Biophysical Processes Research Articles

Local temperature responses to actual land cover changes present significant latitudinal variability and asymmetry

Land cover changes (LCCs) affect surface temperatures at local scale through biophysical processes. However, previous observation-based studies mainly focused on the potential effects of virtual afforestation/deforestation using the space-for-time assumption, while the actual effects of all types of realistic LCCs are underexplored. Here, we adopted the space-and-time scheme and utilized extensive high-resolution (1-km) satellite observations to perform the first such assessment. We showed that, from 2006 to 2015, the average temperature in the areas with LCCs increased by 0.08 K globally, but varied significantly across latitudes, ranging from −0.05 to 0.18 K. Cropland expansions dominated summertime cooling effects in the northern mid-latitudes, whereas forest-related LCCs caused warming effects elsewhere. These effects accounted for up to 44.6% of overall concurrent warming, suggesting that LCC influences cannot be ignored. In addition, we revealed obvious asymmetries in the actual effects, i.e., LCCs with warming effects occurred more frequently, with stronger intensities, than LCCs with cooling effects. Even for the mutual changes between two covers in the same region, warming LCCs generally had larger magnitudes than their cooling counterparts due to asymmetric changes in transition fractions and driving variables. These novel findings, derived from the assessment of actual LCCs, provide more realistic implications for land management and climate adaptation policies.

Compound hazards of climate change, forestry, and other encroachments on winter pasturelands: a storyline approach in a forest reindeer herding community in Northern Sweden

The impacts of climate change on rural cultures and livelihoods depend on how the resulting complex biophysical processes may transform people’s land use practices. We argue that research can incorporate local concerns of compound hazards through deterministic rather than probabilistic approaches to better understand the multiple causations involved in such climate change impacts. We apply mixed methods within a storyline approach to examine how a forest reindeer herding community in Northern Sweden copes with and experiences basal ice formation on their winter pasturelands under the influence of climatic and environmental change. Our results show that the detrimental impact of basal ice formation on the availability of winter forage for reindeer is amplified by the directional effects of climate change and encroachments, especially particular forestry practices and their surrounding infrastructure. On the one hand, we show that policy action can address local concerns through ecological interventions that improve the amount and distribution of ground and pendulous lichens at the pastoral landscape scale. On the other hand, we show that policy inaction can threaten the community’s desired experience of human-animal relations in their landscape, which was inextricably connected to ecological conditions for natural pasture-based reindeer pastoralism.

The role of structural heterogeneity in the homodimerization of transmembrane proteins.

The equilibrium association of transmembrane proteins plays a fundamental role in membrane protein function and cellular signaling. While the study of the equilibrium binding of single pass transmembrane proteins has received significant attention in experiment and simulation, the accurate assessment of equilibrium association constants remains a challenge to experiment and simulation. In experiment, there remain wide variations in association constants derived from experimental studies of the most widely studied transmembrane proteins. In simulation, state-of-the art methods have failed to adequately sample the thermodynamically relevant structures of the dimer state ensembles using coarse-grained models. In addition, all-atom force fields often fail to accurately assess the relative free energies of the dimer and monomer states. Given the importance of this fundamental biophysical process, it is essential to address these shortcomings. In this work, we establish an effective computational protocol for the calculation of equilibrium association constants for transmembrane homodimer formation. A set of transmembrane protein homodimers, used in the parameterization of the MARTINI v3 force field, are simulated using metadynamics, based on three collective variables. The method is found to be accurate and computationally efficient, providing a standard to be used in the future simulation studies using coarse-grained or all-atom models.

Linking temperature dependence of fitness effects of mutations to thermal niche adaptation.

