Decomposing dark diversity affinities of species and sites using Bayesian method: what accounts for absences of species at suitable sites?

Abstract:

Locally observed biodiversity often consists of only a fraction of species expected to occur. Why some suitable species are absent, forming the dark diversity of that site, is a basic yet increasingly crucial question in the face of global biodiversity degradation. In the seminar, I will talk about a new metric, dark diversity affinity (DDA), which measures the tendencies of individual species to be absent from suitable sites and of individual sites to miss suitable species. Then I will demonstrate a newly developed framework to estimate DDA for individual species and sites, using empirical datasets of metacommunity of species presence/absence, species functional traits, and site characteristics. By identifying accountable traits and environmental conditions, this framework allows mechanical understanding of the dark diversity formations. It can further provide an answer to the question if conservation focus should be on population management (e.g. assisted dispersal, relaxing of competition), site management (e.g. prevention of forest fires, landscape restoration for better connectivity), or both.


Speaker: Dr. Junichi Fujinuma

Affiliation: University of Tartu

Time: 4:30 PM, Tuesday, Dec. 27, 2022

Venue: ZOOM 会议平台 会议 ID:312 430 8960 会议密码 PWD:666666 

ZOOM
会议 ID:312 430 8960
会议密码 PWD:666666


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