Predicting the potential distribution of the invasive species, Ophelimus maskelli (Ashmead) (Hymenoptera: Eulophidae), and its natural enemy Closterocerus chamaeleon (Hymenoptera: Eulophidae), under current and future climate conditions DOI
Lifang Cheng, Minmin Niu,

Xiaojun Zhao

et al.

Journal of Economic Entomology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Abstract Invasive species pose a threat to ecosystems and humans worldwide, which is exacerbated by climate change, causing the expansion of distributions. Ophelimus maskelli (Ashmead) (Hymenoptera: Eulophidae) causes leaf drying shedding in eucalyptus trees, forming blister-like galls that negatively impact growth trees. Closterocerus chamaeleon recognized parasitoid O. maskelli. This study used MaxEnt CLIMEX models predict potential distribution under current future scenarios for its natural enemy, C. chamaeleon. The model result indicated isothermality was most critical factor predicting maskelli, while mean temperature driest quarter Under conditions, predicted wider smaller than model. prediction results South America Africa were suitable SSP245 potentially regions these expanded, SSP126 scenario, region contracted significantly. A1B A2 scenarios, marginally areas increased, moderately highly decreased. provides theoretical basis creating early monitoring, quarantine, control methods invasive pests.

Language: Английский

Evaluating the Impact of Climate Change on the Asia Habitat Suitability of Troides helena Using the MaxEnt Model DOI Creative Commons

Fengrong Yang,

Quanwei Liu, Jun‐Yi Yang

et al.

Insects, Journal Year: 2025, Volume and Issue: 16(1), P. 79 - 79

Published: Jan. 14, 2025

Butterflies are highly sensitive to climate change, and Troides helena, as an endangered butterfly species, is also affected by these changes. To enhance the conservation of T. helena effectively plan its protected areas, it crucial understand potential impacts change on distribution. This study utilized a MaxEnt model in combination with ArcGIS technology predict global suitable habitats under current future conditions, using species’ distribution data relevant environmental variables. The results indicated that provided good prediction accuracy for helena. Under scenario, species primarily distributed tropical regions, high suitability areas concentrated rainforest climates. In scenarios, habitat medium categories generally show expansion trend, which increases over time. Especially SSP5-8.5 2090s, area projected increase 42.85%. analysis key factors revealed precipitation wettest quarter (Bio16) was most significant factor affecting has demands temperature can adapt warming. valuable identifying optimal provides reference efforts.

Language: Английский

Citations

0
A Host Availability-Driven Model for Predicting the Distribution of Red Palm Weevil in China DOI
Umer Hayat, M. Ahmad,

Waqar Sattar

et al.

Crop Protection, Journal Year: 2025, Volume and Issue: unknown, P. 107176 - 107176

Published: Feb. 1, 2025

Language: Английский

Citations

0
Prediction of the spatial distribution of vine weevil under climate change using multiple variable selection methods DOI Creative Commons
Ga‐Young Kim, Wang‐Hee Lee

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 6, 2025

Language: Английский

Citations

0
Assessing the Potential Distribution of Pseudoechthistatus (Coleoptera: Cerambycidae) in China Under Climate Change Using Species Distribution Models DOI Creative Commons
Liang Zhang, Ping Wang, Guanglin Xie

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Climate change will lead to changes in biological ecosystems, which may affect the geographic distribution of Pseudoechthistatus and thus alter extent spatial pattern its habitat. plays an important role biodiversity has significant ecological value. This study utilized optimized MaxEnt model predict predicted China for current future (2050s 2070s). The results show that high prediction accuracy with AUC values higher than 0.97 both training testing. most influential factors contributing were temperature seasonality (Bio4) isothermality (Bio3), accounting 38.8% 28.2%, respectively. Furthermore, southern remains a region suitability species diversity. However, Beijing climate center system (BCC‐CSM2‐MR) predicts decrease suitable areas , while interdisciplinary research on (MIROC6) increase medium low . Additionally, significantly pattern, area by 6.64%–28.01% under BCC‐CSM2‐MR 6.14%–18.61% MIROC6 model. can improve understanding geographical context provide scientific basis identification potentially habitats development stable conservation.

Language: Английский

Citations

0
Association of Carbon Pool with Vegetation Composition along the Elevation Gradients in Subtropical Forests in Pakistan DOI Open Access

Inam Ullah Khan,

Umer Hayat, Lushuang Gao

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1395 - 1395

Published: Aug. 10, 2024

As the most important way to mitigate climate change, forest carbon storage has been subject of extensive research. A comprehensive study was carried out investigate influence elevation gradients and diameter classes on growth, composition, diversity, pools Bagh Drush Khel Forest area. Research revealed that significantly influenced in forests. At lower elevations, Eucalyptus camaldulensis dominant species, with Olea ferruginea as a co-dominant whereas at higher Pinus roxburghii species Quercus incana species. Regeneration elevations maximum number saplings seedlings P. roxburghii. Species diversity association negative (R2 = −0.44; p < 0.05—Shannon Index). Soil organic (SOC non-significant while positive DBH 0.37; 0.05). Overall, pool breast height (DBH) were −0.73; 0.05) −0.45; Litter biomass correlated positively 0.25; 0.11; 0.05), deadwood negatively −0.25; no effect observed for classes. The highest stock (845.89 t C/ha) calculated low which decreased (516.27 high elevations. overall (2016.41 respectively. total six tree found site. Future research is essential health monitoring understanding fine-scale impacts. This offers methodological framework similar investigations unexplored yet potentially significant regions worldwide.

Language: Английский

Citations

0
Predicting the potential distribution of the invasive species, Ophelimus maskelli (Ashmead) (Hymenoptera: Eulophidae), and its natural enemy Closterocerus chamaeleon (Hymenoptera: Eulophidae), under current and future climate conditions DOI
Lifang Cheng, Minmin Niu,

Xiaojun Zhao

et al.

Journal of Economic Entomology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Abstract Invasive species pose a threat to ecosystems and humans worldwide, which is exacerbated by climate change, causing the expansion of distributions. Ophelimus maskelli (Ashmead) (Hymenoptera: Eulophidae) causes leaf drying shedding in eucalyptus trees, forming blister-like galls that negatively impact growth trees. Closterocerus chamaeleon recognized parasitoid O. maskelli. This study used MaxEnt CLIMEX models predict potential distribution under current future scenarios for its natural enemy, C. chamaeleon. The model result indicated isothermality was most critical factor predicting maskelli, while mean temperature driest quarter Under conditions, predicted wider smaller than model. prediction results South America Africa were suitable SSP245 potentially regions these expanded, SSP126 scenario, region contracted significantly. A1B A2 scenarios, marginally areas increased, moderately highly decreased. provides theoretical basis creating early monitoring, quarantine, control methods invasive pests.

Language: Английский

Citations

0