinvertebrate Bioassessment Protocol in South Carolina Coastal Plain Streams
Journal of Freshwater Ecology ISSN: 0270-5060 (Print) 2156-6941 (Online) Journal homepage: http://www.tandfonline.com/loi/tjfe20 Factors Influencing the Accuracy of a Macroinvertebrate Bioassessment Protocol
Identifying priority watersheds for freshwater biodiversity conservation and drivers of biodiversity decline.
Identifying priority watersheds for freshwater biodiversity conservation and drivers of biodiversity decline. Amy J.S. Davis 1, PhD Stephanie Panlasigui 1, Michael Mangiante 1, John Darling 2, PhD 1ORISE
BIOLOGICAL - ENVIRONMENTAL CLASSIFICATION (BEC) SYSTEM AND SUPPORTING FLOW BIOLOGY RELATIONSHIPS IN NORTH CAROLINA PROJECT UPDATE
BIOLOGICAL - ENVIRONMENTAL CLASSIFICATION (BEC) SYSTEM AND SUPPORTING FLOW BIOLOGY RELATIONSHIPS IN NORTH CAROLINA PROJECT UPDATE Conducted by: RTI and USGS Funded by: Environmental Defense Fund, North
NRC fellow, USEPA-MED, Duluth, MN. USEPA-MED, Duluth, MN. ORISE participant, USEPA-MED, Duluth MN. USEPA, NERL/EERD, Cincinnati, OH
The truth is out there: integrating DNA-based data into bioassessments improves our understanding of species distributions and species habitat relationships Christy Meredith 1, Joel Hoffman 2, Anett Trebitz
PRELIMINARY ANALYSIS OF BIOTIC INDICES AND LAND COVER WITHIN STREAMS OF THE GEORGIA PIEDMONT
PRELIMINARY ANALYSIS OF BIOTIC INDICES AND LAND COVER WITHIN STREAMS OF THE GEORGIA PIEDMONT Gwendolyn D. Carroll and C. Rhett Jackson AUTHORS: Warnell School of Forest Resources, University of Georgia,
Potentially available LWD metrics for assessing riparian forest function
Potentially available LWD metrics for assessing riparian forest function Kevin R. Gehringer Ph.D. Biometrics Northwest LLC SAF 2010 National Convention October 27-31 Albuquerque, New Mexico Introduction
Introduction to Benthic-invertebrate Biomonitoring and Biocriteria
Introduction to Benthic-invertebrate Biomonitoring and Biocriteria Chris Jones 1 and Sarah Sinclair 2 1 Ontario Ministry of Environment, Dorset Environmental Science Centre 2 Saugeen Valley Conservation
Maryland s Baseline Stream Monitoring Efforts in the Marcellus Shale Region Involving Citizen Science
Maryland s Baseline Stream Monitoring Efforts in the Marcellus Shale Region Involving Citizen Science Image or Graphic Tony Prochaska Maryland Department of Natural Resources June 6, 2015 1 Overview Importance
Influence of Land Use, and its Change, on Streams and Rivers
Influence of Land Use, and its Change, on Streams and Rivers Ways in which land use alteration modifies streams. (from JD Allan 2004, Annu. Rev. Ecol., Evol. and Syst.) Dominant types of land use change:
The studying status and use of benthic macro invertebrates for assessment and biomonitoring of water quality in Vietnam
The studying status and use of benthic macro invertebrates for assessment and biomonitoring of water quality in Vietnam Ho Thanh Hai Institute of Ecology and Bioresources 1. Semi-quantitative biotic indices
Significant Impact Levels (SILs) Guidance: Technical Basis. R. Chris Owen, EPA-OAQPS Tuesday, Nov. 15, 2016
Significant Impact Levels (SILs) Guidance: Technical Basis R. Chris Owen, EPA-OAQPS Tuesday, Nov. 15, 2016 Basis for SILs technical analysis EPA position: insignificant impact = change in air quality that
The derivation and utility of a hydrologic condition index for assessing land use effects and regulations
Western Washington University Western CEDAR Salish Sea Ecosystem Conference 2014 Salish Sea Ecosystem Conference (Seattle, Wash.) May 1st, 1:30 PM - 3:00 PM The derivation and utility of a hydrologic condition
Invertebrate differentiation in various microhabitats of small and medium lowland rivers
The Functioning and Protection of Water Ecosystems R. Gołdyn, P. Klimaszyk, N. Kuczyńska-Kippen & R. Piotrowicz (eds) Department of Water Protection, Faculty of Biology, Adam Mickiewicz University, Poznań
How does sediment affect fish and macroinvertebrates?
