Modified adaptive cluster sampling with conditional extension of field plots - development of response and estimation design

将与中国林科院(CAP)一起开发一种改进的自适应除尘采样(MACS)设计，总体目标是针对种群稀少和聚集的资源清查情况提出一种经济高效的响应设计。它是对标准自适应除尘采样的进一步发展。研究对象为林外树木(顶部)和珍稀植物物种，具有相对稀有和以聚集为主的特点。研究区域将以中国西部的干燥林层为研究区域，该地区是中国环境部的优先区域，那里严重的环境问题(主要是人类活动导致的荒漠化过程)需要通过森林管理规划来解决。林外树木(顶部)在控制这一过程中很重要，应纳入评估。正在开发的技术对林业和养护规划中的信息采购具有普遍意义。对于中国西部的研究区来说，它是森林经营规划的迫切需要的组成部分。

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.