In the regional ecological risk assessment (RERA) research with respect to human disturbance, risk source–receptor identification and corresponding indicators selection are of great importance. In this study, three regional function indexes, i.e., production function index, living function index, and ecology function index, were produced and incorporated into the human-caused RERA research. Among them, the former two indexes can be considered as human disturbance indexes, namely risk source indexes, whereas the last one can be deemed as ecological risk receptor index. Based on related economic statistics and land-use data, which are commonly used approaches for data acquisition, these three spatial function indicators were calculated separately. Incorporated with eco-environmental vulnerability proxies, this RERA framework was realized finally. With the Poyang Lake Region as a case study, the proposed RERA model was practiced to examine its effectiveness in expressing and revealing spatial heterogeneities of regional ecological risk source, risk receptor, eco-environmental vulnerability, and final integrated risk level. The results showed that: (1) the main winter waterbody of Poyang Lake was mainly in the grade of medium risk (grade 2), whereas the north connection part between the lake and the Yangtze River, and the south semi-closed sub-lakes, such as the Junshan Lake, were in high-risk group (grade 3); (2) the west part of the region had a higher human-caused risk level on the whole than that of the east, especially those in Jiujiang and Nanchang cities, in accordance with higher production and living human-disturbance level there; (3) owing to near to the downtown of cities, the wetlands and forestlands within the scope of Nanchang and Jiujiang cities, such as Nanjishan Wetland National Nature Reserve in Nanchang City and Lushan Mountain Forest in Jiujiang City, all had high final risk level (grade 3); (4) in terms of proportion, the low-, medium-, high-, and very-high-risk grades accounted for 47.27%, 33.01%, 13.56%, and 6.16% of the region, respectively. The three regional function indexes adopted in this study, characterizing spatial heterogeneity of regional ecological risk with respect to human activities, will be helpful for related research in the future. Besides, the assessment results could provide scientific basis for regional ecological risk management and then sustainable development of the study area.

中文翻译：

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基于生产-生活-生态分析的鄱阳湖地区人为干扰区域生态风险评估（PYLR）

在人为干扰的区域生态风险评估（RERA）研究中，风险源-受体识别和相应指标选择具有重要意义。本研究产生了生产功能指标、生活功能指标和生态功能指标三个区域功能指标，并纳入了人为RERA研究。其中，前两项指标可视为人为干扰指数，即风险源指数，后一项可视为生态风险受体指数。基于相关的经济统计数据和土地利用数据，这是数据获取的常用方法，分别计算了这三个空间功能指标。结合生态环境脆弱性代理，最终实现了这个 RERA 框架。以鄱阳湖地区为例，实践提出的RERA模型，检验其在表达和揭示区域生态风险源、风险受体、生态环境脆弱性和最终综合风险水平的空间异质性方面的有效性。结果表明：（1）鄱阳湖冬季主要水体以中风险等级（2级）为主，而北部与长江的连接部分和南部半封闭子湖，如君山湖属于高危组（3级）；(2)西部地区人为风险水平总体高于东部，尤其是九江和南昌市，与当地生产生活人为干扰程度较高有关；(3) 由于靠近市中心，南昌市和九江市范围内的湿地和林地，如南昌市南冀山湿地国家级自然保护区、九江市庐山森林等，均具有较高的最终风险等级（三级）；(4)从比重看，低、中、高、极高风险等级分别占全区的47.27%、33.01%、13.56%和6.16%。本研究采用的三个区域功能指标表征区域生态风险相对于人类活动的空间异质性，将有助于今后的相关研究。此外，评估结果可为区域生态风险管理和研究区的可持续发展提供科学依据。如南昌市南脊山湿地国家级自然保护区、九江市庐山森林等，均具有较高的最终风险等级（3级）；(4)从比重看，低、中、高、极高风险等级分别占全区的47.27%、33.01%、13.56%和6.16%。本研究采用的三个区域功能指标表征区域生态风险相对于人类活动的空间异质性，将有助于未来相关研究。此外，评估结果可为区域生态风险管理和研究区的可持续发展提供科学依据。如南昌市南脊山湿地国家级自然保护区、九江市庐山森林等，均具有较高的最终风险等级（3级）；(4)从比重看，低、中、高、极高风险等级分别占全区的47.27%、33.01%、13.56%和6.16%。本研究采用的三个区域功能指标表征区域生态风险相对于人类活动的空间异质性，将有助于未来相关研究。此外，评估结果可为区域生态风险管理和研究区的可持续发展提供科学依据。风险等级和极高风险等级分别占区域的47.27%、33.01%、13.56%和6.16%。本研究采用的三个区域功能指标表征区域生态风险相对于人类活动的空间异质性，将有助于未来相关研究。此外，评估结果可为区域生态风险管理和研究区的可持续发展提供科学依据。风险等级和极高风险等级分别占区域的47.27%、33.01%、13.56%和6.16%。本研究采用的三个区域功能指标表征区域生态风险相对于人类活动的空间异质性，将有助于未来相关研究。此外，评估结果可为区域生态风险管理和研究区的可持续发展提供科学依据。