The importance of realistic dispersal models in planning for conservation

application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot

Job Aben, Greta Bocedi, Stephen C. F. Palmer, Petri Pellikka, Diederik Strubbe, Caspar Hallmann, Justin M. J. Travis, Luc Lens, Erik Matthysen

Research output: Contribution to journalArticle

17 Citations (Scopus)
4 Downloads (Pure)

Abstract

As biodiversity hotspots are often characterized by high human population densities, implementation of conservation management practices that focus only on the protection and enlargement of pristine habitats is potentially unrealistic. An alternative approach to curb species extinction risk involves improving connectivity among existing habitat patches. However, evaluation of spatially explicit management strategies is challenging, as predictive models must account for the process of dispersal, which is difficult in terms of both empirical data collection and modelling.

Here, we use a novel, individual-based modelling platform that couples demographic and mechanistic dispersal models to evaluate the effectiveness of realistic management scenarios tailored to conserve forest birds in a highly fragmented biodiversity hotspot. Scenario performance is evaluated based on the spatial population dynamics of a well-studied forest bird species.

The largest population increase was predicted to occur under scenarios increasing habitat area. However, the effectiveness was sensitive to spatial planning. Compared to adding one large patch to the habitat network, adding several small patches yielded mixed benefits: although overall population sizes increased, specific newly created patches acted as dispersal sinks, which compromised population persistence in some existing patches. Increasing matrix connectivity by the creation of stepping stones is likely to result in enhanced dispersal success and occupancy of smaller patches.

Synthesis and applications. We show that the effectiveness of spatial management is strongly driven by patterns of individual dispersal across landscapes. For species conservation planning, we advocate the use of models that incorporate adequate realism in demography and, particularly, in dispersal behaviours.
Original languageEnglish
Pages (from-to)1055-1065
Number of pages11
JournalJournal of Applied Ecology
Volume53
Issue number4
Early online date31 Mar 2016
DOIs
Publication statusPublished - Aug 2016

Fingerprint

biodiversity
modeling
habitat
connectivity
extinction risk
species conservation
spatial planning
conservation planning
conservation management
demography
planning
population size
management practice
population density
population dynamics
persistence
bird
matrix

Keywords

  • RangeShifter
  • Phyllastrephus cabanisi
  • fragmentation
  • dispersal
  • habitat network
  • connectivity
  • SEPM
  • conservation planning
  • demography
  • Eastern Arc Mountains

Cite this

The importance of realistic dispersal models in planning for conservation : application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot. / Aben, Job; Bocedi, Greta; Palmer, Stephen C. F.; Pellikka, Petri; Strubbe, Diederik; Hallmann, Caspar; Travis, Justin M. J.; Lens, Luc; Matthysen, Erik.

In: Journal of Applied Ecology, Vol. 53, No. 4, 08.2016, p. 1055-1065.

Research output: Contribution to journalArticle

@article{f4cb70ed3e2b47068f7b2cee030bfcf9,
title = "The importance of realistic dispersal models in planning for conservation: application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot",
abstract = "As biodiversity hotspots are often characterized by high human population densities, implementation of conservation management practices that focus only on the protection and enlargement of pristine habitats is potentially unrealistic. An alternative approach to curb species extinction risk involves improving connectivity among existing habitat patches. However, evaluation of spatially explicit management strategies is challenging, as predictive models must account for the process of dispersal, which is difficult in terms of both empirical data collection and modelling.Here, we use a novel, individual-based modelling platform that couples demographic and mechanistic dispersal models to evaluate the effectiveness of realistic management scenarios tailored to conserve forest birds in a highly fragmented biodiversity hotspot. Scenario performance is evaluated based on the spatial population dynamics of a well-studied forest bird species.The largest population increase was predicted to occur under scenarios increasing habitat area. However, the effectiveness was sensitive to spatial planning. Compared to adding one large patch to the habitat network, adding several small patches yielded mixed benefits: although overall population sizes increased, specific newly created patches acted as dispersal sinks, which compromised population persistence in some existing patches. Increasing matrix connectivity by the creation of stepping stones is likely to result in enhanced dispersal success and occupancy of smaller patches.Synthesis and applications. We show that the effectiveness of spatial management is strongly driven by patterns of individual dispersal across landscapes. For species conservation planning, we advocate the use of models that incorporate adequate realism in demography and, particularly, in dispersal behaviours.",
keywords = "RangeShifter, Phyllastrephus cabanisi, fragmentation, dispersal , habitat network, connectivity , SEPM, conservation planning, demography, Eastern Arc Mountains",
author = "Job Aben and Greta Bocedi and Palmer, {Stephen C. F.} and Petri Pellikka and Diederik Strubbe and Caspar Hallmann and Travis, {Justin M. J.} and Luc Lens and Erik Matthysen",
note = "This study was supported by a VLIR-VLADOC scholarship and funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 661211 awarded to JA, research grants G.0055.08 G.0149.09 and G.0308.13 of Research Foundation Flanders (FWO), and the FWO Research Network on Eco-Evolutionary dynamics. SCFP and JMJT were supported by the project TenLamas funded by the French Minist{\`e}re de l'Energie, de l'Ecologie, du D{\'e}veloppement Durable et de la Mer through the EU FP6 BiodivERsA Eranet and by NERC grant NE/J008001/1. GB was supported by the SCALES project (www.scales-project.net). We acknowledge the Taita Research Station of the University of Helsinki for logistic support, and Taita field assistants and students from Ghent University for their help with data collection.",
year = "2016",
month = "8",
doi = "10.1111/1365-2664.12643",
language = "English",
volume = "53",
pages = "1055--1065",
journal = "Journal of Applied Ecology",
issn = "0021-8901",
publisher = "Wiley",
number = "4",

