A new method to infer vegetation boundary movement from 'snapshot' data
Global change may induce shifts in plant community distributions at multiple spatial scales. At the ecosystem scale, such shifts may result in movement of ecotones or vegetation boundaries. Most indicators for ecosystem change require timeseries data, but here a new method is proposed enabling infer...
Published in: | Ecography |
---|---|
Main Authors: | , , , , |
Format: | Text |
Language: | unknown |
Published: |
UVM ScholarWorks
2013
|
Subjects: | |
Online Access: | https://scholarworks.uvm.edu/calsfac/108 https://doi.org/10.1111/j.1600-0587.2012.07753.x https://scholarworks.uvm.edu/context/calsfac/article/1109/viewcontent/iBeckage2012.pdf |
id |
ftunivermont:oai:scholarworks.uvm.edu:calsfac-1109 |
---|---|
record_format |
openpolar |
spelling |
ftunivermont:oai:scholarworks.uvm.edu:calsfac-1109 2023-07-02T03:33:53+02:00 A new method to infer vegetation boundary movement from 'snapshot' data Eppinga, Maarten B. Pucko, Carolyn A. Baudena, Mara Beckage, Brian Molofsky, Jane 2013-05-01T07:00:00Z application/pdf https://scholarworks.uvm.edu/calsfac/108 https://doi.org/10.1111/j.1600-0587.2012.07753.x https://scholarworks.uvm.edu/context/calsfac/article/1109/viewcontent/iBeckage2012.pdf unknown UVM ScholarWorks https://scholarworks.uvm.edu/calsfac/108 doi:10.1111/j.1600-0587.2012.07753.x https://scholarworks.uvm.edu/context/calsfac/article/1109/viewcontent/iBeckage2012.pdf © 2012 The Authors. http://creativecommons.org/licenses/by/4.0/ College of Agriculture and Life Sciences Faculty Publications Climate Solutions Climate text 2013 ftunivermont https://doi.org/10.1111/j.1600-0587.2012.07753.x 2023-06-13T18:32:53Z Global change may induce shifts in plant community distributions at multiple spatial scales. At the ecosystem scale, such shifts may result in movement of ecotones or vegetation boundaries. Most indicators for ecosystem change require timeseries data, but here a new method is proposed enabling inference of vegetation boundary movement from one 'snapshot' (e.g. an aerial photograph or satellite image) in time. The method compares the average spatial position of frontrunners of both communities along the vegetation boundary. Mathematical analyses and simulation modeling show that the average frontrunner position of retreating communities is always farther away from a so-called optimal vegetation boundary as compared to that of the expanding community. This feature does not depend on assumptions about plant dispersal or competition characteristics. The method is tested with snapshot data of a northern hardwood-boreal forest mountain ecotone in Vermont, a forest-mire ecotone in New Zealand and a subalpine treeline-tundra ecotone in Montana. The direction of vegetation boundary movement is accurately predicted for these case studies, but we also discuss potential caveats. With the availability of snapshot data rapidly increasing, the method may provide an easy tool to assess vegetation boundary movement and hence ecosystem responses to changing environmental conditions. © 2012 The Authors. Ecography © 2012 Nordic Society Oikos. Text Tundra The University of Vermont: ScholarWorks @ UVM New Zealand Ecography 36 5 622 635 |
institution |
Open Polar |
collection |
The University of Vermont: ScholarWorks @ UVM |
op_collection_id |
ftunivermont |
language |
unknown |
topic |
Climate Solutions Climate |
spellingShingle |
Climate Solutions Climate Eppinga, Maarten B. Pucko, Carolyn A. Baudena, Mara Beckage, Brian Molofsky, Jane A new method to infer vegetation boundary movement from 'snapshot' data |
topic_facet |
Climate Solutions Climate |
description |
Global change may induce shifts in plant community distributions at multiple spatial scales. At the ecosystem scale, such shifts may result in movement of ecotones or vegetation boundaries. Most indicators for ecosystem change require timeseries data, but here a new method is proposed enabling inference of vegetation boundary movement from one 'snapshot' (e.g. an aerial photograph or satellite image) in time. The method compares the average spatial position of frontrunners of both communities along the vegetation boundary. Mathematical analyses and simulation modeling show that the average frontrunner position of retreating communities is always farther away from a so-called optimal vegetation boundary as compared to that of the expanding community. This feature does not depend on assumptions about plant dispersal or competition characteristics. The method is tested with snapshot data of a northern hardwood-boreal forest mountain ecotone in Vermont, a forest-mire ecotone in New Zealand and a subalpine treeline-tundra ecotone in Montana. The direction of vegetation boundary movement is accurately predicted for these case studies, but we also discuss potential caveats. With the availability of snapshot data rapidly increasing, the method may provide an easy tool to assess vegetation boundary movement and hence ecosystem responses to changing environmental conditions. © 2012 The Authors. Ecography © 2012 Nordic Society Oikos. |
format |
Text |
author |
Eppinga, Maarten B. Pucko, Carolyn A. Baudena, Mara Beckage, Brian Molofsky, Jane |
author_facet |
Eppinga, Maarten B. Pucko, Carolyn A. Baudena, Mara Beckage, Brian Molofsky, Jane |
author_sort |
Eppinga, Maarten B. |
title |
A new method to infer vegetation boundary movement from 'snapshot' data |
title_short |
A new method to infer vegetation boundary movement from 'snapshot' data |
title_full |
A new method to infer vegetation boundary movement from 'snapshot' data |
title_fullStr |
A new method to infer vegetation boundary movement from 'snapshot' data |
title_full_unstemmed |
A new method to infer vegetation boundary movement from 'snapshot' data |
title_sort |
new method to infer vegetation boundary movement from 'snapshot' data |
publisher |
UVM ScholarWorks |
publishDate |
2013 |
url |
https://scholarworks.uvm.edu/calsfac/108 https://doi.org/10.1111/j.1600-0587.2012.07753.x https://scholarworks.uvm.edu/context/calsfac/article/1109/viewcontent/iBeckage2012.pdf |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
College of Agriculture and Life Sciences Faculty Publications |
op_relation |
https://scholarworks.uvm.edu/calsfac/108 doi:10.1111/j.1600-0587.2012.07753.x https://scholarworks.uvm.edu/context/calsfac/article/1109/viewcontent/iBeckage2012.pdf |
op_rights |
© 2012 The Authors. http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1111/j.1600-0587.2012.07753.x |
container_title |
Ecography |
container_volume |
36 |
container_issue |
5 |
container_start_page |
622 |
op_container_end_page |
635 |
_version_ |
1770274029421199360 |