Fitness effects of mutations may generally depend on temperature that influences all rate-limiting biophysical and biochemical processes. Earlier studies suggested that high temperatures may increase the availability of beneficial mutations ('more beneficial mutations'), or allow beneficial mutations to show stronger fitness effects ('stronger beneficial mutation effects'). The 'more beneficial mutations' scenario would inevitably be associated with increased proportion of conditionally beneficial mutations at higher temperatures. This in turn predicts that populations in warm environments show faster evolutionary adaptation but suffer fitness loss when faced with cold conditions, and those evolving in cold environments become thermal-niche generalists ('hotter is narrower'). Under the 'stronger beneficial mutation effects' scenario, populations evolving in warm environments would show faster adaptation without fitness costs in cold environments, leading to a 'hotter is (universally) better' pattern in thermal niche adaptation. We tested predictions of the two competing hypotheses using an experimental evolution study in which populations of two model bacterial species, Escherichia coli and Pseudomonas fluorescens, evolved for 2400 generations at three experimental temperatures. Results of reciprocal transplant experiments with our P. fluorescens populations were largely consistent with the 'hotter is narrower' prediction. Results from the E. coli populations clearly suggested stronger beneficial mutation effects at higher assay temperatures, but failed to detect faster adaptation in populations evolving in warmer experimental environments (presumably because of limitation in the supply of genetic variation). Our results suggest that the influence of temperature on mutational effects may provide insight into the patterns of thermal niche adaptation and population diversification across thermal conditions.

Multifractal analysis on CT soil images: Fluctuation analysis versus mass distribution

The combined action of physical, chemical and biological processes at different scales creates a highly complex soil architecture. At the same time, this soil pores' complexity is crucial in maintaining soil biogeochemical and biophysical processes. The development of digital image processing and a multiscaling analysis allow a better study to quantify pore complexity and evaluate pore spatial variability. This study took saline soils from coastal reclamation areas as an example and aimed to compare the multifractality of porosity series using different methods on sample cubes of 512 pixels in length extracted at different soil depths. Two measures were selected to represent the porosity series: the average grey values (AVG) of each slice and the CT-porosity (CTP) of binarized slices. The mass distribution (MD), detrended fluctuation analysis (DFA), and the moments function (K) were the methods applied in the multiscaling study. Shuffled and surrogated series were used to analyze the two possible multifractality sources, the probability distribution density function (PDF) and long-range correlations, respectively.The results showed that MD gave the minimum multifractal spectrum, which appeared as a point in AGV and a narrow concave parabola in CTP. On the other hand, both AGV and CTP showed a higher complexity, a clear and significant multifractal behaviour when DFA and K were used. The shuffled and surrogated series pointed out that the long-range correlations were the main factor of the multifractal sources of the porosity series. Both long-range correlations and PDF influenced more heavily on the multifractality of porosity in topsoil (0– 20 cm) than in the deeper soil (20– 60 cm), implying that the porosity series in topsoil had stronger multifractality. In addition, the DFA and K, combined with shuffled and surrogated series analysis, can distinguish between different factors in the multiscaling behaviour of different soil textures and time reclamation.

Biomolecular condensates in kidney physiology and disease.

The regulation and preservation of distinct intracellular and extracellular solute microenvironments is crucial for the maintenance of cellular homeostasis. In mammals, the kidneys control bodily salt and water homeostasis. Specifically, the urine-concentrating mechanism within the renal medulla causes fluctuations in extracellular osmolarity, which enables cells of the kidney to either conserve or eliminate water and electrolytes, depending on the balance between intake and loss. However, relatively little is known about the subcellular and molecular changes caused by such osmotic stresses. Advances have shown that many cells, including those of the kidney, rapidly (within seconds) and reversibly (within minutes) assemble membraneless, nano-to-microscale subcellular assemblies termed biomolecular condensates via the biophysical process of hyperosmotic phase separation (HOPS). Mechanistically, osmotic cell compression mediates changes in intracellular hydration, concentration and molecular crowding, rendering HOPS one of many related phase-separation phenomena. Osmotic stress causes numerous homo-multimeric proteins to condense, thereby affecting gene expression and cell survival. HOPS rapidly regulates specific cellular biochemical processes before appropriate protective or corrective action by broader stress response mechanisms can be initiated. Here, we broadly survey emerging evidence for, and the impact of, biomolecular condensates in nephrology, where initial concentration buffering by HOPS and its subsequent cellular escalation mechanisms are expected to have important implications for kidney physiology and disease.

