Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(38), С. 89597 - 89615
Опубликована: Июль 16, 2023
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(38), С. 89597 - 89615
Опубликована: Июль 16, 2023
Язык: Английский
Ecological Indicators, Год журнала: 2025, Номер 171, С. 113147 - 113147
Опубликована: Янв. 24, 2025
Язык: Английский
Процитировано
3Ecological Indicators, Год журнала: 2023, Номер 148, С. 110090 - 110090
Опубликована: Март 5, 2023
Yancheng coastal wetland, as an important part of the East Asian–Australasian Flyway, provided habitat for more than 200 migratory waterbirds by rest and over-winter. After it was listed a “World Heritage List” in 2019, protection waterfowl wetland has attracted extensive attention from international community. As indicator species ecosystem health, have practical significance wetlands. Due to long-term impact human activities, waterbird habitats are facing threat fragmentation lose, posing serious challenge its survival diversity. Based on survey data obtained Gruiformes, Charadriiformes, Anseriformes during whole years 2017 2021, this paper used Maxent software modeling niches distributions, comprehensive evaluation method based fuzzy mathematics, Linkage Mapper model assess suitability distribution waterbirds, identify gaps potential biological corridors wetland. The results showed that anthropogenic disturbance were decisive factors affecting selection waterbirds. suitable 23868, 22670, 24870 ha, respectively. area 121,930 concentrated study area's central southern coast. Sheyang estuary identified vital conservation gap area. Meanwhile, total 33 longest corridor 18.78 km, shortest 0.09 km. Our research can provide scientific support improvement diversity, together with achievements ecological sustainable situation between environmental economic development.
Язык: Английский
Процитировано
43Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 12
Опубликована: Янв. 13, 2025
The main cause of the global threat to large carnivore populations living in high-altitude areas is human pressure. Himalayan brown bear ( Ursus arctos isabellinus , hereafter bear) listed as a critically endangered species, and it dominates higher altitudes North Western landscapes. Here, we used species distribution modelling landscape connectivity find bears’ suitable habitats corridors Deosai National Park (DNP) surrounding areas. Species models detected bear’s habitat 1,125 km 2 which ca. 73% was covered by DNP. most crucial predictors determining were elevation—particularly if between 3,500 4,500 meters above sea level—as well distance from rivers, cattle, DNP borders. We discovered robust among presence points core study area, particularly within boundaries, using electrical circuit theory models. Landscape values indeed low some outside close confines. Based on our findings, imperative protect that allow bears migrate patches, beyond park’s improve conservation.
Язык: Английский
Процитировано
1Ecological Informatics, Год журнала: 2022, Номер 72, С. 101914 - 101914
Опубликована: Ноя. 13, 2022
Ensemble habitat selection modeling is becoming a popular approach among ecologists to answer different questions. Since we are still in the early stages of development and application ensemble modeling, there remain many questions regarding performance parameterization. One important gap, which this paper addresses, how number background points used train models influences model. We an empirical presence-only dataset three selections scale-optimized using six algorithms (GLM, GAM, MARS, ANN, Random Forest, MaxEnt). tested four combinations component models: (a) equal numbers presences, (b) equaled ten times (c) 10,000 points, (d) optimized for each Among regression-based approaches, MARS performed best when built with points. machine learning models, RF presences AUC indicated that performing model was including while TSS increased as increased. found trained optimal outperformed ensembles same although differences were slight. When single method, can perform better than model, but fluctuates not properly selected. On other hand, provides consistently high accuracy regardless point sampling approach. Further, optimizing within provide improvement. suggest evaluating more across multiple species investigate might affect scenarios.
Язык: Английский
Процитировано
32The Science of The Total Environment, Год журнала: 2022, Номер 837, С. 155753 - 155753
Опубликована: Май 6, 2022
Язык: Английский
Процитировано
31Ecological Informatics, Год журнала: 2024, Номер 81, С. 102656 - 102656
Опубликована: Май 29, 2024
Язык: Английский
Процитировано
8The Science of The Total Environment, Год журнала: 2022, Номер 851, С. 158413 - 158413
Опубликована: Авг. 30, 2022
Язык: Английский
Процитировано
25Global Ecology and Conservation, Год журнала: 2022, Номер 38, С. e02241 - e02241
Опубликована: Июль 22, 2022
Humans are responsible for over a quarter of all wildlife mortality events across the globe. The pressure this puts on populations contributes to decline many at-risk species. To minimize human-caused and reverse population declines in species world, we first need know where these happening or likely occur since managers public agencies often have limited resources devote problem. As such, our objective was develop modeling approach delineate hotspots regions with data. We used internet search engines national media collect data brown bear (Ursus arctos) Iran from 2004 2019. then developed spatially-explicit Maximum Entropy (MaxEnt) model using anthropogenic environmental variables predict probability mortality. were able 7000 km2 as hotspots, along geographical locations those hotspots. This provides information that can help identify critical conflict mitigation efforts be implemented reduce potential However, more targeted studies such surveys local people will needed inside identified methodology assess attitudes humans toward different species, informing specific actions made. Finally, suggest systematic is lacking.
Язык: Английский
Процитировано
24Landscape Ecology, Год журнала: 2024, Номер 39(3)
Опубликована: Март 4, 2024
Abstract Context Species distribution models are widely used in ecology. The selection of environmental variables is a critical step SDMs, nowadays compounded by the increasing availability data. Objectives To evaluate interaction between grain size and binary (presence or absence water) proportional (proportion water within cell) representation cover variable when modeling bird species distribution. Methods eBird occurrence data with an average number records 880,270 per across North American continent were for analysis. Models (via Random Forest) fitted 57 species, two seasons (breeding vs. non-breeding), at four grains (1 km 2 to 2500 ) using as variable. Results models’ performances not affected type adopted (proportional binary) but significant decrease was observed importance form. This especially pronounced coarser during breeding season. Binary useful finer sizes (i.e., 1 ). Conclusions At more detailed ), simple presence certain land-cover can be realistic descriptor occurrence. particularly advantageous collecting habitat field simply recording significantly less time-consuming than its total area. For grains, we recommend variables.
Язык: Английский
Процитировано
6Biodiversity and Conservation, Год журнала: 2023, Номер 32(6), С. 2037 - 2053
Опубликована: Март 27, 2023
Язык: Английский
Процитировано
12