The Second Year of the United Nations Convention on Biological Diversity

2019 ◽  
pp. 401-406
Author(s):  
Catherine Tinker
2021 ◽  
Author(s):  
Jeremy Simmonds ◽  
Amrei von Hase ◽  
Fabien Quétier ◽  
Susie Brownlie ◽  
Martine Maron ◽  
...  

Increasingly, government and corporate policies on ecological compensation (e.g. offsetting) are requiring ‘net gain’ outcomes for biodiversity. This presents an opportunity to align development with the United Nations Convention on Biological Diversity Post-2020 Global Biodiversity Framework’s (GBF) ambition for overall biodiversity recovery. In this perspective, we describe three conditions that should be accounted for in establishing or revising net gain policies to align their outcomes with the Post-2020 GBF: namely, a requirement for residual losses from development to be compensated for by (1) absolute gains, which are (2) scaled to the achievement of explicit biodiversity targets, where (3) gains are ecologically feasible. We show that few current policies meet these conditions, and thus we demonstrate a major disconnect between existing biodiversity net gain approaches and the achievement of the Post-2020 GBF milestones and goals. We conclude by describing how this gap can be bridged through a novel ecological compensation framework.


2021 ◽  
Author(s):  
Thomas Haevermans ◽  
Jessica Tressou ◽  
Joon Kwon ◽  
Roseli Pellens ◽  
Anne Dubéarnès ◽  
...  

Curbing biodiversity loss and its impact on ecosystem services, resilience and Nature's Contributions to People is one of the main challenges of our generation (IPBES, 2019b, 2019a; Secretariat of the United Nations Convention on Biological Diversity, 2020). A global baseline assessment of the threat status of all of biodiversity is crucial to monitor the progress of conservation policies worldwide (Mace & al., 2000; Secretariat of the United Nations Convention on Biological Diversity, 2021) and target priority areas for conservation (Walker & al., 2021). However, the magnitude of the task seems insurmountable, as even listing the organisms already known to science is a challenge (Nic Lughadha & al., 2016; Borsch & al., 2020; Govaerts & al., 2021). A new approach is needed to overcome this stumbling block and scale-up the assessment of extinction risk. Here we show that analyses of natural history mega-datasets using artificial intelligence allows us to predict a baseline conservation status for all vascular plants and identify target areas for conservation corresponding to hotspots optimally capturing different aspects of biodiversity. We illustrate the strong potential of AI-based methods to reliably predict extinction risk on a global scale. Our approach not only retrieved recognized biodiversity hotspots but identified new areas that may guide future global conservation action (Myers & al., 2000; Brooks & al., 2006). To further work in this area and guide the targets of the post-2020 biodiversity framework (Díaz & al., 2020a; Secretariat of the United Nations Convention on Biological Diversity, 2020; Mair & al., 2021), it will be necessary to accelerate the acquisition of fundamental data and allow inclusion of social and economic factors (Possingham & Wilson, 2005).


2006 ◽  
Vol 27 (1) ◽  
pp. 16
Author(s):  
Junko Shimura ◽  
Kaduo Hiraki

The Global Taxonomy Initiative (GTI) is across cutting issue of the United Nations Convention on Biological Diversity (CBD) to address the lack of taxonomic information and expertise available in many parts of the world, and thereby to improve decision making in conservation, sustainable use and equitable sharing of the benefits derived from genetic resources.


2018 ◽  
Vol 124 (4) ◽  
pp. 591-604 ◽  
Author(s):  
Lin S Huang ◽  
Richard Flavell ◽  
Iain S Donnison ◽  
Yu-Chung Chiang ◽  
Astley Hastings ◽  
...  

Abstract Background and Aims Germplasm with diverse, agronomically relevant traits forms the foundation of a successful plant breeding programme. Since 1993, the United Nations has been advocating the implementation of the Convention on Biological Diversity (CBD) and the subsequent 2002 Bonn Guidelines as international best practice on germplasm collection and use. In 2006, a European team made an expedition to Asia to collect wild germplasm of Miscanthus, a C4 perennial rhizomatous grass, for breeding an environmentally adaptable, resilient and high-yielding bioenergy crop. We outline general aspects of germplasm collection, conservation, breeding and biomass production evaluation while following the CBD’s guidelines, respecting biodiversity and conservation needs, and the ethical use of genetic resources. Methods Effective protocols, quarantine, methods for collecting seed and rhizomes, and a genebank for conservation were established. Versatile informatics and database architecture were used to assist in selection, flowering synchronization, crossing, evaluation, phenotyping and data integration. Approaches were formulated to comply with the CBD guidelines. Key Results A total of 303 accessions of M. sinensis, M. sacchariflorus and M. floridulus were collected from 158 geographically and environmentally diverse locations. These species were shown to accumulate different amounts of aerial biomass due to combinations of stem count, height and thickness. Progeny from one interspecies cross accumulated more biomass in early trials and has shown double the yield performance in years 3–4 compared with the existing commercial cultivar M. × giganteus. An example of an F1 hybrid has already demonstrated the long-term potential of exploiting this collection for a breeding programme. Conclusions By conforming to the CBD principles, the authors’ international collaboration provides a practical example of implementing the CBD. The collection widened the genetic diversity of Miscanthus available to allow for breeding of novel hybrids that exhibit more diverse traits to increase yield and resilience for growth on marginal land and in climate-challenged environments.


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