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  • 2005

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    Authors: F. Pacifico; Gerd A. Folberth; C. D. Jones; Sandy P. Harrison; +1 Authors

    We have implemented a process‐based isoprene emission model in the HadGEM2 Earth‐system model with coupled atmospheric chemistry in order to examine the feedback between isoprene emission and climate. Isoprene emissions and their impact on atmospheric chemistry and climate are estimated for preindustrial (1860–1869), present‐day (2000–2009), and future (2100–2109) climate conditions. The estimate of 460 TgC/yr for present‐day global total isoprene emission is consistent with previous estimates. Preindustrial isoprene emissions are estimated to be 26% higher than present‐day. Future isoprene emissions using the RCP8.5 scenario are similar to present‐day because increased emissions resulting from climate warming are countered by CO2 inhibition of isoprene emissions. The impact of biogenic isoprene emissions on the global O3 burden and CH4 lifetime is small but locally significant, and the impact of changes in isoprene emissions on atmospheric chemistry depends strongly on the state of climate and chemistry.

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    Journal of Geophysical Research Atmospheres
    Article . 2012 . Peer-reviewed
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      Journal of Geophysical Research Atmospheres
      Article . 2012 . Peer-reviewed
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    Authors: Bibiana Granda; Javier León; Begoña Vitoriano; John Hearne;

    Wildfires are recurrent natural events that have been increasing in frequency and severity in recent decades. They threaten human lives and damage ecosystems and infrastructure, leading to high recovery costs. To address the issue of wildfires, several activities must be managed and coordinated in order to develop a suitable response that is both effective and affordable. This includes actions taken before (mitigation, prevention, and preparedness), during (response), and after the event (recovery). Considering the available resources and the safety of the involved personnel is a key aspect. This article is a review focused on fire suppression, which comprises actions belonging to the preparedness phase (deployment) and the response phase (dispatching) of the wildfire management scheme. It goes through the models and methodologies that, applying operations research and optimization techniques, address the management of resources to address fire suppression. This article presents a review of the studies published after the last review on the topic in 2017, but also includes some interesting papers before that date. It concludes with some classifying tables and a few conclusions about possible future lines of research.

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    Other literature type . Article . 2023 . Peer-reviewed
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    Article . 2023
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      Other literature type . Article . 2023 . Peer-reviewed
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    Authors: Ryan L. Fogt; Alex J. Wovrosh; Ryan A. Langen; Ian Simmonds;

    Recent studies have noted an asymmetrical climate change across Antarctica, with significant warming in West Antarctica and the Antarctica Peninsula, and primarily insignificant trends in East Antarctica. Due to its proximity, variations in the position and intensity of the Amundsen‐Bellingshausen Seas Low (ABSL) are a suspected atmospheric mechanism. Here, we investigate the ABSL to understand its characteristic variability and underlying synoptic‐scale influences, based on three reanalysis data sets. The ABSL is defined as the minimum monthly pressure in the 45°–75°S, 180°–60°W domain. Using this criterion, a significant north‐south and east‐west progression is noted in the climatological (1979–2001 average) ABSL, which is strongly tied to the location of the maximum cyclone system density and minimum cyclone central pressures. More than 550 cyclones a year were identified in the vicinity of the ABSL; during spring, significant trends in their central pressures are noted in the Ross Sea. The implied changes in temperature advection by these stronger systems are consistent with the warming in West Antarctica. The strongest cyclone events (i.e., the ten with the deepest central pressures) also demonstrate a connection to the climatological ABSL, albeit weaker. Moreover, these strong cyclone events are significantly linked to the Southern Annular Mode (SAM), particularly in their annual frequency and location/steering in the summer. This shows that large‐scale forcing, such as from the SAM, may influence the strongest cyclones in the region and could allow for the prediction of such events.

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    Journal of Geophysical Research Atmospheres
    Article . 2012 . Peer-reviewed
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      Journal of Geophysical Research Atmospheres
      Article . 2012 . Peer-reviewed
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  • Authors: Jürgen Bauhus;

    Summary Silviculture is the manipulation of forest stand structure and dynamics to achieve specific forest management objectives. In this paper the proceeding contributions from four State forest services about their silvicultural practices in native forests are introduced and reflected upon in the light of likely future directions in Australian forest management. Increasing ecological knowledge and changing social and economic demands on forests necessitate the continuous development and improvement of silvicultural practices. The role of silviculture in delivering sustainable forest management is discussed and some future challenges in native forest silviculture in a post-Regional Forest Agreement environment are presented. Reconciling management of native forests for biodiversity and for production of timber and non-timber products will be a major task, which may only be achieved through silvicultural planning at the landscape level. Further development and refinement of sustainability indicators will ...

