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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Measuring Indian giant squirrel (Ratufa indica) abundance in southern India using distance sampling
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Measuring Indian giant squirrel (Ratufa indica) abundance in southern India using distance sampling

机译：使用距离采样法测量印度南部印度大松鼠（Ratufa indica）的丰度

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A large body of work on the ecology of sciurids is based on comparing patterns of abundance across either space or time. However, in most cases investigators choose to use surrogate measures of abundance, such as indices based on species or sign encounter rates, or trapping rates. This requires the assumption that detection probabilities are equal at all sites (or time periods) sampled, an assumption that is difficult to meet under field conditions. We demonstrate the application of line transect-based distance sampling, a technique that explicitly models and accounts for detection probability, to estimate ecological densities of Indian giant squirrels in forested habitats. Line transect surveys were carried out at several sites and the number ofdetections included: 86 (Bandipur), 152 (Nalkeri), 110 (Sunkadakatte), 304 (Muthodi) and 236 (Lakkavalli). The encounter rates ranged from 0.179/km in Bandipur through 0.296/km (Nalkeri), 0.368/km (Sunkadakatte), and 0.625/km (Lakkavalli), to 0.779/km inMuthodi, while the estimated probabilities of detection were 0.517 (Bandipur), 0.532 (Nalkeri), 0.531 (Sunkadakatte), 0.548 (Lakkavalli) and 0.604 (Muthodi). The estimated mean squirrel densities (+/- standard error of the density) ranged from 2.37 (0.33) squirrels/ km(2) in Bandipur through 4.55 (0.44) squirrels/km2 in Nalkeri, 4.86 (0.62) squirrels/km(2) in Sunkadakatte, to 10.20 (0.82) squirrels/km(2) and 12.26 (1.10) squirrels/km(2) in Muthodi and Lakkavalli respectively. We discuss design, field survey and data analytic considerations for rigorously estimating squirrel density and abundance.
机译：孢子虫生态学的大量工作基于比较空间或时间上的丰度模式。但是，在大多数情况下，研究人员会选择使用替代度的丰度，例如基于物种或符号遭遇率或诱捕率的指数。这就需要假设在所有采样点（或时间段）的检测概率都相等，这一假设在现场条件下很难满足。我们演示了基于线样线的距离采样的应用，该技术可显式建模并说明检测概率，以估算森林栖息地中印度大松鼠的生态密度。在几个地点进行了线样调查，发现的次数包括：86（班迪普尔），152（纳尔凯里），110（Sunkadakatte），304（Muthodi）和236（Lakkavalli）。遭遇率范围从Bandipur的0.179 / km到Nalkeri的0.296 / km，Sunkadakatte的0.368 / km和Lakkavalli的0.625 / km到Muthodi的0.779 / km，而估计的探测概率为0.517（Bandipur） ，0.532（Nalkeri），0.531（Sunkadakatte），0.548（Lakkavalli）和0.604（Muthodi）。估计的平均松鼠密度（密度的+/-标准误差）在Bandipur为2.37（0.33）松鼠/ km（2）至Nalkeri为4.55（0.44）松鼠/ km2，4.86（0.62）松鼠/ km（2）在Sunkadakatte，分别在Muthodi和Lakkavalli中分别达到10.20（0.82）松鼠/ km（2）和12.26（1.10）松鼠/ km（2）。我们将讨论设计，现场调查和数据分析注意事项，以严格估计松鼠的密度和丰度。

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