Tropical Plants, Journal Year: 2020, Volume and Issue: 0(0), P. 1 - 11
Published: Jan. 1, 2020
Language: Английский
Tropical Plants, Journal Year: 2020, Volume and Issue: 0(0), P. 1 - 11
Published: Jan. 1, 2020
Language: Английский
Published: March 14, 2025
Northeast India, which is part of the Himalayan and Indo-Burma global hotspot, has excellent potential for animal husbandry, but veterinary care inadequate. The reporting ethnoveterinary medicine (EVM) practices scarce, despite adequate bioresources looming threat traditional knowledge disappearance. Therefore, this study was conducted to determine probable localities tracing conserving cultural/ethnoveterinary associated with EVM species. MaxEnt species distribution modelling adopted in precisely delineate habitats different suitability classes habitat-controlling factors. Model validity ascertained using common evaluator AUC (0.700 0.847) model-specific (presence-only) CBI (0.495 0.945) values. three vital variables contributing habitat prediction were bio17 (precipitation driest quarter), bio4 (temperature seasonality), bio2 (mean diurnal range) region. corresponding ranges these variables, 20 80 mm, 300 800 (ratio), 7 13 °C, respectively, controlled distribution. suitable studied ranged between 203,655 (78%) 262,155 (>99%) km2, out available 262,185 km2. Potentially unreported areas many districts could be used exploration practices, recording EVM, otherwise may lost future. At same time, a moderately highly area, if needed, introduction or reintroduction increasing resource base. data generated useful policymakers other stakeholders.
Language: Английский
Citations
0Geographica Pannonica, Journal Year: 2024, Volume and Issue: 28(1), P. 53 - 70
Published: Jan. 1, 2024
This study utilizes satellite-based rainfall CHIRPS to evaluate GCMs-CMIP6 models over Sudan from 1985 2014. Overall, the GCMs of BCC-CSM2-MR, CAMS-CSM1-0, CESM2, ECEarth3-Veg, GFDL-ESM4, MIROC-ES2L, and NorESM2-MM are well reproduced in unimodal pattern June September (JJAS), hence employed calculate Multi-Model Ensemble (MME). Then, we examine capability MME replicating precipitation patterns on annual seasonal scales using numerous ranking metrics, including Pearson Correlation Coefficient (CC), Standard Deviation (SD), Taylor Skill Score (TSS), Mean Absolute Error (MAE), absolute bias (BIAS), and, normalized mean root square error (RMSD). The results show that has lowest slightly overestimates most parts our domain, whilst, others (ACCESS-CM2, CNRM-CM6-1, CNRM-CM6-1-HR, CNRM-ESM2-1, FGOALS-f3-L, FGOALS-g3) consistently overestimate referring data, respectively, but FIO-ESM-2-0 underestimates value. Moreover, MIROC-ES2L demonstrate better performance than other models. Finally, a correction (BC) technique, namely Delta BC, adjust model products through monsoon seasons. applied technique revealed remarkable improvement against observations, with an 0 - 18% original. However, after
Language: Английский
Citations
3Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03281 - e03281
Published: Oct. 1, 2024
Language: Английский
Citations
1Sahel Journal of Life Sciences FUDMA, Journal Year: 2024, Volume and Issue: 2(1), P. 51 - 61
Published: March 31, 2024
Mushrooms, as part of the fungal kingdom, are essential components in nutrient cycling and carbon retention terrestrial ecosystems. Monitoring impact climate change on fungi their natural habitat is difficult because most species reside below soil surface. As a result few reported occurrence records Nigeria, we model distribution two edible mushrooms, namely, Pleurotus ostreatus Macrolepiota procera, using MaxEnt to predict potential future range shifts under different scenarios. In this study, have calculated high performances based Area Under Curve (AUC) values generated (0.778-0.873). modeling approach, were predicted an expansion localized fundamental niches, pointing influence precipitation important macroclimatic predictor. Highly suitable habitats for discovered primarily Southern with less suitability Northcentral zone 2050. The models study do not tell missing geographical information, which could be achieved through citizen science biodiversity conservation. However, they may used explore potentialities, such understanding possible patterns mushroom Nigeria. This can serve useful baseline enhance utilization conservation efforts these macrofungi change, loss, rapid urbanization.
Language: Английский
Citations
1Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11
Published: Dec. 23, 2024
Hainan medaka ( Oryzias curvinotus ) is a small euryhaline fish species native to the northern margin of South China Sea. Our long-term field observations indicate concerning decline in its wild resources. Climate change, an uncontrollable factor, has altered species’ distribution pattern. In this study, we simulated shifts range O. during Last Glacial Maximum (LGM), current, and next one hundred year, analyzed habitat attributes. The results demonstrate that bio2 (mean diurnal temperature) crucial factor shaping . simulation reveal current habitats are located coastal areas Vietnam, northeastern Province, Guangdong Province Guangxi Zhuang Autonomous Region, few Taiwan China, covering total area 17.82×10 4 km 2 Highly suitable mainly concentrated Hai Phong, Nam Dinh, Thanh Hoa central part Leizhou Peninsula, west coast Pearl River Estuary. For tropical medaka, impact LGM was relatively minor, there were extensive historical times, including three refugia. Currently, only Refugium near Guanghai Town, Taishan County, Jiangmen City, remains, while other two refugia have submerged below sea level. Future climate warming under different carbon emission levels projected cause short-term expansion, followed by relief expansion. By 2100, potential slightly larger than scenario. It noteworthy future scenarios, highly will not migrate northward but expand 21°N latitude. Overall, expected be threatened future. study provides dynamic data, which theoretical basis for development conservation management medaka.
Language: Английский
Citations
0Journal for Nature Conservation, Journal Year: 2024, Volume and Issue: 82, P. 126737 - 126737
Published: Sept. 20, 2024
Language: Английский
Citations
0Tropical Plants, Journal Year: 2020, Volume and Issue: 0(0), P. 1 - 11
Published: Jan. 1, 2020
Language: Английский
Citations
0