    Australian Forestryarrow_drop_down
    Australian Forestry
    Article . 1999 . Peer-reviewed
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      Australian Forestry
      Article . 1999 . Peer-reviewed
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    Authors: Prashant Paudel; Rupesh Kalakheti; Tek Maraseni;

    Abstract Background: Volume, biomass and carbon of forest ecosystem are generally estimated using lookup tables or allometric equations known as models. These general equation-based models are usually exclusively based on dimensional measurement such as diameter at breast height (DBH) and/or height, which sometimes makes it difficult to judge applicability of equation to given forest condition or types. It is therefore important to estimate carbon stock and develop models to predict biomass or carbon stock with stratification by categorical variables like crown cover, slope, forest types, etc. Stratification of forest by remote sensing approach while designing forest inventory not only improves the reliability of the estimation but also reduces the cost of measurement and uncertainty in estimation. Taking crown coverage (<25%, 25-50%, 50-75% and >75%) and slope (0-8.5%, 8.5-19%, 19-31% and >31%) as a categorical variable, this study assessed the status of carbon stock and develop a regression model to predict carbon stock for each canopy class of Sal (Shorea robusta) forest in Nepal. DBH and height were measured for trees with more than 7 cm DBH in 82 sample plots (18, 22, 22 and 20 for <25%, 25-50%, 50-75% and >75 % respectively).Results: On average 297 stands per hectare were recorded with 94.80 m3/ha growing stock. Carbon stock was highest for >75% crown cover class (89.83 ton C/ha) and lowest for <25% crown cover class (27.47 ton C/ha) with average 60.41 ton C/ha, where per tree carbon stock was lowest in crown cover class 25-50% (0.16 ton C/tree). TukeyHSD shows that four pairs of crown cover classes have significant difference in carbon stock at 95% confidence interval. However, with increase in slope carbon stock per hectare was decreasing. Regression model with natural logarithm of DBH2 and total tree height (i.e. log transformed polynomial equation) was best fitted for estimation of carbon stock per tree in different crown cover class with adjusted R2 >0.99 and residuals were normally distributed. Conclusions: Adjustment of model (natural logarithm of DBH2 and height) with high accuracy (R2 >0.99) shows the importance of stratification especially by crown cover for accurate estimation of carbon stock for optimization of carbon benefits.

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    https://doi.org/10.21203/rs.2....
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    Authors: K, Suzuki; Y, Ito; M, Otani; S, Suzuki; +1 Authors

    Serum carotenoid levels among residents with hyperglycemia who were screened in a health check-up program for the inhabitants living in a rural area of Hokkaido were compared with those with normal levels. Serum levels of alpha, beta-carotenes and cryptoxanthin were lower among those with high HbA1c newly detected than among those with a normal level, whereas the serum lipid peroxide (TBARS) level was higher in the former than in the latter for both sexes. Among males who currently smoked and drank alcohol, the intake frequency of carrot or pumpkin was significantly lower for those with high HbA1c than for the others, although no significant differences of serum carotenoid levels were observed. For the diabetes mellitus patients who were consulted in this study, and who have already been under control in the clinic, no significant differences of serum levels of carotenoids, or lipids such as total cholesterol and TBARS were shown compared with other groups. In conclusion, serum carotenoid levels might be a useful indicator of food intake and oxidative stress for the prediabetic condition since newly detected hyperglycemia tends to show lower serum antioxidant levels such as beta-carotene, and higher serum lipid peroxide levels.

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    Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene)
    Article . 2000 . Peer-reviewed
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      Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene)
      Article . 2000 . Peer-reviewed
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    Authors: Paul E. I. Pounds; Robert Mahony; Peter Corke;

    Typical quadrotor aerial robots used in research weigh <3kg and carry payloads measured in hundreds of grams. Several obstacles in design and control must be overcome to cater for expected industry demands that push the boundaries of existing quadrotor performance. The X-4 Flyer, a 4. kg quadrotor with a 1. kg payload, is intended to be prototypical of useful commercial quadrotors. The custom-built craft uses tuned plant dynamics with an onboard embedded attitude controller to stabilise flight. Independent linear SISO controllers were designed to regulate flyer attitude. The performance of the system is demonstrated in indoor and outdoor flight.

