British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.
Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.
Please note: this software was written and designed before 64-bit operating systems (OS) were introduced. If you are running a 64-bit OS, such as a 64-bit version of Windows Vista or Windows 7, this software may not function. Please note that suppliers do not accept returns of sealed software that has been opened, and NHBS can therefore not refund such items. If in doubt, please contact customer services or the software supplier to enquire after compatibility before purchasing this item.
Language: Trilingual in English, German, and Spanish
Includes 99 important pest species of the family Thripidae that are encountered worldwide.
The main aim of Pest Thrips of the World is to provide assistance in thrips identification to anyone needing to identify thrips damaging crops anywhere in the world. In particular, this product will be of value to quarantine identifiers, plant health officers, virologists and others concerned with the threat that thrips pose to agricultural and horticultural crops. It is a fully illustrated visual system to adult thrips together with a molecular system that functions equally well for immature stages including eggs as well as adults.
A unique feature of Pest Thrips of the World is the inclusion of a molecular key to 55 of the included species that allows you to use ITS-RFLP results for species recognition.