Examining post-wildfire reseeding on and rangeland: A multivariate tobit modelling approach
Examining post-wildfire reseeding on and rangeland: A multivariate tobit modelling approach
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DOI：
10.1016/j.ecolmodel.2005.07.003
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发表时间：
2006-02-15
影响因子：
3.1
通讯作者：
Shonkwiler, JS
中科院分区：
文献类型：
--
作者：
Eiswerth, ME;Shonkwiler, JS
尽管美国中西部的火灾周期越来越严重，频率越来越高，但很少有实证分析研究火灾后在牧场上播种植物的成功与否。这份手稿使用一个独特的数据集来评估火灾几年后测量到的密度背后的原因：(1)有害的入侵草，(2)种子草，(3)美国西部州牧场上的鼠尾草。为了适应数据的不同特征，我们采用了三变量Tobit最大似然估计。结果表明，补播工作的成功与否与补播的时机和技术以及是否允许在土地上放牧有关。我们的发现对美国西部牧场以及其他地方的半干旱牧场的紧急火灾恢复管理和政策具有广泛的影响。(C)2005 Elsevier B.V.保留所有权利。
Despite fire cycles of increasing severity and frequency in the and western U.S., very little empirical analysis has examined the success of plant seeding on and rangeland following fire. This manuscript uses a unique dataset to assess causal factors underlying the measured densities, several years after fires, of: (1) unwanted invasive grasses, (2) seeded grasses, and (3) sagebrush, on rangeland in a western U.S. state. To accommodate various characteristics of the data, we employ trivariate tobit maximum likelihood estimation. Results indicate that the success of reseeding efforts is sensitive to the timing of and techniques used in reseeding, as well as whether grazing is allowed on the land. Our findings have broad implications for emergency fire rehabilitation management and policy for rangelands in the western U.S., as well as and and semiarid rangelands elsewhere. (c) 2005 Elsevier B.V. All rights reserved.