How does sediment affect fish and macroinvertebrates? How does sediment affect fish and macroinvertebrates? Suspended sediment (TSS): breathing, vision Sediment on streambed: egg development living space
La venue de ce conférencier a été rendue possible grâce au soutien financier du ministère de l Agriculture, des Pêcheries et de l Alimentation
La venue de ce conférencier a été rendue possible grâce au soutien financier du ministère de l Agriculture, des Pêcheries et de l Alimentation Explaining Variability in Yield Response to Nitrogen New Opportunity
WORKING WITH TEST DOCUMENTATION
WORKING WITH TEST DOCUMENTATION CONTENTS II. III. Planning Your Test Effort 2. The Goal of Test Planning 3. Test Planning Topics: b) High Level Expectations c) People, Places and Things d) Definitions
Washington State Department of Ecology: Biological Assessment Model Development and Use in State Regulatory Programs
Western Washington University Western CEDAR Salish Sea Ecosystem Conference 2014 Salish Sea Ecosystem Conference (Seattle, Wash.) May 1st, 10:30 AM - 12:00 PM Washington State Department of Ecology: Biological
Item 4 Page 1 of 5 EE: Developing Benthic Community Condition Indices for Mesohaline Environments
Item 4 Page 1 of 5 PS/SS: Development of Benthic Community Condition Indices for Mesohaline Environments of the San Francisco Bay. Estimated Total Cost: $125,800 (two-year study 2012 and 2013) $50,000
The Status of Rainbow Trout (Oncorhynchus mykiss) in the Stanislaus River Summary report of 2015 snorkel surveys
The Status of Rainbow Trout (Oncorhynchus mykiss) in the Stanislaus River Summary report of 2015 snorkel surveys Prepared By: Matt Peterson Jason Guignard Andrea Fuller Doug Demko FISHBIO 1617 S. Yosemite
Response of Diatom Assemblages to the 20 th Century Changes in Water Quality
Response of Diatom Assemblages to the 20 th Century Changes in Water Quality Conditions in Biscayne Bay, FL, USA Anna Wachnicka, Evelyn Gaiser and Lynn Wingard Florida International University, FL, USA
Habitat and Macroinvertebrate Assessment in San Pablo Creek. Karyn Massey
Habitat and Macroinvertebrate Assessment in San Pablo Creek Karyn Massey Abstract San Pablo Creek is an urban creek that flows through El Sobrante, San Pablo and Richmond, California. San Pablo Creek has
Buffers improve water quality
Buffers improve water quality Recently, the MPCA had a request asking if we could see a difference in water quality in streams from sites where there are buffers compared to sites without buffers. We looked
Upper Des Plaines River Feasibility Study
Upper Des Plaines River Feasibility Study Appendix M Monitoring & Adaptive Management Plan August 2013 Study Partnership Illinois Department of Natural Resources (IDNR) Southeastern Wisconsin Regional
Low Impact Development in Western WA Municipal Stormwater Permits
Low Impact Development in Western WA Municipal Stormwater Permits USGS Tacoma Office September 19, 2012 E-mail: eobr461@ecy.wa.gov ttp://www.ecy.wa.gov/programs/wq/stormwater/municipal/index.html Municipal
Reference Condition: Science and Regulatory Context
Reference Condition: Science and Regulatory Context Stoddard et al. (2006) the primary focus of biological assessment is an evaluation of the effect of human activity Requires the estimation of biological
Benthic Macroinvertebrates (BMI) Identification
Benthic Macroinvertebrates (BMI) Identification In this activity students will identify benthic macroinvertebrates collected from a stream. Benthic macroinvertebrates are stream-dwelling invertebrates
YUROK TRIBE. FINAL Macroinvertebrate Report: 2011 June 2011 August Yurok Tribe Environmental Program PO Box 1027, Klamath, California 95548
YUROK TRIBE FINAL Macroinvertebrate Report: 2011 June 2011 August 2011 Yurok Tribe Environmental Program PO Box 1027, Klamath, California 95548 Prepared by: Sarah Gossman, AmeriCorps Watershed Stewards
Analysis of Environmental Data Problem Set Conceptual Foundations: En viro n m e n tal Data Answers
Analysis of Environmental Data Problem Set Conceptual Foundations: En viro n m e n tal Data Answers 1. For each of the following research questions, define a relevant statistical population. In doing so,
Seascape ecology of reef fish at Buck Island Reef National Monument, St.Croix, US Virgin Islands.
