How to understand species' niches and range dynamics: a demographic research agenda for biogeography

Frank M. Schurr, Jörn Pagel, Juliano S. Cabral, Jürgen Groeneveld, Olga Bykova, Robert B. O'Hara, Florian Hartig, W. Daniel Kissling, H. Peter Linder, Guy F. Midgley, Boris Schröder, Alexander Singer, Niklaus E. Zimmermann

Journal of Biogeography, 39(12), 2146–2162 (2012)
Cite this
@article{schurr2012how,
  author = {Frank M. Schurr and Jörn Pagel and Juliano S. Cabral and Jürgen Groeneveld and Olga Bykova and Robert B. O'Hara and Florian Hartig and W. Daniel Kissling and H. Peter Linder and Guy F. Midgley and Boris Schröder and Alexander Singer and Niklaus E. Zimmermann},
  title = {How to understand species' niches and range dynamics: a demographic research agenda for biogeography},
  journal = {Journal of Biogeography},
  volume = {39},
  number = {12},
  pages = {2146–2162},
  year = {2012},
  doi = {10.1111/j.1365-2699.2012.02737.x},
}

DOI: 10.1111/j.1365-2699.2012.02737.x
Cited by 382 (Google Scholar) · 301 (OpenAlex), as of 07 September 2026

View article (DOI)

Abstract

Range dynamics causes mismatches between a species’ geographical distribution and the set of suitable environments in which population growth is positive (the Hutchinsonian niche). This is because source-sink population dynamics cause species to occupy unsuitable environments, and because environmental change creates non-equilibrium situations in which species may be absent from suitable environments or present in unsuitable environments that were previously suitable. Because correlative species distribution models do not account for these processes, they are likely to produce biased niche estimates and biased forecasts of future range dynamics. Recently developed dynamic range models (DRMs) overcome this problem: they statistically estimate both range dynamics and the underlying environmental response of demographic rates from species distribution data. Here we review current and potential contributions of statistical modelling, empirical data collection and ecological theory to a demographic understanding of niches and range dynamics, formulating a research agenda that entails advances in incorporating process-based models into a statistical framework, systematic collection of data on distribution, abundance and demographic rates, and improved theoretical understanding of the scaling of demographic rates and the dynamics of spatially coupled populations.

What the paper shows and why it matters (AI-generated)

A species' realised geographic range and its underlying environmental niche routinely mismatch — source-sink dynamics push species into unsuitable places, and environmental change leaves them stranded in formerly suitable ones that correlative models can't account for. This review sets out a demographic research agenda for closing that gap: process-based models embedded in statistical frameworks, systematic collection of demographic rate data, and better theory for how those rates scale across space. It's aged unusually well — the demographic niche concept it helped establish is still being actively developed in 2026, alongside applications to invasive-species risk and range-limit population dynamics.