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首页> 外文期刊>International Journal of Environmental Research and Public Health >Identifying Determinants of Oncomelania hupensis Habitats and Assessing the Effects of Environmental Control Strategies in the Plain Regions with the Waterway Network of China at the Microscale
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Identifying Determinants of Oncomelania hupensis Habitats and Assessing the Effects of Environmental Control Strategies in the Plain Regions with the Waterway Network of China at the Microscale

机译：中国航道网在平原地区确定钉螺生境的决定因素并评价环境控制策略的效果

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This study aims to identify the landscape ecological determinants related to Oncomelania hupensis distribution, map the potential high risk of O. hupensis habitats at the microscale, and assess the effects of two environmental control strategies. Sampling was performed on 242 snail sites and 726 non-snail sites throughout Qianjiang City, Hubei Province, China. An integrated approach of landscape pattern analysis coupled with multiple logistic regression modeling was applied to investigate the effects of environmental factors on snail habitats. The risk probability of snail habitats positively correlated with patch fractal dimension (FD), paddy farm land proportion, and wetness index but inversely correlated with categorized normalized difference vegetation index (NDVI) and elevation. These findings indicate that FD can identify irregular features (e.g., irrigation ditches) in plain regions and that a moderate NDVI increases the microscale risk probability. Basing on the observed determinants, we predicted a map showing high-risk areas of snail habitats and simulated the effects of conduit hardening and paddy farming land rotation to dry farming land. The two approaches were confirmed effective for snail control. These findings provide an empirical basis for health professionals in local schistosomiasis control stations to identify priority areas and promising environmental control strategies for snail control and prevention.
机译：本研究旨在确定与钉螺分布相关的景观生态决定因素，在微观尺度上绘制钉螺生境的潜在高风险，并评估两种环境控制策略的效果。在湖北省潜江市的242个蜗牛场和726个非蜗牛场进行了采样。应用景观格局分析与多元逻辑回归建模相结合的综合方法，研究环境因素对蜗牛栖息地的影响。蜗牛栖息地的风险概率与斑块分形维数（FD），稻田面积比和湿度指数呈正相关，而与归一化差异植被指数（NDVI）和海拔高度呈负相关。这些发现表明，FD可以识别平原地区的不规则特征（例如灌溉沟渠），适度的NDVI会增加微观风险的可能性。根据观察到的决定因素，我们预测了显示蜗牛栖息地高风险区域的地图，并模拟了管道硬化和稻田向旱地轮作的影响。两种方法均被证实对蜗牛控制有效。这些发现为当地血吸虫病控制站的卫生专业人员确定蜗牛控制和预防的优先领域和有希望的环境控制策略提供了经验基础。

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