Cantitate/Preț
Produs

Green Guide to Seashore Life Of Britain And Europe: Green Guides

Autor Bob Gibbons Ilustrat de Denys Ovenden, Melanie Perkins
en Limba Engleză Paperback – 7 sep 2016
Bloomsbury Green Guides are portable handbooks to the most commonly found species in Britain and Europe.Our coastlines are home to a wide range of animals and plants, some that are iconic sights on beaches and others that we only see when we look more closely. The Green Guide to Seashore Life makes identifying them easy for beginners and amateur naturalists alike.Concise descriptions include information on appearance, habitat and distribution and similar species. Beautiful colour illustrations of all 150 species are included.A detailed introduction includes colour photographs and information on types of seashore habitat, shore zonation and groups of seashore plants and animals.
Citește tot Restrânge

Din seria Green Guides

Preț: 3300 lei

Preț vechi: 4403 lei
-25% Nou

Puncte Express: 50

Preț estimativ în valută:
632 666$ 522£

Carte nepublicată încă

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781472927170
ISBN-10: 1472927176
Pagini: 112
Dimensiuni: 118 x 179 x 9 mm
Greutate: 0.15 kg
Editura: Bloomsbury Publishing
Colecția Bloomsbury Natural History
Seria Green Guides

Locul publicării:London, United Kingdom

Caracteristici

150 of the most common species, illustrated in colour throughout.

Notă biografică

Bob Gibbons is a renowned botanist, author and tour leader who is based in Dorset but has travelled across much of Europe and the world in search of wildlife. His previous titles include Wildflower Wonders of the World.

Recenzii

Travel and natural history writer, Bob Gibbons, explores the wide range of plants and animals to be found on Britain's coast, with concise descriptions and colour illustrations of 150 species. A great companion if you're planning a spring walk on the beach. Plus, it offers inspiration for coastal-inspired planting schemes you can try in your own plot.