1
|
Torres-Martínez JA, Mahlknecht J, Kumar M, Loge FJ, Kaown D. Advancing groundwater quality predictions: Machine learning challenges and solutions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:174973. [PMID: 39053524 DOI: 10.1016/j.scitotenv.2024.174973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/22/2024] [Accepted: 07/20/2024] [Indexed: 07/27/2024]
Abstract
Machine learning (ML) is revolutionizing groundwater quality research by enhancing predictive accuracy and management strategies for contamination. This comprehensive review explores the evolution of ML technologies and their integration into environmental science, assessing 230 papers to understand the advancements and challenges in groundwater quality research. It reveals that a substantial portion of the research neglects critical preprocessing steps, crucial for model accuracy, with 83 % of the studies overlooking this phase. Furthermore, while model optimization is more commonly addressed, being implemented in 65 % of the papers, there is a noticeable gap in model interpretability, with only 15 % of the research providing explanations for model outcomes. Comparative evaluation of ML algorithms and careful selection of evaluation metrics are deemed essential for determining model fitness and reliability. The review underscores the need for interdisciplinary collaboration, methodological rigor, and continuous innovation to advance ML in groundwater management. By addressing these challenges and implementing solutions, the full potential of ML can be harnessed to tackle complex environmental issues and ensure sustainable groundwater management. This comprehensive and critical review paper can serve as a guiding framework to establish minimum standards for developing ML in groundwater quality studies.
Collapse
Affiliation(s)
- Juan Antonio Torres-Martínez
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterrey, Eugenio Garza Sada 2501, Monterrey, NL 64849, Mexico
| | - Jürgen Mahlknecht
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterrey, Eugenio Garza Sada 2501, Monterrey, NL 64849, Mexico.
| | - Manish Kumar
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Campus Monterrey, Eugenio Garza Sada 2501, Monterrey, NL 64849, Mexico; School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India
| | - Frank J Loge
- Department of Civil and Environmental Engineering, University of California Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Dugin Kaown
- School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Republic of Korea
| |
Collapse
|
2
|
Cordeiro CA, Aued AW, Barros F, Bastos AC, Bender M, Mendes TC, Creed JC, Cruz IC, Dias MS, Fernandes LD, Coutinho R, Gonçalves JE, Floeter SR, Mello-Fonseca J, Freire AS, Gherardi DF, Gomes LE, Lacerda F, Martins RL, Longo GO, Mazzuco AC, Menezes R, Muelbert JH, Paranhos R, Quimbayo JP, Valentin JL, Ferreira CE. Long-term monitoring projects of Brazilian marine and coastal ecosystems. PeerJ 2022; 10:e14313. [PMID: 36389402 PMCID: PMC9653053 DOI: 10.7717/peerj.14313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/06/2022] [Indexed: 11/11/2022] Open
Abstract
Biodiversity assessment is a mandatory task for sustainable and adaptive management for the next decade, and long-term ecological monitoring programs are a cornerstone for understanding changes in ecosystems. The Brazilian Long-Term Ecological Research Program (PELD) is an integrated effort model supported by public funds that finance ecological studies at 34 locations. By interviewing and compiling data from project coordinators, we assessed monitoring efforts, targeting biological groups and scientific production from nine PELD projects encompassing coastal lagoons to mesophotic reefs and oceanic islands. Reef environments and fish groups were the most often studied within the long-term projects. PELD projects covered priority areas for conservation but missed sensitive areas close to large cities, as well as underrepresenting ecosystems on the North and Northeast Brazilian coast. Long-term monitoring projects in marine and coastal environments in Brazil are recent (<5 years), not yet integrated as a network, but scientifically productive with considerable relevance for academic and human resources training. Scientific production increased exponentially with project age, despite interruption and shortage of funding during their history. From our diagnosis, we recommend some actions to fill in observed gaps, such as: enhancing projects' collaboration and integration; focusing on priority regions for new projects; broadening the scope of monitored variables; and, maintenance of funding for existing projects.
