A strategy for baseline monitoring of estuary Special Protection Areas

Habitat selection, foraging ecology and conservation of Eastern Curlews on their non-breeding grounds

The Conservation (Natural Habitats, & c.) Regulations 1994 which implement the Habitats Directive (Council Directive 92/43/EEC) and Birds Directive (79/409/EEC) in the UK include a number of provisions for the protection of European Marine Sites (marine candidate Special Areas of Conservation (cSAC) and Special Protection Areas (SPAs)), including the requirement for competent authorities to assess the effects of new and existing consents, permissions and authorisations to ensure that they are not having an adverse effect on the integrity of the site (Regulations 48 and 50). In England and Wales site characterisation, a process which involves the collation, integration and critical evaluation of existing site knowledge, is seen by the Environment Agency (EA) and the nature conservation bodies (English Nature – EN, and the Countryside Council for Wales – CCW) as an important step towards evaluating the effects of consented discharges and activities on the interest features of EMS, and is fundamental to the development of ecosystem-based management. An on-going project, led by the Marine Biological Association of the United Kingdom (part of the Plymouth Marine Science Partnership) in collaboration with EA, EN and CCW, sets out to characterise the impacts and risks associated with water and sediment quality in relation to the integrity and interest features of selected European Marine Sites in southwest England and Wales. Using published information and unpublished data-sets from regulatory agencies, conservation bodies, and research institutes, evidence is compiled on the links between potentially harmful activities, environmental quality and resultant biological effects, and includes an evaluation of long-term change. An overview of results is presented here for one of the UK marine sites studied, The Fal and Helford candidate SAC, highlighting the threats to biota from point-source and diffuse pollutants, together with major gaps in our understanding. Some of the priorities for new research and better integrated monitoring to address nature conservation objectives (to maintain and restore the system) are discussed.

Standardized methods for effectively and rapidly monitoring changes in the biodiversity of marine ecosystems are critical to assess status and trends in ways that are comparable between locations and over time. In intertidal and subtidal habitats, estimates of fractional cover and abundance of organisms are typically obtained with traditional quadrat-based methods, and collection of photoquadrat imagery is a standard practice. However, visual analysis of quadrats, either in the field or from photographs, can be very time-consuming. Cutting-edge machine learning tools are now being used to annotate species records from photoquadrat imagery automatically, significantly reducing processing time of image collections. However, it is not always clear whether information is lost, and if so to what degree, using automated approaches. In this study, we compared results from visual quadrats versus automated photoquadrat assessments of macroalgae and sessile organisms on rocky shores across the American continent, from Patagonia (Argentina), Galapagos Islands (Ecuador), Gorgona Island (Colombian Pacific), and the northeast coast of the United States (Gulf of Maine) using the automated software CoralNet. Photoquadrat imagery was collected at the same time as visual surveys following a protocol implemented across the Americas by the Marine Biodiversity Observation Network (MBON) Pole to Pole of the Americas program. Our results show that photoquadrat machine learning annotations can estimate percent cover levels of intertidal benthic cover categories and functional groups (algae, bare substrate, and invertebrate cover) nearly identical to those from visual quadrat analysis. We found no statistical differences of cover estimations of dominant groups in photoquadrat images annotated by humans and those processed in CoralNet (binomial generalized linear mixed model or GLMM). Differences between these analyses were not significant, resulting in a Bray-Curtis average distance of 0.13 (sd 0.11) for the full label set, and 0.12 (sd 0.14) for functional groups. This is the first time that CoralNet automated annotation software has been used to monitor “Invertebrate Abundance and Distribution” and “Macroalgal Canopy Cover and Composition” Essential Ocean Variables (EOVs) in intertidal habitats. We recommend its use for rapid, continuous surveys over expanded geographical scales and monitoring of intertidal areas globally.

