Properly mapping the sustainability of bamboo forest production plays an important role in providing basic strategies for decision makers to ensure sustainable use of bamboo resources. Understanding the response pattern of drought, poor management, elevation, and barren soil to bamboo forest ecosystem productivity is critical to formulating appropriate improvement strategies of sustainable management of bamboo forest productivity for addressing growing challenges of bamboo forest land degradation. The objectives of this study were to quantify differences in productivity, meteorological, topographical, soil, and bamboo distribution and structure factors under different sustainable management levels of bamboo forest ecosystem productivity in order to support management decision making in a spatiotemporally explicit context. We constructed an innovative three‐layer index system for the sustainable management of bamboo forest productivity by integrating productivity, meteorological, soil, topographic, bamboo distribution, and structure factors to promote sustainable management and spatiotemporal decision making, particularly in bamboo forest areas with low productivity. The partial least squares (PLS) path model was used to analyze the spatiotemporal effects of different factors on bamboo forest productivity and to create sustainable management maps that could be used for spatially informed decision making regarding bamboo forest production. The results showed the spatial and temporal variations in gross primary productivity (GPP), net primary productivity (NPP), and net ecosystem exchange (NEE) in bamboo forests. The sustainable management index was also mapped each year throughout the study area. We divided the index value range into five management‐friendly classes, which were shown to be directly related to GPP, NPP, NEE, Slope, Aspect, soil texture, hydrolytic nitrogen, and Abundance. We found that the areas with relatively high sustainable management levels (I and II) occupied only 18.94% of the bamboo forest area and exhibited a highly clustered distribution. Most of the other areas (78.67%) had relatively low levels of sustainable management (III and IV), and their distribution was rather scattered. The remaining 2.39% of the bamboo forest area that had the lowest sustainable management level (V) was small in area, fragmented, and not conducive to intensive management. The results of the present study can serve as a useful reference for bamboo forest management, which is of great importance for bamboo‐based ecosystems and economies.

中文翻译：

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绘制时空决策以促进竹林地的可持续生产力

正确地绘制竹林生产的可持续性在为决策者提供基本战略以确保竹资源的可持续利用方面发挥着重要作用。了解干旱，管理不善，海拔升高和贫瘠的土壤对竹林生态系统生产力的响应方式，对于制定适当的竹林生产力可持续管理改善策略以应对日益严重的竹林土地退化挑战至关重要。这项研究的目的是量化在竹林生态系统生产力的不同可持续管理水平下，生产力，气象，地形，土壤和竹子的分布和结构因素的差异，以支持在时空明确的背景下进行管理决策。我们通过整合生产力，气象，土壤，地形，竹分布和结构因素，构建可持续发展的竹林生产力三层创新指标体系，以促进可持续管理和时空决策，特别是在生产力低下的竹林地区。偏最小二乘（PLS）路径模型用于分析不同因素对竹林生产力的时空影响，并创建可持续管理图，可用于有关竹林生产的空间知情决策。结果表明，毛竹林的总初级生产力（GPP），净初级生产力（NPP）和净生态系统交换（NEE）在空间和时间上都有变化。每年还在整个研究区域中绘制可持续管理指数。我们将指数值范围分为五个易于管理的类别，这些类别显示为与GPP，NPP，NEE，坡度，纵横比，土壤质地，水解氮和丰度直接相关。我们发现，具有较高可持续管理水平的地区（I和II）仅占竹林面积的18.94％，并且分布高度集中。其他大多数地区（78.67％）的可持续管理水平相对较低（第三和第四级），其分布相当分散。可持续管理水平（V）最低的其余2.39％的竹林面积小，支离破碎，不利于集约经营。