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Planning for the persistence of river biodiversity: exploring alternative futures using process-based models

机译:规划河流生物多样性的持久性:使用基于过程的模型探索替代未来

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P>1. Planning for the conservation of river biodiversity must involve a wide range of management options and account for the complication that the effects of many actions are spatially removed from these actions. Reserve design algorithms widely used in conservation planning today are not well equipped to address such complexities.2. We used process-based models to estimate the expected persistence of river biodiversity under alternative catchment-wide management scenarios and applied it in the Hunter Region (37 000 km superset of) in southeastern Australia.3. The biological condition of 12 197 subcatchments was estimated using a multiple linear regression model that related assessments of the integrity of macroinvertebrate assemblages to human-induced disturbances at river sites. The best-fit model (R2 = 0.76) used measures of both local and catchment-wide disturbances as well as elevation and distance from source as predictor variables. Based on the outputs of this model, we estimated that substantial loss of river biodiversity had occurred in some parts of the coastal fringes and the lower parts of the larger river systems. The most affected river type was small, low-gradient streams.4. The predicted biodiversity condition together with river types based on macroinvertebrate assemblages and abiotic attributes was used to estimate a biodiversity persistence index (BDI).5. A priority value for each subcatchment was calculated for different actions by changing the disturbance values for that subcatchment and calculating the resulting marginal change in regional BDI. Maps were thereby created for three different types of priority: catchment protection priority, catchment restoration priority and river section conservation priority.6. The subcatchments of high catchment protection priority for river biodiversity were mostly in the uplands and within protected areas. The river sections of high conservation priority included many coastal lowland rivers in and around protected areas as well as many upland headwater streams. Subcatchments of high priority for catchment restoration were mostly in coastal areas or lowland floodplains.7. This approach may be particularly well suited to guide the integrated implementation of three place-based protection strategies proposed for freshwaters: focal areas, critical management zones and catchment management zones.
机译:P> 1。保护河流生物多样性的规划必须涉及广泛的管理选择,并考虑到许多行动的影响在空间上已从这些行动中消除的复杂性。当今在保护规划中广泛使用的保护区设计算法不能很好地解决这种复杂性。2。我们使用基于过程的模型来估算在替代性全流域管理方案下河流生物多样性的预期持久性,并将其应用于澳大利亚东南部的亨特地区(3.7万公里的超集)。使用多元线性回归模型估算了12 197个小流域的生物状况,该模型将大型无脊椎动物种群的完整性评估与河流站点的人为干扰相关。最佳拟合模型(R2 = 0.76)使用局部和集水区范围内扰动的度量以及标高和距源的距离作为预测变量。根据该模型的输出,我们估计在沿海边缘的某些地区和较大的河流系统的较低地区已经发生了河流生物多样性的严重丧失。受影响最大的河流类型是小的,低坡度的河流。4。基于大型无脊椎动物组合和非生物属性的预测生物多样性状况以及河流类型被用于估算生物多样性持久性指数(BDI)。5。通过更改该子汇水面积的扰动值并计算区域BDI的边际变化,可以为每个子汇水面积的不同行动计算优先级值。因此,为三种不同类型的优先级创建了地图:流域保护优先级,流域恢复优先级和河段保护优先级。6。河流生物多样性具有高度集水量保护优先权的子集水区大多在高地和保护区内。具有高度保护优先性的河段包括保护区内和周围的许多沿海低地河流以及许多高地源流。优先进行集水区恢复的子集水区大多在沿海地区或低地洪泛区。7。这种方法可能特别适合指导针对淡水提出的三种基于场所的保护策略的综合实施:重点区域,关键管理区和集水区管理区。

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