}

TY - JOUR

T1 - The importance of realistic dispersal models in planning for conservation

T2 - application of a novel modelling platform to evaluate management scenarios in an Afrotropical biodiversity hotspot

AU - Aben, Job

AU - Bocedi, Greta

AU - Palmer, Stephen C. F.

AU - Pellikka, Petri

AU - Strubbe, Diederik

AU - Hallmann, Caspar

AU - Travis, Justin M. J.

AU - Lens, Luc

AU - Matthysen, Erik

N1 - This study was supported by a VLIR-VLADOC scholarship and funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 661211 awarded to JA, research grants G.0055.08 G.0149.09 and G.0308.13 of Research Foundation Flanders (FWO), and the FWO Research Network on Eco-Evolutionary dynamics. SCFP and JMJT were supported by the project TenLamas funded by the French Ministère de l'Energie, de l'Ecologie, du Développement Durable et de la Mer through the EU FP6 BiodivERsA Eranet and by NERC grant NE/J008001/1. GB was supported by the SCALES project (www.scales-project.net). We acknowledge the Taita Research Station of the University of Helsinki for logistic support, and Taita field assistants and students from Ghent University for their help with data collection.

PY - 2016/8

Y1 - 2016/8

N2 - As biodiversity hotspots are often characterized by high human population densities, implementation of conservation management practices that focus only on the protection and enlargement of pristine habitats is potentially unrealistic. An alternative approach to curb species extinction risk involves improving connectivity among existing habitat patches. However, evaluation of spatially explicit management strategies is challenging, as predictive models must account for the process of dispersal, which is difficult in terms of both empirical data collection and modelling.Here, we use a novel, individual-based modelling platform that couples demographic and mechanistic dispersal models to evaluate the effectiveness of realistic management scenarios tailored to conserve forest birds in a highly fragmented biodiversity hotspot. Scenario performance is evaluated based on the spatial population dynamics of a well-studied forest bird species.The largest population increase was predicted to occur under scenarios increasing habitat area. However, the effectiveness was sensitive to spatial planning. Compared to adding one large patch to the habitat network, adding several small patches yielded mixed benefits: although overall population sizes increased, specific newly created patches acted as dispersal sinks, which compromised population persistence in some existing patches. Increasing matrix connectivity by the creation of stepping stones is likely to result in enhanced dispersal success and occupancy of smaller patches.Synthesis and applications. We show that the effectiveness of spatial management is strongly driven by patterns of individual dispersal across landscapes. For species conservation planning, we advocate the use of models that incorporate adequate realism in demography and, particularly, in dispersal behaviours.

AB - As biodiversity hotspots are often characterized by high human population densities, implementation of conservation management practices that focus only on the protection and enlargement of pristine habitats is potentially unrealistic. An alternative approach to curb species extinction risk involves improving connectivity among existing habitat patches. However, evaluation of spatially explicit management strategies is challenging, as predictive models must account for the process of dispersal, which is difficult in terms of both empirical data collection and modelling.Here, we use a novel, individual-based modelling platform that couples demographic and mechanistic dispersal models to evaluate the effectiveness of realistic management scenarios tailored to conserve forest birds in a highly fragmented biodiversity hotspot. Scenario performance is evaluated based on the spatial population dynamics of a well-studied forest bird species.The largest population increase was predicted to occur under scenarios increasing habitat area. However, the effectiveness was sensitive to spatial planning. Compared to adding one large patch to the habitat network, adding several small patches yielded mixed benefits: although overall population sizes increased, specific newly created patches acted as dispersal sinks, which compromised population persistence in some existing patches. Increasing matrix connectivity by the creation of stepping stones is likely to result in enhanced dispersal success and occupancy of smaller patches.Synthesis and applications. We show that the effectiveness of spatial management is strongly driven by patterns of individual dispersal across landscapes. For species conservation planning, we advocate the use of models that incorporate adequate realism in demography and, particularly, in dispersal behaviours.

KW - RangeShifter

KW - Phyllastrephus cabanisi

KW - fragmentation

KW - dispersal

KW - habitat network

KW - connectivity

KW - SEPM

KW - conservation planning

KW - demography

KW - Eastern Arc Mountains

U2 - 10.1111/1365-2664.12643

DO - 10.1111/1365-2664.12643

M3 - Article

VL - 53

SP - 1055

EP - 1065

JO - Journal of Applied Ecology

JF - Journal of Applied Ecology

SN - 0021-8901

IS - 4

ER -