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Using dynamic vegetation models to simulate plant range shifts
- Source :
- Ecography, Ecography, Wiley, 2014, 37 (12), pp.1184-1197. ⟨10.1111/ecog.00580⟩, Ecography, 37 (12)
- Publication Year :
- 2014
-
Abstract
- Dynamic vegetation models (DVMs) follow a process‐based approach to simulate plant population demography, and have been used to address questions about disturbances, plant succession, community composition, and provisioning of ecosystem services under climate change scenarios. Despite their potential, they have seldom been used for studying species range dynamics explicitly. In this perspective paper, we make the case that DVMs should be used to this end and can improve our understanding of the factors that influence species range expansions and contractions. We review the benefits of using process‐based, dynamic models, emphasizing how DVMs can be applied specifically to questions about species range dynamics. Subsequently, we provide a critical evaluation of some of the limitations and trade‐offs associated with DVMs, and we use those to guide our discussions about future model development. This includes a discussion on which processes are lacking, specifically a mechanistic representation of dispersal, inclusion of the seedling stage, trait variability, and a dynamic representation of reproduction. We also discuss upscaling techniques that offer promising solutions for being able to run these models efficiently over large spatial extents. Our aim is to provide directions for future research efforts and to illustrate the value of the DVM approach. ISSN:0906-7590 ISSN:1600-0587
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Process (engineering)
Ecology
Climate change
Provisioning
Vegetation
15. Life on land
Biology
010603 evolutionary biology
01 natural sciences
Ecosystem services
[SDE]Environmental Sciences
Trait
Biological dispersal
Representation (mathematics)
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 09067590 and 16000587
- Database :
- OpenAIRE
- Journal :
- Ecography, Ecography, Wiley, 2014, 37 (12), pp.1184-1197. ⟨10.1111/ecog.00580⟩, Ecography, 37 (12)
- Accession number :
- edsair.doi.dedup.....60c768415f4228b20f831ec47d9cffd4
- Full Text :
- https://doi.org/10.1111/ecog.00580⟩