🎤 this will be useful

references.bib

@@ -901,6 +901,19 @@ @misc{danetResponseDiversityMajor2024
   file = {/Users/tanyastrydom/Zotero/storage/LQYQF52Y/Danet et al. - 2024 - Response diversity is a major driver of temporal s.pdf}
 }
 
+@article{dansereauOvercomingDisconnectInteraction2024,
+  title = {Overcoming the Disconnect between Interaction Networks and Biodiversity Conservation and Management},
+  author = {Dansereau, Gabriel and Braga, Jo{\~a}o and Ficetola, Gentile Francesco and Galiana, Nur{\'i}a and Gravel, Dominique and Maiorano, Luigi and Montoya, Jos{\'e} M. and O'Connor, Louise and Pollock, Laura J. and Thuiller, Wilfried and Poisot, Timoth{\'e}e and Barros, Ceres},
+  year = {2024},
+  month = nov,
+  publisher = {EcoEvoRxiv},
+  urldate = {2024-12-04},
+  abstract = {Decision-makers need to act now to halt biodiversity loss, and ecologists must provide them with relevant species interaction indicators to inform on community- and ecosystem-level changes. Yet, the integration of ecological networks into conservation is still virtually nonexistent. Here, we discuss challenges and opportunities related to uncertainty, interpretability and relevance of network metrics applied to conservation. We argue that existing data and methodologies are sufficient to generate network information usable for conservation, and to overcome existing challenges. Interaction network indicators must meet criteria important to decision-makers and be tied to specific conservation goals, which requires academics to better engage with practitioners. We suggest network robustness as an indicator for biodiversity management and showcase it in a workflow to inform decision-making.},
+  copyright = {CC BY Attribution 4.0 International},
+  langid = {english},
+  file = {/Users/tanyastrydom/Zotero/storage/FNSJNYIY/Dansereau et al. - 2024 - Overcoming the disconnect between interaction netw.pdf}
+}
+
 @article{dansereauSpatiallyExplicitPredictions2024,
   title = {Spatially Explicit Predictions of Food Web Structure from Regional-Level Data},
   author = {Dansereau, Gabriel and Barros, Ceres and Poisot, Timoth{\'e}e},