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    Control Engineering Practice
    Article . 2010 . Peer-reviewed
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      Control Engineering Practice
      Article . 2010 . Peer-reviewed
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    Authors: Singh, Minerva; Evans, Damian; Chevance, Jean-Baptiste; Tan, Boun Suy; +4 Authors

    This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data and LiDAR derived Canopy Height Model (CHM)) were used in conjunction with three different machine learning (ML) regression techniques (Support Vector Machines (SVM), Random Forests (RF) and Artificial Neural Networks (ANN)). These ML methods were implemented on (a) Landsat spectral data, (b) Landsat spectral band & ALOS backscatter data, and (c) Landsat spectral band, ALOS backscatter data, & LiDAR CHM data. The Landsat-ALOS combination produced more accurate classification results (95% overall accuracy with SVM) compared to Landsat-only bands for all ML models. Inclusion of LiDAR CHM (which is a proxy for vertical canopy heights) improved the overall accuracy to 98%. The research establishes that majority of PKNP is dominated by cashew plantations and the nearly intact forests are concentrated in the more inaccessible parts of the park. The findings demonstrate how different RS datasets can be used in conjunction with different ML models to map forests that had undergone varying levels of degradation and plantations. International audience

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    Other literature type . Article . 2019 . Peer-reviewed
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    Article . 2019
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    Article . 2019
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      Other literature type . Article . 2019 . Peer-reviewed
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    Authors: Erik Meijaard; Thomas M. Brooks; Kimberly M. Carlson; Eleanor M. Slade; +21 Authors

    Delivering the Sustainable Development Goals (SDGs) requires balancing demands on land between agriculture (SDG 2) and biodiversity (SDG 15). The production of vegetable oils, and in particular palm oil, illustrates these competing demands and trade-offs. Palm oil accounts for 40%1 of the current global annual demand for vegetable oil as food, animal feed, and fuel (210 million tons2 (Mt)), but planted oil palm covers less than 5-5.5%3 of total global oil crop area (ca. 425 Mha)4 , due to oil palm’s relatively high yields5. Recent oil palm expansion in forested regions of Borneo, Sumatra, and the Malay Peninsula, where >90% of global palm oil is produced, has led to substantial concern around oil palm’s role in deforestation. Oil palm expansion’s direct contribution to regional tropical deforestation varies widely, ranging from 3% in West Africa to 47% in Malaysia. Oil palm is also implicated in peatland draining and burning in Southeast Asia. Documented negative environmental impacts from such expansion include biodiversity declines, greenhouse gas emissions, and air pollution. However, oil palm generally produces more oil per area than other oil crops, is often economically viable in sites unsuitable for most other crops, and generates considerable wealth for at least some actors. Global demand for vegetable oils is projected to increase by 46% by 2050. Meeting this demand through additional expansion of oil palm versus other vegetable oil crops will lead to substantial differential effects on biodiversity, food security, climate change, land degradation, and livelihoods. Our review highlights that, although substantial gaps remain in our understanding of the relationship between the environmental, socio-cultural and economic impacts of oil palm, and the scope, stringency and effectiveness of initiatives to address these, there has been little research into the impacts and trade-offs of other vegetable oil crops. Greater research attention needs to be given to investigating the impacts of palm oil production compared to alternatives for the trade-offs to be assessed at a global scale.\ud Over the past 25 years, global oil crops have expanded rapidly, with major impacts on land use. The land used for growing oil crops grew from 170 million ha (Mha) in 1961 to 425 Mha in 2017 or ~30% of all cropland world-wide. Oil palm, soy, and rapeseed together account for >80% of all vegetable oil production with cotton, groundnuts, sunflower, olive, and coconut comprising most of the remainder (Table 1, Figure 1). These crops, including soy (125 Mha planted area) and maize (197 Mha planted area), are also used as animal feed and other products.\ud Oil palm is the most rapidly expanding oil crop. This palm originates from equatorial Africa where it has been cultivated for millennia, but it is now widely grown in Southeast Asia. Between 2008 and 2017, oil palm expanded globally at an average rate of 0.7 Mha per year, and palm oil is the leading and cheapest edible oil in much of Asia and Africa. While it has been estimated that palm oil is an ingredient in 43% of products found in British supermarkets, we lack comparable studies for the prevalence of other oils.\ud As a wild plant, the oil palm is a colonising species that establishes in open areas. Cultivated palms are commonly planted as monocultures, although the tree is also used in mixed, small-scale and agroforestry settings. To maximize photosynthetic capacity and fruit yields, oil palm requires a warm and wet climate, high solar radiation, and high humidity. It is thus most productive in the humid tropics, while other oil crops, except coconut, grow primarily in subtropical and temperate regions (Table 1). Moreover, because oil palm tolerates many soils including deep peat and sandy substrates, it is often profitable in locations where few other commodity crops are viable. The highest yields from planted oil palm have been reported in Southeast Asia5 . Yields are generally lower in Africa and the Neotropics, likely reflecting differences in climatic conditions including humidity and cloud cover, as well as management, occurrence of pests and diseases, and planting stock.\ud Palm oil is controversial due to its social and environmental impacts and opportunities. Loss of natural habitats, reduction in woody biomass, and peatland drainage that occur during site preparation are the main direct environmental impacts from oil palm development. Such conversion typically reduces biodiversity and water quality and increases greenhouse gas emissions, and, when fire is used, smoke and haze. Industrial oil palm expansion by large multi-national and national companies is also often associated with social problems, such as land grabbing and conflicts, labour exploitation, social inequity16 and declines in village-level well-being. In producer countries, oil palm is a valued crop that brings economic development to regions with few alternative agricultural development options, and generates substantial average livelihood improvements when smallholder farmers adopt oil palm. Here we review the current understanding of the environmental impacts from oil palm cultivation and assess what we know about other oil crops in comparison. Our focus is on biodiversity implications and the environmental aspects of sustainability, and we acknowledge the importance of considering these alongside socio-cultural, political, and economic outcomes.

