关键词: 森林生态系统, 草地生态系统, 协同方法, 大数据, 大数据科学, 网络的网络, 挑战与机遇

Abstract: Humaninduced global changes (e.g. land use/land cover changes, climate change, elevated atmospheric CO2, atmospheric nitrogen deposition) have brought about several variations in the traits, interspecies relationship, species distribution, and biodiversity of biological organism. And further, as the biological organism is the main body of ecosystem, the changes have already had an impact on the ecosystem process and function, and consequently our human survival and social sustainable development. We have combined global change experiments with environmental gradient methods to study the response and acclimation of major forest ecosystems and grassland ecosystems to global change in china. And we had already achieved some initial results. In view of the carriedout experiments and the obtained results, combined with our unique natural conditions, we should take a coordinated approach for future research in this dynamic field: ①stable and increased support for longterm multifactor experiments; ②explicit inclusion of climatic suitability module, habitat availability/suitability module, population dynamics module and dispersal module in a dynamic specie distribution model; ③better integration amongst experimentals, monitoring, and models by building a datamodel fusion system; ④assessment for the ecosystem response and acclimation to global and regional changes using a hierarchical modeling.

Key words:  forest ecosystem, grassland ecosystem, coordinated approach,  big data, big data science, network of networks, challenge and opportunity