基于MODIS遙感數據的海南島橡膠林碳密度空間分布研究

劉少軍等

摘 要 天然橡膠林作為經濟林在海南森林碳匯中占有很大的比例，具有較大的碳匯價值，準確的獲取橡膠林碳密度空間分布信息對開展橡膠林碳匯功能進行評價具有重要的意義。為了能在空間上體現同一區域不同地點橡膠碳密度的差異，在MODIS遙感數據和橡膠普查數據的基礎上，采用CASA模型和降尺度的方法，得到了海南島天然林橡膠碳密度空間分布圖。結果表明：該方法能在一定程度上體現出海南島天然橡膠林碳密度的空間分布，天然橡膠林碳密度高值區分布在海南島的中部，平均碳密度在25～33 t/hm2之間，而低值區域分布在海南島北部，平均碳密度小于20 t/hm2。

關鍵詞 橡膠林；碳密度；海南島

中圖分類號 Q948 文獻標識碼 A

Spatial Distribution of Carbon Sink Density of

Rubber Plant Based on MODIS

LIU Shaojun1，2， ZHANG Jinghong1，2， CHE Xiufen1， ZHANG Mingjie1， DU Hanhan1

1 Hainan Climate Center， Haikou， Hainan 570203， China

2 Key Laboratory of Meteorological Disaster Preventing and Reducing of South China Sea， Haikou， Hainan 570203， China

Abstract Natural rubber plant， as one of the important economic forests in Hainan Island， is of larger value of carbon sink. It is important to get the carbon sink spatial distribution to evaluate the development of rubber carbon sink function. The traditional statistics data were collected by the administrative boundary as an unit， which can't show the difference of rubber carbon density in same area. Remote sensing and the 2011 Hainan rubber plant statistics data were combined to calculate the spatial distribution of the carbon sink. Mean monthly NPP were calculated by CASA model based on MODIS remote sensing data， and then the spatial carbon density of rubber plant were calculated by the downscaling method. The result showed that the method could be used to calculate the carbon density distribution of rubber plant， and found the high value area of carbon density distribution was located in central Hainan Island， and the average carbon density was between 25～33 t/hm2， while the low value area was located in northern Hainan Island and the average carbon density was less than 20 t/hm2。

Key words Natural rbber plant； Carbon sink density； Hainan Island

doi 10.3969/j.issn.1000-2561.2014.01.032

海南島作為我國熱帶森林的代表性地區，碳匯作用顯著。其中，熱帶林和經濟林是海南島森林碳儲量的主體組成部分，據統計兩者森林碳儲量占整個海南島總碳儲量的80%～90%[1]。而在經濟林中，橡膠林是最重要的一種人工經濟林，具有較大的碳匯價值[2]。在森林碳匯計算方面，森林碳匯估算方法具有一定適用性的同時也都存在著各自的局限性，最為廣泛的有3種方法：（1）樣地清查法；（2）渦度相關法；（3）基于遙感的模型模擬法[3]。如在樣地清查法方面：方精云等[4-8]提出了換算因子（BEF）與林分材積（x）的倒數函數關系，建立換算因子連續函數法；隨后，相關的學者大都采用該方法進行森林碳匯的估算工作：如閆學金等[9]利用該方法對海南2008年森林碳匯量進行了估算；……