2 Works

Data from: Combining correlative and mechanistic niche models with human activity data to elucidate the invasive potential of a sub-Antarctic insect

Luis Pertierra, Pedro Aragón, Miguel Olalla-Tarraga, Greta Vega, Grant Duffy, Pete Convey, Scott Hayward, Kevin Hughes & Jesamine Bartlett
Aim Correlative Species Distribution Models (SDMs) are subject to substantial spatio-temporal limitations when historical occurrence records of data-poor species provide incomplete and outdated information for niche modelling. Complementary mechanistic modelling techniques can, therefore, offer a valuable contribution to underpin more physiologically-informed predictions of biological invasions, the risk of which is often exacerbated by climate change. In this study we integrate physiological and human pressure data to address the uncertainties and limitations of correlative SDMs and...

Record of expert inputs shaping future city discourses for Urban Living Birmingham

M.H. Grace, A.J. Scott, J.P. Sadler, D.G. Proverbs & N. Grayson
The dataset consists of the transcripts of expert inputs considering how the conceptual thinking for both ‘smart’ and ‘natural or biophilic’ cities could combine to inform future urban discourses and critically reviewed a set of emerging characteristics that described the interface between these alternative discourses. These inputs include informed practice-based perspectives on themes identified in the literature and comparative assessments, testing the integrating principles identified in the research against business as usual silo approaches, which...

Registration Year

  • 2019
    2

Resource Types

  • Dataset
    2

Affiliations

  • Birmingham City University
    2
  • British Antarctic Survey
    1
  • King Juan Carlos University
    1
  • Monash University
    1
  • Complutense University of Madrid
    1
  • University of Birmingham
    1
  • Northumbria University
    1
  • Birmingham City Council
    1