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In conservation biology, latent extinction risk is a measure of the potential for a species to become threatened.. Latent risk can most easily be described as the difference, or discrepancy, between the current observed extinction risk of a species (typically as quantified by the IUCN Red List) and the theoretical extinction risk of a species predicted by its biological or life history ...
Local extinction, also extirpation, is the termination of a species (or other taxon) in a chosen geographic area of study, though it still exists elsewhere. Local extinctions are contrasted with global extinctions. [1] [2] Local extinctions mark a change in the ecology of an area.
By the turn of the 21st century, the Iberian lynx was on the verge of extinction, as only 94 individuals survived in two isolated subpopulations in Andalusia in 2002. Conservation measures have been implemented since then, which included improving habitat, restocking of rabbits, translocating, reintroducing and monitoring Iberian lynxes ...
In a contrasting tale, conservation efforts have revived the Iberian lynx from the brink of extinction, with the population increasing from 62 mature individuals in 2001 to 648 in 2022 and more ...
Canada lynx in the lower 48 were listed as threatened under the Endangered Species Act in 2000." U.S. Fish and Wildlife Service published the proposed rule in the Federal Register on November 29 ...
A common example is that if the food supply of a prey such as a rabbit is overabundant, its population will grow unbounded and cause the predator population (such as a lynx) to grow unsustainably large. That may result in a crash in the population of the predators and possibly lead to local eradication or even species extinction.
Red list categories of the IUCN Demonstrator against biodiversity loss, at Extinction Rebellion (2018).. The current rate of global biodiversity loss is estimated to be 100 to 1000 times higher than the (naturally occurring) background extinction rate, faster than at any other time in human history, [25] [26] and is expected to grow in the upcoming years.
For example, in an article published in 2004, Otso Ovaskainen and Ilkka Hanski explained with an empirical example that when factors such as Allee effect or Rescue effect were included in modeling the extinction threshold, there were unexpected extinctions in a high number of species. A more complex model came up with different results, and in ...