Manaaki Whenua - Landcare Research

Auckland, NZ

http://www.landcareresearch.co.nz/

Wikidata iD https://www.wikidata.org/wiki/Q1801980

Science Enabled Through Specimens Collected or Identified by Personnel

Rotllan-Puig, X., & Traveset, A. (2019). Determining the Minimal Background Area for Species Distribution Models: MinBAR Package. doi:10.1101/571182 https://doi.org/10.1101/571182

One of the crucial choices when modelling species distributions using pseudo-absences approaches is the delineation of the background area to fit the model. We hypothesise that there is a minimum background area around the centre of the species distribution that characterizes well enough the range o…

Specimens collected or identified by: David Glenny

Karger, D. N., Kessler, M., Conrad, O., Weigelt, P., Kreft, H., König, C., & Zimmermann, N. E. (2019). Why tree lines are lower on islands-Climatic and biogeographic effects hold the answer. Global Ecology and Biogeography. doi:10.1111/geb.12897 https://doi.org/10.1111/geb.12897

Aim: To determine the global position of tree line isotherms, compare it with observed local tree limits on islands and mainlands, and disentangle the potential drivers of a difference between tree line and local tree limit. Location: Global. Time period: 1979–2013. Major taxa studied: Trees. Method…

Specimens collected or identified by: Kerry Ford, David Glenny

Sheppard, C. S., & Schurr, F. M. (2018). Biotic resistance or introduction bias? Immigrant plant performance decreases with residence times over millennia. Global Ecology and Biogeography. doi:10.1111/geb.12844 https://doi.org/10.1111/geb.12844

Aim: Invasions are dynamic processes. Invasive spread causes the geographical range size of alien species to increase with residence time. However, with time native competitors and antagonists can adapt to invaders. This build‐up of biotic resistance may eventually limit the invader’s performance an…

Specimens collected or identified by: David Glenny

Franklin, J., Serra-Diaz, J. M., Syphard, A. D., & Regan, H. M. (2016). Big data for forecasting the impacts of global change on plant communities. Global Ecology and Biogeography, 26(1), 6–17. doi:10.1111/geb.12501 https://doi.org/10.1111/geb.12501

Aim Plant distributions and vegetation dynamics underpin key global phenomena, including biogeochemical cycling, ecosystem productivity and terrestrial biodiversity patterns. Aggregated and remotely collected ‘big data’ are required to forecast the effects of global change on plant communities. We s…

Specimens collected or identified by: Kerry Ford, David Glenny