Models for biomass prediction are of the form Y = b2X2 + b1X + b0 in leaves and Y = b1X + b0 in stems. Y is the dependent variable (dry weight in g), X is the independent variable (leaves: rachis

NIAID Data Ecosystem50

Vegetation survey data from Climoor fieldsite in Clocaenog Forest

高地石楠植被动态

植物生物量估算

This dataset contains vegetation survey data from an upland heath site in the Clocaenog Forest. Vegetation was surveyed in the experimental plots at the Climoor site in 1998, 1999, 2000, 2002, 2003, 2

DataCite Commons2026-03-09 更新30

Fall 2014 plant monitoring survey -- biomass calculated from shoot height and flowering status of plants in permanent plots at GCE sampling sites 1-10

植物生物量估算

长期生态监测

The biomass of plants surveyed in permanent plots at 10 GCE LTER sampling sites in October 2014 was estimated based on allometric relationships between biomass and shoot height and flowering status de

DataONE2021-05-03 更新70

Raster files catalog to forest growth simulation performed by r.recovery module (Grass Gis).

森林生长模型

生态模型校准

This repository contains all publicly available raster files to calibrate/validate the parameters of the Diffusive-logistic growth (DLG) model and generate prognostics by means of the GRASS-GIS modul

NIAID Data Ecosystem30

Appendix A. Allometric relationships for calculating pine seedling biomass.

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