During the last 100 years in many countries of the world, there have been dramatic changes
in natural/rural landscapes due to urbanization. Since many wildlife species are unable to …

Spatial representations of threatening processes–“threat maps”–can identify where
biodiversity is at risk, and are often used to identify priority locations for conservation. In …

Ancient DNA research has been revolutionized following development of next-generation
sequencing platforms. Although a number of such platforms have been applied to ancient …

Environmental DNA (eDNA) is increasingly used to monitor aquatic macrofauna. Typically,
short mitochondrial DNA fragments are targeted because these should be relatively more …

The random forests (RF) algorithm is a superb learner and classifier in machine learning
applications. This ensemble model is also one of the most popular species distribution …

The utilization of species distribution model (s)(SDM) for approximating, explaining, and
predicting changes in species' geographic locations is increasingly promoted for proactive …

Context The classical theory of island biogeography explains loss of species in fragmented
landscapes as an effect of remnant patch size and isolation. Recently this has been …

Most successful control or eradication programs have been implemented in uninhabited
regions, where little or no consideration of socio-political factors has been required. A …

Apex predators are important in protecting biodiversity through top‐down influence on food
webs. Their loss is linked with competitive release of invasive mesopredators and species …

Taxon‐specific DNA tests are applied to many ecological and management questions,
increasingly using environmental DNA (eDNA). eDNA facilitates noninvasive ecological …