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Studies on late Quaternary environmental dynamics (vegetation, biodiversity, climate, fire and human impact) on Mt. Kilimanjaro, comparing the dry northern with the wet southern slopes

研究乞力马扎罗山晚第四纪环境动态（植被、生物多样性、气候、火灾和人类影响），比较干燥的北部山坡和潮湿的南部山坡

基本信息

批准号：
114441958
负责人：
Professor Dr. Hermann Behling
金额：
--
依托单位：
Abteilung Palynologie und Klimadynamik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2009
资助国家：
德国
起止时间：
2008-12-31 至 2017-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/114441958?language=en
关键词：
Studies late Quaternary environmental dynamics

项目摘要

Environmental archives from different key areas on the drier northern slopes and one ice core of Mt. Kilimanjaro will be studied and compared with the results of the wetter southern slopes to reconstruct former and to predict future landscape dynamics on Mt. Kilimanjaro in order to better understand (1) local and regional ecosystems, climate and fire dynamics in a larger context, (2) ecosystem dynamics and their reaction on environmental changes, (3) connections and disjunctions of different ecosystems (afroalpine grasslands, Erica belt, mountain forests, home gardens and savannas) and their role for the development of the biodiversity hot spots in East Africa, and (4) future ecosystem, climate, fire and soil dynamics within the Global Change phenomena. (5) Based on the results palaeovegetation maps will be made. (6) Furthermore, transfer functions will be developed which allow the reconstruction of climate variables based on pollen assemblages in the environment archives. The results will contribute to a better understanding of modern and future ecosystem dynamics and to maintain and manage the high biodiversity in the East African biodiversity hot spots by governmental and non-governmental agencies.

来自较干燥的北坡和一个冰芯的不同关键区域的环境档案。将对乞力马扎罗山进行研究，并与较湿润的南部斜坡的结果进行比较，以重建前者并预测未来山体的景观动态。为了更好地了解(1)更大范围内的地方和区域生态系统、气候和火灾动态，(2)生态系统动态及其对环境变化的反应，(3)不同生态系统(非洲高山草原、埃里卡带、山地森林、家庭花园和稀树草原)的联系和分离及其对东非生物多样性热点地区发展的作用，(4)全球变化现象范围内未来的生态系统、气候、火灾和土壤动态。(5)在此基础上编制古植被图。(6)此外，还将开发能够根据环境档案中的花粉组合重建气候变量的传递函数。研究结果将有助于更好地了解现代和未来的生态系统动态，并有助于政府和非政府机构维持和管理东非生物多样性热点地区的高度生物多样性。