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Ignoring the responses of local households to ecological protection policies can not only seriously limit sustainable development of the alpine grassland ecosystem, but also not improve livelihood on the Qinghai-Tibetan Plateau (QTP). It is of vital importance to clearly understand coupling feedback and trigger between household decision-making of local herdsmen with the implementation of ecological protection policies. We selected Sanjiangyuan National Park (SNP) as the study area which was in the hinterland of the QTP and the first national park in China. We used the global rangeland (G-Range) model to simulate alpine grassland changes and DEcisions under Conditions of Uncertainty by Modeled Agents (DECUMA) model to identify household decision-making of local herdsmen. Results showed that: (1) distribution of livestock density was basically consistent with the distribution of habitat suitability of local households in the SNP; (2) more than half of the uneducated households (52 and 70%) opposed the eco-compensation and eco-migration policies; (3) most of the households (53.7%) never traded livestock for maintaining their livelihood; and (4) When local households owed 65,000 yuan (≈10,000 dollars) in debts, as the critical value (trigger), they traded livestock to support their livelihood. We suggest that feedback and trigger of household decision-making should be fully considered by managers of national park and policymakers of local governments in planning ecological protection policies to maintain sustainable development of alpine grassland, which is of practical significance to long-term conservation and sustainable utilization of natural resources in the SNP.
Ignoring the responses of local households to ecological protection policies can not only seriously limit sustainable development of the alpine grassland ecosystem, but also not improve livelihood on the Qinghai-Tibetan Plateau (QTP). It is of vital importance to clearly understand coupling feedback and trigger between household decision-making of local herdsmen with the implementation of ecological protection policies. We selected Sanjiangyuan National Park (SNP) as the study area which was in the hinterland of the QTP and the first national park in China. We used the global rangeland (G-Range) model to simulate alpine grassland changes and DEcisions under Conditions of Uncertainty by Modeled Agents (DECUMA) model to identify household decision-making of local herdsmen. Results showed that: (1) distribution of livestock density was basically consistent with the distribution of habitat suitability of local households in the SNP; (2) more than half of the uneducated households (52 and 70%) opposed the eco-compensation and eco-migration policies; (3) most of the households (53.7%) never traded livestock for maintaining their livelihood; and (4) When local households owed 65,000 yuan (≈10,000 dollars) in debts, as the critical value (trigger), they traded livestock to support their livelihood. We suggest that feedback and trigger of household decision-making should be fully considered by managers of national park and policymakers of local governments in planning ecological protection policies to maintain sustainable development of alpine grassland, which is of practical significance to long-term conservation and sustainable utilization of natural resources in the SNP.
Management evaluation is increasingly required for national parks worldwide as it is an essential mechanism for improving management levels and achieving management objectives. The management capacity evaluation (MCE), an integral component of management evaluation, emphasizes the suitability of management measures. It helps identify the deficiencies in existing management measures and form feedback to improve them, thus increasing the overall management level of national parks. However, the existing MCE methods from international programs suffer from limited adaptability and are difficult to promote in other countries. In this research, we apply the best practice-based (BPB) method to the Three-River-Sources National Park (TNP), the first national park in China, to reveal the changes in its management capacity during the pilot period. The BPB method is new compared with other MCE methods, but is more adaptable to the current situation of China’s national parks. Results show that TNP’s comprehensive management capacity and the five aspects of management capacities improved effectively, which means the management measures adopted during the pilot phase were generally appropriate and practicable. Some management capacities, such as management organization, legal system construction, management planning, and natural resources confirmation and registration performed well or improved significantly during the pilot period, providing beneficial lessons for other national parks in China. Some management capacities, such as the ecological compensation scheme, monitoring and early warning system, and management team, are still deficient and should be prioritized for future improvement. The effectiveness and operability of the BPB method are validated in this research, as it provides a rapid and accurate diagnosis of TNP’s management capacities and useful feedback for improving them. We submit that the BPB method not only contributes to the theoretical improvement of MCE methods, but also shows wider adaptability to different protected area types and countries.
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