Effect of Planning for Connectivity on Linear Reserve Networks

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Effect of Planning for Connectivity on Linear Reserve Networks. / Lentini, Pia E.; Gibbons, Philip; Carwardine, Josie et al.

In: Conservation Biology, Vol. 27, No. 4, 08.2013, p. 796-807.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Lentini, PE, Gibbons, P, Carwardine, J, Fischer, J, Drielsma, M & Martin, TG 2013, 'Effect of Planning for Connectivity on Linear Reserve Networks', Conservation Biology, vol. 27, no. 4, pp. 796-807. https://doi.org/10.1111/cobi.12060

APA

Lentini, P. E., Gibbons, P., Carwardine, J., Fischer, J., Drielsma, M., & Martin, T. G. (2013). Effect of Planning for Connectivity on Linear Reserve Networks. Conservation Biology, 27(4), 796-807. https://doi.org/10.1111/cobi.12060

Vancouver

Lentini PE, Gibbons P, Carwardine J, Fischer J, Drielsma M, Martin TG. Effect of Planning for Connectivity on Linear Reserve Networks. Conservation Biology. 2013 Aug;27(4):796-807. doi: 10.1111/cobi.12060

Bibtex

@article{0f23e842995d48e2bca6f6bc0ae55591,
title = "Effect of Planning for Connectivity on Linear Reserve Networks",
abstract = "Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock-route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape-value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real-world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked.",
keywords = "Sustainability Science, Connectivity metrics, Corridor, Linear feature, Marxan, Sensitivity, Systematic conservation, Target-based conservation, traveling stock route, Biology",
author = "Lentini, {Pia E.} and Philip Gibbons and Josie Carwardine and Joern Fischer and Michael Drielsma and Martin, {Tara G.}",
year = "2013",
month = aug,
doi = "10.1111/cobi.12060",
language = "English",
volume = "27",
pages = "796--807",
journal = "Conservation Biology",
issn = "0888-8892",
publisher = "John Wiley & Sons Ltd.",
number = "4",

}

RIS

TY - JOUR

T1 - Effect of Planning for Connectivity on Linear Reserve Networks

AU - Lentini, Pia E.

AU - Gibbons, Philip

AU - Carwardine, Josie

AU - Fischer, Joern

AU - Drielsma, Michael

AU - Martin, Tara G.

PY - 2013/8

Y1 - 2013/8

N2 - Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock-route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape-value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real-world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked.

AB - Although the concept of connectivity is decades old, it remains poorly understood and defined, and some argue that habitat quality and area should take precedence in conservation planning instead. However, fragmented landscapes are often characterized by linear features that are inherently connected, such as streams and hedgerows. For these, both representation and connectivity targets may be met with little effect on the cost, area, or quality of the reserve network. We assessed how connectivity approaches affect planning outcomes for linear habitat networks by using the stock-route network of Australia as a case study. With the objective of representing vegetation communities across the network at a minimal cost, we ran scenarios with a range of representation targets (10%, 30%, 50%, and 70%) and used 3 approaches to account for connectivity (boundary length modifier, Euclidean distance, and landscape-value [LV]). We found that decisions regarding the target and connectivity approach used affected the spatial allocation of reserve systems. At targets ≥50%, networks designed with the Euclidean distance and LV approaches consisted of a greater number of small reserves. Hence, by maximizing both representation and connectivity, these networks compromised on larger contiguous areas. However, targets this high are rarely used in real-world conservation planning. Approaches for incorporating connectivity into the planning of linear reserve networks that account for both the spatial arrangement of reserves and the characteristics of the intervening matrix highlight important sections that link the landscape and that may otherwise be overlooked.

KW - Sustainability Science

KW - Connectivity metrics

KW - Corridor

KW - Linear feature

KW - Marxan

KW - Sensitivity

KW - Systematic conservation

KW - Target-based conservation

KW - traveling stock route

KW - Biology

UR - http://www.scopus.com/inward/record.url?scp=84880703783&partnerID=8YFLogxK

U2 - 10.1111/cobi.12060

DO - 10.1111/cobi.12060

M3 - Journal articles

C2 - 23647073

VL - 27

SP - 796

EP - 807

JO - Conservation Biology

JF - Conservation Biology

SN - 0888-8892

IS - 4

ER -

DOI