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Table 3 Features with the highest weights for prediction of different alpha diversity metrics for Prokaryotes and Eukaryotes in Austrian lakes

From: SEDE-GPS: socio-economic data enrichment based on GPS information

Prokaryotes

Chao1

Shannon Entropy

Simpson Diversity

Simpson Evenness

Industrial Area, Villages, Street (2-5 km)

Forests (5km)

Forests (5km)

Forests (5km)

Forests (5km)

Main street (small), married people

Forests

Main street (small), married people

Climate, Demography, City Structures

Forests (2km)

Buildings, Highways, Water, Parking, Parks

Forests (1km)

Climate, Demography, City Structures

Climate, Demography, City Structures

Forests (1km)

Buildings, Highways, Water, Parking, Parks

Main street (small), married people

Green space, small villages, Industrial area

Mining, main streets

Mining, main streets

Eukaryotes

   

Chao1

Shannon Entropy

Simpson Diversity

Simpson Evenness

Forests

Main streets

Main streets

Economy (parking, GDP, Agrarian structures), Population

Family Demography

Beach & Water

Beach & Water

Economy (parking, GDP, Agrarian structures), Population

Climate, Demography, City Structures

Picnic Site (5km)

Economy (parking, GDP, Agrarian structures), Population

Beach & Water

Altitude, Climate, Demography, City Structures

Highway Pull-ins

Towns

Towns

Climate, Demography, City Structures

Urban regions, Av. Temperature, Parks

Urban regions, Av. Temp., Parks

Highway Pull-ins

  1. For features in bold, a linear regression shows a positive relationship with the respective target variable