1
|
Gonzalez A, Chase JM, O'Connor MI. A framework for the detection and attribution of biodiversity change. Philos Trans R Soc Lond B Biol Sci 2023; 378:20220182. [PMID: 37246383 DOI: 10.1098/rstb.2022.0182] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/31/2023] [Indexed: 05/30/2023] Open
Abstract
The causes of biodiversity change are of great scientific interest and central to policy efforts aimed at meeting biodiversity targets. Changes in species diversity and high rates of compositional turnover have been reported worldwide. In many cases, trends in biodiversity are detected, but these trends are rarely causally attributed to possible drivers. A formal framework and guidelines for the detection and attribution of biodiversity change is needed. We propose an inferential framework to guide detection and attribution analyses, which identifies five steps-causal modelling, observation, estimation, detection and attribution-for robust attribution. This workflow provides evidence of biodiversity change in relation to hypothesized impacts of multiple potential drivers and can eliminate putative drivers from contention. The framework encourages a formal and reproducible statement of confidence about the role of drivers after robust methods for trend detection and attribution have been deployed. Confidence in trend attribution requires that data and analyses used in all steps of the framework follow best practices reducing uncertainty at each step. We illustrate these steps with examples. This framework could strengthen the bridge between biodiversity science and policy and support effective actions to halt biodiversity loss and the impacts this has on ecosystems. This article is part of the theme issue 'Detecting and attributing the causes of biodiversity change: needs, gaps and solutions'.
Collapse
Affiliation(s)
- Andrew Gonzalez
- Department of Biology, McGill University, Montreal, Canada H3A 1B1
- Quebec Centre for Biodiversity Science, Montreal, Canada H3A 1B1
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig 04103, Germany
- Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale) 06099, Germany
| | - Mary I O'Connor
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver V6T 1Z4, Canada
- Santa Fe Institute, Santa Fe, NM 87501, USA
| |
Collapse
|
2
|
Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software. JOURNAL OF ROBOTICS 2022. [DOI: 10.1155/2022/1716756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
With the continuous improvement of people’s demand for ecological environment quality, the research on ecological environment monitoring, analysis and evaluation had been paid more and more attention by relevant departments and personnel. Because the images collected by remote sensing technology were many and multi-source, the features extracted from remote sensing images using traditional methods had been difficult to meet the needs of related industry applications. Therefore, this paper made use of the advantages of PIE remote sensing image processing software in data analysis and processing, and put forward the research on ecological environment monitoring, analysis and evaluation methods. Firstly, on the basis of summarizing the concepts and related problems of ecological environment, this paper analyzed the processing methods of remote sensing data sources of ecological environment, and explained the evaluation standards and common methods of ecological environment. Secondly, the composition of PIE remote sensing image processing technology system and its application advantages were described, the common indicators and analysis methods of ecological environment monitoring were given, and the index system and model of ecological environment comprehensive evaluation were established. Finally, through the analysis of experimental cases, the results showed that the ecological environment monitoring analysis and evaluation method proposed in this paper was feasible. Compared with the traditional methods, the method proposed in this paper could objectively evaluate the ecological environment. This paper can not only provide support for the analysis and processing of remote sensing image data, but also provide an important reference for the application of remote sensing technology in the field of ecological environment.
Collapse
|
3
|
Felipe-Lucia MR, Guerrero AM, Alexander SM, Ashander J, Baggio JA, Barnes ML, Bodin Ö, Bonn A, Fortin MJ, Friedman RS, Gephart JA, Helmstedt KJ, Keyes AA, Kroetz K, Massol F, Pocock MJO, Sayles J, Thompson RM, Wood SA, Dee LE. Conceptualizing ecosystem services using social-ecological networks. Trends Ecol Evol 2021; 37:211-222. [PMID: 34969536 DOI: 10.1016/j.tree.2021.11.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/15/2021] [Accepted: 11/24/2021] [Indexed: 12/01/2022]
Abstract
Social-ecological networks (SENs) represent the complex relationships between ecological and social systems and are a useful tool for analyzing and managing ecosystem services. However, mainstreaming the application of SENs in ecosystem service research has been hindered by a lack of clarity about how to match research questions to ecosystem service conceptualizations in SEN (i.e., as nodes, links, attributes, or emergent properties). Building from different disciplines, we propose a typology to represent ecosystem service in SENs and identify opportunities and challenges of using SENs in ecosystem service research. Our typology provides guidance for this growing field to improve research design and increase the breadth of questions that can be addressed with SEN to understand human-nature interdependencies in a changing world.
