Modified adaptive cluster sampling with conditional extension of field plots - development of response and estimation design
Description:
Together with the Chinese Academy of Forestry (CAP), a modified adaptive duster sampling (MACS) design will be developed with the overall objective to propose a cost-efficient response design for resources inventory situations in which the population is rare and clustered. It is a further development of standard adaptive duster sampling. Target objects are trees outside the forest (TOP) and rare plant species, sharing the characteristic of being relatively rare and predominantly clustered.Study area will be the dry forest formations in Western China, a priority region for the Chinese Ministry of the Environment where serious environmental problems (mainly human activity induced desertification processes) need to be addressed by forest management planning. Trees outside the forest (TOP) are important in controlling this process and should be integrated into the assessments.The technique being developed is of general relevance for information procurement in forestry and conservation planning. For the study area in Western China, it is an urgently required component for forest management planning.
Executive Institute:
Forest Inventory and Remote Sensing (AWF) Details of Forest Inventory and Remote Sensing
Parent institution:
University of Goettingen Details of University of Goettingen (Lower Saxony)
Contract period:
01. 01. 2005 - 31. 12. 2009
Funding Programme:
- DFG Individual Grants Programme Details of DFG Individual Grants Programme
Subject:
- Forestry Technology
- Forest genetics
Purpose of research:
Applied research
Funding Institutions:
- German Research Council (DFG) (DFG) Details of (DFG)
Project Management Agency:
- German Research Council (DFG) (DFG) Details of DFG