Assessment of Multiple Model Algorithms and an Ensemble Model to Predict Human–Elephant Conflict in Taita Taveta County, Kenya: Implications for Conservation DOI
Tino Johansson,

Martha Munyao,

Petri Pellikka

et al.

Published: Jan. 1, 2024

Language: Английский

Farmers' perception on rice accessions in Kramdi Village of Syangja, Nepal: cultivation practices, production and challenges DOI
Nabin Lamichhane, Urmila Dhami, Sonu Sharma

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Estimating the impact of wildlife damage compensation policy on farmers’ incomes DOI
Zhuoya Ma, Jing Li, Rongyuan Chen

et al.

Journal for Nature Conservation, Journal Year: 2024, Volume and Issue: 81, P. 126709 - 126709

Published: Sept. 1, 2024

Language: Английский

Citations

3

Vegetation productivity determines the response of butterflies along elevation gradients in the trans‐Himalayas, Nepal DOI Creative Commons
Bimal Raj Shrestha, Suraj Baral, Shanta Budha‐Magar

et al.

Ecosphere, Journal Year: 2024, Volume and Issue: 15(10)

Published: Oct. 1, 2024

Abstract Environmental parameters along elevational gradients affect the number of butterflies and variety species. However, which variables play significant roles how they operate can be difficult to untangle. Here, we examine relationships between observed butterfly richness (overall subgroups) at different elevation remotely sensed environmental (vegetation productivity, surface temperature, landscape heterogeneity, moisture stress) using generalized linear models. We surveyed with a fixed‐point count method in 19 bands within 1600–5200 m above sea level Manang district, trans‐Himalayan region, north‐central Nepal. The each band was studied estimated, then interpolated across lowest highest estimate species richness. Then, selection models performed on elevations test best model support based value Akaike information criterion multimodel averaging for other variables. Altogether, 94 species, representing 20 subfamilies six families, were recorded throughout study periods. obtained cubic overall richness, Papilionidae, Hesperiidae, quadratic Nymphalidae Pieridae, Lycaenidae. In our study, vegetation productivity found have positive impact communities. Our further suggests Papilionidae Hesperiidae has strong correlation temperature heterogeneity negative associations stress but subgroups communities including showed insignificant these This provides related responses montane from Himalayas detailed studies functional behaviors potentially offer more insights into their distribution patterns ecological relationship environment.

Language: Английский

Citations

2

Spatial-temporal patterns of human-wildlife conflicts under coupled impact of natural and anthropogenic factors in Mt. Gaoligong, western Yunnan, China DOI
Yunrui Ji, Xuelei Wei, Fang Liu

et al.

Global Ecology and Conservation, Journal Year: 2022, Volume and Issue: 40, P. e02329 - e02329

Published: Nov. 11, 2022

Language: Английский

Citations

8

Distribution and Group Composition of Assamese and Rhesus Macaques in Northwestern Kathmandu, Nepal DOI
Hideshi Ogawa, Sunil Khatiwada,

Pavan Kumar Paudel

et al.

Mammal Study, Journal Year: 2024, Volume and Issue: 49(3)

Published: May 2, 2024

Language: Английский

Citations

0

Spatial patterns of human–long-tailed macaque (Macaca fascicularis) conflicts in Java Island: A comparison of two secondary data sources DOI Creative Commons
Farid Rifaie, Eko Sulistyadi, Yuli Fitriana

et al.

Journal of Asia-Pacific Biodiversity, Journal Year: 2024, Volume and Issue: 17(4), P. 653 - 662

Published: July 5, 2024

Human–macaque conflicts present a significant obstacle to conservation and management efforts in Indonesia. Long-tailed macaques, species increasingly conflict with humans, are often regarded as pests due behaviors such occasional raiding on agricultural land. This study aims offer comprehensive insights into these by comparing data from two different sources analyzing their spatial patterns identify regions occurrences. Official records show larger quantity of data, while online news supplements this. However, official quality varies, diverse formats collection methods, whereas consistently provide accessible information over longer period. Both exhibit similar global statistical patterns, indicating clustering. Local autocorrelation analysis identifies hotspot areas primarily at the borders Yogyakarta, Central Java, East Java. Discrepancies between evident High-Low class lack clustering western part Java Island records. Despite do not fully reflect actual human–macaque conflict. Standardized methods interview surveys crucial for accurately assessing this Citizen science offers potential long-term wildlife monitoring, requiring systematic collaboration among stakeholders mobilize experienced volunteers.

Language: Английский

Citations

0

Assessment of Multiple Model Algorithms and an Ensemble Model to Predict Human–Elephant Conflict in Taita Taveta County, Kenya: Implications for Conservation DOI
Tino Johansson,

Martha Munyao,

Petri Pellikka

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0