TY  - JOUR
A1  - Svenning, Jens-Christian
A1  - Gravel, Dominique
A1  - Holt, Robert D.
A1  - Schurr, Frank Martin
A1  - Thuiller, Wilfried
A1  - Muenkemueller, Tamara
A1  - Schiffers, Katja H.
A1  - Dullinger, Stefan
A1  - Edwards, Thomas C.
A1  - Hickler, Thomas
A1  - Higgins, Steven I.
A1  - Nabel, Julia E. M. S.
A1  - Pagel, Jörn
A1  - Normand, Signe
T1  - The influence of interspecific interactions on species range expansion rates
JF  - Ecography : pattern and diversity in ecology ; research papers forum
Y1  - 2014
U6  - https://doi.org/10.1111/j.1600-0587.2013.00574.x
SN  - 0906-7590
SN  - 1600-0587
VL  - 37
IS  - 12
SP  - 1198
EP  - 1209
PB  - Wiley-Blackwell
CY  - Hoboken
ER  - 
TY  - JOUR
A1  - Higgins, Steven I.
A1  - Flores, Olivier
A1  - Schurr, Frank Martin
T1  - Costs of persistence and the spread of competing seeders and sprouters
Y1  - 2008
UR  - http://www3.interscience.wiley.com/journal/118509661/home
U6  - https://doi.org/10.1111/j.1365-2745.2008.01391.x
SN  - 0022-0477
ER  - 
TY  - JOUR
A1  - Schurr, Frank Martin
A1  - Bond, William J.
A1  - Midgley, Guy F.
A1  - Higgins, Steven I.
T1  - A mechanistic model for secondary seed dispersal by wind and its experimental validation
N2  - 1 Secondary seed dispersal by wind, the wind-driven movement of seeds along the ground surface, is an important dispersal mechanism for plant species in a range of environments. 2 We formulate a mechanistic model that describes how secondary dispersal by wind is affected by seed traits, wind conditions and obstacles to seed movement. The model simulates the movement paths of individual seeds and can be fully specified using independently measured parameters. 3 We develop an explicit version of the model that uses a spatially explicit representation of obstacle patterns, and also an aggregated version that uses probability distributions to model seed retention at obstacles and seed movement between obstacles. The aggregated version is computationally efficient and therefore suited to large-scale simulations. It provides a very good approximation of the explicit version (R-2 > 0.99) if initial seed positions vary randomly relative to the obstacle pattern. 4 To validate the model, we conducted a field experiment in which we released seeds of seven South African Proteaceae species that differ in seed size and morphology into an arena in which we systematically varied obstacle patterns. When parameterized with maximum likelihood estimates obtained from independent measurements, the explicit model version explained 70-77% of the observed variation in the proportion of seeds dispersed over 25 m and 67- 69% of the observed variation in the direction of seed dispersal. 5 The model tended to underestimate dispersal rates, possibly due to the omission of turbulence from the model, although this could also be explained by imprecise estimation of one model parameter (the aerodynamic roughness length). 6 Our analysis of the aggregated model predicts a unimodal relationship between the distance of secondary dispersal by wind and seed size. The model can also be used to identify species with the potential for long-distance seed transport by secondary wind dispersal. 7 The validated model expands the domain of mechanistic dispersal models, contributes to a functional understanding of seed dispersal, and provides a tool for predicting the distances that seeds move
Y1  - 2005
SN  - 0022-0477
ER  - 
TY  - JOUR
A1  - Higgins, Steven I.
A1  - Clark, Stephen James
A1  - Nathan, Ran
A1  - Hovestadt, Thomas
A1  - Schurr, Frank Martin
A1  - Fragoso, Jose M. V.
A1  - Aguiar, Martin R.
A1  - Ribbens, Eric
A1  - Lavorel, Sandra
T1  - Forecasting plant migration rates : managing uncertainty for risk assessment
N2  - 1. Anthropogenic changes in the global climate are shifting the potential ranges of many plant species. 2. Changing climates will allow some species the opportunity to expand their range, others may experience a contraction in their potential range, while the current and future ranges of some species may not overlap. Our capacity to generalize about the threat these range shifts pose to plant diversity is limited by many sources of uncertainty. 3. In this paper we summarize sources of uncertainty for migration forecasts and suggest a research protocol for making forecasts in the context of uncertainty.
Y1  - 2003
ER  -