Evaluating Ecosystem Services in Transhumance Cultural Landscapes: An Interdisciplinary and Participatory Framework

Following the concept of ecosystem services, we propose in this article an interdisciplinary and participatory methodological framework for ecosystem services assessment and participatory decision-making in Mediterranean cultural landscapes linked with transhumant pastoralism. It is based on four sequential phases: 1. characterisation of the social-ecological network associated with transhumance, 2. preliminary identification and characterisation of ecosystem services, 3. evaluation of ecosystem services (in biophysical, socio-cultural, and economic terms), and 4. future scenario planning for the analysis of social conflicts related to ecosystem services use and trade-offs as well as the proposal of management strategies. Applying the framework to a case study on one of the major transhumance landscapes in Spain, we could identify and evaluate more than 30 ecosystem services. The framework facilitated the design of robust policy measures that aim to maintain this livestock raising model and its associated flow of ecosystem services. It also contributes to provide the basis for the implementation of adaptive co-management strategiesThis research has been financed by the Spanish Ministry for the Environment and Rural and Marine Affairs (Project 079/RN08/02.1

Forgone opportunities of large-scale agricultural investment: A comparison of three models of soya production in Central Mozambique

Agriculture is one of the main engines for prosperity and economic growth in Africa but effective agricultural strategies to support rural development and poverty alleviation are not yet identified. While state investment in the small-scale farming sector is minimal, and the medium-scale “emergent” household farm sector remains underrepresented, large-scale land investments are advocated as means to bring capital to rural areas and stimulate development. Yet, little empirical research has been done to contrast agricultural development strategies and to understand their strengths and weaknesses. We present an analysis of different soya production models - small-scale farmers, medium-scale mechanised emergent farmers, and large-scale commercial operations - and their socio-economic aspects in Central Mozambique. Based on purposefully collected data in 10 villages in Gurué district, our findings suggest that large-scale plantations create localized land scarcity and that the benefits from wage labour and local investments do not compensate rural populations for lost access to land. Small- and medium-scale soya farming also leads to decreasing land availability, but provides greater socio-economic benefits such as on-farm employment and work opportunities along the local value chain. Small- and medium-scale soya production increases on- and off-farm income and leads to spill-over effects to the local economy. Negative effects of these models of soya production on food production could not be detected; instead the cultivation of soya significantly increases maize yields grown in rotation. These findings suggest that small- and medium-scale commercial farming can compete with large-scale operations in key socio-economic parameters and that a concentration on large-scale investments can result in forgone opportunities regarding rural development and poverty reduction

Understanding complex relationships between human well-being and land use change in Mozambique using a multi-scale participatory scenario planning process

The path for bringing millions of people out of poverty in Africa is likely to coincide with important changes in land use and land cover (LULC). Envisioning the different possible pathways for agricultural, economic and social development, and their implications for changes in LULC, ecosystem services and society well-being, will improve policy-making. This paper presents a case that uses a multi-scale participatory scenario planning method to facilitate the understanding of the complex interactions between LULC change and the wellbeing of the rural population and their possible future evolution in Mozambique up to 2035. Key drivers of change were identified: the empowerment of civil society, the effective application of legislation and changes in rural technologies (e.g., information and communications technologies and renewable energy sources). Three scenarios were constructed: one characterized by the government promoting large investments; a second scenario characterized by the increase in local community power and public policies to promote small and medium enterprises; and a third, intermediate scenario. All three scenarios highlight qualitative large LULC changes, either driven by large companies or by small and medium scale farmers. The scenarios have different impact in wellbeing and equity, the first one implying a higher rural to urban area migration. The results also show that the effective application of the law can produce different results, from assuring large international investments to assuring the improvement of social services like education, health care and extension services. Successful application of these policies, both for biodiversity and ecosystem services protection, and for the social services needed to improve the well-being of the Mozambican rural population, will have to overcome significant barriers

An Initial Framework for Understanding the Resilience of Aquifers to Groundwater Pumping

Groundwater stored in aquifers experiences a wide variety of natural, induced and/or anthropogenic disturbances. Among them, groundwater extraction is the main disturbance that affects most of the aquifers in the world. Aquifer’s resilience, understood as the potential of the aquifer to sustain disturbances on the long term and to guarantee essential qualities and functions, provides a key tool when assessing sustainable groundwater management alternatives. The aim of this work is to illustrate an aquifer resilience framework that can support groundwater sustainable management. A theoretical framework is based on the identification of the key variables that parameterize the quantitative and qualitative responses of the groundwater flow system to pumping. An example from the literature based in Denmark is provided as an illustration of the proposed framework. The results show that long-term high quality data are essential to make a step further in aquifers dynamic responses. The quantitative understanding of the aquifer’s behavior before, during and after groundwater extraction provides a valuable source of information in order to identify thresholds of change (tipping points, transitions or regime shifts) which could permit pro-active groundwater management decisions. Moreover, a deeper understanding on the aquifer’s dynamics provides useful information in order to avert threats that may put the sustainability of the system at risk

Mapping and assessment of forest ecosystems and their services - Applications and guidance for decision making in the framework of MAES

The aim of this report is to illustrate by means of a series of case studies the implementation of mapping and assessment of forest ecosystem services in different contexts and geographical levels. Methodological aspects, data issues, approaches, limitations, gaps and further steps for improvement are analysed for providing good practices and decision making guidance. The EU initiative on Mapping and Assessment of the state of Ecosystems and their Services (MAES), with the support of all Member States, contributes to improve the knowledge on ecosystem services. MAES is one of the building-block initiatives supporting the EU Biodiversity Strategy to 2020.JRC.H.3-Forest Resources and Climat

Use of Bayesian belief networks for dealing with ambiguity in integrated groundwater management

Special Series: Bayesian Networks in Environmental and Resource ManagementIn integrated groundwater management, different knowledge frames and uncertainties need to be communicated and handled explicitly. This is necessary in order to select efficient adaptive groundwater management strategies. In this connection, Bayesian belief networks allow for integration of knowledge, for engaging stakeholders and for dealing with multiple knowledge frame uncertainties. This is illustrated for the case of the Upper Guadiana Basin, Spain, where Bayesian belief networks with stakeholder involvement were used for dealing with the ambiguities related to sustainable groundwater exploitationGeological Survey of Denmark and Greenland, DinamarcaUniversidad Autónoma de Madrid, EspañaInstituto Geológico y Minero de España, EspañaUniversity of Twente, Twente, Países Bajo