List of works - Kristian K Meissner

A pilot for implementing environmental DNA (eDNA) based methods into environmental and biomonitoring

scientific article published on 04 March 2021

Advancing the use of molecular methods for routine freshwater macroinvertebrate biomonitoring – the need for calibration experiments

scientific article published on 11 July 2019

Assessing strengths and weaknesses of DNA metabarcoding-based macroinvertebrate identification for routine stream monitoring

scientific article published in 2017

Automatic image‐based identification and biomass estimation of invertebrates

scientific article

Benchmark database for fine-grained image classification of benthic macroinvertebrates

scientific article

Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates

scientific article

Classification and retrieval on macroinvertebrate image databases.

scientific article published on 23 May 2011

Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficiency analysis

scientific article

DNAqua-Net or how to navigate on the stormy waters of standards and legislations

scientific article published on 18 May 2018

DNAqua-Net: Developing new genetic tools for bioassessment and monitoring of aquatic ecosystems in Europe

scientific article (publication date: 29 November 2016)

Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates

scientific article published in December 2016

Data summarizing monitoring and evaluation for three European environmental policies in 9 cases across Europe

scientific article published on 28 February 2019

Deep learning and computer vision will transform entomology

scientific article published on 12 January 2021

Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

scientific article published in 2019

Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity

scientific article published on 10 August 2018

Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models

scientific article

Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates

scientific article

Gaps in current Baltic Sea environmental monitoring - Science versus management perspectives

scientific article published on 17 September 2020

Global patterns and drivers of ecosystem functioning in rivers and riparian zones

scientific article published on 09 January 2019

How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring

article by Petteri Vihervaara et al published April 2017 in Global Ecology and Conservation

Human experts vs. machines in taxa recognition

scientific article

Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive

scientific article published in July 2018

Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases

scientific article published in September 2010

On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification

scientific article published in December 2019

Policy-driven monitoring and evaluation: Does it support adaptive management of socio-ecological systems?

scientific article published on 04 January 2019

Protecting and restoring Europe's waters: An analysis of the future development needs of the Water Framework Directive

scientific article published in March 2019

Statistical classification and proportion estimation - an application to a macroinvertebrate image database

Testate amoebae community analysis as a tool to assess biological impacts of peatland use

scientific article

The effect of automated taxa identification errors on biological indices

scientific article published in April 2017

The role of trout in stream food webs: integrating evidence from field surveys and experiments

scientific article published on 01 March 2006

The value of perfect and imperfect information in lake monitoring and management

scientific article published on 04 April 2020

Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making

scientific article

Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action

scientific article published in 2018

A strategy for successful integration of DNA-based methods in aquatic monitoring

scientific article published in 2022

List of works by Kristian K Meissner

A pilot for implementing environmental DNA (eDNA) based methods into environmental and biomonitoring

Advancing the use of molecular methods for routine freshwater macroinvertebrate biomonitoring – the need for calibration experiments

Assessing strengths and weaknesses of DNA metabarcoding-based macroinvertebrate identification for routine stream monitoring

Automatic image‐based identification and biomass estimation of invertebrates

Benchmark database for fine-grained image classification of benthic macroinvertebrates

Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates

Classification and retrieval on macroinvertebrate image databases.

Cost-efficiency assessments of marine monitoring methods lack rigor—a systematic mapping of literature and an end-user view on optimal cost-efficiency analysis

DNAqua-Net or how to navigate on the stormy waters of standards and legislations

DNAqua-Net: Developing new genetic tools for bioassessment and monitoring of aquatic ecosystems in Europe

Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates

Data summarizing monitoring and evaluation for three European environmental policies in 9 cases across Europe

Deep learning and computer vision will transform entomology

Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

Environmental Characteristics and Anthropogenic Impact Jointly Modify Aquatic Macrophyte Species Diversity

Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models

Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinvertebrates

Gaps in current Baltic Sea environmental monitoring - Science versus management perspectives

Global patterns and drivers of ecosystem functioning in rivers and riparian zones

How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring

Human experts vs. machines in taxa recognition

Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive

Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases

On Confidences and Their Use in (Semi-)Automatic Multi-Image Taxa Identification

Policy-driven monitoring and evaluation: Does it support adaptive management of socio-ecological systems?

Protecting and restoring Europe's waters: An analysis of the future development needs of the Water Framework Directive

Statistical classification and proportion estimation - an application to a macroinvertebrate image database

Testate amoebae community analysis as a tool to assess biological impacts of peatland use

The effect of automated taxa identification errors on biological indices

The role of trout in stream food webs: integrating evidence from field surveys and experiments

The value of perfect and imperfect information in lake monitoring and management

Understanding the statistical properties of the percent model affinity index can improve biomonitoring related decision making

Why We Need Sustainable Networks Bridging Countries, Disciplines, Cultures and Generations for Aquatic Biomonitoring 2.0: A Perspective Derived From the DNAqua-Net COST Action

﻿A strategy for successful integration of DNA-based methods in aquatic monitoring

A strategy for successful integration of DNA-based methods in aquatic monitoring