Seascape ecology of reef fish at Buck Island Reef National Monument, St.Croix, US Virgin Islands. Matthew S. Kendall 1, Christopher Caldow 1, John D. Christensen 1, Michael Coyne 1, Christopher Jeffrey
ISO INTERNATIONAL STANDARD. Statistical methods for use in proficiency testing by interlaboratory comparisons
INTERNATIONAL STANDARD ISO 13528 First edition 2005-09-01 Statistical methods for use in proficiency testing by interlaboratory comparisons Méthodes statistiques utilisées dans les essais d'aptitude par
A Multimetric Benthic Macroinvertebrate Index for the Assessment of Stream Biotic Integrity in Korea
Int. J. Environ. Res. Public Health 2012, 9, 3599-3628; doi:10.3390/ijerph9103599 OPEN ACCESS Article International Journal of Environmental Research and Public Health ISSN 1660-4601 www.mdpi.com/journal/ijerph
Improving Urban Mobility Through Urban Analytics Using Electronic Smart Card Data
Improving Urban Mobility Through Urban Analytics Using Electronic Smart Card Data Mayuree Binjolkar, Daniel Dylewsky, Andrew Ju, Wenonah Zhang, Mark Hallenbeck Data Science for Social Good-2017,University
LabGuide 13 How to Verify Performance Specifications
1 LG 13 Comments? Feedback? Questions? Email us at info@cola.org or call us at 800 981-9883 LabGuide 13 How to Verify Performance Specifications The verification of performance specifications confirms
Understanding Florida s Stream Condition Index. Russ Frydenborg FDEP Bureau of Laboratories
Understanding Florida s Stream Condition Index Russ Frydenborg FDEP Bureau of Laboratories Factors Affecting Aquatic Biological Communities Light penetration Temperature Habitat structure Sediment/substrate
A hydro-ecological assessment method for temporary rivers. The Candelaro river case study (SE, Italy)
SWAT 2013 Conference Toulouse France July 17th-19th, 2013 A hydro-ecological assessment method for temporary rivers. The Candelaro river case study (SE, Italy) A.M. De Girolamo 1 F. Gallart 2 G.Pappagallo
Water Quality Analysis of Streams in the City of Lynchburg By: The Class
Water Quality Analysis of Streams in the City of Lynchburg By: The Class Introduction: When monitoring water quality it is important to know what to look at to help determine if the stream is healthy.
NCS Design Approach. Biology/Ecology Primer. Presented by: Jack Imhof, National Biologist Trout Unlimited Canada
NCS Design Approach Biology/Ecology Primer Presented by: Jack Imhof, National Biologist Trout Unlimited Canada Biology/Ecology Key biological principles that are applied Need to speak the same language
Benthic Macroinvertebrates Monitoring
Chapter Includes: Streams Sampled Procedures Results Collecting data on macroinvertebrates helps to determine the biological health of streams and to identify areas where degradation is occurring due to
Life on the James Judging Water Quality Based on Macroinvertebrates
Life on the James Judging Water Quality Based on Macroinvertebrates About this Lesson This lesson is an excellent introduction to the concept of pollution and how it affects macroinvertebrates and therefore
Results for the Puget Sound
Northwest Forest Plan -The First 15 Years (1994-2008) Watershed Condition Status and Trend Results for the Puget Sound Steve Lanigan, Sean Gordon, Peter Eldred, Stephanie Miller July, 2013 The Northwest
Content Overview of the next Chesapeake Bay Ambient Water Quality Criteria Technical Addendum
Content Overview of the next Chesapeake Bay Ambient Water Quality Criteria Technical Addendum Peter Tango USGS@CBPO February 12, 2016 STAC Criteria Addendum Review Panel The Water Quality Standards Framework
River Monitoring and Water Resource Terms
River Monitoring and Water Resource Terms Baseflow: River discharge or flow composed of ground water drainage and delayed surface drainage. Baseflow is typically characterized as that portion of river
Assessment of Forest Cover in the High Rock Lake Watershed of North Carolina
Assessment of Forest Cover in the High Rock Lake Watershed of North Carolina Tom Gerow, Jr. Staff Forester for BMPs NCDA&CS North Carolina Forest Service Primary Funding by a Cooperative Grant (11DG-11083137-001)
Pollution Tolerance Index Bag of Bugs
Pollution Tolerance Index Bag of Bugs Adapted from: An original Creek Connections activity. Creek Connections, Box 10, Allegheny College, Meadville, Pennsylvania 16335. Aquatic Macroinvertebrates - Pollution
Ecosystem Penrith Lakes
Year 11 Biology Ecosystem Dynamics @ Penrith Lakes (Population Dynamics - includes depth study modelling) Key Inuiry Question: What effect can one species have on the other species in a community? Students:
Using the Waste Load Allocation Model (WLAM) to Develop Effluent Limitations and Waste Discharge Requirements
Using the Waste Load Allocation Model (WLAM) to Develop Effluent Limitations and Waste Discharge Requirements Background The Regional Water Quality Control Board establishes water quality objectives to
+? Mean +? No change -? Mean -? No Change. *? Mean *? Std *? Transformations & Data Cleaning. Transformations
Transformations Transformations & Data Cleaning Linear & non-linear transformations 2-kinds of Z-scores Identifying Outliers & Influential Cases Univariate Outlier Analyses -- trimming vs. Winsorizing
Urban Tree Planting Quantification Guidance
Urban Tree Planting Quantification Guidance May 2016 1 Introduction... 2 2 Reporting Requirements for Urban Forest Carbon Pools... 2 3 Methodology for Estimating CO 2 e in Urban Tree Planting Projects...
