Aim of the study: To present a new spatiotemporal model for Pinus pinea L. annual cone production with validity for Spanish Northen Plateau and Central Range regions. The new model aims to deal with detected deficiencies in previous models: temporal shortage, overestimation of cone production on recent years, incompatibility with data from National Forest Inventory, difficulty for upscaling and ignorance of the inhibitory process due to resource depletion.Area of study: Spanish Northern Plateau and Central Range regions, covering an area where stone pine occupies more than 90,000 haMaterial and methods: Fitting data set include 190 plots and more than 1000 trees were cone production has been annually collected from 1996 to 2014. Models were...
ReviewUmbrella pine (Pinus pinea L.) cones take three years to develop. With the increasing frequen...
Pinus pinea stands have been identified as one of the target species for agroforestry systems in Eur...
Producción CientíficaEnvironmental variability and site productivity relationships, estimated by mea...
Aim of the study: To present a new spatiotemporal model for Pinus pinea L. annual cone production wi...
Aim of study: Our main goal is to determine the relationship between cone production and radial grow...
Kernels found in stone pinecones are of great economic value, often surpassing timber income for mos...
Pinus pinea produces the most expensive pine nuts worldwide, with a masting habit (variable cone pro...
Background: Predictive models shed light on aboveground fungal yield dynamics and can assist decisio...
Seed production of trees is key to natural regeneration of forests and to successful conservation ma...
Pinus pinea is characterized by phenotypic plasticity, tolerance to harsh soils and climates, but lo...
Wood formation is the primary biological process through which carbon is durably sequestered in wood...
Aim of the study: We assessed the ability of the 3-PG process-based model to accurately predict grow...
Stone pine (Pinus pinea) grows in natural stands within the Mediterranean basin and its nut is highl...
Doutoramento em Engenharia Florestal - Instituto Superior de AgronomiaThe aim of present thesis was ...
A yield model was developed to simulate silviculture alternatives for Pinus pinea L. in north-east S...
ReviewUmbrella pine (Pinus pinea L.) cones take three years to develop. With the increasing frequen...
Pinus pinea stands have been identified as one of the target species for agroforestry systems in Eur...
Producción CientíficaEnvironmental variability and site productivity relationships, estimated by mea...
Aim of the study: To present a new spatiotemporal model for Pinus pinea L. annual cone production wi...
Aim of study: Our main goal is to determine the relationship between cone production and radial grow...
Kernels found in stone pinecones are of great economic value, often surpassing timber income for mos...
Pinus pinea produces the most expensive pine nuts worldwide, with a masting habit (variable cone pro...
Background: Predictive models shed light on aboveground fungal yield dynamics and can assist decisio...
Seed production of trees is key to natural regeneration of forests and to successful conservation ma...
Pinus pinea is characterized by phenotypic plasticity, tolerance to harsh soils and climates, but lo...
Wood formation is the primary biological process through which carbon is durably sequestered in wood...
Aim of the study: We assessed the ability of the 3-PG process-based model to accurately predict grow...
Stone pine (Pinus pinea) grows in natural stands within the Mediterranean basin and its nut is highl...
Doutoramento em Engenharia Florestal - Instituto Superior de AgronomiaThe aim of present thesis was ...
A yield model was developed to simulate silviculture alternatives for Pinus pinea L. in north-east S...
ReviewUmbrella pine (Pinus pinea L.) cones take three years to develop. With the increasing frequen...
Pinus pinea stands have been identified as one of the target species for agroforestry systems in Eur...
Producción CientíficaEnvironmental variability and site productivity relationships, estimated by mea...