• Effective biodiversity monitoring needs a culture of integration 

      Kühl, H.S.; Bowler, Diana Elizabeth; Bösch, L.; Bruelheide, H.; Dauber, J.; Eichenberg, D.; Eisehower, N.; Fernandez, N.; Guerra, Carlos A.; Henle, Klaus; Herbinger, Ilka; Isaac, Nick J.B.; Jansen, Florian; König-Ries, Birgitta; Kühn, Ingolf; Nilsen, Erlend Birkeland; Pe'er, Guy; Richter, Anett; Schulte, Ralf; Settele, Josef; van Dam, Nicole M.; Voigt, Maria; Wägele, Wolfgang J.; Wirth, Christian; Bonn, Aletta (Peer reviewed; Journal article, 2020)
      Despite conservation commitments, most countries still lack large-scale biodiversity monitoring programs to track progress toward agreed targets. Monitoring program design is frequently approached from a topdown, data-centric ...
    • Ensuring a post-covid economic agenda tackles global biodiversity loss 

      McElwee, Pamela; Turnout, Esther; Chiroleu-Assouline, Mireille; Clapp, Jennifer; Isenhour, Cindy; Jackson, Tim; Kelemen, Eszter; Miller, Daniel C.; Rusch, Graciela; Spangenberg, Joachim H.; Waldron, Anthony; Baumgartner, Rupert J.; Bleys, Brent; Howard, Michael W.; Mungatana, Eric; Ngo, Hien; Ring, Irene; Santos, Rui (Peer reviewed; Journal article, 2020)
      The COVID-19 pandemic has caused dramatic and unprecedented impacts on both global health and economies. Many governments are now proposing recovery packages to get back to normal, but the 2019 Intergovernmental Science-Policy ...
    • Making Messy Data Work for Conservation 

      Dobson, A.D.M.; Milner-Gulland, E.J.; Aebischer, Nicholas J.; Beale, Colin M.; Brozovic, Robert; Coals, Peter; Critchlow, Rob; Dancer, Anthony; Greve, Michelle; Hinsley, Amy; Ibbett, Harriet; Johnston, Alison; Kuiper, Timothy; Le Comber, Steven; Mahood, Simon P.; Moore, Jennifer F.; Nilsen, Erlend Birkeland; Pocock, Michael J.O.; Quinn, Anthony; Travers, Henry; Wilfred, Paulo; Wright, Joss; Keane, Aidan (Journal article, 2020)
      Conservationists increasingly use unstructured observational data, such as citizen science records or ranger patrol observations, to guide decision making. These datasets are often large and relatively cheap to collect, ...