Scaling laws in ecology, intended both as functional relationships among ecologically relevant quantities and the probability distributions that characterize their occurrence, have long attracted the interest of empiricists and theoreticians. Empirical evidence exists of power laws associated with the number of species inhabiting an ecosystem, their abundances, and traits. Although their functional form appears to be ubiquitous, empirical scaling exponents vary with ecosystem type and resource supply rate. The idea that ecological scaling laws are linked has been entertained before, but the full extent of macroecological pattern covariations, the role of the constraints imposed by finite resource supply, and a comprehensive empirical verification are still unexplored. Here, we propose a theoretical scaling framework that predicts the linkages of several macroecological patterns related to species' abundances and body sizes. We show that such a framework is consistent with the stationary-state statistics of a broad class of resource-limited community dynamics models, regardless of parameterization and model assumptions. We verify predicted theoretical covariations by contrasting empirical data and provide testable hypotheses for yet unexplored patterns. We thus place the observed variability of ecological scaling exponents into a coherent statistical framework where patterns in ecology embed constrained fluctuations.macroecology | species-area relation | Kleiber's law | allometry | power law A prototypical example of the ecological scaling law is the species-area relationship (SAR) on which island biogeography is based (1). It states that the number of species S inhabiting disjoint ecosystems increases as a power of their area; i.e., S ∝ A z , where z is the SAR scaling exponent. The widespread interest in scaling laws (2-8) lies in their intrinsic predictive power, e.g., the use of SAR to forecast how many species might go extinct if the available habitat shrinks or is fragmented into smaller unconnected parts. Precise estimates of the scaling exponents' values are thus crucial. Empirical evidence, however, shows that they vary considerably across ecosystems (9-11), suggesting that exponents of scaling ecological laws are far from universal, although the power-law form proves remarkably robust (Fig. 1).Scaling patterns in ecology have mostly been studied within independent ecosystems, leading to canonical estimates of scaling exponents which may not be simultaneously achievable in a single ecosystem due to extant and consistency constraints. Although ecological scaling laws have historically been treated as disconnected, it is instructive to show by a simple example that they are functionally related. Consider a community hosted within a resource-limited ecosystem of area A whose ith species is characterized by abundance ni and typical body mass mi . Empirical evidence suggests that the following patterns can be described at least approximately by power laws, disregarding possible cutoffs at large sizes: (i) the...