Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 254

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Ecological indicators for stream restoration success

Pander, Joachim, Geist, Juergen·2013·Ecological Indicators

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ecolind.2013.01.039

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 88 references

Research works printed but not linked: 46

  1. Bundesministerium der Justiz, 2009c. Verordnung über Anforderungen an das Einleiten von Abwasser in Gewässer (Abwasserverordnung – AbwV). BGBl I, pp. 1108, 2625.
  2. Bundesministerium der Justiz, 2010. Gesetz über die Umweltverträglichkeitsprüfung (UVPG). BGBl I, p. 94. · doi:10.7328/bgbl_2010_0000038_h7
  3. Camusso, 1994, Use of freshwater mussel Dreissena polymorpha to assess trace metal pollution in the lower river Po (Italy), Chemosphere, 29, 729, 10.1016/0045-6535(94)90042-6 · doi:10.1016/0045-6535(94)90042-6
  4. Chapman, 1999, Improving sampling designs for measuring restoration in aquatic habitats, J. Aquat. Ecosyst. Stress Recov., 6, 235, 10.1023/A:1009987403481 · doi:10.1023/a:1009987403481
  5. Denic, 2010, Habitat suitability analysis for lacustrine brown trout (Salmo trutta) in Lake Walchensee: implications for the conservation of an endangered flagship species, Aquat. Conserv., 20, 9, 10.1002/aqc.1058 · doi:10.1002/aqc.1058
  6. Dußling, 2005, The Index of Fish Regions (FRI) – a tool for river assessment according to the EC Water Framework Directive, Wasserwirtschaft, 7–8, 19, 10.1007/BF03241304 · doi:10.1007/bf03241304
  7. European Parliament, 1985, Council Directive 85/337/EEC on the assessment of the effects of certain public and private projects on the environment, Off. J. Eur. Union, 175, 40
  8. European Parliament, 1991, Council Directive 91/271/EEC concerning urban waste water treatment, Off. J. Eur. Union, 135, 40
  9. European Parliament, 1991, Council Directive 91/676/EEC concerning the protection of waters against pollution caused by nitrates from agricultural sources, Off. J. Eur. Union, 375, 1
  10. European Parliament, 1992, Council Directive 92/43/EEC on the conservation of natural habitats and of wild fauna and flora, Off. J. Eur. Union, 206, 7
  11. European Parliament, 1998, Council Directive 98/83/EG on the quality of water intended for human consumption, Off. J. Eur. Union, 330, 32
  12. European Parliament, 2000, Directive 2000/60/EC of the European Parliament and of the Council establishing a framework for the Community action in the field of water policy, Off. J. Eur. Union, 327, 1
  13. European Parliament, 2003, Directive 2003/4/EC of the European Parliament and of the Council on public access to environmental information and repealing Council Directive 90/313/EEC, Off. J. Eur. Union, 41, 26
  14. European Parliament, 2007, Directive 2007/60/EC of the European Parliament and of the Council on the assessment and management of flood risks, Off. J. Eur. Union, 288, 27
  15. European Parliament, 2008, Directive 2008/1/EC of the European Parliament and of the Council concerning integrated pollution prevention and control, Off. J. Eur. Union, 24, 8
  16. Geist, 2009, The importance of genetic cluster recognition for the conservation of migratory fish species: the example of the endangered. European Huchen (Hucho hucho L.), J. Fish Biol., 75, 1063, 10.1111/j.1095-8649.2009.02377.x · doi:10.1111/j.1095-8649.2009.02377.x
  17. Holčík, 1995, Threatened fishes of the world: Hucho hucho (Linnaeus, 1758) (Salmonidae), Environ. Biol. Fishes, 43, 105, 10.1007/BF00001822 · doi:10.1007/bf00001822
  18. Johnson, 2006, Detection of ecological change using multiple organism groups: metrics and uncertainty, Hydrobiologia, 566, 115, 10.1007/s10750-006-0101-8 · doi:10.1007/s10750-006-0101-8
  19. Kirchhofer, 1995, Morphological variability in the ecotone – an important factor for the conservation of fish species richness in Swiss rivers, Hydrobiologia, 303, 103, 10.1007/BF00034048 · doi:10.1007/bf00034048
  20. Kirkland, 2012, A review of factors influencing artificial salmonid incubation success and a spate river-specific incubator design, Fish. Manag. Ecol., 19, 1, 10.1111/j.1365-2400.2011.00807.x · doi:10.1111/j.1365-2400.2011.00807.x
  21. Knoben, R.A.E., Roos, C., Van Oirschot, M.C.M., 1995. Biological Assessment Methods for Watercourses. UN/ECE Task Force on Monitoring and Assessment, RIZA report nr. 95.066, pp. 1–86.
  22. Lundberg, 2004, Behavioural elements of the noble crayfish, Astacus astacus (Linnaeus, 1758), Crustaceana, 77, 137, 10.1163/156854004774003510 · doi:10.1163/156854004774003510
