An evaluation of alternative statistical models for predicting habitat suitability for weeds

IF 2.2 3区农林科学 Q2 AGRONOMY

Weed Research Pub Date : 2022-09-14 DOI:10.1111/wre.12553

Emran Dastres, M. Edalat, Gholamreza Moayedi, E. Jahangiri, H. Pourghasemi, J. Tiefenbacher

引用次数: 0

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预测杂草生境适宜性的几种统计模型的评价

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来源期刊

Weed Research 农林科学-农艺学

CiteScore

4.30

自引率

0.00%

发文量

审稿时长

12-24 weeks

期刊介绍： Weed Research is an international peer-reviewed journal that publishes topical and innovative papers on weed science, in the English language. Its aim is to publish the best weed science from around the globe and to be the journal of choice for weed science researchers. It is the official journal of the European Weed Research Society. Papers are taken on all aspects of weeds, defined as plants that impact adversely on economic, aesthetic or environmental aspects of any system. Topics include, amongst others, weed biology and control, herbicides, invasive plant species in all environments, population and spatial biology, modelling, genetics, biodiversity and parasitic plants. The journal welcomes submissions on work carried out in any part of the world.