Using open-source biodiversity data to predict present and future macrofungal diversity and distribution in Europe

Earth and Planetary Sciences

• Area 5%
• Availability 5%
• Bias 17%
• Biodiversity 100%
• Carbon 5%
• Citizen 5%
• Climate 5%
• Climate Change 11%
• Collection 5%
• Context 5%
• Convention 5%
• Correction 5%
• Datum 100%
• Denmark 5%
• Digitization 5%
• Distribution (Property) 29%
• Environment 5%
• Environmental Data 5%
• Environmental Niche Modeling 11%
• Europe 100%
• Exhibit 5%
• Fauna 5%
• Filtration 11%
• Footprint 5%
• Functional Group 5%
• Fungus 5%
• Global Change 5%
• Government 5%
• History 5%
• Impact 5%
• Inference 5%
• Information 17%
• Knowledge 5%
• Model 5%
• Museum 5%
• Nutrient Cycling 5%
• Occurrence 17%
• Organism 5%
• Plant 5%
• Prediction 5%
• Research 5%
• Sample 5%
• Sampling 17%
• Sampling Bias 11%
• Selection 23%
• Size 5%
• Society 5%
• Spatial Data 5%
• Species 58%
• Species Diversity 11%
• Species Richness 5%
• Sweden 5%
• Thesis 41%
• Utility 11%

Agricultural and Biological Sciences

• Animals 6%
• Area 6%
• Bias 33%
• Biodiversity 100%
• Climate 6%
• Climate Change 13%
• Environment 6%
• Fungi 6%
• Global Change 6%
• Humans 13%
• Information 20%
• Knowledge 6%
• Models 20%
• Natural History 6%
• Nutrients 6%
• Occurrence 20%
• Organisms 6%
• Research 6%
• Sampling 33%
• Saprotroph 6%
• Selection Method 20%
• Society 6%
• Spatial Data 6%
• Species Diversity 13%
• Trees 20%