A very high ventilatory response to hypoxia is believed necessary to reach extreme altitude without oxygen. Alternatively, the excessive ventilation could be counterproductive by exhausting the ventilatory reserve early on. To test these alternatives, 11 elite climbers (2004 Everest-K2 Italian Expedition) were evaluated as follows: 1) at sea level, and 2) at 5,200 m, after 15 days of acclimatisation at altitude. Resting oxygen saturation, minute ventilation, breathing rate, hypoxic ventilatory response, maximal voluntary ventilation, ventilatory reserve (at oxygen saturation?=?70%) and two indices of ventilatory efficiency were measured. Everest and K2 summits were reached 29 and 61 days, respectively, after the last measurement. Five climbers summited without oxygen, the other six did not, or succeeded with oxygen (two climbers). At sea level, all data were similar. At 5,200 m, the five summiters without oxygen showed lower resting minute ventilation, breathing rate and ventilatory response to hypoxia, and higher ventilatory reserve and ventilatory efficiency, compared to the other climbers.Thus, the more successful climbers had smaller responses to hypoxia during acclimatisation to 5,200 m, but, as a result, had greater available reserve for the summit. A less sensitive hypoxic response and a greater ventilatory efficiency might increase ventilatory reserve and allow sustainable ventilation in the extreme hypoxia at the summit.

Special Issue: Methodologies and Tools for the Management of Mountain Protected Areas: Mount Everest (Nepal, China) and K2 (Pakistan) Regions.

The problem of supporting decision- and policy-makers in managing issues related to solid waste and water quality was addressed within the context of a participatory modeling framework in the Sagarmatha National Park and Buffer Zone in Nepal. We present the main findings of management-oriented research projects conducted within this framework, thus providing an overview of the current situation in the park regarding solid waste and water quality issues. We found that most of the solid waste generated in the park is composed of organic matter, paper, and minor reused waste that is mainly reused for cattle feeding and manure, while disposal of other nondegradable categories of collected waste (glass, metal, and plastic) is not properly managed. Particularly, burning or disposal in open dumps poses a great hazard to environmental, human, and animal health, as most dump sites situated close to water courses are prone to regular flooding during the rainy season, thereby directly contaminating river water. Pollutants and microbiological contamination in water bodies were found and anthropogenic activities and hazardous practices such as solid waste dump sites, open defecation, and poor conditions of existing septic tanks are suggested as possibly affecting water quality. Collection of these data on solid waste and water quality and compilation of management information on the targeted social-ecological system allowed us to develop consensus-building models to be used as management supporting tools. By implementing such models, we were able to simulate scenarios identifying and evaluating possible management solutions and interventions in the park. This work reveals insights into general dynamics that can support the quest for solutions to waste and water quality management problems in other protected areas and mountain landscapes where traditional livelihood and land use patterns are changing under the influence of a growing population, changing consumption patterns, and international tourism.

New tools and methodologies are required in systemic planning and management of mountain protected areas. Among others we propose here a decision support toolbox (DST) conceived as an integrated collection of both soft and hard system methodologies, consisting of participatory and computer-based modules to provide a set of integrated, self-contained tools and approaches to support decision-making processes in the management of mountain protected areas. The Sagarmatha National Park and Buffer Zone (SNPBZ) in Nepal was taken as a pilot case. A number of participatory exercises such as participatory 3-dimensional modeling, scenario planning, and qualitative modeling were carried out to understand social-ecological processes and generate a systemic view over space and time. The qualitative models were then converted into computer-based system dynamics models. The design and development of DST software were carried out with an incremental and modular approach. This process involved stakeholder analysis and decision-making processes through a series of consultations. The software was developed with the main modules including scenario analysis, spatial analysis, and knowledge base. The scenario analysis module runs system dynamics models built in Simile software and provides functions to link them with spatial data for model inputs and outputs. The spatial analysis module provides the basic geographic information system functions to explore, edit, analyze, and visualize spatial information. The knowledge base module was developed as a metadata management system for different categories of information such as spatial data, bibliography, research data, and models. The development of DST software, especially system dynamics modeling and its linkage with spatial components, provided an important methodological approach for spatial and temporal integration. Furthermore, training and interactions with park managers and concerned stakeholders showed that DST is a useful platform for integrating data and information and better understanding ecosystem behavior as a basis for management decisions.

High mountains have sensitive social-ecological systems (SESs) characterized by fragility, complexity, and marginality. The local economies of these environments mainly rely on primary production, tourism, and leisure activities; thus human–ecosystem interactions are intricately linked. Many authors stress that this strict relationship must be assisted with a participatory approach involving interested stakeholders in the conceptualization, specification, and synthesis of knowledge and experience into useable information for the express purpose of addressing a problem complex. This paper presents experience garnered with a participatory modeling framework combining hard and soft methodology in 2 case studies: the Sagarmatha National Park and Buffer Zone (Nepal) and the Central Karakoram National Park (Pakistan). The modeling framework was developed based on local stakeholders' demands and needs; it consists of 5 modules, briefly presented here along with their conceptual background. In developing the framework, particular emphasis was given to considering the needs of decision-makers at the local level, rather than simply providing technical solutions to abstract problems. From the development of this modeling process, a need emerged to structure a management-oriented research module in order to generate management knowledge that is both stakeholder-relevant and evidence-based. The application of the framework in the 2 cases studies showed that the modeling can trigger valuable discussion among stakeholders as well as guidance for management-oriented research and feedback loops ensuring validation of knowledge. In addition, the resulting scenarios can help decision-makers in defining pathways for sustainable development in mountain areas, where people's livelihoods are closely dependent on ecosystems. The framework was developed in such a way that it can be replicated in other mountain areas with similar challenges.

High mountains have sensitive social-ecological systems (SESs) characterized by fragility, complexity, and marginality. The local economies of these environments mainly rely on primary production, tourism, and leisure activities; thus human–ecosystem interactions are intricately linked. Many authors stress that this strict relationship must be assisted with a participatory approach involving interested stakeholders in the conceptualization, specification, and synthesis of knowledge and experience into useable information for the express purpose of addressing a problem complex. This paper presents experience garnered with a participatory modeling framework combining hard and soft methodology in 2 case studies: the Sagarmatha National Park and Buffer Zone (Nepal) and the Central Karakoram National Park (Pakistan). The modeling framework was developed based on local stakeholders' demands and needs; it consists of 5 modules, briefly presented here along with their conceptual background. In developing the framework, particular emphasis was given to considering the needs of decision-makers at the local level, rather than simply providing technical solutions to abstract problems. From the development of this modeling process, a need emerged to structure a management-oriented research module in order to generate management knowledge that is both stakeholder-relevant and evidence-based. The application of the framework in the 2 cases studies showed that the modeling can trigger valuable discussion among stakeholders as well as guidance for management-oriented research and feedback loops ensuring validation of knowledge. In addition, the resulting scenarios can help decision-makers in defining pathways for sustainable development in mountain areas, where people's livelihoods are closely dependent on ecosystems. The framework was developed in such a way that it can be replicated in other mountain areas with similar challenges.