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Modeling and measurement of structural changes at a landscape scale in dryland areas

机译:干旱地区景观尺度结构变化的建模和测量

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We present a technique to quantify and model the intensity of structural changes produced by management of dry grazing lands at a landscape scale. The technique is illustrated with the analysis of digitized black-white (b/w) imagery and an application to the study of changes induced by grazing gradients. Structural changes in patchy vegetation canopies were studied in the Patagonian Monte (Chubut, Argentina) at two resolution scales by means of linear transects in the field (50 m) and others drawn on aerial b/w photographs (2-5 km) of grazed paddocks. Spatial series of plant cover values along transects in the field and on photographs were analyzed with standard techniques of spectral analyses, including auto-correlation spectra and Fourier transforms. In order to test the internal consistency of the techniques used, synthetic plant canopies with patches of varying cover and size were generated by means of a stochastic model of plant growth under different stocking rates or after varying periods of recovery. The behavior of the simulation model is consistent with the observed dynamics of plant canopies in semiarid environments. There is a consistent relation between the number and geometric properties of plant patches (patch number, patch size, patch connectivity) and the signaloise ratios of the Fourier decomposition describing plant density data. Signaloise ratios corresponding to plant cover data in paddocks with different grazing treatment are consistent with the assumptions derived from modeled canopies, as well as those estimated from optical density of b/w aerial photographs of paddocks. We tested the hypotheses that patch arrangements as quantified by the signaloise ratios vary in accordance with grazing gradients in paddocks with a permanent corner-located watering point. The use of digitized b/w images allows inspecting permanent changes over time periods when other types of images were not yet available.
机译:我们提出一种技术来量化和建模由景观尺度上的旱地牧场管理产生的结构变化的强度。通过数字化黑白(b / w)图像分析说明了该技术,并将其应用于研究由放牧梯度引起的变化。在巴塔哥尼亚蒙特州(阿根廷丘布特),通过线性样条线(50 m)以两个分辨率尺度研究斑驳植被冠层的结构变化,并通过放牧的空中黑白照片(2-5 km)绘制了其他分辨率围场。利用标准的光谱分析技术,包括自相关光谱和傅里叶变换,分析了田间和照片上沿样带的植物覆盖值的空间序列。为了测试所用技术的内部一致性,通过在不同放养率下或不同恢复期后的植物生长随机模型,生成了覆盖和大小各异的斑块的合成植物冠层。仿真模型的行为与在半干旱环境中观察到的植物冠层动态一致。植物斑块的数量和几何特性(斑块数量,斑块大小,斑块连通性)与描述植物密度数据的傅里叶分解的信噪比之间存在一致的关系。与采用不同放牧方式的牧场中的植物覆盖数据相对应的信噪比,与根据建模的冠层得出的假设以及根据对牧场黑白照片的光密度估计得出的假设一致。我们测试了这样的假设,即通过信噪比量化的斑块排列根据具有永久性拐角定位浇水点的围场的放牧梯度而变化。使用数字化黑白图像可以检查在其他类型的图像尚不可用时随时间变化的永久性变化。

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