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首页> 外文期刊>Landscape Ecology >Characterising the spatial pattern of phenology for the tropical vegetation of India using multi-temporal MERIS chlorophyll data
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Characterising the spatial pattern of phenology for the tropical vegetation of India using multi-temporal MERIS chlorophyll data

机译：利用多时态MERIS叶绿素数据表征印度热带植被物候的空间格局

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The annual growth cycles of terrestrial ecosystems are related to long-term regional/global climatic patterns. Understanding vegetation phenology and its spatio-temporal variation is required to reveal and predict ongoing changes in Earth system dynamics. The study attempts to characterize the phenology of the major tropical vegetation types in India, since such information is not yet available for India. Multi-temporal Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) data were utilized to derive onset of greenness (OG) and end of senescence (ES) for four major tropical vegetation types. The study found that Fourier-smoothed results using the first four components revealed adequately the annual phenological variation of the natural vegetation types in India. From these smoothed data, inflection points were located iteratively through a spatio-temporal search, spanning over 18 months of 8-day composite data, per pixel such as to derive the OG and ES. The median OG and ES was extracted from the available annual results for the years 2003-04, 2004-05, 2005-06 and 2006-07. The GLC2000 land cover map (1 km spatial resolution) was utilized to determine the locations of the major vegetation types. The percentage of each vegetation type falling beneath a MTCI composite pixel (4.6 km spatial resolution) was calculated. MTCI composite pixels with homogeneity of E80% vegetative cover were used for examining pattern of phenology in different regions, different years and at different latitudes. The most common dates for the occurrence of OG for the tropical evergreen, semi-evergreen, moist-deciduous, and dry-deciduous vegetation types were found to be during February-April, January-April, March-May, and February-May, respectively. Similarly, for ES the most common dates were in February-April, January-April, February-April, and December-April, respectively. The phenological pattern was uniquely different for each vegetation type, as expected, and also differed with regions and latitudes. A general trend of early occurrence of OG in the lower latitudes was observed.
机译：陆地生态系统的年增长周期与长期的区域/全球气候模式有关。需要了解植被物候及其时空变化，才能揭示和预测地球系统动力学的持续变化。该研究试图描述印度主要热带植被类型的物候特征，因为印度尚无此类信息。利用多时相中分辨率成像光谱仪（MERIS）的陆地叶绿素指数（MTCI）数据来推导四种主要热带植被类型的绿色（OG）发作和衰老结束（ES）。研究发现，使用前四个成分进行的傅里叶平滑处理结果充分揭示了印度天然植被类型的年度物候变化。从这些平滑的数据中，拐点通过时空搜索进行迭代定位，每个像素跨越18个月的8天合成数据，以得出OG和ES。 OG和ES的中位数是从2003-04、2004-05、2005-06和2006-07年的可用年度结果中提取的。利用GLC2000土地覆盖图（1 km空间分辨率）来确定主要植被类型的位置。计算了落在MTCI复合像素（4.6 km空间分辨率）以下的每种植被类型的百分比。均质性为E80％植被覆盖度的MTCI复合像素用于检查不同地区，不同年份和不同纬度的物候模式。发现热带常绿，半常绿，湿落叶和干落叶植被类型发生OG的最常见日期是在2月-4月，1月-4月，3月-5月和2月-5月，分别。同样，对于ES，最常见的日期分别是2月-4月，1月-4月，2月-4月和12月-4月。正如预期的那样，每种植被类型的物候模式都是唯一不同的，并且随地区和纬度的不同而不同。观察到低纬度地区OG发生较早的总体趋势。

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