NDLI: The M-NIP: a macrophyte-based Nutrient Index for Ponds

Content Provider	Springer Nature Link
Author	Sager, Lionel Lachavanne, Jean Bernard
Copyright Year	2009
Abstract	In Swiss ponds, eutrophication represents one of the major threats to biodiversity. A biological method to assess the trophic state would, therefore, be particularly useful for monitoring purposes. Macrophytes have already been successfully used to evaluate the trophic state of rivers and lakes. Considering their colonizing abilities and their roles in pond ecosystem structure and function, macrophytes should be included in any assessment methods as required by the European Water Framework Directive. Vegetation survey and water quality data for 114 permanent ponds throughout Switzerland were analysed to define indicator values for 113 species including 47 with well-defined ecological response to total water phosphorus (TP). Using indicator values and species cover, a Macrophyte Nutrient Index for Ponds (M-NIP) was calculated for each site and assessed with both the original pond data set and a limited validation data set. The resulting index performed better when considering only species with narrow responses to TP gradient and was more applicable, but less accurate when including all species. Despite these limitations, the M-NIP is a valuable and easy tool to assess and monitor the nutrient status of Swiss ponds and was shown to be robust and relatively sensitive to slight changes in phosphorus loading with a validation subset.
Starting Page	43
Ending Page	63
Page Count	21
File Format	PDF
ISSN	00188158
Journal	Hydrobiologia
Volume Number	634
Issue Number	1
e-ISSN	15735117
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-08-13
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Aquatic vegetation Bioassessment Eutrophication Water quality EU Water Framework Directive Zoology Ecology Freshwater & Marine Ecology
Content Type	Text
Resource Type	Article
Subject	Aquatic Science

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

Towards a multimetric index for ecological assessment of Mediterranean flatland ponds: the use of macroinvertebrates as bioindicators

DIATMOD: diatom predictive model for quality assessment of Portuguese running waters

Using aquatic macrophyte community indices to define the ecological status of European lakes

Classifying aquatic macrophytes as indicators of eutrophication in European lakes

A phytoplankton trophic index to assess the status of lakes for the Water Framework Directive

Eutrophication: are mayflies (Ephemeroptera) good bioindicators for ponds?

Artificial neural network modelling of macrophyte indices based on physico-chemical characteristics of water

Strength and uncertainty of phytoplankton metrics for assessing eutrophication impacts in lakes

Strength of phytoplankton–nutrient relationship: evidence from 13 biomanipulated ponds

The M-NIP: a macrophyte-based Nutrient Index for Ponds

Similar Documents

Towards a multimetric index for ecological assessment of Mediterranean flatland ponds: the use of macroinvertebrates as bioindicators

DIATMOD: diatom predictive model for quality assessment of Portuguese running waters

Using aquatic macrophyte community indices to define the ecological status of European lakes

Classifying aquatic macrophytes as indicators of eutrophication in European lakes

A phytoplankton trophic index to assess the status of lakes for the Water Framework Directive

Eutrophication: are mayflies (Ephemeroptera) good bioindicators for ponds?

Artificial neural network modelling of macrophyte indices based on physico-chemical characteristics of water

Strength and uncertainty of phytoplankton metrics for assessing eutrophication impacts in lakes

Strength of phytoplankton–nutrient relationship: evidence from 13 biomanipulated ponds

The M-NIP: a macrophyte-based Nutrient Index for Ponds