  23. Neumann, 2003, An expert system to estimate the pesticide contamination of small streams using benthic macroinvertebrates as bioindicators, Part 2: The knowledge base of LIMPACT, Ecol. Indicators, 2, 391, 10.1016/S1470-160X(03)00025-6 · doi:10.1016/s1470-160x(03)00025-6
  24. Pander, 2009, The “egg sandwich”: a method for linking spatially resolved salmonid hatching rates with habitat variables in stream ecosystems, J. Fish Biol., 74, 683, 10.1111/j.1095-8649.2008.02145.x · doi:10.1111/j.1095-8649.2008.02145.x
  25. Pander, 2010, Salmonid-egg floating boxes as bioindication for riverine water quality and stocking success, J. Fish Biol., 76, 2584, 10.1111/j.1095-8649.2010.02645.x · doi:10.1111/j.1095-8649.2010.02645.x
  26. Payne, 1976, The exploitation of African fisheries, Oikos, 27, 356, 10.2307/3543454 · doi:10.2307/3543454
  27. Power, 1999, Recovery in aquatic ecosystems: an overview of knowledge and needs, J. Aquat. Ecosyst. Stress Recov., 6, 253, 10.1023/A:1009991620319 · doi:10.1023/a:1009991620319
  28. Raharimahefa, 2010, Environmental monitoring of bombetoka bay and the Betsiboka estuary, Madagascar, using multi-temporal satellite data, J. Earth Sci., 21, 210, 10.1007/s12583-010-0019-y · doi:10.1007/s12583-010-0019-y
  29. Rubin, 1996, Egg-to-fry survival of the sea trout in some streams of Gotland, J. Fish Biol., 48, 585, 10.1111/j.1095-8649.1996.tb01454.x · doi:10.1111/j.1095-8649.1996.tb01454.x
  30. Rolauffs, P., Hering, D., Sommerhäuser, M., Rödiger, S., Jähnig, S., 2003. Entwicklung eines leitbildorientierten Saprobienindexes für die biologische Fließgewässerbewertung. Umweltbundesamt Texte 11/03, pp. 1–137.
  31. Sanches, 2006, Flow regulation by dams affecting ichtyoplankton: the case of the Porto Primera Dam, Paraná River, Brazil, River Res. Appl., 22, 555, 10.1002/rra.922 · doi:10.1002/rra.922
  32. Schmidt, 1999, Active biomonitoring with brown trout and rainbow trout in diluted sewage plant effluents, J. Fish Biol., 54, 585, 10.1111/j.1095-8649.1999.tb00637.x · doi:10.1111/j.1095-8649.1999.tb00637.x
  33. Schneider, 2003, The trophic index of macrophytes (TIM) – a new tool for indicating the trophic state of running waters, Int. Rev. Hydrobiol., 88, 49, 10.1002/iroh.200390005 · doi:10.1002/iroh.200390005
  34. Schneider, 2009, Bioindication in Norwegian rivers using non-diatomaceous benthic algae: the acidification index periphyton (AIP), Ecol. Indicators, 9, 1206, 10.1016/j.ecolind.2009.02.008 · doi:10.1016/j.ecolind.2009.02.008
  35. Schneider, 2011, The periphyton index of trophic status PIT: a new eutrophication metric based on non-diatomaceous benthic algae in Nordic rivers, Hydrobiologia, 665, 143, 10.1007/s10750-011-0614-7 · doi:10.1007/s10750-011-0614-7
  36. Shannon, 1949, vol. 1
  37. Smith, 2007, A nutrient biotic index (NBI) for use with benthic macroinvertebrate communities, Ecol. Indicators, 7, 371, 10.1016/j.ecolind.2006.03.001 · doi:10.1016/j.ecolind.2006.03.001
  38. 80th United States Congress, 1947. Federal Insecticide, Fungicide, and Rodenticide Act of 1947 to regulate the marketing of economic poisons and devices, and for other purposes (FIFRA). Public Law, pp. 80–104.
  39. 89th United States Congress, 1965. Flood Control Act (FCA). Public Law, pp. 89–298.
  40. 91st United States Congress, 1970. National Environmental Policy Act of 1969 (NEPA). Public Law, pp. 91–190.
  41. 92nd United States Congress, 1972. Federal Water Pollution Control Amendments of 1972 (CWA/Clean Water Act). Public Law, pp. 92–500.
  42. 93rd United States Congress, 1973. An Act to provide for the conservation of endangered and threatened species of fish, wildlife, and plants, and for other purposes (ESA). Public Law, pp. 93–205.
  43. 99th United States Congress, 1986. Emergency Planning and Community Right-to-Know Act (EPCRA). Public Law, pp. 99–499.
  44. 107th United States Congress, 2002. Public Health Security and Bioterrorism Preparedness and Response Act (Bioterrorism Act). Public Law, pp. 107–188.
  45. Wahaab, 2004, Water quality assessment of the river Nile System: an overview, Biomed. Environ. Sci., 17, 87
  46. Zelinka, 1961, Zur Präzisierung der biologischen Klassifikation der Reinheit fliessender Gewässer, Arch. Hydrobiol., 57, 389

Cited by

See all 254

Metadata

Authors
Pander, J., & Geist, J.
Venue
Ecological Indicators
Publisher
Elsevier BV
Published
2013-07
Volume
30
Pages
106-118
ISSN
1470-160X (ISSN-L)
OpenAlex
W2042129549
Cited by
254
References
88
FWCI
16.69
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Ecological indicators for stream restoration success. https://app.cochat.ai/papers/10.1016/j.ecolind.2013.01.039
The paper
Pander, J., & Geist, J. (2013). Ecological indicators for stream restoration success. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2013.01.039

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.