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Regional climate sensitivity of wetland environments in Rwanda : the need for a location - specific approach

机译:卢旺达湿地环境的区域气候敏感性:需要针对特定​​地点的方法

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摘要

Wetlands are sustaining large communities of people in Rwanda where 10 % of its land surface consists of many local wetlands. Sustainable future management of these numerous wetlands requires a reliable inventory of their location and a dynamic quantitative characterization that allows assessment of their climate change sensitivity. The aim of this study was to assess the importance of climatic factors for determining wetland location at different regional scales. Wetland locations were analyzed and statistically modeled using their location factors with logistic regression. Wetland location probability was determined using topographic (elevation, slope), hydrological (contributing area) and climatic (temperature and rainfall) location factors. A wetland location probability map was made that demonstrated a calibration accuracy of 87.9 % correct at national level compared to an existing inventory, displaying even better fits at subnational level (reaching up to 98 % correct). A validation accuracy of 86.2 % was obtained using an independently collected dataset. A sensitivity analysis was applied to the threshold values used as cutoff value between wetland/non-wetland, demonstrating a robust performance. The developed models were used in a sensitivity scenario analysis to assess future wetland location probability to changes in temperature and rainfall. In particular, wetlands in the central regions of Rwanda demonstrate a high sensitivity to changes in temperature (1 % increase causes a net probable wetland area decline by 12.4 %) and rainfall (+1 % causes a net increase by 1.6 %). This potentially significant impact on wetland number and location probability indicates that climate-sensitive future planning of wetland use is required in Rwanda.
机译:湿地在卢旺达维持着大批人的社区,那里10%的土地面积由许多当地湿地组成。要对这些众多的湿地进行可持续的未来管理,就需要对其位置进行可靠的盘点,并需要进行动态的定量表征,以评估其对气候变化的敏感性。这项研究的目的是评估气候因素对于确定不同区域尺度上湿地位置的重要性。使用湿地位置因子进行逻辑回归分析并对其进行统计建模。湿地的位置概率是使用地形(海拔,坡度),水文(贡献面积)和气候(温度和降雨)位置因子确定的。制作的湿地位置概率图显示,与现有清单相比,在国家层面上的校准准确度为87.9%,在地方以下层面显示出更好的拟合度(正确率高达98%)。使用独立收集的数据集,验证准确性为86.2%。对阈值进行了敏感性分析,该阈值用作湿地/非湿地之间的临界值,证明了其强大的性能。所开发的模型用于敏感性情景分析中,以评估未来湿地位置对温度和降雨量变化的概率。尤其是,卢旺达中部地区的湿地对温度变化表现出高度的敏感性(增加1%导致净湿地面积可能下降12.4%)和降雨(+ 1%导致净增加1.6%)。对湿地数量和位置概率的潜在潜在重大影响表明,卢旺达需要对气候敏感的未来湿地利用规划。

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