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Institution

International Union for Conservation of Nature and Natural Resources

NonprofitDhaka, Bangladesh
About: International Union for Conservation of Nature and Natural Resources is a nonprofit organization based out in Dhaka, Bangladesh. It is known for research contribution in the topics: Biodiversity & Population. The organization has 1317 authors who have published 1870 publications receiving 97588 citations.


Papers
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Journal ArticleDOI
TL;DR: The study demonstrates the value of integrating major invasion data bases to help managers and policymakers reach robust conclusions about patterns in introduction pathways and thus aid effective prevention and prioritisation in invasion management.
Abstract: 1. Preventing the arrival of invasive alien species (IAS) is a major priority in managing biological invasions. However, information on introduction pathways is currently scattered across many data bases that often use different categorisations to describe similar pathways. This hampers the identification and prioritisation of pathways to meet the main targets of recent environmental policies. 2. Therefore, we integrate pathway information from two major IAS data bases, IUCN's Global Invasive Species Database (GISD) and the DAISIE European Invasive Alien Species Gateway, applying the new standard categorisation scheme recently adopted by the Convention on Biological Diversity (CBD). We describe the process of mapping pathways from the individual data bases to the CBD scheme and provide, for the first time, detailed descriptions of the standard pathway categories. The combined data set includes pathway information for 8323 species across major taxonomic groups (plants, vertebrates, invertebrates, algae, fungi, other) and environments (terrestrial, freshwater, marine). 3. We analyse the data for major patterns in the introduction pathways, highlighting that the specific research question and context determines whether the combined or an individual data set is the better information source for such analyses. While the combined data set provides an improved basis for direction-setting in invasion management policies on the global level, individual data sets often better reflect regional idiosyncrasies. The combined data set should thus be considered in addition to, rather than replacing, existing individual data sets. 4.Pathway patterns derived from the combined and individual data sets show that the intentional pathways ‘Escape’ and ‘Release’ are most important for plants and vertebrates, while for invertebrates, algae, fungi and micro-organisms unintentional transport pathways prevail. Differences in pathway proportions among marine, freshwater and terrestrial environments are much less pronounced. The results also show that IAS with highest impacts in Europe are on average associated with a greater number of pathways than other alien species and are more frequently introduced both intentionally and unintentionally. 5. Synthesis and applications. Linking data bases on invasive alien species by harmonising and consolidating their pathway information is essential to turn dispersed data into useful knowledge. The standard pathway categorisation scheme recently adopted by the Convention on Biological Diversity may be crucial to facilitate this process. Our study demonstrates the value of integrating major invasion data bases to help managers and policymakers reach robust conclusions about patterns in introduction pathways and thus aid effective prevention and prioritisation in invasion management.

88 citations

Journal ArticleDOI
TL;DR: Planned dam locations are classified according to their potential impact on freshwater megafauna species at different spatial scales, attention to potential conflicts between climate mitigation and biodiversity conservation are highlighted, and priorities for freshwater management are recommended.
Abstract: Dam construction comes with severe social, economic and ecological impacts. From an ecological point of view, habitat types are altered and biodiversity is lost. Thus, to identify areas that deserve major attention for conservation, existing and planned locations for (hydropower) dams were overlapped, at global extent, with the contemporary distribution of freshwater megafauna species with consideration of their respective threat status. Hydropower development will disproportionately impact areas of high freshwater megafauna richness in South America, South and East Asia, and the Balkan region. Sub-catchments with a high share of threatened species are considered to be most vulnerable; these are located in Central America, Southeast Asia and in the regions of the Black and Caspian Sea. Based on this approach, planned dam locations are classified according to their potential impact on freshwater megafauna species at different spatial scales, attention to potential conflicts between climate mitigation and biodiversity conservation are highlighted, and priorities for freshwater management are recommended.

88 citations

Journal ArticleDOI
TL;DR: In this paper, the International Seabed Authority requires an EIA for deep-sea mining (DSM) in areas beyond national jurisdiction (the Area), but the existing regulations present only a portion of a robust EIA process.

87 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used a Bayesian state-space surplus-production model to describe the Hawaiian green sea turtle population dynamics given limited data and uncertainty about sea turtle demography.

87 citations

Journal ArticleDOI
TL;DR: The authors compared the IUCN Red List of threatened species with the national red lists of four countries (Brazil, Colombia, China, and the Philippines) and found notable differences falling into three categories: (1) a number of species (an average of 20% of the species pool considered in each of the four countries) have been listed nationally as threatened, but have yet to be globally assessed by the International Union for the Conservation of Nature (IUCN).

86 citations


Authors

Showing all 1320 results

NameH-indexPapersCitations
Kevin M. Smith114171178470
Ary A. Hoffmann11390755354
David W. Macdonald111110951334
Michael R. Hoffmann10950063474
Fred W. Allendorf8623034738
Edward B. Barbier8445036753
James J. Yoo8149127738
Michael William Bruford8036923635
James E. M. Watson7446123362
Brian Huntley7422528875
Brian W. Bowen7418117451
Gordon Luikart7219337564
Stuart H. M. Butchart7224526585
Thomas M. Brooks7121533724
Joshua E. Cinner6817714384
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20229
2021201
2020177
2019171
2018131
2017145