Skip to main content

Spatially modelling pathways of migratory birds for nature reserve site selection

Buy Article:

$63.00 plus tax (Refund Policy)

Conserving habitat for migratory birds presents a unique set of challenges, because multiple reserves distributed across space are required for complete protection of single species. We developed the Flight Leg Allocation Problem (FLAP), a distance-constrained shortest path problem, to identify optimal configurations of stopover habitats for migratory bird conservation. FLAP is based on a relational network topology model, where stopovers are represented as nodes and potential pathways by links. FLAP finds the optimal migratory pathway that consists of the fewest number of stops in the shortest distance, given that flocks of birds are limited by maximum daily flight capabilities and constrained by carrying capacities of individual habitats. We first present the FLAP model formulation and describe results of an empirical test for a large wetland dataset under different climatic conditions. Our results illustrate how migratory birds might respond to changes in both the temporal and spatial distribution of available stopovers. We also discuss conservation implications for using FLAP to identify priority sites for migratory birds in nature reserve networks. Additionally, the methods presented in this paper may be useful for modelling other types of spatially and temporally dynamic networks.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Shortest path problem; Spatial optimization; Spatio-temporal decision support system; Wetland conservation

Document Type: Research Article

Affiliations: Department of Geography, The Florida State University, Tallahassee, FL 32306, USA

Publication date: 2008-01-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more