Hybridity and Multiscale Compatibility in Landscape Infrastructure for Mountain River Restoration: A Pathway Toward Environmental and Socio-Ecological Sustainability

River rehabilitation has traditionally focused on hard-engineering projects, which often fail to address environmental protection concerns and social-ecological services in a larger territorial context. In particular, mountain rivers pose unique challenges due to their diverse hydrological and morphological conditions, which are often overlooked by traditional restoration methods. Consequently, water quality deteriorates and social-ecological imbalances arise. To address these challenges, we propose a holistic solution that integrates landscape infrastructure (LI), a soft-engineered biophysical structure and process. Our approach combines hydrological analysis, ecological sensitivity assessment, and ecological design solutions to develop an LI framework for the Xiaojiahe basin in the Chongqing Mountain range in southwest China. This framework emphasizes integration across the spatial scale of landscape networks and corridors. Our study reveals the existence of fragmented river systems and limited connectivity among green spaces in the research area. The adoption of a comprehensive Landscape Infrastructure (LI) framework facilitates the execution of culturally sensitive and practical design solutions for Mountain Urban River Restoration (MURR) at different levels. This approach reinstates the multifaceted environmental and socio-ecological benefits of the basin. We believe that our approach can be applied to other cases with similar contexts and challenges.

Can a bulky glycocalyx promote catch bonding in early integrin adhesion? Perhaps a bit.

Many types of cancer cells overexpress bulky glycoproteins to form a thick glycocalyx layer. The glycocalyx physically separates the cell from its surroundings, but recent work has shown that the glycocalyx can paradoxically increase adhesion to soft tissues and therefore promote the metastasis of cancer cells. This surprising phenomenon occurs because the glycocalyx forces adhesion molecules (called integrins) on the cell's surface into clusters. These integrin clusters have cooperative effects that allow them to form stronger adhesions to surrounding tissues than would be possible with equivalent numbers of un-clustered integrins. These cooperative mechanisms have been intensely scrutinized in recent years. A more nuanced understanding of the biophysical underpinnings of glycocalyx-mediated adhesion could uncover therapeutic targets, deepen our general understanding of cancer metastasis, and elucidate general biophysical processes that extend far beyond the realm of cancer research. This work examines the hypothesis that the glycocalyx has the additional effect of increasing mechanical tension experienced by clustered integrins. Integrins function as mechanosensors that undergo catch bonding-meaning the application of moderate tension increases integrin bond lifetime relative to the lifetime of integrins experiencing low tension. In this work, a three-state chemomechanical catch bond model of integrin tension is used to investigate catch bonding in the presence of a bulky glycocalyx. A pseudo-steady-state approximation is applied, which relies on the assumption that integrin bond dynamics occur on a much faster timescale than the evolution of the full adhesion between the plasma membrane and the substrate. Force-dependent kinetic rate constants are used to calculate a steady-state distribution of integrin-ligand bonds for Gaussian-shaped adhesion geometries. The relationship between the energy of the system and adhesion geometry is then analyzed in the presence and absence of catch bonding in order to evaluate the extent to which catch bonding alters the energetics of adhesion formation. This modeling suggests that a bulky glycocalyx can lightly trigger catch bonding, increasing the bond lifetime of integrins at adhesion edges by up to 100%. The total number of integrin-ligand bonds within an adhesion is predicted to increase by up to ~ 60% for certain adhesion geometries. Catch bonding is predicted to decrease the activation energy of adhesion formation by ~ 1-4 kBT, which translates to a ~ 3-50 × increase in the kinetic rate of adhesion nucleation. This work reveals that integrin mechanics and clustering likely both contribute to glycocalyx-mediated metastasis.

Effects of membrane potentials on the electroporation of giant unilamellar vesicles.