Collapse
Affiliation(s)
- Cesar A.M.M. Cordeiro
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Ciências Ambientais, Universidade Estadual do Norte Fluminense, Campos dos Goytacazes, Rio de Janeiro, Brazil
| | - Anaide W. Aued
- PELD Ilhas Oceânicas Brasileiras, Memorial University of Newfoundland, St John’s, Newfoundland, Canada
| | - Francisco Barros
- Laboratório de Ecologia Bentônica, IBIO & CIEnAM & INCT IN-TREE, Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Alex C. Bastos
- PELD Abrolhos, Departamento de Oceanografia, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Mariana Bender
- PELD Ilhas Oceânicas Brasileiras, Marine Macroecology and Conservation Lab, Universidade Federal de Santa Maria, Santa Maria, Rio Grande do Sul, Brazil
| | - Thiago C. Mendes
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Ecologia e Conservação de Ambientes Recitais, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil,PELD Ilhas Oceânicas Brasileiras, Instituto do Mar, Universidade Federal de São Paulo, Santos, São Paulo, Brazil
| | - Joel C. Creed
- Departamento de Ecologia, Instituto de Biologia Roberto Alcântara Gomes, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Igor C.S. Cruz
- Laboratório de Oceanografia Biológica, Departamento de Oceanografia, Instituto de Geociências da Universidade Federal da Bahia, Salvador, Bahia, Brazil
| | - Murilo S. Dias
- PELD Ilhas Oceânicas Brasileiras, Departamento de Ecologia, Universidade de Brasília, Brasília, Distrito Federal, Brazil
| | - Lohengrin D.A. Fernandes
- PELD Ressurgência de Cabo Frio, Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM), Arraial do Cabo, Rio de Janeiro, Brazil
| | - Ricardo Coutinho
- PELD Ressurgência de Cabo Frio, Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM), Arraial do Cabo, Rio de Janeiro, Brazil
| | - José E.A. Gonçalves
- PELD Ressurgência de Cabo Frio, Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM), Arraial do Cabo, Rio de Janeiro, Brazil
| | - Sergio R. Floeter
- PELD Ilhas Oceânicas Brasileiras, Marine Macroecology and Biogeography Lab, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Juliana Mello-Fonseca
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Ecologia e Conservação de Ambientes Recitais, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
| | - Andrea S. Freire
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Crustáceos e Plâncton, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Douglas F.M. Gherardi
- PELD Ilhas Oceânicas Brasileiras, Laboratory of Ocean and Atmosphere Studies (LOA), Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, São Paulo, Brazil
| | - Luiz E.O. Gomes
- PELD Habitats Costeiros do Espírito Santo, Grupo de Ecologia Bêntica, Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Fabíola Lacerda
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasília, Distrito Federal, Brazil
| | - Rodrigo L. Martins
- PELD Restingas e Lagoas Costeiras do norte do Estado do Rio de Janeiro, Instituto de Biodiversidade e Sustentabilidade (NUPEM), Universidade Federal do Rio de Janeiro, Macaé, Rio de Janeiro, Brazil
| | - Guilherme O. Longo
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Ecologia Marinha, Departamento de Oceanografia e Limnologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Ana Carolina Mazzuco
- PELD Habitats Costeiros do Espírito Santo, Grupo de Ecologia Bêntica, Departamento de Oceanografia e Ecologia, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Rafael Menezes
- PELD Ressurgência de Cabo Frio, Instituto de Estudos do Mar Almirante Paulo Moreira (IEAPM), Arraial do Cabo, Rio de Janeiro, Brazil
| | - José H. Muelbert
- PELD Estuário da Lagoa dos Patos e Costa Marinha Adjacente, Instituto de Oceanografia, Universidade Federal do Rio Grande, Rio Grande, Rio Grande do Sul, Brazil
| | - Rodolfo Paranhos
- PELD Baía de Guanabara, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Juan P. Quimbayo
- PELD Ilhas Oceânicas Brasileiras, Centro de Biologia Marinha, Universidade de São Paulo, São Sebastião, São Paulo, Brazil
| | - Jean L. Valentin
- PELD Baía de Guanabara, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Carlos E.L. Ferreira
- PELD Ilhas Oceânicas Brasileiras, Laboratório de Ecologia e Conservação de Ambientes Recitais, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil
| |
Collapse
|
3
|
