Trees, Bushes and Shrubs of Central Europe app for iPhone and iPad

Transform your iPhone or iPod touch into a fully functional nature handbook. You can easily identify a species, put your sightings online or browse in the comprehensive information about individual species.

All inclusive! The comprehensive information profiles present each species with its special characteristics, distribution maps, facts worth knowing and species that can easily be confused with one another.

>> 338 trees, shrubs and bushes of our native forests, woods, parks and gardens with over 1900 pictures (photos and Illustrations).
>> Up to 6 photos per species showing all essential characteristics such as growth form, leaves, buds, blossom or flowers, fruit and bark/periderm.
>> Distribution maps show the commonality of over 180 tree, bush and shrub species in Germany at a glance.
>> Interactive! You can note, locate and share your sightings online.
>> Works off-line! The nature guide and outdoor App also functions without mobile reception.
>> Put it into practice! The App was developed in collaboration with practising professionals at Hanover University and NABU and is continually developed and updated. If you have any suggestions or would like other features incorporated we would be delighted to hear from you via e-mail at iphone@kosmosde

//Summary of the most important features//

>> Fully functional off-line
>> Sort by English and Latin names or groups.
>> Simple, fault tolerant species identification.
>> Comprehensive species portraits.
>> Up to 6 photos per species.
>> Pictures of all essential characteristics (growth form, leaf, bud, flower/blossom, fruit, bark).
>> Many distribution maps
>> Identification process adpats to time of year.
>> Simple comparison of species by scrolling.
>> Plot sightings on the map, save them and upload online.
>> Identify trees in the winter by their buds.
>> Detailed glossary of important technical terms.
>> 14 different background images to choose from.
>> Dynamic operating instructions provide direct support during the identification process.