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Due to ongoing and projected climate change as well as increasing anthropogenic disturbances, the tropical deciduous forest has been experiencing a decline in its biomass and productivity. To mitigate this adverse effect, many tropical countries have adopted forest co-management engaging local communities. However, the effects of co-management on the resistance and resilience of forest ecosystems to extreme climatic events have rarely been tested. The present study investigates the effects of co-management on resistance and resilience to extreme climatic events in two major tropical deciduous forest protected areas of Bangladesh, namely Madhupur National Park (MNP) and Bhawal National Park (BNP), through remotely sensed satellite data. We used the Google Earth Engine platform to access the Landsat images from 1990 to 2020 for a comprehensive assessment of the forest cover condition under two major management regimes (i.e., traditional and co-management). We find that co-management slows down the rate of forest destruction, where the rate of forest destruction was 108 ha year−1 in MNP and 121 ha year−1 in BNP during the year 1990–2008 under traditional forest management system. Under the co-management regime, forest cover increased by 19 ha year−1 and 41 ha year−1 from 2009 to 2020 respectively in MNP and BNP. Our study finds a highly significant correlation between rainfall (p < 0.001) and forest health, although co-management had poor impacts on forest resistance and resilience in case of extreme climatic events, such as drought and heavy rainfall. We find, no significant impacts of co-management on resistance and resilience to drought in MNP, and on resistance and resilience to heavy rainfall in MNP and BNP. In BNP, the impacts of co-management on resistance (p < 0.05) and resilience (p < 0.01) of forest to drought were highly significant. Forest co-management although have the potentials to reduce the deforestation rate by mitigating anthropogenic disturbances, its capacity to tackle the adverse impact of climate change was limited in our study. An adaptive co-management model, therefore, is crucial for mainstreaming the adverse effect of climate change on the tropical deciduous forest to harness the maximum potential of community participation in forest resources management. • The effect of the co-management on forest resistance and resilience to extreme climatic events in two protected areas of Bangladesh were investigated. • Forest cover increased by 19 ha year−1 in MNP and 41 ha year−1 in BNP from 2009 to 2020 under the co-management. • We find a highly significant (p < 0.001) correlation between rainfall and forest health, although co-management had limited impacts on forest resistance and resilience. [ABSTRACT FROM AUTHOR]

In this paper, we try to understand pesticide input decisions among Vietnamese rice producers by examining the production risk effects of pesticide use, applying both a lottery game and a more traditional production function approach. Production function estimates show that excessive pesticide use makes production riskier. This result is supported by the lottery approach, which signals that more risk averse farmers use less pesticide, implying that pesticide is a risk-increasing input. We also show, that higher uncertainty regarding drought relative to pest is likely driving the increasing risk effect of pesticides. Therefore, we claim that the relative importance of multiple uncertainties on pest and water is relevant to determine the risk property of pesticide. • The excessive use of pesticide has generated concerns on health and environment. • Risk effects of pesticide is determined by an interaction of multiple uncertainties. • Lottery and production approaches suggest that pesticide use is a risk-increasing input. • Results show that pest damage may not be independent of rainfall. • Risk-decreasing management instruments may exacerbate pesticide overusing problem. [ABSTRACT FROM AUTHOR]