Identification and scenario-based optimization of ecological corridor networks for waterbirds in typical coastal wetlands

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113147 - 113147

Опубликована: Янв. 24, 2025

Язык: Английский

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Habitat suitability and potential biological corridors for waterbirds in Yancheng coastal wetland of China

Ecological 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

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Species distribution modelling and landscape connectivity as tools to inform management and conservation for the critically endangered Himalayan brown bear (Ursus arctos isabellinus) in the Deosai National Park, Pakistan

Frontiers 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

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Background sampling for multi-scale ensemble habitat selection modeling: Does the number of points matter?

Ecological 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

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Modeling climate change impacts on the distribution of an endangered brown bear population in its critical habitat in Iran

The Science of The Total Environment, Год журнала: 2022, Номер 837, С. 155753 - 155753

Опубликована: Май 6, 2022

Язык: Английский

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Ungulates conservation in the face of human development: Mining and roads' influences on habitat and connectivity in Iran's central plateau

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102656 - 102656

Опубликована: Май 29, 2024

Язык: Английский

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Quantitative assessment of the risk of human activities on landscape fragmentation: A case study of Northeast China Tiger and Leopard National Park

The Science of The Total Environment, Год журнала: 2022, Номер 851, С. 158413 - 158413

Опубликована: Авг. 30, 2022

Язык: Английский

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Identifying human-caused mortality hotspots to inform human-wildlife conflict mitigation

Global 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

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Assessing the applicability of binary land-cover variables to species distribution models across multiple grains

Landscape 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

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Spatially heterogeneous habitat use across distinct biogeographic regions in a wide-ranging predator, the Persian leopard

Biodiversity and Conservation, Год журнала: 2023, Номер 32(6), С. 2037 - 2053

Опубликована: Март 27, 2023

Язык: Английский

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