Assessing the multidimensional complexity of biodiversity using a globally standardized approach
Preprint
- 26 August 2023
- preprint
- Published by California Digital Library (CDL) in EcoEvoRxiv
Abstract
Quantifying biodiversity across the globe is critical for transparent reporting and assessment under the Kunming-Montreal Global Biodiversity Framework. Understanding the full complexity of biodiversity requires consideration of the variation of life across genetic, species and ecosystem levels. Achieving this in a globally-standardized way remains a key international challenge for biodiversity monitoring efforts. Here, we present the Sustainable Ecology and Economic Development (SEED) framework, which consolidates multiple dimensions of biodiversity into a single measure of biocomplexity as a holistic estimate of the current state of nature at a given location. The SEED framework continuously integrates state-of-the-art datasets and maps of the biological variation in plants, microbes, animals, and ecosystems to estimate the local biocomplexity across the planet relative to a comparable, minimally-disturbed ‘reference’ ecosystem. The SEED framework allows an assessment of ecological health in response to positive and negative human impacts, and informs decision makers who strive to improve the global state of nature.Keywords
This publication has 65 references indexed in Scilit:
- A theoretical framework for the ecological role of three‐dimensional structural diversityFrontiers in Ecology and the Environment, 2023
- Forest ecosystem properties emerge from interactions of structure and disturbanceFrontiers in Ecology and the Environment, 2023
- Remote sensing of wildlife connectivity networks and priority locations for conservation in the Southern Agricultural Growth Corridor (SAGCOT) in TanzaniaRemote Sensing in Ecology and Conservation, 2021
- Geographical pattern of genetic diversity in Capsella bursa‐pastoris (Brassicaceae)—A global perspectiveEcology and Evolution, 2020
- Mapping complex coastal wetland mosaics in Gabon for informed ecosystem management: use of object‐based classificationRemote Sensing in Ecology and Conservation, 2020
- Relationships between plant diversity and soil microbial diversity vary across taxonomic groups and spatial scalesEcosphere, 2020
- Evaluating static and dynamic landscape connectivity modelling using a 25-year remote sensing time seriesLandscape Ecology, 2018
- The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) projectEcology and Evolution, 2016
- ThePREDICTSdatabase: a global database of how local terrestrial biodiversity responds to human impactsEcology and Evolution, 2014
- Does plantation forestry restore biodiversity or create green deserts? A synthesis of the effects of land-use transitions on plant species richnessBiodiversity and Conservation, 2010