Many payment for ecosystem services (PES) programs, such as the Slope Land Conversion Program (SLCP), are passive and require full participation by impacted households. In contrast, this study considers the alternative of “active and incomplete” participation in PES programs, in which participants are not obliged to contract their own land, and have the right to select into the program or not. This type of program has been popular over the last decade in China; however, there have been few studies on the characteristics of willingness to participate and implementation. As such, this paper uses the Choice Experiment (CE) method to explore ways for inducing effective program participation, by analyzing the effects of different regime attributes. The case study used to analyze participation utility was the Jing-Ji Afforestation Program for Ecological and Water Protection (JAPEWP), a typical active-participation forestry PES program, and a key source of water near Beijing in the Miyun Reservoir Catchment (MRC). Analyzing rural household survey data indicated that the program faces a variety of challenges, including long-term maintenance, implementation performance, cost-effectiveness, and monitoring approaches. There are also challenges with one-size-fits-all payment strategies, due to ineffective program participation or imperfect implementation regimes. In response, this study proposes several policies, including providing secure and complete land tenure to the participants, creating more local off-farm employment opportunities, designing performance-based monitoring systems that are integrated with financial incentives, applying differentiated payment strategies, providing capacity building to support forestation activities, and establishing a comprehensive implementation regime that would address these challenges. These policy conclusions provide valuable lessons for other active-participation PES programs as well.

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As the local strategic surface water source for Beijing City, the Miyun Reservoir catchment is suffering from the challenges of forest landscape degradation (FLD) under various natural and anthropogenic disturbances. This study developed a cause-effect Bayesian network model, consisting of three tiers of nodes, site indicators, external disturbance, and the outcome of FLD, to perform a regional ecological risk assessment to better understand the FLD risks (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) in the catchment. The effects of the Beijing-Tianjin sandstorm source control (BTSSC) Phase I program, a typical forest landscape restoration program, on the FLD were further examined. Overall, the higher level of either current occurrence or risk probability for FLD suggests the urgency of the following restoration efforts. The dominance of soil erosion for FLD indicates that soil erosion control should be a priority in the following Phase II program. Meanwhile, the uneven spatial distribution of high-risk areas suggests that the following efforts should be focused within the upstream Hebei Province. In addition, based on the comparison of site indicators between different risk areas, the study concluded that community livelihood activities and land degradation due to climate change have been the other two dominant driving forces contributing to FLD. Furthermore, the study found that the forest landscape has not been restored into the best state by the BTSSC program due to the multiple and complex challenges. Thus, the technical concept of nature-based solutions, including close-to-nature forest management technology and a comprehensive community-involvement governance model, was proposed for the following Phase II program. KEYWORDSBeijing-Tianjin sandstorm source control program, ecological risk assessment, forest landscape restoration, Miyun Reservoir, nature-based solutions

The abandonment and cultivation of croplands in the Eurasian Steppe has become the focus of global and regional food security and agricultural policy-making. A large area of cropland in some post-Soviet countries has proven to be abandoned with the disintegration of the Soviet Union; however, it is unclear as to whether Kazakhstan also experienced a similar change as one of the main food providers for the former Soviet Union. In this study, we used the annual land cover dataset (1992–2015) from the European Space Agency, Climate Change Initiative (ESA-CCI) to detect spatio-temporal characteristics of rainfed and irrigated cropland changes in Kazakhstan. The Mann–Kendall test and regime shift analysis showed that rainfed and irrigated cropland at national level had a significant increasing trend with a significant rising up to 1999 and stagnation during 2000–2015, which was further confirmed with analysis at 14 regions. The greatest contributor to rainfed and irrigated croplands was steppes, followed by shrinkage of water bodies since 2005 to a great extent, rapid urbanization process resulted in losses of a part of irrigated oases. The trend surface analysis indicated that reorganized stable pattern characterized by rainfed cropland in north and irrigated cropland in south was driven by the strategy of the gradual agricultural development of oases. The nonexistence of cycle between the abandonment and recultivation proved that newly-gained cropland from steppe may be less degraded and more productive for sustainable land use in Kazakhstan. In conclusion, this study can provide strong evidence for sustainable land use and a basis for food security policy-making in Kazakhstan, and even all of the Central Asian countries in the future.

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