Normyle A, Doran B, Vardon M, Mathews D, Melbourne J. Land cover and fire accounts to support Indigenous land management: A pilot study of Yawuru Country. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 313:115003. [PMID: 35413652 DOI: 10.1016/j.jenvman.2022.115003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 02/25/2022] [Accepted: 03/29/2022] [Indexed: 06/14/2023]
Abstract
Ecosystem accounting is emerging as a promising tool for environmental management by offering consistent information about ecosystem change over time. Via a United Nations process, ecosystem accounting has been standardised in the System of Environmental-Economic Accounting (SEEA). However, there are currently no examples of ecosystem accounts developed specifically to support Indigenous people's management of land or sea. More than 40% (3 million square kilometres) of Australia's land and sea territory has Indigenous Title. If Indigenous managers are to use ecosystem accounting, then it is essential for them to be involved in its development. We assessed how ecosystem accounts can be developed and applied in a manner that supports the management objectives of Indigenous owners and managers. Working collaboratively with the Yawuru Traditional Owners of the land and sea country around Broome, Western Australia, we constructed and assessed experimental ecosystem accounts for land cover and fire for the period 2000-2020. Three key benefits of ecosystem accounts for supporting the priorities of Yawuru managers were identified: (1) flexibility in the units used for the analysis; (2) the extended time scale of the accounts; and (3) the emphasis on consistent capturing and reporting of data. We also identified the need for further work to incorporate cultural knowledge and values within the broader SEEA, with implications for the recognition of Indigenous people, knowledge and values within accounting systems globally.
Collapse
Affiliation(s)
- Anna Normyle
- Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia, 2601.
| | - Bruce Doran
- Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia, 2601
| | - Michael Vardon
- Fenner School of Environment and Society, The Australian National University, Canberra, ACT, Australia, 2601
| | - Dean Mathews
- Nyamba Buru Yawuru, 55 Reid Rd, Broome, WA, Australia, 6726
| | | |
Collapse
|
4
|
Campbell DL, Thessen AE, Ries L. A novel curation system to facilitate data integration across regional citizen science survey programs. PeerJ 2020; 8:e9219. [PMID: 32821528 PMCID: PMC7395600 DOI: 10.7717/peerj.9219] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 04/28/2020] [Indexed: 11/20/2022] Open
Abstract
Integrative modeling methods can now enable macrosystem-level understandings of biodiversity patterns, such as range changes resulting from shifts in climate or land use, by aggregating species-level data across multiple monitoring sources. This requires ensuring that taxon interpretations match up across different sources. While encouraging checklist standardization is certainly an option, coercing programs to change species lists they have used consistently for decades is rarely successful. Here we demonstrate a novel approach for tracking equivalent names and concepts, applied to a network of 10 regional programs that use the same protocols (so-called “Pollard walks”) to monitor butterflies across America north of Mexico. Our system involves, for each monitoring program, associating the taxonomic authority (in this case one of three North American butterfly fauna treatments: Pelham, 2014; North American Butterfly Association, Inc., 2016; Opler & Warren, 2003) that shares the most similar overall taxonomic interpretation to the program’s working species list. This allows us to define each term on each program’s list in the context of the appropriate authority’s species concept and curate the term alongside its authoritative concept. We then aligned the names representing equivalent taxonomic concepts among the three authorities. These stepping stones allow us to bridge a species concept from one program’s species list to the name of the equivalent in any other program, through the intermediary scaffolding of aligned authoritative taxon concepts. Using a software tool we developed to access our curation system, a user can link equivalent species concepts between data collecting agencies with no specialized knowledge of taxonomic complexities.