Living organisms maintain a resting membrane potential, which plays an important role in various biophysical and biological processes. In the context of medical applications, irreversible electroporation (IRE) is a non-thermal and minimally invasive technique that utilizes precisely controlled electric field pulses of micro- to millisecond durations to effectively ablate cancer and tumor cells. Previous studies on IRE-induced rupture of cell-mimetic giant unilamellar vesicles (GUVs) have primarily been conducted in the absence of membrane potentials. In this study, we investigated the electroporation of GUVs, including parameters such as the rate constant of rupture and the probability of rupture, in the presence of various negative membrane potentials. The membranes of GUVs were prepared using lipids and channel forming proteins. As the membrane potential increased from 0 to -90 mV, the rate constant of rupture showed a significant increase from (7.5 ± 1.6)×10-3 to (35.6 ± 5.5)×10-3 s-1. The corresponding probability of rupture also exhibited a notable increase from 0.40 ± 0.05 to 0.68 ± 0.05. To estimate the pore edge tension, the electric tension-dependent logarithm of the rate constant was fitted with the Arrhenius equation for different membrane potentials. The presence of membrane potential did not lead to any significant changes in the pore edge tension. The increase in electroporation is reasonably explained by the decrease in the prepore free energy barrier. The choice of buffer used in GUVs can significantly influence the kinetics of electroporation. This study provides valuable insights that can contribute to the application of electroporation techniques in the biomedical field.

Important non-local effects of deforestation on cloud cover changes in CMIP6 models

Recent satellite and in-situ measurements show that forests can influence regional and global cloud cover through biophysical processes. However, forest’s possible local and non-local impacts on clouds remain unclear. By analyzing the model simulations from the Coupled Model Intercomparison Project Phase 6, here we show that deforestation-induced cloud cover changes have a strong latitudinal dependence, with decreased cloudiness in the tropics but increased cloudiness in the temperate and boreal regions. We further disentangle the local and non-local effects in influencing the cloudiness changes in model simulations. Results show that deforestation leads to a local cloud reduction in the tropics and a non-local cloud enhancement in the temperate and boreal regions. We demonstrate that the relationship between changes in cloud cover and deforestation would be misinterpreted without considering the non-local signals. Furthermore, our modeling results are inconsistent with recent observational studies, with enhanced clouds in model simulations but reduced clouds in observations in the temperate and boreal regions. Further efforts to explore the non-local effect and to reduce the model uncertainty could help advance our understanding of the biophysical effects of deforestation.

Biosynthesis of Selected Nanoparticles for Biomedical Applications

Nanoparticles (NPs) are materials with a size scale of 100 nm or less. They are produced using a combination of chemical and physical techniques, and frequently include the use of hazardous substances. These hazardous substances are difficult to remove from nanoparticle surfaces, making them bioincompatible and limiting their application as biomedical nanoparticles. Nanoparticles can currently be synthesized biologically using methods based on green chemistry. The fusion of nanotechnology and biology has given rise to a new field called nanobiotechnology, which aims to harness biological entities such as actinomycetes, algae, bacteria, fungi, viruses, yeast, and plants in a number of physicochemical, biochemical, and biophysical processes. Plant extracts have been used in biological applications because they are a rich source of phytomolecules and because their capping and reducing capabilities have been used in the production of metal and metal oxide NPs. The biosynthesized NPs have not only been examined for their antibacterial, antifungal, antioxidant, anticancer, and biocompatibility properties but also for their morphology using a number of analytical techniques. This approach, which is affordable and environmentally friendly, could substitute traditional chemical and physical methods for biomedical applications.

The Whole Is Greater Than The Sum of Its Parts: Large-scale Phenomena Arising from Small-Scale Biophysical Processes.

