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首页> 外文期刊>Journal of Threatened Taxa >Habitat distribution modeling for reintroduction and conservation of Aristolochia indica L. - a threatened medicinal plant in Assam, India
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Habitat distribution modeling for reintroduction and conservation of Aristolochia indica L. - a threatened medicinal plant in Assam, India

机译:用于重新引入和保护印度马兜铃的栖息地分布模型-印度阿萨姆邦的濒危药用植物

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摘要

A detailed study on the regeneration ecology of Aristolochia indica L. was carried out to prevent this threatened medicinal plant from its future extirpation in Assam, India. The population stock of the species has been depleting fast in its natural habitats as a consequence of certain factors such as habitat fragmentation, over-exploitation due to its high medicinal properties, and other anthropogenic activities. For improving the conservation status of the species, potential area and habitat for its reintroduction were predicted using Maximum Entropy distribution modelling algorithm. The model was developed using environmental parameters and locality data in the natural range of Karbi Anglong District of Assam, India. The model predicted that the suitable habitats for the reintroduction of A. indica L. were restricted to parts of Assam, Nagaland, Meghalaya, and Arunachal Pradesh which have been identified to offer suitable environmental conditions for persistence of the species. Population status was positively correlated with higher model thresholds in the undisturbed habitats confirming the usefulness of the habitat model in population monitoring, particularly in predicting the successful establishment of the species.
机译:为了防止这种濒临灭绝的药用植物将来在印度的阿萨姆邦灭绝,对印度马兜铃的再生生态进行了详细研究。由于某些因素(例如栖息地破碎,由于其高药用特性而过度开发)和其他人为活动,该物种的种群种群在其自然栖息地中正在迅速消耗。为了改善物种的保护状况,使用最大熵分布建模算法预测了可能重新引入该物种的区域和栖息地。该模型是在印度阿萨姆邦Karbi Anglong区自然范围内使用环境参数和位置数据开发的。该模型预测,适合再引入印度腥黑麦草的栖息地仅限于阿萨姆邦,那加兰邦,梅加拉亚邦和阿鲁纳恰尔邦的部分地区,这些地区已被确定可为该物种的持久性提供合适的环境条件。在未受干扰的生境中,种群状况与较高的模型阈值呈正相关,这证实了生境模型在种群监测(尤其是预测物种成功建立)中的有用性。

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