我国的自然遗迹保护与自然遗迹类保护区的建设

我国自然遗迹类保护区数量少,代表性参差不齐,不适应丰富多样的自然遗迹保护的要求。依靠自然遗迹类保护区、非自然遗迹类保护区、风景名胜区和森林公园等几种形式,使200多处有代表性的自然遗迹得到保护,但几者之间有重迭交叉,总的覆盖面也不完全。应加强全国自然遗迹保护的统一规划与协调,既探索综合保护的路子,也要补建一批自然遗迹类保护区,完善多元化保护的格局。      

腾冲县北海湿地自然保护区生态旅游开发初探

充分利用自然保护区的旅游资源优势发展旅游业，但不合理的开发会使生态环境遭到破坏、生物多样性逐渐丧失、湿地水质面临污染等等。在分析腾冲北海湿地自然保护区发展生态旅游的基础上对旅游开发中存在的问题提出对策和建议。     

纳板河保护区野生药用植物资源研究

通过采取走访村民、野外实地调查、采集标本、拍摄实物、专家鉴定相结合的方法,初步调查清楚了纳板河保护区现有野生药用植物173科、457属、584种,在对这些野生药用植物的多样性、药用部位、使用方法、功效、利用现状、存在问题进行分析后,提出该保护区野生药用植物资源保护和可持续利用的建议。     

山东省自然保护区建设与管理发展的新态势

通过对山东省自然保护区进行研究发现,山东省自然保护区建设与管理虽然在自然保护区建设规模、类型、管护能力和主要保护对象等方面取得了新的成绩,但同时也存在自然保护区多区交叉重叠、资源本底不清、管护压力大与能力不足等新问题。随着国家公园、主体功能区和生态补偿制度的实施,山东省自然保护区建设与管理应深化自然保护区管理体制改革,提升自然保护区建设质量,加强自然保护区基础设施规范化建设。     

锡林浩特市可持续发展规划

首次提出锡林浩特市应以可持续发展的观点规划设计，这一规划将使使锡林浩特市以可持续方式扩大与发展，并使得位于这一地区的锡林郭勒草原自然保护区受到最小的影响。文中每项设计建议都根据现在的城市规则，经济发展和锡林郭勒自然保护区的关系得来，将对锡林浩特市的未来发展建设起到重要的参考价值。     

Working backwards to move forwards: Graph-based connectivity metrics for reserve network selection

In this paper we apply graph theory in a reserve selection exercise to explore the tradeoffs between maintaining connectivity and minimizing the total area of a protected area network. Rather than focus on a single organism, we used a multi-species approach and looked at the tradeoff curves for organisms with varying dispersal abilities. We first generated the tradeoff curves using a graph-based metric to determine the importance of individual patches for maintaining connectivity. We then performed an analogous set of analyses using patch size as a surrogate measure of importance.     

How does economic complexity influence environmental degradation? New insights from African countries

This paper seeks to investigate the effect of economic complexity on environmental degradation in 20 selected African countries over the period 1991–2014. The Feasible Generalized Least Square (FGLS), and Driscoll-Kraay estimators (DK) are used to capture the objectives of the study. The results suggest that economic complexity and economic growth enhance environmental degradation. Also, natural resources rents and globalization improve environmental quality. Furthermore, the findings reject the U-shaped relationship between economic complexity and environmental degradation. In addition, the Dumitrescu-Hurlin panel causality test shows a bidirectional causal relation between economic complexity and environmental degradation. Taking into account the ecological deficit or ecological reserve status of country, it is shown that while the natural resource rents reduce environmental degradation in ecological reserve countries, they increase environmental degradation in ecological deficit countries. The results are robust when an alternative measure of economic complexity is used. Based on these findings, the paper suggests that the governments of African countries should take into account economic complexity when designing their environmental protection policies.     

Using environmental heterogeneity to plan for sea‐level rise

Environmental heterogeneity is increasingly being used to select conservation areas that will provide for future biodiversity under a variety of climate scenarios. This approach, termed conserving nature's stage (CNS), assumes environmental features respond to climate change more slowly than biological communities, but will CNS be effective if the stage were to change as rapidly as the climate? We tested the effectiveness of using CNS to select sites in salt marshes for conservation in coastal Georgia (U.S.A.), where environmental features will change rapidly as sea level rises. We calculated species diversity based on distributions of 7 bird species with a variety of niches in Georgia salt marshes. Environmental heterogeneity was assessed across six landscape gradients (e.g., elevation, salinity, and patch area). We used 2 approaches to select sites with high environmental heterogeneity: site complementarity (environmental diversity [ED]) and local environmental heterogeneity (environmental richness [ER]). Sites selected based on ER predicted present‐day species diversity better than randomly selected sites (up to an 8.1% improvement), were resilient to areal loss from SLR (1.0% average areal loss by 2050 compared with 0.9% loss of randomly selected sites), and provided habitat to a threatened species (0.63 average occupancy compared with 0.6 average occupancy of randomly selected sites). Sites selected based on ED predicted species diversity no better or worse than random and were not resilient to SLR (2.9% average areal loss by 2050). Despite the discrepancy between the 2 approaches, CNS is a viable strategy for conservation site selection in salt marshes because the ER approach was successful. It has potential for application in other coastal areas where SLR will affect environmental features, but its performance may depend on the magnitude of geological changes caused by SLR. Our results indicate that conservation planners that had heretofore excluded low‐lying coasts from CNS planning could include coastal ecosystems in regional conservation strategies.     

Fine‐resolution conservation planning with limited climate‐change information

Climate‐change induced uncertainties in future spatial patterns of conservation‐related outcomes make it difficult to implement standard conservation‐planning paradigms. A recent study translates Markowitz's risk‐diversification strategy from finance to conservation settings, enabling conservation agents to use this diversification strategy for allocating conservation and restoration investments across space to minimize the risk associated with such uncertainty. However, this method is information intensive and requires a large number of forecasts of ecological outcomes associated with possible climate‐change scenarios for carrying out fine‐resolution conservation planning. We developed a technique for iterative, spatial portfolio analysis that can be used to allocate scarce conservation resources across a desired level of subregions in a planning landscape in the absence of a sufficient number of ecological forecasts. We applied our technique to the Prairie Pothole Region in central North America. A lack of sufficient future climate information prevented attainment of the most efficient risk‐return conservation outcomes in the Prairie Pothole Region. The difference in expected conservation returns between conservation planning with limited climate‐change information and full climate‐change information was as large as 30% for the Prairie Pothole Region even when the most efficient iterative approach was used. However, our iterative approach allowed finer resolution portfolio allocation with limited climate‐change forecasts such that the best possible risk‐return combinations were obtained. With our most efficient iterative approach, the expected loss in conservation outcomes owing to limited climate‐change information could be reduced by 17% relative to other iterative approaches.     

基于自然保护区属性的管理成本分析

从自然保护区的管理成本构成入手,分析了自然保护区属性对不同尺度上管理成本的影响方式,在分类总结自然保护区管理成本的分析方法基础上,提出基于自然保护区属性的管理成本分析流程。该研究结果可为准确掌握自然保护区管理成本规模与构成、科学评估与预测资金投入后的使用效率与保护效果提供支持,并可为揭示自然保护区复合生态系统格局与过程提供新思路。