Collapse
Affiliation(s)
- Dana L Campbell
- Division of Biological Sciences, School of STEM, University of Washington, Bothell, WA, USA
| | - Anne E Thessen
- The Ronin Institute for Independent Scholarship, Montclair, NJ, USA.,Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
| | - Leslie Ries
- Department of Biology, Georgetown University, Washington, DC, USA
| |
Collapse
|
5
|
Musche M, Adamescu M, Angelstam P, Bacher S, Bäck J, Buss HL, Duffy C, Flaim G, Gaillardet J, Giannakis GV, Haase P, Halada L, Kissling WD, Lundin L, Matteucci G, Meesenburg H, Monteith D, Nikolaidis NP, Pipan T, Pyšek P, Rowe EC, Roy DB, Sier A, Tappeiner U, Vilà M, White T, Zobel M, Klotz S. Research questions to facilitate the future development of European long-term ecosystem research infrastructures: A horizon scanning exercise. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 250:109479. [PMID: 31499467 DOI: 10.1016/j.jenvman.2019.109479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 08/23/2019] [Accepted: 08/25/2019] [Indexed: 06/10/2023]
Abstract
Distributed environmental research infrastructures are important to support assessments of the effects of global change on landscapes, ecosystems and society. These infrastructures need to provide continuity to address long-term change, yet be flexible enough to respond to rapid societal and technological developments that modify research priorities. We used a horizon scanning exercise to identify and prioritize emerging research questions for the future development of ecosystem and socio-ecological research infrastructures in Europe. Twenty research questions covered topics related to (i) ecosystem structures and processes, (ii) the impacts of anthropogenic drivers on ecosystems, (iii) ecosystem services and socio-ecological systems and (iv), methods and research infrastructures. Several key priorities for the development of research infrastructures emerged. Addressing complex environmental issues requires the adoption of a whole-system approach, achieved through integration of biotic, abiotic and socio-economic measurements. Interoperability among different research infrastructures needs to be improved by developing standard measurements, harmonizing methods, and establishing capacities and tools for data integration, processing, storage and analysis. Future research infrastructures should support a range of methodological approaches including observation, experiments and modelling. They should also have flexibility to respond to new requirements, for example by adjusting the spatio-temporal design of measurements. When new methods are introduced, compatibility with important long-term data series must be ensured. Finally, indicators, tools, and transdisciplinary approaches to identify, quantify and value ecosystem services across spatial scales and domains need to be advanced.
Collapse
Affiliation(s)
- Martin Musche
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, 06120, Halle, Germany.
| | - Mihai Adamescu
- University of Bucharest, Research Center for Systems Ecology and Sustainability, Spl. Independentei 91 - 95, 050095, Bucharest, Romania
| | - Per Angelstam
- School for Forest Management, Swedish University of Agricultural Sciences, PO Box 43, SE-739 21, Skinnskatteberg, Sweden
| | - Sven Bacher
- Department of Biology, University of Fribourg, Chemin du Musée 10, CH-1700, Fribourg, Switzerland
| | - Jaana Bäck
- Institute for Atmospheric and Earth System Research/Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, P.O.Box 27, 00014, University of Helsinki, Finland
| | - Heather L Buss
- School of Earth Sciences, University of Bristol, Wills Memorial Building, Queen's Road, Bristol, BS8 1RJ, United Kingdom
| | - Christopher Duffy
- Department of Civil & Environmental Engineering, The Pennsylvania State University, 212 Sackett, University Park, PA, 16802, USA
| | - Giovanna Flaim
- Department of Sustainable Agro-ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, 38010, San Michele all'Adige, Italy
| | - Jerome Gaillardet
- CNRS and Institut de Physique du Globe de Paris, 1 rue Jussieu, 75238, Paris, cedex 05, France
| | - George V Giannakis
- School of Environmental Engineering, Technical University of Crete, University Campus, 73100, Chania, Greece
| | - Peter Haase
- Senckenberg Research Institute and Natural History Museum Frankfurt, Department of River Ecology and Conservation, Clamecystr. 12, 63571, Gelnhausen, Germany; University of Duisburg-Essen, Faculty of Biology, 45141, Essen, Germany
| | - Luboš Halada
- Institute of Landscape Ecology SAS, Branch Nitra, Akademicka 2, 949 10, Nitra, Slovakia
