The first issue of Acta Pratacalturae Sinica contains the results of the Editorial Board’sdiligent preparations,continuous efforts,and personal support in the areas of prataculturalscience.Prataeultural science is an...The first issue of Acta Pratacalturae Sinica contains the results of the Editorial Board’sdiligent preparations,continuous efforts,and personal support in the areas of prataculturalscience.Prataeultural science is an ancient and new subject.It’s an ancient subject because it hasbeen unavoedably involved in grassland production systems since mankind started raisingand grazing animals.Simultaneously,experience had accumulated and scientific researchhad been conducted.All of these had attributed to the emerging,and developing prataculturalscience.展开更多
Vegetation classification models play an important role in studying the response of the terrestrial ecosystem to global climate change. In this paper, we study changes in global Potential Natural Vegetation (PNV) dist...Vegetation classification models play an important role in studying the response of the terrestrial ecosystem to global climate change. In this paper, we study changes in global Potential Natural Vegetation (PNV) distributions using the Comprehensive Sequential Classification System (CSCS) approach, a technique that combines geographic information systems. Results indicate that on a global scale there are good agreements among maps produced by the CSCS method and the globally well-accepted Holdridge Life Zone (HLZ) and BIOME4 PNV models. The potential vegetation simulated by the CSCS approach has 6 major latitudinal zones in the northern hemisphere and 2 in the southern hemisphere. In mountainous areas it has obvious altitudinal distribution characteristics due to topographic effects. The distribution extent for different PNV classes at various periods has different characteristics. It had a decreasing trend for the tundra and alpine steppe, desert, sub-tropical forest and tropical forest categories, and an increasing trend for the temperate forest and grassland vegetation categories. The simulation of global CSCS-based PNV classes helps to understand climate-vegetation relationships and reveals the dynamics of potential vegetation distributions induced by global changes. Compared with existing statistical and equilibrium models, the CSCS approach provides similar mapping results for global PNV and has the advantage of improved simulation of grassland classes.展开更多
文摘The first issue of Acta Pratacalturae Sinica contains the results of the Editorial Board’sdiligent preparations,continuous efforts,and personal support in the areas of prataculturalscience.Prataeultural science is an ancient and new subject.It’s an ancient subject because it hasbeen unavoedably involved in grassland production systems since mankind started raisingand grazing animals.Simultaneously,experience had accumulated and scientific researchhad been conducted.All of these had attributed to the emerging,and developing prataculturalscience.
基金supported by the National Natural Science Foundation of China (30972135 & 40961026)the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China (708089)
文摘Vegetation classification models play an important role in studying the response of the terrestrial ecosystem to global climate change. In this paper, we study changes in global Potential Natural Vegetation (PNV) distributions using the Comprehensive Sequential Classification System (CSCS) approach, a technique that combines geographic information systems. Results indicate that on a global scale there are good agreements among maps produced by the CSCS method and the globally well-accepted Holdridge Life Zone (HLZ) and BIOME4 PNV models. The potential vegetation simulated by the CSCS approach has 6 major latitudinal zones in the northern hemisphere and 2 in the southern hemisphere. In mountainous areas it has obvious altitudinal distribution characteristics due to topographic effects. The distribution extent for different PNV classes at various periods has different characteristics. It had a decreasing trend for the tundra and alpine steppe, desert, sub-tropical forest and tropical forest categories, and an increasing trend for the temperate forest and grassland vegetation categories. The simulation of global CSCS-based PNV classes helps to understand climate-vegetation relationships and reveals the dynamics of potential vegetation distributions induced by global changes. Compared with existing statistical and equilibrium models, the CSCS approach provides similar mapping results for global PNV and has the advantage of improved simulation of grassland classes.
