Vegetation Deficiency in a Typical Region of the Loess Plateau in China

中國黃土高原典型區植被缺失研究

索安寧(An-Ning Suo) ； 林勇(Yong Lin) ； 葛劍平(Jian-Ping Ge) ； 寇曉軍(Xiao-Jun Kou)

《Botanical Studies》 49卷1期 (2008/01) Pp. 57-66

摘要

涇河流域位於黃土高原中部，是黃河的重要支流之一。流域以大陸性氣候為主，土地退化是涇河流域的一個主要生態環境問題。目前急待解決是尋求土地退化的科學機理，以便於恢復自然生態環境，防止土地進一步的退化，保持土地的多種生產功能。為此，潛在植被預測和現生植被的退化評價在研究區很值得研究。本文首先利用Holdrige方法計算了年平均氣候乾燥度指數，建立了基於植被－氣候關係的AI-NDVI模型，並用於類比潛在植被指數和構建潛在植被空間分佈格局。在具有潛在植被指數和現生植被指數的基礎上，就可以很容易地計算出潛在植被指數與現生植被指數之間的缺失，這種缺失可以客觀地反映涇河流域植被退化的時空格局。希望這種AI-NDVI方法能為大尺度上的生態規劃和管理提供有效的技術支援，並為生態恢復過程中的水文學和生態學複合問題的解決奠定基礎。

關鍵字

黃土高原 ； 潛在植被 ； 植被缺失指數 ； 生態恢復

並列摘要

Located in the central Chinese Loess Plateau, the Jinghe River is one of the major tributaries of the Yellow River, and the river basin it inhabits is characterized by a continental climate. Considering that land degradation has been the main ecological problem in the Jinghe River Basin, there is an urgent need to scientifically explore the land degradation mechanism in order to restore natural ecological environments, prevent further irreversible degradation, and retain value of these productive lands. To that end, a potential vegetation prediction and current vegetation degradation evaluation of the study area are the first and foremost jobs worth doing. In this paper, the Holdrige method is used to calculate the annual Aridity Index (AI), and a climate-vegetation based AI-NDVI model was proposed to predict the potential vegetation index, on which basis the potential vegetation index and potential vegetation distribution were both obtained. With the potential vegetation index and current vegetation index, the gap between the current and the potential vegetation was easy to calculate. This gap exhibits vegetation degradation objectively in the Jinghe River Basin. The AINDVI approach is expected to prove effective for ecological planning and management on a landscape and regional scale and to fuel integration between hydrology and ecology during ecological restoration research.

並列關鍵字

Ecological restoration ； Potential vegetation ； The Loess Plateau ； Vegetation deficient index