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    https://doi.org/10.31223/osf.i...
    Preprint . 2020
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    Nature Plants
    Article . 2020 . Peer-reviewed
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    Nature Plants
    Article . 2020
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      https://doi.org/10.31223/osf.i...
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    Authors: F. Pacifico; Gerd A. Folberth; C. D. Jones; Sandy P. Harrison; +1 Authors

    We have implemented a process‐based isoprene emission model in the HadGEM2 Earth‐system model with coupled atmospheric chemistry in order to examine the feedback between isoprene emission and climate. Isoprene emissions and their impact on atmospheric chemistry and climate are estimated for preindustrial (1860–1869), present‐day (2000–2009), and future (2100–2109) climate conditions. The estimate of 460 TgC/yr for present‐day global total isoprene emission is consistent with previous estimates. Preindustrial isoprene emissions are estimated to be 26% higher than present‐day. Future isoprene emissions using the RCP8.5 scenario are similar to present‐day because increased emissions resulting from climate warming are countered by CO2 inhibition of isoprene emissions. The impact of biogenic isoprene emissions on the global O3 burden and CH4 lifetime is small but locally significant, and the impact of changes in isoprene emissions on atmospheric chemistry depends strongly on the state of climate and chemistry.

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    Journal of Geophysical Research Atmospheres
    Article . 2012 . Peer-reviewed
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      Journal of Geophysical Research Atmospheres
      Article . 2012 . Peer-reviewed
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    Authors: Bibiana Granda; Javier León; Begoña Vitoriano; John Hearne;

    Wildfires are recurrent natural events that have been increasing in frequency and severity in recent decades. They threaten human lives and damage ecosystems and infrastructure, leading to high recovery costs. To address the issue of wildfires, several activities must be managed and coordinated in order to develop a suitable response that is both effective and affordable. This includes actions taken before (mitigation, prevention, and preparedness), during (response), and after the event (recovery). Considering the available resources and the safety of the involved personnel is a key aspect. This article is a review focused on fire suppression, which comprises actions belonging to the preparedness phase (deployment) and the response phase (dispatching) of the wildfire management scheme. It goes through the models and methodologies that, applying operations research and optimization techniques, address the management of resources to address fire suppression. This article presents a review of the studies published after the last review on the topic in 2017, but also includes some interesting papers before that date. It concludes with some classifying tables and a few conclusions about possible future lines of research.

