Mapping socio-economic scenarios of land cover change: a GIS method to enable ecosystem service modelling.

We present a GIS method to interpret qualitatively expressed socio-economic scenarios in quantitative map-based terms. (i) We built scenarios using local stakeholders and experts to define how major land cover classes may change under different sets of drivers; (ii) we formalized these as spatially explicit rules, for example agriculture can only occur on certain soil types; (iii) we created a future land cover map which can then be used to model ecosystem services. We illustrate this for carbon storage in the Eastern Arc Mountains of Tanzania using two scenarios: the first based on sustainable development, the second based on 'business as usual' with continued forest-woodland degradation and poor protection of existing forest reserves. Between 2000 and 2025 4% of carbon stocks were lost under the first scenario compared to a loss of 41% of carbon stocks under the second scenario. Quantifying the impacts of differing future scenarios using the method we document here will be important if payments for ecosystem services are to be used to change policy in order to maintain critical ecosystem services.

How to help depressed older people living in residential care: a multifaceted shared-care intervention for late-life depression.

OBJECTIVE: To describe a population-based, multifaceted shared-care intervention for late-life depression in residential care as a new model of geriatric practice, to outline its development and implementation, and to describe the lessons learned during the implementation process. SETTING: A large continuing-care retirement community in Sydney, Australia, providing three levels of care (independent living units, assisted-living complexes, and nursing homes). PARTICIPANTS: The intervention was implemented for the entire non-nursing home population (residents in independent and assisted living: N = 1,466) of the facility and their health care providers. Of the 1,036 residents whowere eligible and agreed to be interviewed, 281 (27.1%) were classified as depressed according to the Geriatric Depression Scale. INTERVENTION DESCRIPTION: The intervention included: (a) multidisciplinary collaboration between primary care physicians, facility health care providers, and the local psychogeriatric service; (b) training for primary care physicians and other facility health care providers about detecting and managing depression; and (c) depression-related health education/promotion programs for residents. CONCLUSIONS: The intervention was widely accepted by residents and their health care providers, and was sustained and enhanced by the facility after the completion of the study. It is possible to implement and sustain a multifaceted shared-care intervention for late-life depression in a residential care facility where local psychogeriatric services are scarce, staff-to-resident ratios are low, and the needs of depressed residents are substantial.