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The Mediterranean stone pine is currently on its way to domestication. Its genuine Mediterranean pine nuts are among the most expensive nuts in the world because they are mainly wild-collected from pine forests and woodlands. Despite the wide current distribution of stone pine over the whole Mediterranean biome, old-growth forests are scarce, often associated locally with dynamics on lose sands, coastal dunes or former estuary marshes. The species has been found to be genetically depauperate, putatively due to a population bottleneck in a local refugium during the Last Glacial Maximum confirmed in southern Iberia, and a possibly anthropic range expansion during Holocene. Only recently, cone harvesting and processing mechanisation have allowed for profitable pine nut production from orchard plantations. In Spain and Portugal, first elite clones have been registered for their use as grafted orchard crop.

Biomass and leaf area equations are often required to assess or model forest productivity, carbon stocks and other ecosystem services. These factors are influenced by climate, age and stand structural attributes including stand density and tree species diversity or species composition. However, such covariates are rarely included in biomass and leaf area equations. We reviewed the literature and built a database of biomass and leaf area equations for 24 European tree species and 3 introduced species. The final dataset contained 973 equations. Most of the equations were site-specific and therefore restricted to the edaphic, climatic and stand structural conditions of the given site. To overcome this limitation, the database was used to develop regional species-specific equations that can be used in a wide range of stands and to quantify the effects of climate, age and stand structure on biomass or leaf area. The analysis showed considerable inter- and intra-specific variability in biomass relationships. The intra-specific variability was related to climate, age or stand characteristics, while the inter-specific variability was correlated with traits such as wood density, specific leaf area and shade tolerance. The analysis also showed that foliage mass is more variable than stem or total aboveground biomass, both within and between species, and these biomass components have contrasting responses to age and changes in stand structure. Despite the large number of published equations, many species are still not well represented. Therefore, generic equations were developed that include species-specific wood density instead of species identity. Further improvements may be possible if future studies quantify the stand structure of individual tree neighbourhoods instead of using the stand means for all trees sampled with the given stand. © 2017 The Authors

Insect predation on seeds of forests species during the predispersal phase is a special case of plant-pest interaction in which, while plant survival and growth is not threatened, natural regeneration can be negatively affected. In the case of seeds with a high economic value, as is the case of nuts from the Mediterranean stone pine (Pinus pinea L.), predispersal predation can also result in severe economic losses. The insect-seed relationship shows complex spatiotemporal dynamics, including patterns of dependency between fruit availability and fluctuations in insect population, occurrence of insect outbreaks, spatial contagion and masting habit. In the present study, we focus on the damage caused by a native pest, the Dioryctria mendacella Stgr. moth, to cones and seeds of P. pinea, a forest species showing a marked masting habit. We firstly identified those environmental and stand-level factors controlling the spatiotemporal pattern of damage by D. mendacella, as well as the self-regulatory effect that interannual variability in seed production could have on the population dynamics of the moth. In a second phase, we constructed a predictive phenomenological model to forecast the probability of cone damage in a given location, as well as the expected patterns of spatiotemporal spread and dispersion. Our results revealed a strong correlation between the probability of damage and crop size in a given year, pointing to a dependency between feeding resources and predator population. Additionally, the probability of damage is affected by the number of damaged cones observed in the previous year, indicating temporal contagion. Cone and seed damage is also affected by the temperature during different phases of the complex life-cycle of D. mendacella, which suggests that breakout processes are synchronized within the territory and linked to the occurrence of bumper crops and favorable climatic conditions. We detected that the level of infestation at a given location is related to site and environmental conditions, with no significant pattern of contagion/spreading from stands with high resource availability to those with low availability. Damage prediction under warmer climate scenarios reveals a counterbalance among favorable/unfavorable conditions for insect expansion and expected decline in cone production, resulting in only slight changes. © 2016 Elsevier B.V.