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    Fire
    Other literature type . Article . 2023 . Peer-reviewed
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    Fire
    Article . 2023
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      Fire
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      Fire
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    Authors: Ryan L. Fogt; Alex J. Wovrosh; Ryan A. Langen; Ian Simmonds;

    Recent studies have noted an asymmetrical climate change across Antarctica, with significant warming in West Antarctica and the Antarctica Peninsula, and primarily insignificant trends in East Antarctica. Due to its proximity, variations in the position and intensity of the Amundsen‐Bellingshausen Seas Low (ABSL) are a suspected atmospheric mechanism. Here, we investigate the ABSL to understand its characteristic variability and underlying synoptic‐scale influences, based on three reanalysis data sets. The ABSL is defined as the minimum monthly pressure in the 45°–75°S, 180°–60°W domain. Using this criterion, a significant north‐south and east‐west progression is noted in the climatological (1979–2001 average) ABSL, which is strongly tied to the location of the maximum cyclone system density and minimum cyclone central pressures. More than 550 cyclones a year were identified in the vicinity of the ABSL; during spring, significant trends in their central pressures are noted in the Ross Sea. The implied changes in temperature advection by these stronger systems are consistent with the warming in West Antarctica. The strongest cyclone events (i.e., the ten with the deepest central pressures) also demonstrate a connection to the climatological ABSL, albeit weaker. Moreover, these strong cyclone events are significantly linked to the Southern Annular Mode (SAM), particularly in their annual frequency and location/steering in the summer. This shows that large‐scale forcing, such as from the SAM, may influence the strongest cyclones in the region and could allow for the prediction of such events.

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    Journal of Geophysical Research Atmospheres
    Article . 2012 . Peer-reviewed
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      Journal of Geophysical Research Atmospheres
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  • Authors: Jürgen Bauhus;

    Summary Silviculture is the manipulation of forest stand structure and dynamics to achieve specific forest management objectives. In this paper the proceeding contributions from four State forest services about their silvicultural practices in native forests are introduced and reflected upon in the light of likely future directions in Australian forest management. Increasing ecological knowledge and changing social and economic demands on forests necessitate the continuous development and improvement of silvicultural practices. The role of silviculture in delivering sustainable forest management is discussed and some future challenges in native forest silviculture in a post-Regional Forest Agreement environment are presented. Reconciling management of native forests for biodiversity and for production of timber and non-timber products will be a major task, which may only be achieved through silvicultural planning at the landscape level. Further development and refinement of sustainability indicators will ...

    Australian Forestryarrow_drop_down
    Australian Forestry
    Article . 1999 . Peer-reviewed
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      Australian Forestry
      Article . 1999 . Peer-reviewed
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    Authors: Prashant Paudel; Rupesh Kalakheti; Tek Maraseni;

    Abstract Background: Volume, biomass and carbon of forest ecosystem are generally estimated using lookup tables or allometric equations known as models. These general equation-based models are usually exclusively based on dimensional measurement such as diameter at breast height (DBH) and/or height, which sometimes makes it difficult to judge applicability of equation to given forest condition or types. It is therefore important to estimate carbon stock and develop models to predict biomass or carbon stock with stratification by categorical variables like crown cover, slope, forest types, etc. Stratification of forest by remote sensing approach while designing forest inventory not only improves the reliability of the estimation but also reduces the cost of measurement and uncertainty in estimation. Taking crown coverage (<25%, 25-50%, 50-75% and >75%) and slope (0-8.5%, 8.5-19%, 19-31% and >31%) as a categorical variable, this study assessed the status of carbon stock and develop a regression model to predict carbon stock for each canopy class of Sal (Shorea robusta) forest in Nepal. DBH and height were measured for trees with more than 7 cm DBH in 82 sample plots (18, 22, 22 and 20 for <25%, 25-50%, 50-75% and >75 % respectively).Results: On average 297 stands per hectare were recorded with 94.80 m3/ha growing stock. Carbon stock was highest for >75% crown cover class (89.83 ton C/ha) and lowest for <25% crown cover class (27.47 ton C/ha) with average 60.41 ton C/ha, where per tree carbon stock was lowest in crown cover class 25-50% (0.16 ton C/tree). TukeyHSD shows that four pairs of crown cover classes have significant difference in carbon stock at 95% confidence interval. However, with increase in slope carbon stock per hectare was decreasing. Regression model with natural logarithm of DBH2 and total tree height (i.e. log transformed polynomial equation) was best fitted for estimation of carbon stock per tree in different crown cover class with adjusted R2 >0.99 and residuals were normally distributed. Conclusions: Adjustment of model (natural logarithm of DBH2 and height) with high accuracy (R2 >0.99) shows the importance of stratification especially by crown cover for accurate estimation of carbon stock for optimization of carbon benefits.