We collected detailed spatial data on birds as part of a broader effort to understand food webs in California Estuaries. The survey area was Carpinteria Salt Marsh, California USA, which comprises 9 Ha tidal channels, 2 Ha salt flats, 17 Ha upland habitat, 6 Ha tidal pans, 52 Ha vegetated marsh, and 2 Ha tidal flats. In 30 surveys, we mapped 21,486 birds comprising 88 species interacting with the intertidal habitat. Each full survey represents a unique month-year-tide combination (but not necessarily a unique day). Specifically, for each of 15 months between January 2012 and March 2013 we conducted separate, but temporally adjacenthigh-tide and low-tide bird surveys (30 in total) throughout the intertidal habitats. Back to back surveys within the same month are not meant to be independent measures of bird abundance and should be averaged to get an idea of bird abundance in a particular month. Birds were observed along a 12.2 km walking transect designed so that an observer would pass within 50m of all habitat in the estuary. However, to approximate a census, observers were allowed to deviate from the transect to obtain clear views of features like tidal channels. Birds were counted if they were in the intertidal habitat. We also counted some species, like raptors, if they were perched in adjacent upland habitats, but potentially interacting with the estuary.

In an aging society, it is important to visualize the conditions of people living with diseases or disabilities, such as frailty and sarcopenia, and determine the environmental and genetic factors underlying such conditions. Atherosclerosis and arterial stiffness are key conditions between these factors and noncommunicable diseases. In 2014, we launched a population-based prospective open-cohort study, the Nagasaki Islands Study (NaIS), which was conducted in Goto City, located in the remote islands of Nagasaki Prefecture, Japan, mostly involving middle-aged and older residents. We conducted our own health checkups along with the annual standardized checkups organized by the municipality; recruited study participants; and started to follow them for vital status (death), migration, and occurrence of diseases, such as myocardial infarction, stroke, fracture, and human T-cell leukemia virus type 1 (HTLV-1)-associated uveitis. Our checkups were conducted as baseline surveys in different areas of Goto City during the fiscal years 2014–2016, secondary surveys during 2017–2019, and tertiary surveys since 2021, consisting of medical interviews, physical examinations, blood and urine tests, body composition measurements, osteoporosis screening, arterial stiffness measurements, carotid ultrasonography, and dental examination. A total of 4,957 residents participated in either the baseline or secondary surveys and were followed; 3,594 and 3,364 residents (aged 27–96 and 28–98 years) participated in the baseline and secondary surveys, respectively. In conclusion, the NaIS has been undertaken to reveal the influence of aging and risk factors of noncommunicable diseases and disabilities, with an aim to contribute towards better healthcare in the future.

Four-dimensional seismic analysis is an effective reservoir surveillance tool to track the changes of fluid and pressure phases in the oil and gas reservoirs over time of the baseline and monitoring seismic acquisition. In practice, the 4D seismic signal associated with such changes may be negligible, especially in heterogeneous carbonate reservoirs. Therefore, 4D seismic analysis is a model for integrating various disciplines in the oil and gas industry, such as seismic, petrophysics, reservoir engineering, and production engineering. In this study, we started the 4D seismic workflow with a 1D well-based 4D feasibility study to detect the likelihood of 4D signals before performing 4D seismic co-processing of the baseline and monitoring surveys starting from the seismic field data of both datasets. As part of a full 4D seismic co-processing of the baseline and monitor surveys, 4D seismic metric attributes were analyzed over the survey area to measure the improvement in seismic acquisition repeatability for the scarce 1994 baseline seismic and the 2014 monitor seismic survey. For the monitor survey, a 4D time-trace shift was performed using the baseline survey as a reference to measure the time shifts between the baseline and monitor surveys at 20-year intervals. The 4DFour-dimensional dynamic trace warping was followed by a 4D seismic inversion to compare the 4D difference in the seismic inverted data with the difference in seismic amplitude. The seismic inversion helped overcome noise, multiple contaminations, and differences in dynamic amplitude range between the baseline and monitor seismic surveys. We then examined the relationship between well logs and seismic volumes by predicting a volume of log properties at the well locations of the seismic volume. In this method, we computed a possibly nonlinear operator that can predict well logs based on the properties of adjacent seismic data. We then tested a Deep Feed Forward Neural Network (DFNN) on six wells to adequately train and validate the machine learning approach using the baseline and monitoring seismic inverted data. The objective of trying such a deep machine learning approach was to predict the density and porosity of both the baseline and the monitoring seismic data to validate the accuracy of the 4D seismic inversion and evaluate the changes in reservoir properties over a time-lapse of 20 years of production from 1994 to 2014. Finally, we matched the 4D seismic signal with changes in reservoir production properties, investigating the mechanism underlying the observed 4D signal. It was found that the detectability of 4D signals is primarily related to changes in fluid saturation and pressure changes in the reservoir, which increased from 1994 to 2014. This innovative closed-loop research proved that the low repeatability of seismic acquisition can be compensated by optimal 4D seismic co-processing with a complete integration workflow to assess the reliability of the 4D seismic observed signal.

