Ecological Conditions and Distribution of Gemor Tree Species in Central and East Kalimantan

The aim of this study was to determine the ecological conditions and distribution of gemor bark producing tree species at Tuanan village in Kapuas District, Central Kalimantan Province and Long Daliq village in Kutai Barat, East Kalimantan Province. In order to collect adequate vegetation data, several obser vation plots were laid out by using purposive sampling. Primary and secondary data were collected from the plot areas by obser ving directly the habitat and its ecological condition of vegetation. It was revealed that the gemor tree species tended to grow well on the habitats which have a thin layer of peat (< 2 m), pH 3 – 4 and in a humid climatic condition. Two gemor bark producing tree species were identidfied in the study areas, namely Nothaphoebe coriacea (Kosterm.) Kosterm. and N. umbelliflora Blume. The similarity level of vegetation composition at both sites (Kapuas and Kutai Barat Districts) was low. The tree species richness in the plot areas of Tuanan in Kapuas District, Central Kalimantan (82 species, 57 genera and 28 families) was higher than that found in Long Daliq, Kutai Barat District, East Kalimantan (38 species, 26 genera and 19 families)

Aboveground Carbon Stock Estimation Model Using Sentinel-2A Imagery in Mbeliling Lanscape in Nusa Tenggara Timur, Indonesia

To determine emission levels, information on carbon stocks and changes in each carbon pool is required. Aboveground biomass, particularly on dry land, is one carbon pool that contributes significantly to carbon storage. The goal of this study was to develop a model for estimating aboveground carbon stocks in the Mbeliling landscape, in Nusa Tenggara Timur, using a vegetation index that was correlated with field carbon stocks. The best model was then used to create a map of the distribution of carbon stocks as the final result. Simple linear regression analysis and multiple linear regression analysis were used in the study. Google Earth Engine was used to process the images on a cloud system. When comparing the RGI index for measuring field carbon stocks to other indexes, the correlation test revealed a perfect correlation. The linear regression model for aboveground biomass = 14.046 + 272.496 RGI (R-sq = 0.86) was found to be the best model for aboveground biomass. In the multiple linear regression model, there were signs of multicollinearity. With an overall accuracy of 68% and a cappa accuracy of 54.23%, the best model was able to be used to create a carbon stock map in Mbeliling landscape. Keywords: Carbon stock estimation model, Above Ground Biomass, Sentinel 2

Trust in scientists and their role in society across 67 countries

Scientific information is crucial for evidence-based decision-making. Public trust in science can help decision-makers act based on the best available evidence, especially during crises such as climate change or the COVID-19 pandemic. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. Here we interrogated these concerns with a pre-registered 67-country survey of 71,417 respondents on all inhabited continents and find that in most countries, a majority of the public trust scientists and think that scientists should be more engaged in policymaking. We further show that there is a discrepancy between the public’s perceived and desired priorities of scientific research. Moreover, we find variations between and within countries, which we explain with individual-and country-level variables,including political orientation. While these results do not show widespread lack of trust in scientists, we cannot discount the concern that lack of trust in scientists by even a small minority may affect considerations of scientific evidence in policymaking. These findings have implications for scientists and policymakers seeking to maintain and increase trust in scientists

Trust in scientists and their role in society across 67 countries

Scientific information is crucial for evidence-based decision-making. Public trust in science can help decision-makers act based on the best available evidence, especially during crises such as climate change or the COVID-19 pandemic. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. Here we interrogated these concerns with a pre-registered 67-country survey of 71,417 respondents on all inhabited continents and find that in most countries, a majority of the public trust scientists and think that scientists should be more engaged in policymaking. We further show that there is a discrepancy between the public’s perceived and desired priorities of scientific research. Moreover, we find variations between and within countries, which we explain with individual-and country-level variables,including political orientation. While these results do not show widespread lack of trust in scientists, we cannot discount the concern that lack of trust in scientists by even a small minority may affect considerations of scientific evidence in policymaking. These findings have implications for scientists and policymakers seeking to maintain and increase trust in scientists