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    https://doi.org/10.21203/rs.3....
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    https://doi.org/10.21203/rs.2....
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      https://doi.org/10.21203/rs.3....
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    Authors: K, Suzuki; Y, Ito; M, Otani; S, Suzuki; +1 Authors

    Serum carotenoid levels among residents with hyperglycemia who were screened in a health check-up program for the inhabitants living in a rural area of Hokkaido were compared with those with normal levels. Serum levels of alpha, beta-carotenes and cryptoxanthin were lower among those with high HbA1c newly detected than among those with a normal level, whereas the serum lipid peroxide (TBARS) level was higher in the former than in the latter for both sexes. Among males who currently smoked and drank alcohol, the intake frequency of carrot or pumpkin was significantly lower for those with high HbA1c than for the others, although no significant differences of serum carotenoid levels were observed. For the diabetes mellitus patients who were consulted in this study, and who have already been under control in the clinic, no significant differences of serum levels of carotenoids, or lipids such as total cholesterol and TBARS were shown compared with other groups. In conclusion, serum carotenoid levels might be a useful indicator of food intake and oxidative stress for the prediabetic condition since newly detected hyperglycemia tends to show lower serum antioxidant levels such as beta-carotene, and higher serum lipid peroxide levels.

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    Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene)
    Article . 2000 . Peer-reviewed
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      Nippon Eiseigaku Zasshi (Japanese Journal of Hygiene)
      Article . 2000 . Peer-reviewed
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    Authors: Paul E. I. Pounds; Robert Mahony; Peter Corke;

    Typical quadrotor aerial robots used in research weigh <3kg and carry payloads measured in hundreds of grams. Several obstacles in design and control must be overcome to cater for expected industry demands that push the boundaries of existing quadrotor performance. The X-4 Flyer, a 4. kg quadrotor with a 1. kg payload, is intended to be prototypical of useful commercial quadrotors. The custom-built craft uses tuned plant dynamics with an onboard embedded attitude controller to stabilise flight. Independent linear SISO controllers were designed to regulate flyer attitude. The performance of the system is demonstrated in indoor and outdoor flight.

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    Control Engineering Practice
    Article . 2010 . Peer-reviewed
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      Control Engineering Practice
      Article . 2010 . Peer-reviewed
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    Authors: Singh, Minerva; Evans, Damian; Chevance, Jean-Baptiste; Tan, Boun Suy; +4 Authors

    This study develops a modelling framework by utilizing multi-sensor imagery for classifying different forest and land use types in the Phnom Kulen National Park (PKNP) in Cambodia. Three remote sensing datasets (Landsat optical data, ALOS L-band data and LiDAR derived Canopy Height Model (CHM)) were used in conjunction with three different machine learning (ML) regression techniques (Support Vector Machines (SVM), Random Forests (RF) and Artificial Neural Networks (ANN)). These ML methods were implemented on (a) Landsat spectral data, (b) Landsat spectral band & ALOS backscatter data, and (c) Landsat spectral band, ALOS backscatter data, & LiDAR CHM data. The Landsat-ALOS combination produced more accurate classification results (95% overall accuracy with SVM) compared to Landsat-only bands for all ML models. Inclusion of LiDAR CHM (which is a proxy for vertical canopy heights) improved the overall accuracy to 98%. The research establishes that majority of PKNP is dominated by cashew plantations and the nearly intact forests are concentrated in the more inaccessible parts of the park. The findings demonstrate how different RS datasets can be used in conjunction with different ML models to map forests that had undergone varying levels of degradation and plantations. International audience

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    Other literature type . Article . 2019 . Peer-reviewed
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    Authors: Erik Meijaard; Thomas M. Brooks; Kimberly M. Carlson; Eleanor M. Slade; +21 Authors

