Nibbles: Farm subsidies, Pressing and naming plants, Cowpea primer, California crop maps, Caribbean mangoes, ABS meeting, Banana mapping, Sarada Krishnan, Indian millets, Apple varieties, Early modern bees

Brainfood: Quinoa boom, Diet affordability, Insect boom and bust, Organic & pests, Maize agroforestry, Landraces, Wheat roots, Conservation costs, Sustainable intensification, Defences & domestication, Polyploid niches, Mexican CWR, Danish apples, Diversity proxies, Grassland nutrient hotspots

R you interested in species distribution models?

If you always wanted to do species distribution modelling, it’s your lucky day. Let Robert Hijmans and Jane Elith take you by the hand.

This document provides an introduction to species distribution modeling with R. Species distribution modeling (SDM) is also known under other names including climate envelope-modeling, habitat modeling, and (environmental or ecological) niche-modeling. The aim of SDM is to estimate the similarity of the conditions at any site to the conditions at the locations of known occurrence (and perhaps of non-occurrence) of a phenomenon. A common application of this method is to predict species ranges with climate data as predictors.

Brainfood: Fox domestication, Wheat synthesis, Microscale selection, Sports, Brinjal evolution, Famous faba, Synthetic wheats, Watkins collection, Wheat genetic gains, Chinese cattle

Nibbles: Apple diversity, Nutrition, Cali crops, Sourdough 101, Orphans, Nomenclature, Wheat genome, CWR Week, Replanting