Resources
Tools & Training Materials
Tools and Training Materials
This section includes tools and basic training packages made available to broaden the knowledge of researchers, professionals and decision makers in relation to the application of the IUCN Red List of Ecosystems Categories and Criteria.
Calculation tools
| Year | Documentation | Description |
|---|---|---|
| 2020 | R scripts to calculate the Ecosystem indices to support global biodiversity conservation | Example R scripts to calculate the RLE ecosystem indices with sample data sheets. The code includes methods to calculate the three ecosystem indices presented in Rowland et al. 2020. R scripts available on the RLE GitHub. Author(s): Rowland, J.A. |
| 2017 | Conceptual Model Tool - IUCN RLE Assessments, Version 0.1 | Tool to develop conceptual models of ecosystem dynamics for their descriptions in IUCN RLE assessments. The Java programme allows creation of conceptual models with standardized symbols conforming with the Guidelines for the application of IUCN Red List of Ecosystems Categories and Criteria. The programme incorporates all threats listed in the IUCN Threats classification scheme. JavaScript required to run this program Author(s): Sangermano, F., Magee, J., Son, L., Tan, Z., Nguyen, H. & Bland, L.M. 2017. IUCN Red List of Ecosystems - Conceptual Model Tool, Version 0.1. Clark University. |
| 2017 | Global 10 x 10-km grids suitable for use in IUCN Red List of Ecosystems assessments | Global 10 x 10-km grid files for use in assessing Criterion B of the IUCN Red List of Ecosystems. Each file consists of a global grid with 5086152 individually identified grid cells. Raster data. 10000m resolution. 32 Bit unsigned integer. World Cylindrical Equal Area. IMG format for use in ArcGIS, R, Erdas Imagine etc. Vector data. World Cylindrical Equal Area. Shapefile format. Author(s): Murray, N. |
| 2017 | IUCN Red List of Ecosystems Criteria Summary Sheet | Summary of the five criteria (A-E) used to evaluate the risk status of an ecosystem, based on Version 2.2 of the IUCN Red List of Ecosystems Categories and Criteria. Author(s): Bland, L.M, Keith, D.A, Miller, R., Murray, N.J. & RodrÃguez, J.P. (eds.) |
| 2017 | REMAP: An online remote sensing application for land cover classification and monitoring | Remap is an online mapping platform for people with little technical background in remote sensing. This tool enables you to quickly develop classified maps of ecosystems for any location on Earth and report their status, contributing to a global effort to assess all ecosystems on Earth under the IUCN Red List of Ecosystems. Author(s): Murray, N., Keith, D., Simpson, D., Wilshire, J.H. & Lucas, R.M. |
| 2017 | R Tools for the IUCN Red List of Ecosystems | A toolbox created by members of the International Union for Conservation of Nature (IUCN) Red List of Ecosystems team. Primarily, it is a set of tools suitable for calculating the metrics required for conducting assessments of ecosystems against the IUCN Red List of Ecosystems Categories and Criteria. The current version focuses on spatial criteria A and B. R package available on CRAN Author(s): Lee, C. & Murray, N. |
| 2012 | Estimation of the decline in distribution of an ecosystem (Criterion A) | This application allows inferring the reduction in the distribution of an ecosystem under two possible scenarios: a constant rate of decline and a proportional one, based on information from at least two points in time. Author(s): Keith, D. A., Orscheg, C., Simpson, C. C., Clarke, P. J., Hughes, L., Kennelly, S. J., Major, R. E., Soderquist, T. R., Wilson, A. L. & Bedward, M. |
| 2012 | Estimation of the risk of Collapse of an ecosystem | This tool allows estimating the level of risk for each sub-criterion, as well as obtaining the final risk category, automatically, for each assessed ecosystem. An example of its use is included. Author(s): Keith, D. A. & Mackenzie, B. |
Training Materials
| Year | Documentation | Description |
|---|---|---|
| 2022 | The Red List of Ecosystems for Assessors - Specialised Course (IUCN Academy) | Free training course on the Red List of Ecosystems designed for individuals interested in assessing ecosystem risks and seasoned assessors seeking a comprehensive reference guide. This course will help learners understand the RLE methodology and its application in evaluating ecosystem risks. Participants will gain insights into the five criteria used in the RLE and the key definitions associated with each. The course also covers how to identify necessary indicators and data sources for RLE assessments and how to use these results to achieve tangible conservation outcomes, including ecosystem restoration. Author(s): Red List of Ecosystem partners, and the IUCN Academy. |
| 2021 | Free Open Course on FutureLearn | Free training course on the IUCN Red List of Ecosystems designed for conservation practitioners and decision-makers, as well as those with an interest in sustainability. It will help learners understand the Red List of Ecosystems approach and scientific basis, how the criteria and categories are applied, and how it can help make scientifically based decisions for policy and management practices. Author(s): Deakin University |
| 2021 | Training package* (*) Please note that this file is over 30MB, and may take a while on slow connections. | Package of presentations for the basic training on ecosystem risk assessments using the IUCN Red List of Ecosystems protocol. Please note that this material is shared to support understanding of the RLE protocol by potential assessors. However, the RLE Guidelines (Bland et al. 2017) are the main reference material to assist the correct implementation of the IUCN Red List of Ecosystems Categories and Criteria, and as such should be consulted by any potential assessor.
Author(s): RLE Thematic Group |
Tutorials
| Year | Documentation | Description |
|---|---|---|
| 2016 | Introduction to the IUCN Red List of Ecosystems Categories and Criteria. Course manual | Version 1.0 Author(s): Murray, N.J., Miller, R.M., Zager, I., Keith, D.A., Bland, L.M., Esteves, R., Oliveira-Miranda, M.A. & RodrÃguez, J.P. |