Riparian Habitat Quality Assessment Following Stream Restoration
Riparian Habitat Quality Assessment Following Stream Restoration Michele Goodfellow Earth and Environmental Sciences College of Science and Engineering University of West Florida Outline Importance Objectives
Upper Merrimack Monitoring Program
AN EVALUATION of the STATISTICAL POWER OF VOLUNTEER- GENERATED DATA COMPILED by the UPPER MERRIMACK MONITORING PROGRAM Stephen C. Landry Michele L. Tremblay principal investigators Upper Merrimack Monitoring
HYDROLOGICAL ANALYSIS OF FLOW VARIATIONS ON SHPP SITE
13 th International Symposium on Water Management and Hydraulic Engineering, September 9-12, 2013 Bratislava, Slovakia HYDROLOGICAL ANALYSIS OF FLOW VARIATIONS ON SHPP SITE Gordon Gilja 1, Eva Ocvirk 2
Preamble: Proposed Stream Nutrient Assessment Procedure
Preamble: Proposed Stream Nutrient Assessment Procedure Ohio EPA Nutrients Technical Advisory Group Assessment Procedure Subgroup Members: Guy Jamesson, Larry Antosch, Mike Brom, Bill Hall, Dale Kocarek,
Assessing Morphological Performance of Stream Restoration in North Carolina
Assessing Morphological Performance of Stream Restoration in North Carolina Barbara Doll, PE, Ph.D., Extension Specialist NC Sea Grant and Biological and Agricultural Engineering Department, NC State University
THE BIOLOGICAL ASSESSMENT OF POLLUTION
THE BIOLOGICAL ASSESSMENT OF POLLUTION 1. Introduction The chemical and physical environment obviously has a profound effect on plant and animal communities. Thus, the plants found on a chalk- or limestone-based
Canadian Benthic Data Set. nuclearsafety.gc.ca
Canadian Nuclear Safety Commission Commission canadienne de sûreté nucléaire Canadian Benthic Data Set Steve Mihok EMRAS II Meeting, Vienna, Austria January 27, 2010 nuclearsafety.gc.ca 1 Thompson et al.
Intraspecific Variation and Ecosystem Function: Implications for more effective Post-Restoration Monitoring
Utah State University DigitalCommons@USU Watershed Sciences Student Research Watershed Sciences Student Works 6-28-2017 Intraspecific Variation and Ecosystem Function: Implications for more effective Post-Restoration
Freshwater Health Assessments in the Great Lakes
SOSMART Freshwater Health Assessments in the Great Lakes James Snider, Acting Freshwater Director WWF-Canada Greg Stott/WWF-Canada April 10, 2015 1 A major milestone. All major freshwater systems assessed
GROUNDWATER STATISTICAL METHOD CERTIFICATION WALTER SCOTT JR. ENERGY CENTER COAL COMBUSTION RESIDUAL MONOFILL POTTAWATTAMIE COUNTY, IOWA
GROUNDWATER STATISTICAL METHOD CERTIFICATION WALTER SCOTT JR. ENERGY CENTER COAL COMBUSTION RESIDUAL MONOFILL POTTAWATTAMIE COUNTY, IOWA 1.0 INTRODUCTION Terracon Project No. 05157640 October 15, 2017