| | - W Daniel Kissling
- Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, P.O. Box 94248, 1090, GE Amsterdam, The Netherlands
| | - Lars Lundin
- Swedish University of Agricultural Sciences, P.O. Box 7050, SE-750 07, Uppsala, Sweden
| | - Giorgio Matteucci
- National Research Council of Italy, Institute for Agricultural and Forestry Systems in the Mediterranean (CNR-ISAFOM), Via Patacca, 85 I-80056, Ercolano, NA, Italy
| | - Henning Meesenburg
- Northwest German Forest Research Institute, Grätzelstr. 2, 37079, Göttingen, Germany
| | - Don Monteith
- Centre for Ecology & Hydrology, Lancaster, LA1 4AP, UK
| | - Nikolaos P Nikolaidis
- School of Environmental Engineering, Technical University of Crete, University Campus, 73100, Chania, Greece
| | - Tanja Pipan
- ZRC SAZU Karst Research Institute, Titov trg 2, SI-6230, Postojna, Slovenia; UNESCO Chair on Karst Education, University of Nova Gorica, Glavni trg 8, SI-5271, Vipava, Slovenia
| | - Petr Pyšek
- The Czech Academy of Sciences, Institute of Botany, Department of Invasion Ecology, CZ-252 43, Průhonice, Czech Republic; Department of Ecology, Faculty of Science, Charles University, Viničná 7, CZ-128 44, Prague, Czech Republic
| | - Ed C Rowe
- Centre for Ecology & Hydrology, Bangor, LL57 4NW, UK
| | - David B Roy
- Centre for Ecology & Hydrology, Wallingford, OX10 8EF, UK
| | - Andrew Sier
- Centre for Ecology & Hydrology, Lancaster, LA1 4AP, UK
| | - Ulrike Tappeiner
- Department of Ecology, University of Innsbruck, Sternwartestrasse 15, 6020, Innsbruck, Austria; Eurac research, Viale Druso 1, 39100, Bozen/Bolzano, Italy
| | - Montserrat Vilà
- Estación Biológica de Doñana-Consejo Superior de Investigaciones Científicas (EBD-CSIC), Avda. Américo Vespucio 26, Isla de la Cartuja, 41005, Sevilla, Spain
| | - Tim White
- Earth and Environmental Systems Institute, 2217 EES Building, The Pennsylvania State University, University Park, PA, 16828, USA
| | - Martin Zobel
- Institute of Ecology and Earth Sciences, University of Tartu, Lai St.40, Tartu, 51005, Estonia
| | - Stefan Klotz
- Helmholtz Centre for Environmental Research - UFZ, Department of Community Ecology, Theodor-Lieser-Str. 4, 06120, Halle, Germany
| |
Collapse
|
6
|
Kahiluoto J, Hirvonen J, Näykki T. Automatic real-time uncertainty estimation for online measurements: a case study on water turbidity. ENVIRONMENTAL MONITORING AND ASSESSMENT 2019; 191:259. [PMID: 30941608 PMCID: PMC6445822 DOI: 10.1007/s10661-019-7374-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 03/07/2019] [Indexed: 06/09/2023]
Abstract
Continuous sensor measurements are becoming an important tool in environmental monitoring. However, the reliability of field measurements is still too often unknown, evaluated only through comparisons with laboratory methods or based on sometimes unrealistic information from the measuring device manufacturers. A water turbidity measurement system with automatic reference sample measurement and measurement uncertainty estimation was constructed and operated in laboratory conditions to test an approach that utilizes validation and quality control data for automatic measurement uncertainty estimation. Using validation and quality control data for measurement uncertainty estimation is a common practice in laboratories and, if applied to field measurements, could be a way to enhance the usability of field sensor measurements. The measurement system investigated performed replicate measurements of turbidity in river water and measured synthetic turbidity reference solutions at given intervals during the testing period. Measurement uncertainties were calculated for the results using AutoMUkit software and uncertainties were attached to appropriate results. The measurement results correlated well (R2 = 0.99) with laboratory results and the calculated measurement uncertainties were 0.8-2.1 formazin nephelometric units (FNU) (k = 2) for 1.2-5 FNU range and 11-27% (k = 2) for 5-40 FNU range. The measurement uncertainty estimation settings (such as measurement range selected and a number of replicates) provided by the user have a significant effect on the calculated measurement uncertainties. More research is needed especially on finding suitable measurement uncertainty estimation intervals for different field conditions. The approach presented is also applicable for other online measurements besides turbidity within limits set by available measurement devices and stable reference solutions. Potentially interesting areas of application could be the measurement of conductivity, pH, chemical oxygen demand (COD)/total organic carbon (TOC), or metals.
