Willingness to Pay (WTP), Willingness to Work (WTW) and Willingness to Accept Compensation (WTA) are the three quantitative criteria for assessing local ecological asset values for the social aspects of ecosystem services and residents' willingness to contribute to and receive compensation for tourism ecology. The objectives of this study are to estimate the residents' willingness to pay, work and accept compensation for conservation at Sanjiangyuan National Park, and to analyze the relationship between residents' attitude towards tourism ecology and the ecological assets of the National Park based on a standard questionnaire survey. The dichotomous choice Contingent Valuation Method (CVM) was employed to determine the willingness. The survey conducted in 2018 collected WTP, WTW, WTA, socio-demFographical information, social trust and resident perceptions toward tourism impacts and relevant management strategies from 244 residents in two counties. Based on generalized linear modeling, income and education level are important for residents' WTP and WTA, but other social characteristics, such as gender and age, do not have significant effects. The social trust is found to be a significant factor on residents' willingness, despite the limitation on education level. Also, government funding is associated with residents' inclination to WTP, WTW and WTA, but the support levels differ among the two counties due to geographical and social heterogeneities. The estimated WTP, WTW and WTA for the Sanjiangyuan National Park in 2018 were 1.2448×107 yuan, 1.247×106 hours and 2.3232×107 yuan yr–1 based on the survey and published demographics. This study, for the first time, estimates the WTP, WTW and WTA for the Sanjiangyuan National Park and informs ecological conservation managers and policy makers. Ultimately, to maintain the long-term benefits arising from sustainable development, compensation should be specifically tailored and site-dependent, and development measures based on local resources should be adopted by governments to actively support eco-tourism activities.

Current research on residents’ ecological protection behaviors commonly adopts the socio-economic approach at the individual level. Yet, such an approach might ignore the impacts of potential psychological factors on resident behaviors, such as on farmers’ willingness and perception to conservation (collectively defined as residents’ tendencies in this study). This research analyzed the factors influencing residents’ preferences for conservation and livelihood trade-off at the community level in Sanjiangyuan National Park, China. We conclude: First, the factors associated with government funding lead to residents’ inclination to trust local government. Subsequently, abundant wealth contributes to the open-mindedness of residents to accept that “changes” are worthy. Second, despite the limited level of education, the fact that residents do not consider terms and conditions of regulations does not hinder recent social and ecological transformation. Third, residents’ comparative support for policies and regulations are commonly related to their interests in livelihood and ecological protection, but the support levels differ among different counties due to geographical and social heterogeneities. Collectively, policymakers should realize the importance of residents’ tendencies as well as their confidence in local government when planning to optimize social ecological transformation policies with a balance between the compensations given and benefits received.

Accurate estimation of forest biomass is essential to quantify the role forests play in balancing terrestrial carbon. Allometric equations based on tree size have been used for this purpose worldwide. There is little quantitative understanding on how environmental variation may affect tree allometries. Even less known is how to incorporate environmental factors into such equations to improve estimation. Here we tested the effects of climate on tree allometric equations and proposed to model forest biomass by explicitly incorporating climatic factors. For the five major Canadian timber species tested, the incorporation of climate was not found to improve the allometric models. For trembling aspen (Populus tremuloides Michx.) and tamarack (Larix laricina (Du Roi) K.Koch), the residuals of their conventional allometric models were found strongly related to frost-free period and mean annual temperature, respectively. The predictions of the two best climate-based models were significantly improved, which indicates that trembling aspen and tamarack store more aboveground biomass when growing in warmer than in colder regions. We showed that, under the RCP4.5 modest climate change scenario, there would be a 10% underestimation of aboveground biomass for these two species if the conventional non-climate models would still be in use in 2030. This study suggests the necessity to proactively develop climate-based allometric equations for more accurate and reliable forest biomass estimation.