Delphine Renard & David Tilma, 2019.
sábado, 22 de junio de 2019
National food production stabilized by crop diversity
Delphine Renard & David Tilma, 2019.
Delphine Renard & David Tilma, 2019.
ncreasing global food demand, low grain reserves and climate change
threaten the stability of food systems on national to global scales. Policies to increase yields, irrigation and tolerance of crops to drought have been proposed as stability-enhancing solutions.
Here we evaluate a complementary possibility—that greater diversity of
crops at the national level may increase the year-to-year stability of
the total national harvest of all crops combined. We test this crop
diversity–stability hypothesis using 5 decades of data on annual yields
of 176 crop species in 91 nations. We find that greater effective
diversity of crops at the national level is associated with increased
temporal stability of total national harvest. Crop diversity has
stabilizing effects that are similar in magnitude to the observed
destabilizing effects of variability in precipitation. This greater
stability reflects markedly lower frequencies of years with sharp
harvest losses. Diversity effects remained robust after statistically
controlling for irrigation, fertilization, precipitation, temperature
and other variables, and are consistent with the variance-scaling
characteristics of individual crops required by theory for diversity to lead to stability. Ensuring stable food supplies is a
challenge that will probably require multiple solutions. Our results
suggest that increasing national effective crop diversity may be an
additional way to address this challenge.
Determinants of national caloric yield stability. Regression coefficients (±s.e.) show the magnitude of the effect of each variable in a multiple regression of loge(national yield stability). a, Regression coefficients using effective crop group diversity (n = 437). b, Regression coefficients using effective crop species diversity (n = 437).
Each predictor variable was standardized to zero mean and unique
variance across all nations and time periods (Methods) to enable the
comparison of effects with a change of 1σ in each predictor on the log(stability) values. Asterisks indicate the significance of each predictor. ***P < 0.001; NS, not significant (P > 0.05).
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