Predictors of tree damage and survival in agroforests after major cyclone disturbance in Fiji

dc.citation.issue4
dc.citation.volume98
dc.contributor.authorMcGuigan A
dc.contributor.authorTora M
dc.contributor.authorTikonavuli V
dc.contributor.authorTicktin T
dc.date.accessioned2024-07-17T22:51:48Z
dc.date.available2024-07-17T22:51:48Z
dc.date.issued2024-03-12
dc.description.abstractThis study explores the resilience and damage dynamics of agroforests, a critically important yet understudied agroecological system, in the aftermath of Category-5 Cyclone Winston in Fiji. As agroforestry gains prominence globally as a versatile production system able to support agrobiodiversity and food security for climate resilience, understanding the characteristics that contribute to its resistance and resilience to disturbance becomes increasingly important. Here we examine the effects of individual and species-specific traits, and management (planted and fallow vs forest areas) on the probability of tree stem survival and damage, and discuss the resistant and resilient qualities of trees and management actions in these systems. We found that the probability of post-cyclone survival increased as a function of wood density, irrespective of management type. Damage severity increased with tree size (diameter at breast height). Some of the species with the highest wood density were native trees, emphasizing the role of native species in agroforests, and the value of agroforests to conservation. Overall, agroforest trees experienced relatively low stem mortality (12.2%), suggesting that these agroforests may resist extreme disturbances despite their potential vulnerabilities such as landscape edge effects and altered species compositions. Our study provides insight into the potential of agroforests as resilient agroecological systems capable of withstanding escalating cyclone intensities, and the role of effective management strategies for fostering resilience amid a rapidly changing climate.
dc.description.confidentialfalse
dc.description.notesCaul Read and Publish 2024en
dc.edition.editionApril 2024
dc.format.pagination1009-1020
dc.identifier.citationMcGuigan A, Tora M, Tikonavuli V, Ticktin T. (2024). Predictors of tree damage and survival in agroforests after major cyclone disturbance in Fiji. Agroforestry Systems. 98. 4. (pp. 1009-1020).
dc.identifier.doi10.1007/s10457-024-00970-3
dc.identifier.eissn1572-9680
dc.identifier.elements-typejournal-article
dc.identifier.issn0167-4366
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/70216
dc.languageEnglish
dc.publisherSpringer Nature
dc.publisher.urihttps://link.springer.com/article/10.1007/s10457-024-00970-3
dc.relation.isPartOfAgroforestry Systems
dc.rights(c) The author/sen
dc.rights.licenseCC BYen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectHurricane
dc.subjectResilience
dc.subjectBiodiversity conservation
dc.subjectFood systems
dc.subjectPacifc
dc.titlePredictors of tree damage and survival in agroforests after major cyclone disturbance in Fiji
dc.typeJournal article
pubs.elements-id487683
pubs.organisational-groupCollege of Health

Files

Original bundle

Now showing 1 - 4 of 4
Loading...
Thumbnail Image
Name:
Published version.pdf
Size:
777.24 KB
Format:
Adobe Portable Document Format
Description:
Evidence
Loading...
Thumbnail Image
Name:
10457_2024_970_MOESM1_ESM.docx
Size:
98.57 KB
Format:
Microsoft Word XML
Description:
Evidence
Loading...
Thumbnail Image
Name:
10457_2024_970_MOESM2_ESM.xlsx
Size:
13.3 KB
Format:
Microsoft Excel
Description:
Evidence
Loading...
Thumbnail Image
Name:
10457_2024_970_MOESM3_ESM.docx
Size:
18.08 KB
Format:
Microsoft Word XML
Description:
Evidence

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
9.22 KB
Format:
Plain Text
Description:

Collections