Methodological Lessons Learned From Conducting a Population-Based Phone Survey on Nutrition Practices in the Kyrgyz Republic

Food supply in the nesting territories of species has a key role to the species diet composition and their breeding success. Red-footed falcon (Falco vespertinus) preys predominantly on larger insect species with a supplementary portion of smaller vertebrates. In the breeding periods 2014 and 2016 their food supply, focusing on Orthoptera, Mantodea, Rodentia and Eulipotyphla, was analysed at five historical nesting sites of the species in Slovakia. Preference for these prey groups in the diet was also studied at the last active nesting site in this country. Overall we recorded 45 Orthoptera species (of which 23 species are known as the food of the red-footed falcon), one species of Mantodea, 10 species of Rodentia (of which 2 species are known as the food of the red-footed falcon) and 5 species of the Eulipotyphla order in the food supply. With regard to the availability of the falcons' preferred food, in both years the most suitable was the Tvrdošovce site, which continuously showed the greatest range and abundance of particular species. In the interannual comparison the insects showed lower variability in abundance than the small mammals. In 2014 the growth of the common vole (Microtus arvalis) population culminated and with the exception of a single site (Bodza) a slump in abundance was recorded in 2016. In comparing the diet composition with the food supply at the last Slovak breeding site Rusovce (Special Protection Area Sysľovské polia), we recorded significant preference for grasshopper Caliptamus italicus (in 2014), common vole (in 2016) and cricket Tettigonia viridissima (in both years) in the falcons' diet. They did not prey on the Apodemus sylvaticus species belonging among the abundant small mammal species in that locality. Conservation measures in the agricultural landscape are discussed in relation to homogeneous red-footed falcon breeding territories.

Seasonal variability of turbidity, salinity, temperature and suspended chlorophyll in a strongly tidal sub-estuary: The Lynher Marine Conservation Zone

Broad scale agreement between intertidal habitats and adaptive traits on a basis of contrasting population genetic structure

Hardly a month passes without news of a "landmark" report on the state of our world. March 2023 saw publication of the latest Synthesis Report of the Intergovernmental Panel on Climate Change summarising the state of knowledge of climate change, its widespread impacts and risks, and progress with mitigation and adaptation. This was accompanied by comprehensive coverage globally with news channels highlighting that scientists had delivered a "final warning" on climate with urgent action needed now to secure a liveable future for all. Approximately 3.3-3.6 billion people are estimated to live in environments that are highly vulnerable to climate change; with the report assigning a "high level of confidence" that climate change has caused substantial damage, and increasingly irreversible losses, in terrestrial, freshwater, and ocean ecosystems while reducing food security and water security. Copping questioned "How Precious is our Water", highlighting how drought resulting from extreme weather intensified by the climate crisis contributes to a number of humanitarian crises in Africa and the Middle East. Eutrophication of rivers and other inland waters in areas of high input agricultural systems is another aspect of the water-related ecological crises with farming a major source of polluting nutrients, particularly nitrates and phosphates. In England, for example, despite significant reductions in phosphorous fertiliser use since the 1980s, 55% of assessed river water bodies and 75% of assessed lakes failed the current Water Framework Directive phosphorus standards for good ecological status aimed to prevent eutrophication. Agriculture and rural land management has now overtaken waste water discharge as the most common cause of phosphate pollution. The phosphate issue has led to long delays in determining planning applications in the catchments of sensitive wetland habitats such as the Somerset Moors and Levels in South West England. Such sites are designated as Special Protection Areas and listed under the international Ramsar Convention so new development requires a Habitats Regulation Assessment to ensure there is no additional phosphate loading. Agriculture is also the dominant source of nitrate in water courses contributing about 70% of total inputs in England.