Collapse
Affiliation(s)
- Joonas Kahiluoto
- Environmental Measurement and Testing Laboratory, Finnish Environment Institute, Ultramariinikuja 4, 00430, Helsinki, Finland.
| | - Jukka Hirvonen
- Environmental Measurement and Testing Laboratory, Finnish Environment Institute, Yliopistokatu 7, 80100, Joensuu, Finland
| | - Teemu Näykki
- Environmental Measurement and Testing Laboratory, Finnish Environment Institute, Ultramariinikuja 4, 00430, Helsinki, Finland
| |
Collapse
|
7
|
Hewitt JE, Thrush SF. Monitoring for tipping points in the marine environment. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 234:131-137. [PMID: 30616184 DOI: 10.1016/j.jenvman.2018.12.092] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 12/19/2018] [Accepted: 12/23/2018] [Indexed: 06/09/2023]
Abstract
Increasingly studies are reporting sudden and dramatic changes in the structure and function of communities or ecosystems. The prevalence of these reports demonstrates the importance for management of being able to detect whether these have happened and, preferably, whether they are likely to occur. Ecological theory provides the rationale for why such changes occur and a variety of statistical indicators of approach that have generic properties have been developed. However, whether the theory has successfully translated into monitoring programmes is unknown. We searched the literature for guidelines that would drive design of monitoring programmes able to detect past and approaching tipping points and analysed marine monitoring programmes in New Zealand. We found very few guidelines in the ecological, environmental or monitoring literature, although both simulation and marine empirical studies suggest that within-year sampling increases the likelihood of detecting approaching tipping points. The combination of the need to monitor both small and medium scale temporal dynamics of multiple variables to detect tipping points meant that few marine monitoring programmes in New Zealand were fit for that purpose. Interestingly, we found many marine examples of studies detecting past and approaching TP with fewer data than was common in the theoretical literature. We, therefore, suggest that utilizing ecological knowledge is of paramount importance in designing and analyzing time-series monitoring for tipping points and increasing the certainty for short-term or infrequent datasets of whether a tipping point has occurred. As monitoring plays an important role in management of tipping points by providing supporting information for other locations about when and why a tipping point may occur, we believe that monitoring for tipping points should be promoted.
Collapse
Affiliation(s)
- Judi E Hewitt
- NIWA, Gate 10 Silverdale Rd, Hamilton, New Zealand; University of Auckland, Auckland, New Zealand. j.hewitt@niwa..co.nz
| | | |
Collapse
|
8
|
Montefalcone M, Morri C, Bianchi CN. Long-term change in bioconstruction potential of Maldivian coral reefs following extreme climate anomalies. GLOBAL CHANGE BIOLOGY 2018; 24:5629-5641. [PMID: 30194747 DOI: 10.1111/gcb.14439] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 08/17/2018] [Accepted: 08/24/2018] [Indexed: 06/08/2023]
Abstract
Global climate change has increased the frequency and intensity of extreme heat anomalies and consequent mass coral bleaching events. Long-term dynamics of hard coral cover, bioconstruction potential, carbonate deposition, and reef accretion was monitored over a 20-year period on Maldivian coral reefs in order to investigate the effects of high-temperature anomalies on coral reef accretion and their recovery potential. Changes experienced by shallow reefs between 1997 and 2017 were evaluated by considering five different bioconstructional guilds and the BioConstruction Potential index (BCP), a proxy for the constructional capacity of reefs. Abnormally high temperatures in 1998 and 2016 led to severe coral bleaching and consequent mortality, especially of the primary builders. Renewed carbonate deposition was not documented until 2-3 years after the bleaching, and 6-9 years passed until constratal (i.e., low relief) growth was achieved. Finally, 14-16 years were required to reach accretion rates high enough to ensure superstratal (i.e., high relief) growth. Coral mortality in the Maldives during the 2016 bleaching event was lower than in 1998, and the initial recovery was faster and occurred via a different trajectory than in 1998. Rising levels of anthropogenic carbon emissions are predicted to accelerate sea level rise and trigger severe coral bleaching events at least twice per decade, a frequency that will (a) prevent coral recovery, (b) nullify reef accretion, and consequently, (c) result in the drowning of Maldivian reefs under the worst climate projections.
