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【Title】
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis (PCA) on 11 years (2001~2011) of high-dimensional monthly photosynthetically active vegetation cover (PV) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component (PC1, explaining 94.5% of variance) loadings, as expected, were significantly correlated with the temporal dynamics of the PV (r = 0.94), which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 (0.8% and 0.6% of variance, respectively) were significantly correlated with the temporal dynamics of the PV of forests (r = 0.72) and the farmlands (r = 0.80), respectively. The low-order components (PC4 and PC5, 0.3% and 0.2% of variance, respectively) were closely related to the occurrence of drought (r = 0.49) and to irregular ENSO associated climate anomalies (r = -0.54), respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index (SOI) with one to three months of time lags (r = -0.35 ~ -0.43, respectively), revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios. 相似文献
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis (PCA) on 11 years (2001~2011) of high-dimensional monthly photosynthetically active vegetation cover (PV) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component (PC1, explaining 94.5% of variance) loadings, as expected, were significantly correlated with the temporal dynamics of the PV (r = 0.94), which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 (0.8% and 0.6% of variance, respectively) were significantly correlated with the temporal dynamics of the PV of forests (r = 0.72) and the farmlands (r = 0.80), respectively. The low-order components (PC4 and PC5, 0.3% and 0.2% of variance, respectively) were closely related to the occurrence of drought (r = 0.49) and to irregular ENSO associated climate anomalies (r = -0.54), respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index (SOI) with one to three months of time lags (r = -0.35 ~ -0.43, respectively), revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios. 相似文献
23.
山东半岛海域成矿区带划分以往研究程度较低。该文利用海域重磁资料,在研究区梳理了渤海和黄海的重磁异常特征,渤海和北黄海呈负布格重力异常,南黄海北部与之相反;渤海为正磁异常,黄海与之相反。以重磁异常为基础,基于陆域构造单元划分,对海域构造单元划分至Ⅲ级10个构造单元,海域构造单元多为陆域向海域的延伸,仅渤中坳陷和北黄海盆地为独立的海域构造单元。参照陆域成矿区带划分,以构造单元边界为界线,海域成矿区带划分至Ⅳ级6个成矿区,各成矿区特征不同,坳陷构造单元内成矿区富集油气矿产,隆起构造单元内成矿区表现为埕宁隆起富集煤矿,胶北隆起富集金、菱镁矿、煤、灰岩矿,千里隆起富集岩金、蛇纹岩、石棉、花岗石矿。 相似文献
24.
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25.
无地面控制GPS辅助光束法区域网平差 总被引:2,自引:4,他引:2
介绍了在WGS84坐标系中进行GPS辅助光束法区域网平差的基本原理以及利用大地水准面拟合方法实施大地高与正常高的变换方法。利用新疆库尔勒地区1:25000和1:50000实际航摄资料验证了理论与程序实现的正确性。试验结果表明,无地面控制GPS辅助光束法区域网平差可用于中小比例尺测图的加密,在WGS84坐标系中可以获得较高的点定位精度,而在国家80坐标系下,利用大地水准面拟合前后的GPS摄站坐标进行GPS辅助光束法区域网平差,加密精度没有明显差异。 相似文献
26.
1985国家高程基准与全球似大地水准面之间的系统差及其分布规律 总被引:11,自引:0,他引:11
将由大地高和正常高导出的几何高程异常与由位系数模型计算得到的物理高程异常进行比较,求出1985国家高程基准与全球似大地水准面之间的系统差,并分析其分布特性.为抵制异常值的影响,引入"抗差等价权".利用分布全国大陆范围的GPS网949个点的GPS/水准数据和地球重力场模型EGM96、DQM99A,求出1985国家高程基准点与WGS84定义的似大地水准面之间有35.7 cm的垂直偏差,1985国家高程基准面的系统差自东向西、自南向北明显增大,给出相应的数学模型. 相似文献
27.
以反解 Stokes公式为数学模型 ,应用由 T/ P测高数据计算的大地水准面高反演了海域平均重力异常 ,并与船测平均重力异常和 OSU91A位模型计算的平均重力异常进行了比对分析 ,得出了一些有益的结论。 相似文献
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29.
本文针对遥感影像复杂背景下,背景地物光谱特征与目标光谱特征之间存在较强相关性的问题,提出一种基于仿蝇视觉的复杂背景下遥感异常检测算法。首先构建并行多孔径背景模型,实现对复杂背景特征的自适应描述;然后基于异常目标的光谱特征相对异常性,采用相对马氏距离区分异常区域、不确定区域与无目标区域,消除背景与目标光谱相关性对检测结果干扰的同时,弥补了传统假设检验无法区分无目标和不确定问题的不足;最后融合多个背景模型的检测结果,实现异常目标检测。仿真实验将围绕多种背景地物并存复杂区域的异常检测验证本文算法的有效性。 相似文献
30.
长春市已经建立的连续运行卫星定位参考站系统能够提供实时高精度平面位置的定位,但是,高精度的似大地水准面精化技术未投入实际应用,使得空间第三维信息的获取未做到简洁、高效。如果将CORS技术和GPS拟合高程技术相结合,将能实现真正意义的空间高精度实时三维动态定位,从而代替繁重的几何水准测量。 相似文献