Collapse
Affiliation(s)
- María R Felipe-Lucia
- Department Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany.
| | - Angela M Guerrero
- Stockholm Resilience Centre, Kräftriket 2B, 10691 Stockholm, Sweden; Queensland University of Technology, Brisbane, QLD, 4000, Australia
| | - Steven M Alexander
- Environmental Change and Governance Group, University of Waterloo, 200 University Ave. W, Waterloo, ON N2L 3G1, Canada
| | - Jaime Ashander
- Resources for the Future, 1616 P St. NW, Washington, DC 20036, USA
| | - Jacopo A Baggio
- School of Politics, Security and International Affairs, National Center for Integrated Coastal Research, 4297 Andromeda Loop N, Orlando, FL 32816, USA
| | - Michele L Barnes
- ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4810, Australia
| | - Örjan Bodin
- Stockholm Resilience Centre, Kräftriket 2B, 10691 Stockholm, Sweden
| | - Aletta Bonn
- Department Ecosystem Services, Helmholtz Centre for Environmental Research - UFZ, Permoserstraße 15, 04318 Leipzig, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstrasse 4, 04103 Leipzig, Germany; Institute of Biodiversity, Friedrich Schiller University Jena, Dornburgerstraße 159, 07743 Jena, Germany
| | - Marie-Josée Fortin
- Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada
| | - Rachel S Friedman
- Institute for Climate, Energy and Disaster Solutions, Australian National University College of Science, Building 141, Linnaeus Way, Acton, ACT, 2601, Australia
| | - Jessica A Gephart
- Department of Environmental Science, American University, 4400 Massachusetts Ave. NW, Washington, DC 20016, USA
| | - Kate J Helmstedt
- School of Mathematical Sciences, Queensland University of Technology, 2 George St., Brisbane, City, QLD, 4000, Australia
| | - Aislyn A Keyes
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Ramaley Biology, Boulder, CO 80302, USA
| | - Kailin Kroetz
- School of Sustainability, Arizona State University and Resources for the Future, PO Box 875502, Tempe, AZ 85287-5502, USA
| | - François Massol
- University of Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019, UMR 9017, Center for Infection and Immunity of Lille (CIIL), F-59000 Lille, France
| | | | - Jesse Sayles
- ORISE Postdoctoral Fellow Appointed with the US Environmental Protection Agency, Office of Research and Development, Center for Environmental Measurement and Modeling, Atlantic Coastal Environmental Sciences Division, 27 Tarzwell Dr., Narragansett, RI 02882, USA
| | - Ross M Thompson
- Centre for Applied Water Science, Institute for Applied Ecology, University of Canberra, ACT, 2617, Australia
| | - Spencer A Wood
- College of the Environment, University of Washington, Box 352100, Seattle, WA 98195, USA
| | - Laura E Dee
- School of Sustainability, Arizona State University and Resources for the Future, PO Box 875502, Tempe, AZ 85287-5502, USA
| |
Collapse
|
4
|
Bennett EM, Fraser EDG, Winkler KJ. Managing Canada’s land- and seascapes for multiple ecosystem services in the Anthropocene: introduction to the Food, Fiber, Fuel, and Function collection. Facets (Ott) 2021. [DOI: 10.1139/facets-2021-0159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Elena M. Bennett
- Department of Natural Resource Sciences and Bieler School of Environment, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada
| | - Evan D. G. Fraser
- Geography, Environment, and Geomatics and the Arrell Food Institute, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Klara Johanna Winkler
- Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada
| |
Collapse
|