AI Medical Compendium Journal:
Trends in ecology & evolution

Showing 1 to 9 of 9 articles

The potential for AI to revolutionize conservation: a horizon scan.

Trends in ecology & evolution
Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantl...

Species delimitation 4.0: integrative taxonomy meets artificial intelligence.

Trends in ecology & evolution
Although species are central units for biological research, recent findings in genomics are raising awareness that what we call species can be ill-founded entities due to solely morphology-based, regional species descriptions. This particularly appli...

Leveraging AI to improve evidence synthesis in conservation.

Trends in ecology & evolution
Systematic evidence syntheses (systematic reviews and maps) summarize knowledge and are used to support decisions and policies in a variety of applied fields, from medicine and public health to biodiversity conservation. However, conducting these exe...

AI-based discovery of habitats from museum collections.

Trends in ecology & evolution
Museum collection records are a source of historic data for species occurrence, but little attention is paid to the associated descriptions of habitat at the sample locations. We propose that artificial intelligence methods have potential to use thes...

Leveraging AI tools to develop the writer rather than the writing.

Trends in ecology & evolution
Scientific writing can prove challenging, particularly for those who are non-native English speakers writing in English. Here, we explore the potential of advanced artificial intelligence (AI) tools, guided by principles of second-language acquisitio...

Farm robots: ecological utopia or dystopia?

Trends in ecology & evolution
Farm robots may lead to an ecological utopia where swarms of small robots help in overcoming the yield penalties and labor requirements associated with agroecological farming - or a dystopia with large robots cultivating monocultures. Societal discus...

Quantifying Tropical Plant Diversity Requires an Integrated Technological Approach.

Trends in ecology & evolution
Tropical biomes are the most diverse plant communities on Earth, and quantifying this diversity at large spatial scales is vital for many purposes. As macroecological approaches proliferate, the taxonomic uncertainties in species occurrence data are ...

Uncovering Ecological Patterns with Convolutional Neural Networks.

Trends in ecology & evolution
Using remotely sensed imagery to identify biophysical components across landscapes is an important avenue of investigation for ecologists studying ecosystem dynamics. With high-resolution remotely sensed imagery, algorithmic utilization of image cont...

Next-Generation Global Biomonitoring: Large-scale, Automated Reconstruction of Ecological Networks.

Trends in ecology & evolution
We foresee a new global-scale, ecological approach to biomonitoring emerging within the next decade that can detect ecosystem change accurately, cheaply, and generically. Next-generation sequencing of DNA sampled from the Earth's environments would p...