资源与生态学报(英文版)
資源與生態學報(英文版)
자원여생태학보(영문판)
JOURNAL OF RESOURCES AND ECOLOGY
2011年
3期
257-265
,共9页
任正超%朱华忠%史华%柳小妮
任正超%硃華忠%史華%柳小妮
임정초%주화충%사화%류소니
植被NPP%时空变化%CASA模型%气候因子%布里亚特共和国
植被NPP%時空變化%CASA模型%氣候因子%佈裏亞特共和國
식피NPP%시공변화%CASA모형%기후인자%포리아특공화국
vegetation NPP%temporal and spatial variation%CASA Model%climatic factor%Buryatiya Republic
研究利用遥感和气象数据以及改进后的CASA模型(生物温度代替月均温),估算俄罗斯布里亚特共和国2000-2008年的植被NPP,并验证模型的精度,分析该地区植被NPP的时空分布格局及其对气候变化的响应规律.研究结果表明:改进后的CASA模型具较高精度,可运用于布里亚特共和国植被NPP的估算.时间上,植被NPP年际上呈现为在波动中上升的趋势,月份上表现为先升后降的单峰变化趋势;空间上,植被NPP呈现出随经度的增加而增大,随纬度的增加而减小,由西南到东北逐渐递增的分布格局;不同植被类型的NPP从大到小依此为:草地、沼泽林>森林>森林、草原>稀树草原>高山植被.该地区植被NPP的变化主要受气温和降水量变化的作用.
研究利用遙感和氣象數據以及改進後的CASA模型(生物溫度代替月均溫),估算俄囉斯佈裏亞特共和國2000-2008年的植被NPP,併驗證模型的精度,分析該地區植被NPP的時空分佈格跼及其對氣候變化的響應規律.研究結果錶明:改進後的CASA模型具較高精度,可運用于佈裏亞特共和國植被NPP的估算.時間上,植被NPP年際上呈現為在波動中上升的趨勢,月份上錶現為先升後降的單峰變化趨勢;空間上,植被NPP呈現齣隨經度的增加而增大,隨緯度的增加而減小,由西南到東北逐漸遞增的分佈格跼;不同植被類型的NPP從大到小依此為:草地、沼澤林>森林>森林、草原>稀樹草原>高山植被.該地區植被NPP的變化主要受氣溫和降水量變化的作用.
연구이용요감화기상수거이급개진후적CASA모형(생물온도대체월균온),고산아라사포리아특공화국2000-2008년적식피NPP,병험증모형적정도,분석해지구식피NPP적시공분포격국급기대기후변화적향응규률.연구결과표명:개진후적CASA모형구교고정도,가운용우포리아특공화국식피NPP적고산.시간상,식피NPP년제상정현위재파동중상승적추세,월빈상표현위선승후강적단봉변화추세;공간상,식피NPP정현출수경도적증가이증대,수위도적증가이감소,유서남도동북축점체증적분포격국;불동식피류형적NPP종대도소의차위:초지、소택림>삼림>삼림、초원>희수초원>고산식피.해지구식피NPP적변화주요수기온화강수량변화적작용.
As a critical index for monitoring the response of terrestrial ecosystems to climate change,net primary productivity (NPP) is widely used to reflect the vegetation productivity under natural conditions.However,little is known about vegetation NPP in Buryatiya Republic,Russia.To fully understand temporal and spatial variations in vegetation NPP and its response to climate change,satellite images of Moderateresolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) products in conjunction with ground-based observations of climatology were used to estimate vegetation NPP in Buryatiya Republic from 2000 to 2008.Observed values of vegetation NPP and MODIS NPP products were ointly utilized to verify simulations of vegetation NPP in this area.The Carnegie Ames Stanford Approach (CASA) model was improved by adjusting its parameters with bio-temperature instead of monthly average temperature in a sub-model of soil water content.Model reliability was tested with observed vegetation NPP.Variation in vegetation NPP,and its relationship with climatic factors,was analyzed in detail.Results showed that the modified CASA model can be used to estimate vegetation NPP in Buryatiya Republic,and that the accuracy of the model was generally high with a correlation coefficient of 0.91 (P<0.01).The vegetation average annual NPP was 542.45 g C m-2 y-1 and the total NPP was estimated as 1.91E+ 14 g C y-1 from 2000 to 2008.Monthly vegetation NPP increased significantly from April to July,decreased rapidly from August to November,and remained steady from December to March of the next year.Vegetation NPP increased with increasing longitude and decreased with increasing latitude.Different vegetation types differ in total NPP,with the highest NPP in forests,followed by forest-steppe,high mountain vegetation,steppe and meadow-swamp.Temperature and precipitation were the primary factors limiting vegetation NPP in this area.