ArticleEcology and evolution2024
Potential distribution patterns and species richness of avifauna in rapidly urbanizing East China.
Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Integrating MaxEnt and PLUS for Predictive Modeling of Mangrove Suitability and Land Use Impacts in Coastal Guangdong, China.Ecology and evolution · 2025Article
- Evaluating Climate Change Effects on Swan Habitats Within China: Adaptive Strategies for Sustainable Conservation.Ecology and evolution · 2025Article
- Divergent Bird Diversity Patterns Among Four Airports in the Same Bioregion: Assessing Local-Scale Drivers of Bird Community Assembly.Ecology and evolution · 2025Article
- Potential distribution patterns and species richness of avifauna in rapidly urbanizing East China.Ecology and evolution · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, increased species extinction and habitat loss have significantly reduced biodiversity, posing a serious threat to both nature and human survival. Environmental factors strongly influence bird distribution and diversity. The potential distribution patterns and species richness offer a conservation modeling framework for policymakers to assess the effectiveness of natural protected areas (PAs) and optimize their existing ones. Very few such studies have been published that cover a large and complete taxonomic group with fine resolution at regional scale. Here, using birds as a study group, the maximum entropy model (MaxEnt) was used to analyze the pattern of bird species richness in Jiangsu Province. Using an unparalleled amount of occurrence data, we created species distribution models (SDMs) for 312 bird species to explore emerging diversity patterns at a resolution of 1 km
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