NDLI: When are historical data sufficient for making watershed-level stream fish management and conservation decisions?

Content Provider	Springer Nature Link
Author	Smith, Katherine L. Jones, Michael L.
Copyright Year	2007
Abstract	Addressing landscape-level threats to stream fishes such as habitat and hydrological alterations requires adequate watershed-level species inventories. Where watershed-level ichthyofaunal surveys are prohibitively expensive, existing (historical) data sources may provide an option for compiling species lists. However, it is critical that managers consider potential biases or limitations of species lists compiled from existing data. Here we assess the suitability of species lists compiled from existing data sources for making watershed-level fish management and conservation decisions. For nine Great Lakes watersheds, we developed existing species lists by compiling all available federal and state agency and museum fish survey data. We then compared the size and species composition of existing species lists to current species lists compiled from intensive field surveys, conducted in 2002, of the same watersheds. Species lists compiled from commonly available existing data sources, such as state and federal agency and museum data, missed many species detected during our 2002 field surveys. In most watersheds, more than 10 species were missed (range 5–21) on existing lists. Sampling over multiple years and seasons increased the size of both current (field) and existing species lists. Existing species lists compiled from surveys conducted over multiple years and seasons included an average of 15 species not captured during the 2002 field surveys. However, such multiyear existing datasets are rare and not available for many watersheds. In addition, species lists compiled from older existing surveys (e.g., before 1984) did not accurately represent current species composition of the watersheds and our results indicate several apparent misidentifications or errors on these lists. Lastly, while most game species were detected on existing lists, migratory species and recently introduced species were commonly missed on these lists. We conclude with recommendations for using existing data for watershed-level stream fish management and conservation decisions.
Starting Page	291
Ending Page	311
Page Count	21
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	135
Issue Number	1-3
e-ISSN	15732959
Language	English
Publisher	Springer Netherlands
Publisher Date	2007-03-21
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Stream fishes Historical data Sampling methods Environmental assessment Long-term change Migratory species Fish conservation and management Environmental Management Atmospheric Protection/Air Quality Control/Air Pollution Ecology Ecotoxicology
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Long-Term Biomonitoring with Lichens: Comparing Data from Different Sampling Procedures

Dealing With Uncertainty When Assessing Fish Passage Through Culvert Road Crossings

Can Species Distribution Models Aid Bioassessment when Reference Sites are Lacking? Tests Based on Freshwater Fishes

Recovery of Fish Communities in a Warm Water Stream Following Pollution Abatement

Twenty-year inter-annual trends and seasonal variations in precipitation and stream water chemistry at the Bear Brook Watershed in Maine, USA

Stabilisation patterns of hourly urban sound levels

Mercury in small Illinois fishes: historical perspectives and current issues

Assessment of trace metals in four bird species from Korea

Impact of sampling strategy on stream load estimates in till landscape of the Midwest

When are historical data sufficient for making watershed-level stream fish management and conservation decisions?

Similar Documents

Long-Term Biomonitoring with Lichens: Comparing Data from Different Sampling Procedures

Dealing With Uncertainty When Assessing Fish Passage Through Culvert Road Crossings

Can Species Distribution Models Aid Bioassessment when Reference Sites are Lacking? Tests Based on Freshwater Fishes

Recovery of Fish Communities in a Warm Water Stream Following Pollution Abatement

Twenty-year inter-annual trends and seasonal variations in precipitation and stream water chemistry at the Bear Brook Watershed in Maine, USA

Stabilisation patterns of hourly urban sound levels

Mercury in small Illinois fishes: historical perspectives and current issues

Assessment of trace metals in four bird species from Korea

Impact of sampling strategy on stream load estimates in till landscape of the Midwest

When are historical data sufficient for making watershed-level stream fish management and conservation decisions?