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Exploring the changing process of the geographical distribution pattern of Oliv. and its main influencing factors since the last interglacial period can provide a scientific basis for the effective protection and management of the species. The MaxEnt model was used to construct the potential distribution areas of in different periods such as the last interglacial (LIG), the last glacial maximum (LGM), the mid-Holocene (MID), and the current and future (2050s and 2070s). On the premise of discussing the influence of dominant environmental factors on its distribution model, the suitable area changes of under different ecological climate situations were quantitatively analyzed. (1) The AUC and TSS values predicted by the optimized model were 0.959 and 0.835, respectively, indicating a good predictive effect by the MaxEnt model; the potential suitable areas for in the current period are mainly located in Southwest China, which are wider compared to the actual habitats. (2) Jackknife testing showed that the lowest temperature in the coldest month (Bio6), elevation (Elev), seasonal variation coefficient of temperature (Bio4), and surface calcium carbonate content (T-CACO) are the dominant environmental factors affecting the distribution of . (3) From the last interglacial period to the current period, the total suitable area of showed a decreasing trend; the distribution points of populations in mid-Holocene period may be the origin of the postglacial population, and Southwest China may be its glacial biological refuge. (4) Compared with the current period, the total suitable area ranges of in China in the 2050s and 2070s decreased, and the centroid location of its total fitness area all migrated to the northwest, with the largest migration distance in 2070s under the SSPs 7.0 climate scenario. Temperature was the principal factor influencing the geographical distribution of . With global warming, the range of suitable areas will show a shrinking trend, with a shift toward higher-latitude regions. Ex situ conservation measures could be taken to preserve its germplasm resources.
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http://dx.doi.org/10.1002/ece3.11710 | DOI Listing |
J Craniofac Surg
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Department of Plastic and Reconstructive Surgery, Hanoi Medical University.
Introduction: Complex soft tissue injuries in the facial area can arise from various causes. Surgeons face significant challenges when reconstructing these injuries, as they must select appropriate materials based on texture and color, while also considering their composition and properties. The anterolateral thigh (ALT) flap has emerged as a versatile option in clinical reconstructive surgery, offering many advantages over other free flaps.
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March 2025
Department of Landscape Architecture and Urban Planning, Texas A&M University.
Urban green space disparities persist amid rapid urbanization, widening the supply-demand gap between parks and developed area. Population density is a critical determinant in estimating park visitors, defining suitable park locations, and allocating facilities for park accessibility. Conventionally, population density data were used as a foundational basis for urban green space planning decisions, often derived from sources like the US Census Bureau, primarily reflecting "nighttime residential" distribution.
View Article and Find Full Text PDFFront Physiol
August 2025
Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China.
Background: Pulsed electric field ablation (PFA) techniques for treating cardiac arrhythmias have attracted considerable interest. For example, atrial fibrillation can be effectively treated by pulmonary vein isolation using PFA. However, some arrhythmias originate deep within the myocardium, making them difficult to reach with conventional ablation methods.
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September 2025
Laboratory of Wildlife Biology and Medicine, Department of Environmental Veterinary Science, Graduate School of Veterinary Medicine Hokkaido University Sapporo Japan.
The king cobra (), the world's largest venomous snake, is a vulnerable species with an expanding distribution in Nepal. This study modeled its current climatically suitable habitat and predicted future changes (2050 and 2070) under the SSP2-4.5 climate change scenario.
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