The data set contains information on aboveground vegetation traits of > 100 georeferenced locations within ten temperate pre-Alpine grassland plots in southern Germany. The grasslands were sampled in April 2018 for the following traits: bulk canopy height; weight of fresh and dry biomass; dry weight percentage of the plant functional types (PFT) non-green vegetation, legumes, non-leguminous forbs, and graminoids; total green area index (GAI) and PFT-specific GAI; plant water content; plant carbon and nitrogen content (community values and PFT-specific values); as well as leaf mass per area (LMA) of PFT. In addition, a species specific inventory of the plots was conducted in June 2020 and provides plot-level information on grassland type and...
Grassland ecosystems cover around 40% of the entire Earth's surface. Therefore, it is necessary to g...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
Grassland ecosystems cover around 40% of the entire Earth’s surface. Therefore, it is necessary to g...
The data set contains information on aboveground vegetation traits of > 100 georeferenced locations ...
This study was carried out within the Biodiversity Exploratories (www.biodiversity-exploratories.de)...
Pastures and natural grasslands are an important part of the pre-Alpine and Alpine landscape ranging...
Grasslands in their various forms of appearance characterize the pre-Alpine landscape. Despite the e...
Dataset contains data on biomass distribution, soil characteristics and trait data for 52 temperate ...
Data description paperThe development and validation of hydroecological land-surface models to simul...
There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and ...
There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and ...
The development and validation of hydroecological land-surface models to simulate agricultural areas...
Aim: Assess the potential of new predictors (land use, edaphic factors and high-resolution topograph...
Aim: Assess the potential of new predictors (land use, edaphic factors and high-resolution topograph...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
Grassland ecosystems cover around 40% of the entire Earth's surface. Therefore, it is necessary to g...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
Grassland ecosystems cover around 40% of the entire Earth’s surface. Therefore, it is necessary to g...
The data set contains information on aboveground vegetation traits of > 100 georeferenced locations ...
This study was carried out within the Biodiversity Exploratories (www.biodiversity-exploratories.de)...
Pastures and natural grasslands are an important part of the pre-Alpine and Alpine landscape ranging...
Grasslands in their various forms of appearance characterize the pre-Alpine landscape. Despite the e...
Dataset contains data on biomass distribution, soil characteristics and trait data for 52 temperate ...
Data description paperThe development and validation of hydroecological land-surface models to simul...
There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and ...
There is a growing demand for spatially explicit assessment of multiple ecosystem services (ES) and ...
The development and validation of hydroecological land-surface models to simulate agricultural areas...
Aim: Assess the potential of new predictors (land use, edaphic factors and high-resolution topograph...
Aim: Assess the potential of new predictors (land use, edaphic factors and high-resolution topograph...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
Grassland ecosystems cover around 40% of the entire Earth's surface. Therefore, it is necessary to g...
In the MACSUR project, there are several grassland models in use that were designed for and adjuste...
Grassland ecosystems cover around 40% of the entire Earth’s surface. Therefore, it is necessary to g...