Ecological networks have a long history in ecology, and a recent increase in network
analyses across environmental gradients has revealed important changes in their structure …

We review progress in our understanding of the importance of waterbirds as dispersal
vectors of other organisms, and identify priorities for further research. Waterbirds are …

Understanding the complex interactions among the Sustainable Development Goals (SDGs)
is key to achieving all of the SDGs and 'leaving no one behind'. However, research about …

Here we build on the manifesto 'World Scientists' Warning to Humanity, issued by the
Alliance of World Scientists. As a group of conservation biologists deeply concerned about …

Co-occurrence networks produced from microbial survey sequencing data are frequently
used to identify interactions between community members. While this approach has …

Real-world complex networks are composed of non-random quantitative interactions.
Identifying communities of nodes that tend to interact more with each other than the network …

Abstract The 17 United Nations Sustainable Development Goals (SDGs) are set to change
the way we live, and aim to create, by 2030, a sustainable future balancing equitable …

The global biodiversity crisis concerns not only unprecedented loss of species within
communities, but also related consequences for ecosystem function. Community ecology …

The observed architecture of ecological and socio-economic networks differssignificantly
from that of random networks. From a network science standpoint, non-random structural …

Community ecology is tasked with the considerable challenge of predicting the structure,
and properties, of emerging ecosystems. It requires the ability to understand how and why …