Collapse
Affiliation(s)
- Monica Montefalcone
- DiSTAV, Department of Earth, Environmental and Life Sciences, University of Genoa, Genoa, Italy
| | - Carla Morri
- DiSTAV, Department of Earth, Environmental and Life Sciences, University of Genoa, Genoa, Italy
| | - Carlo Nike Bianchi
- DiSTAV, Department of Earth, Environmental and Life Sciences, University of Genoa, Genoa, Italy
| |
Collapse
|
9
|
Bevilacqua S, Mistri M, Terlizzi A, Munari C. Assessing the effectiveness of surrogates for species over time: Evidence from decadal monitoring of a Mediterranean transitional water ecosystem. MARINE POLLUTION BULLETIN 2018; 131:507-514. [PMID: 29886976 DOI: 10.1016/j.marpolbul.2018.04.047] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/06/2018] [Accepted: 04/18/2018] [Indexed: 06/08/2023]
Abstract
The use of higher taxa or alternative approach to species surrogacy, such as the BestAgg procedure, could represent cost-effective solutions to avoid expensive species-level identifications in monitoring activities, especially on the long term. However, whether a set of surrogates would be effective in subsequent reiteration of the same assessment remains largely unsolved. We used a long-term dataset on macro-benthic assemblages to test the hypothesis that family-level and BestAgg surrogates which are effective for a limited period of monitoring could be successfully applied to quantify community patterns also in subsequent monitoring programmes. The effectiveness of surrogates in detecting temporal variations in assemblage structure as at species level remained basically unaffected over a decade. Recognizing once and for all if species surrogacy may have a practical value for monitoring will strongly depend on future assessments of the potential of surrogates to reflect community changes and to retain this prerogative over time.
Collapse
Affiliation(s)
- S Bevilacqua
- Laboratory of Zoology and Marine Biology, Department of Biological and Environmental Sciences and Technologies, University of Salento, 73100 Lecce, Italy; CoNiSMa, Piazzale Flaminio 9, 00196 Roma, Italy.
| | - M Mistri
- Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy
| | - A Terlizzi
- Department of Life Sciences, University of Trieste, 34127 Trieste, Italy; Stazione Zoologica Anton Dohrn, 80121 Napoli, Italy; CoNiSMa, Piazzale Flaminio 9, 00196 Roma, Italy
| | - C Munari
- Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy
| |
Collapse
|
10
|
Montefalcone M, De Falco G, Nepote E, Canessa M, Bertolino M, Bavestrello G, Morri C, Bianchi CN. Thirty year ecosystem trajectories in a submerged marine cave under changing pressure regime. MARINE ENVIRONMENTAL RESEARCH 2018; 137:98-110. [PMID: 29548762 DOI: 10.1016/j.marenvres.2018.02.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/16/2018] [Accepted: 02/18/2018] [Indexed: 05/26/2023]
Abstract
Marine caves are unique and vulnerable habitats exhibiting high biodiversity and heterogeneity, but threatened by multiple global and local disturbances. Marine caves, although widely distributed along the Mediterranean coast, suffer for the lack of quantitative data on their structure and function, which hinder their conservation status assessment. Thanks to the availability of a nearly 30-year-long series of data (1986-2013), we evaluated ecosystem change in the Bergeggi marine cave (Ligurian Sea, NW Mediterranean), a cave with a complex shape and high habitat heterogeneity. Non-taxonomic descriptors were adopted, namely growth forms (GF) and trophic guilds (TG), which are informative about ecosystem structure and functioning, respectively. The cave experienced a general trend of change during the last three decades, mainly due to the decline in the cover of sessile organisms (especially 3-dimensional forms) matched by an increase of turf and sediment, thus causing the structural and functional homogenization of the cave community. While change before 2004 had been attributed to climatic factors (especially to the summer heat waves of 1999 and 2003), the most important rate of change was observed between 2009 and 2013, coinciding with recent major beach nourishments and the extension of the neighbouring Vado Ligure harbour, thus providing evidences on the importance of local disturbances deriving from coastal interventions. Monitoring the status of cave ecosystems is urgently needed, and the use of effective indicators, such as the specific traits here adopted (morphology and feeding strategy), could provide effective tools to assist marine cave conservation.
Collapse
Affiliation(s)
- Monica Montefalcone
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy.
| | - Giada De Falco
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| | - Ettore Nepote
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy; Department of Environment and Life Sciences, Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy
| | - Martina Canessa
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| | - Marco Bertolino
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| | - Giorgio Bavestrello
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| | - Carla Morri
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| | - Carlo Nike Bianchi
- DiSTAV, Department of Earth, Environment and Life Sciences, University of Genoa, Corso Europa 26, Genova, Italy
| |
Collapse
|