Lawton Douglas, Scarth Peter, Deveson Edward, Piou Cyril, Spessa Allan, Waters Cathy, Cease Arianne J.. 2022. Seeing the locust in the swarm: Accounting for spatiotemporal hierarchy improves ecological models of insect populations. Ecography, 2022 (2):e05763, 14 p.
|
Version Online first
- Anglais
Sous licence . PUB730.pdf Télécharger (2MB) | Prévisualisation |
|
|
Version publiée
- Anglais
Sous licence . 600103.pdf Télécharger (2MB) | Prévisualisation |
Url - jeu de données - Entrepôt autre : https://locust-hub-hqfao.hub.arcgis.com/
Résumé : Ecological phenomena operate at different spatial scales and are not uniform across landscapes or through time. One ecological theory that attempts to account for scaling and spatiotemporal variances is hierarchical patch dynamics. It introduces a hierarchical patch network with smaller spatiotemporal scales being nested within larger scales. However, few studies have modeled its presence within animal population dynamics. Locusts are an excellent model for investigating the spatiotemporal hierarchy of animal population dynamics, due to their high migratory capacity, large geographic ranges that extend across widely differing environments, and available long-term data on distributions. Here, we investigated the influence of preceding vegetation growth on desert locust Schistocerca gregaria and Australian plague locust Chortoicetes terminifera outbreaks on three spatial levels (species range > geographic region > land unit) and between seasons. Both species are dryland herbivores with population dynamics linked to habitat productivity pulses after rain. We used NDVI data (MODIS imagery) as a measure of vegetation growth in hierarchical generalized additive models at different scales. Locust outbreaks were either preceded by vegetation growth between 78 and 32 days (Australian plague locusts) or 32 and 20 days before (desert locust) the observation. Although prior vegetation growth characterized outbreaks of both species, the temporal pattern of NDVI differed between spatiotemporal levels. All model selection criteria selected for a similar spatial hierarchy for both species: geographic region > land unit which supports the hierarchical patch dynamics paradigm. Further, it illuminates important timing differences between geographic regions and land units for preceding vegetation growth and locust outbreaks which can help locust managers identify when and where outbreaks occur. By acknowledging the spatiotemporal patterning of locust abundance, we account for heterogeneity of population dynamics throughout species ranges. Our findings demonstrate the importance of incorporating spatiotemporal variation in population models of insects and other animals.
Mots-clés Agrovoc : modélisation environnementale, dynamique des populations, télédétection, lutte anti-insecte, collecte de données, écosystème, Schistocerca gregaria, Chortoicetes terminifera
Mots-clés géographiques Agrovoc : Australie, désert du Sahara, Afrique
Mots-clés libres : Grasshoppers, Hierarchical generalized additive models, Hierarchical patch dynamics, Insect outbreaks, Remote Sensing
Classification Agris : L20 - Écologie animale
H10 - Ravageurs des plantes
Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes
Auteurs et affiliations
- Lawton Douglas, Arizona State University (USA) - auteur correspondant
- Scarth Peter, University of Queensland (AUS)
- Deveson Edward, Australian Plague Locust Commission (AUS)
- Piou Cyril, CIRAD-BIOS-UMR CBGP (FRA) ORCID: 0000-0002-9378-9404
- Spessa Allan, Australian Plague Locust Commission (AUS)
- Waters Cathy, Arizona State University (USA)
- Cease Arianne J., Arizona State University (USA)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/600103/)
[ Page générée et mise en cache le 2024-09-16 ]