An analysis of tropical cyclone (TC) data from 1951 to 2013 in the Philippines revealed that an average of 19.4 TCs enter the Philippine Area of Responsibility (PAR) every year and nine TCs cross the country. Time series analysis of the TC datasets shows no significant trends in the annual number of TCs in PAR but a slightly decreasing trend in the number of landfalling TCs in the Philippines, particularly in the last two decades. However, while the analysis shows fewer typhoons (above 118 kph), more extreme TCs (above 150 kph) have affected the Philippines. The study also confirms that the Northern island of Luzon is most frequently hit by TCs, and that TC-associated rainfall is greatest in this region compared to the southernmost part of the country. The impact of TCs shows a consistently increasing trend in economic losses and damages. Further understanding of past and future trends of TC activity in the Western North Pacific Basin, and the PAR, including the impacts associated with them, will provide valuable insights for climate change adaptation and disaster risk management.
A generic systems dynamics (SD) model template for resilience is adapted to analyse flooding impacts on household assets and local government assets of Pasig City, Metro Manila. SD simulations are used to quantify the loss of system performance due to adverse impacts, and the recovery of the system due to response measures. The simulation results reflect the decreasing levels of resilience among low‐income households, and the reliance of local government on budgeting cycles to replenish assets. The initial model needs to be expanded to include other determinants of resilience, but this exploratory study reflects the potential usefulness of SD simulations as a decision support tool for city policy makers. By quantifying changes in resilience measures over time, simulations can complement qualitative analyses and test policy and programme scenarios.
Aim: Agriculture is one of the greatest pressures on biodiversity. Regional studies have shown that the presence of natural habitat and landscape heterogeneity are beneficial for biodiversity in agriculture, but it remains unclear whether their importance varies geographically. Here, we use local biodiversity data to determine which local and landscape variables are most associated with biodiversity patterns and whether their association varies between tropical and non-tropical regions.Location: Global terrestrial area in forest biomes.Major taxa studied: More than 21,000 species of vertebrates, invertebrates, plants and other taxa.
Methods:We used generalized linear mixed-effects models to analyse the relationships between either community total abundance or species richness (derived from the PREDICTS database) and a number of site-level (predominant land use and landuse intensity) and landscape-level variables (distance to forest, the percentage of natural habitat in the surrounding landscape, landscape homogeneity, the number of land-cover types in the landscape, and total fertilizer application). We compared the associations of these variables with biodiversity in tropical and non-tropical regions.
Results:In most cases, changes in biodiversity associated with landscape-level variables were greater than those associated with local land use and land-use intensity.Increased natural habitat availability was associated with the most consistent increases in biodiversity. Landscape homogeneity was also important but showed different directions of biodiversity change between regions. Associations with fertilizer application or the number of land-cover types were generally weaker, although still of greater magnitude than for the local land-use measures.Main conclusions: Our results highlight similarities and differences in the association of local-and landscape-scale variables with local biodiversity in tropical and non-tropical regions. Landscape natural habitat availability had a consistent positive association with biodiversity, highlighting the key role of landscape management in the maintenance of biodiversity in croplands. Landscape-scale variables were almost always associated with greater changes in biodiversity than the local-scale measures.
2020 was to be a landmark year for setting targets to stop biodiversity loss and prevent dangerous climate change. However, COVID-19 has caused delays to the 15th Conference of the Parties (COP) of the UN Convention on Biological Diversity and the 26 th COP of the UN Framework Convention on Climate Change. Negotiations on the Global Biodiversity Framework and the second submission of Nationally Determined Contributions under the Paris Agreement were due to take place at these COPs. There is uncertainty as to how the COVID-19 disruption will affect the negotiations, whether parties will pursue more ambitious actions or take a weaker stance on issues. Our policy analysis shows there are broad opportunities for climate and biodiversity frameworks to better respond to COVID-19, by viewing future pandemics, biodiversity loss,
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