    Delivering the Sustainable Development Goals (SDGs) requires balancing demands on land between agriculture (SDG 2) and biodiversity (SDG 15). The production of vegetable oils, and in particular palm oil, illustrates these competing demands and trade-offs. Palm oil accounts for 40%1 of the current global annual demand for vegetable oil as food, animal feed, and fuel (210 million tons2 (Mt)), but planted oil palm covers less than 5-5.5%3 of total global oil crop area (ca. 425 Mha)4 , due to oil palm’s relatively high yields5. Recent oil palm expansion in forested regions of Borneo, Sumatra, and the Malay Peninsula, where >90% of global palm oil is produced, has led to substantial concern around oil palm’s role in deforestation. Oil palm expansion’s direct contribution to regional tropical deforestation varies widely, ranging from 3% in West Africa to 47% in Malaysia. Oil palm is also implicated in peatland draining and burning in Southeast Asia. Documented negative environmental impacts from such expansion include biodiversity declines, greenhouse gas emissions, and air pollution. However, oil palm generally produces more oil per area than other oil crops, is often economically viable in sites unsuitable for most other crops, and generates considerable wealth for at least some actors. Global demand for vegetable oils is projected to increase by 46% by 2050. Meeting this demand through additional expansion of oil palm versus other vegetable oil crops will lead to substantial differential effects on biodiversity, food security, climate change, land degradation, and livelihoods. Our review highlights that, although substantial gaps remain in our understanding of the relationship between the environmental, socio-cultural and economic impacts of oil palm, and the scope, stringency and effectiveness of initiatives to address these, there has been little research into the impacts and trade-offs of other vegetable oil crops. Greater research attention needs to be given to investigating the impacts of palm oil production compared to alternatives for the trade-offs to be assessed at a global scale.\ud Over the past 25 years, global oil crops have expanded rapidly, with major impacts on land use. The land used for growing oil crops grew from 170 million ha (Mha) in 1961 to 425 Mha in 2017 or ~30% of all cropland world-wide. Oil palm, soy, and rapeseed together account for >80% of all vegetable oil production with cotton, groundnuts, sunflower, olive, and coconut comprising most of the remainder (Table 1, Figure 1). These crops, including soy (125 Mha planted area) and maize (197 Mha planted area), are also used as animal feed and other products.\ud Oil palm is the most rapidly expanding oil crop. This palm originates from equatorial Africa where it has been cultivated for millennia, but it is now widely grown in Southeast Asia. Between 2008 and 2017, oil palm expanded globally at an average rate of 0.7 Mha per year, and palm oil is the leading and cheapest edible oil in much of Asia and Africa. While it has been estimated that palm oil is an ingredient in 43% of products found in British supermarkets, we lack comparable studies for the prevalence of other oils.\ud As a wild plant, the oil palm is a colonising species that establishes in open areas. Cultivated palms are commonly planted as monocultures, although the tree is also used in mixed, small-scale and agroforestry settings. To maximize photosynthetic capacity and fruit yields, oil palm requires a warm and wet climate, high solar radiation, and high humidity. It is thus most productive in the humid tropics, while other oil crops, except coconut, grow primarily in subtropical and temperate regions (Table 1). Moreover, because oil palm tolerates many soils including deep peat and sandy substrates, it is often profitable in locations where few other commodity crops are viable. The highest yields from planted oil palm have been reported in Southeast Asia5 . Yields are generally lower in Africa and the Neotropics, likely reflecting differences in climatic conditions including humidity and cloud cover, as well as management, occurrence of pests and diseases, and planting stock.\ud Palm oil is controversial due to its social and environmental impacts and opportunities. Loss of natural habitats, reduction in woody biomass, and peatland drainage that occur during site preparation are the main direct environmental impacts from oil palm development. Such conversion typically reduces biodiversity and water quality and increases greenhouse gas emissions, and, when fire is used, smoke and haze. Industrial oil palm expansion by large multi-national and national companies is also often associated with social problems, such as land grabbing and conflicts, labour exploitation, social inequity16 and declines in village-level well-being. In producer countries, oil palm is a valued crop that brings economic development to regions with few alternative agricultural development options, and generates substantial average livelihood improvements when smallholder farmers adopt oil palm. Here we review the current understanding of the environmental impacts from oil palm cultivation and assess what we know about other oil crops in comparison. Our focus is on biodiversity implications and the environmental aspects of sustainability, and we acknowledge the importance of considering these alongside socio-cultural, political, and economic outcomes.

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    https://doi.org/10.31223/osf.i...
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