In estimating air temperature using ground temperature from GMS IR data, ground effect corrections are equally important as atmospheric effect corrections. However, ground effect corrections are very difficult to conduct, requiring a great amount of analyses because of complicated relationship between air temperatures and ground temperatures.In our previous study (Tani et al, 1984), it was found that the classification of AMeDAS meteorological sites using deviation between temperatures estimated from the GMS IR data and those obtained from AMeDAS data, indicated that meteorological sites of the same type tend to form groups. This shows that the accuracy of temperature estimations increases when the estimation is carried out by small districts. The classification of AMeDAS meteorological sites in Hokkaido was conducted by cluster analysis using temperature deviations. The following two kinds of data were used for the cluster analysis: sixty-one GMS IR data and AMeDAS data collected from 1979 through 1984. Mean deviations between the temperatures estimated from GMS IR data obtained at three hour intervals and those obtained from AMeDAS data were calculated. Using these deviations, cluster analyses of AMeDAS meteorological sites were made. The results are shown in Fig. 2. Furthermore, AMeDAS meteorological sites were classified based on the deviations between the time average temperatures of AMeDAS and the time temperature of AMeDAS. The results are shown in Fig. 3.Using the results of this classification, temperatures of the five districts were estimated, shown in Figs. 2 and 3. The temperature estimations of the five districts were conducted using four methods (six different calculation methods) and the accuracies clarified.1) The regression equation of surface temperature from GMS data and AMeDAS temperature was calculated throughout Hokkaido island. The regression equation was applied to five districts. (named One-equation method)2) The regression equations were calculated for each cluster. The regression equations were applied to the clustered meteorological sites in five districts. The following two kinds of data were used for the cluster analysis.a) GMS IR data.b) AMeDAS data.(named Cluster method)3) The regression equations were calculated for each five district. (named District method)4) AMeDAS meteorological sites were selected based on the classification results of Figs. 2 and 3 for each five district. The regression equations were calculated for those groups. The classifications in Figs. 2 and 3 were calculated using following two data.a) GMS IR data.b) AMeDAS data.(named District-cluster method)Table 1 shows the estimation accuracy of different calculation methods. The calculation results of method 4 (District-cluster method) were the most accurate with an error of 1.0±0.1 (K).

Site classification of Italian accelerometric stations from cluster analysis of residuals of peak ground motion data regressions

A license to produce? Farmer interpretations of the new food security agenda

Chitons of the genus Ischnochiton are found predominantly on the undersurfaces of boulders, compared with other intertidal or subtidal habitats. They therefore appear to be habitat‐specialists at this scale. This, combined with the fact that boulder fields are relatively sparse compared with other intertidal habitats, makes these animals vulnerable to natural and anthropogenic disturbances. In addition, many species of Ischnochiton are relatively rare and appear to have very patchy abundances, making them likely to have very specific requirements for habitat. We need to understand the habitat requirements in order to manage, conserve and restore disturbed habitats. The present study was carried out at three intertidal boulder fields separated along approximately 200 km of the coast of New South Wales, Australia, centred around Sydney. The boulder fields were representative of those found in this region. The boulders were made of different materials: shale in the north, sandstone in Sydney and quartzitic sandstone in the south. Some boulders in each boulder field were covered by up to 0.4 m of water during low tide. The study showed that the seven species examined were overdispersed among boulders in each of these three intertidal boulder fields. Most boulders did not have associated chitons, but there were very large abundances on a very small number of boulders. Chitons were also overdispersed among boulders that they occupied. These patterns were consistent among shores and among species, even though patterns of abundance were extremely different among different species. These species appear therefore to show specific requirements for habitat at a small spatial scale, using only a small proportion of potential patches of habitat (i.e. boulders) in any place. Extremely patchy patterns of dispersion can be caused by variation in patterns of recruitment, mortality or behavioural responses to habitat or other species. Before performing experiments to investigate such processes, it is useful to test hypotheses of association with habitat using mensurative experiments to identify environmental correlates that might explain the observed patterns. In the present study, sizes of boulders and the associated sessile and mobile assemblages were proposed as mechanisms that could affect dispersion of chitons among boulders. None of these factors, however, showed strong associations with abundances of chitons. The lack of support of these models rules out some features of habitat to which species of Ischnochiton might respond, thereby precluding manipulative experiments involving these features, which are unlikely to be involved in the very patchy patterns of dispersion of species of Ischnochiton.