Four decades of research and monitoring the populations of kangaroos in New South Wales: one of the best long-term datasets in Australia
Notice bibliographique
Résumé
ABSTRACT The aim of this paper is to highlight long-term (four decades) research and monitoring the populations of the four species of large kangaroos in New South Wales (NSW). Kangaroos are counted by aerial surveys using two types of aircraft: fixed-wing and helicopters. The NSW Commercial Kangaroo Harvest Management Plan 2017–21 states that harvest quotas are set at between 15 and 17% of the estimated kangaroo populations. As an example of the scale and intensity of kangaroo distribution and harvesting in NSW, the total number of kangaroos estimated to be present in the 14 commercial zones in 2017 was 17,457,257. The number present in each commercial zone varies widely across the state, with the Narrabri zone leading the list with an estimated 2,215,589 kangaroos in 2017. More than half of the kangaroos in NSW were eastern grey kangaroos (9,298,261 in 2017). The zone with the highest number of red kangaroos (1,567,598 in 2017) was in the far west of the State, in the Tibooburra commercial zone. The total number in the commercial take in 2017 was 454,626, representing 16% of the quota allowed to be taken, and 2.6% of the total number of kangaroos in the commercial zone. The four decades of records of the population sizes show that the numbers vary between about 5 million and 18 million for the western plains, where the counting has been consistent over the same area since the beginning of the surveys in 1975. The periods of decline correspond with periods of drought, with the Millennium drought showing a considerable dip to a low point in kangaroo numbers in 2005. Initial assessments from data dominated by drought found recent rainfall was the best predictor of rate of increase in kangaroo numbers, but analyses of a longer time series found rainfall with a longer time-lag was most influential. In the Tibooburra commercial zone, there has been a 4-fold change, with the highest number (1,567,598) recorded in 1998, the lowest number in 2006 (361,506), and equally high numbers (1,567,589) again in 2016. The short answers to regular questions of kangaroo resilience in relation to commercial harvesting, or about allowing culling where rural landholders are adversely affected by kangaroo numbers, are that the data show the kangaroo populations of NSW to be large and widespread and not declining because of either the commercial harvest or culling. While harvesting and culling remain as political matters, our view is that the debate needs to be based on long-term datasets that are readily accessible and reliable. In our view, these datasets not only fulfil that requirement, but are textbook material; they can be summarised into one graph that covers decades, or expanded to show the fluctuations in the numbers of each species in each zone for each year.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».