The symposium "Large-scale biological phenomena arising from small-scale biophysical processes" at the SICB 2023 Annual General Meeting focused on the cross-disciplinary exploration of emergent phenomena in biology. Interactions between cells or organisms at small scales within a system can govern patterns occurring at larger scales in space, time, or biological complexity. This theme recurs in many sub-disciplines of biology, including cell and developmental biology, evolution, and ecology. This symposium, and the associated special issue introduced here, showcases a wide range of cross-disciplinary collaborations among biologists, physicists, and engineers. Technological advancements in microscopy and microfluidics, as well as complementary advances in mathematical modelling and associated theory demonstrate the timeliness of this issue. This introduction seeks to provide useful background information to place the studies within this issue in a broader biophysical context and highlight similarities in ideas and approaches across systems and sub-disciplines. We hope to demonstrate that cross-disciplinary research linking small-scale biophysics to larger-scale emergent phenomena can help us understand problems ranging from single-cell behaviors to tissue formation and function, evolution of form, and the dynamics of communities.

Exploring the structural stability of hemoglobin in DBU-based ionic liquids: Insights from spectroscopic investigations

Globular proteins like heme proteins have garnered significant attention owing to their multiple applications in biochemical as well as biophysical processes and are the major functionalities in various pharmaceuticals and health care products. Hemoglobin (Hb), is the widely studied protein in existence and is the most familiar constituent of vertebrate erythrocytes. Protein solubility and stability in aqueous solutions is a major concern to develop therapeutic protein products as the protein lose its activity under unfolded state. Academic and industrial communities have shown great interest in the selection of an apt solvent for biomolecules in suitable biocatalytic applications. Ionic liquids (ILs) have emerged as a suitable cosolvent for the protein molecules by virtue of its high thermal as well as chemical stabilities. Each IL-Protein interaction is specific and generalizing the behaviour is tedious because the same IL can act as both stabilizer and denaturant depending on the external parameters and IL concentration as well. Here in this study, we have synthesized 1,8-Diazabicyclo[5.4.0]undec-7-ene (DBU) based ILs derived from heterocyclic bases like 1,2,4- triazole, imidazole and morpholine. DBU based ILs are least explored in biomolecule applications but are known for their high thermal stabilities. The interaction of these ILs with hemoglobin was analysed using various spectroscopic techniques including UV–Visible spectroscopy, steady-state fluorescence, Fluorescence Time-Correlated Single Photon Counting (TCSPC), and Dynamic Light Scattering (DLS) to gain better insight into the effects of these ionic liquids on Hb. These results revealed that all the ILs used here are showing Hb friendly behaviour at lower concentrations as it retains the absorbance and fluorescence behaviour of the protein molecule. DLS data explains the solubilization of the Hb molecule, as the ‘z’ average values decreased with periodic addition of the ILs to the system. Quantitative evaluation of the Hb-IL interactions through Benesi-Hildebrand equation suggested that the possibility of complex formations are minimal and this further substantiate that these ILs can act as better cosolvents for Hb in various biochemical reactions.

Planning to ‘Hear the Farmer’s Voice’: an Agent-Based Modelling Approach to Agricultural Land Use Planning

Agricultural land use is influenced not only by multiple aspects of biophysical and socio-economic processes, but also the cumulative impacts of individual farmer decisions. Farmers’ activities and decisions at farm scale shape land use and water utilisation at regional scale, yet land use planning processes do not take into account farmers’ knowledge and decision-making processes as they respond to, and in turn shape, change. Farmers’ voices are missing in the planning system. In this paper, we address the complexity of agricultural land use planning and examine the possibility of agricultural land use planning from the bottom-up via simulation to integrate environmental, economic and human factors that influence land use change. We present an innovative approach to model the interactions between government policy, market signals, and farmers’ land use decisions, and how the accumulated effects of these individual decisions change agricultural land use patterns at regional scale, using spatial and temporal agent-based modeling. A multi-stage mixed method spatial agent-based modeling (ABM) approach, aligned with the Geodesign framework, can incorporate local knowledge and decision-making into models of regional land use change. To illustrate the new approach, we examine the impact of milk market price on changes in land use in Tasmania, Australia. This approach brings together local knowledge with scientific, planning, and policy knowledge to generate dynamic scenarios for informed agricultural land-use planning decisions.

A modeling framework for World-Earth system resilience: exploring social inequality and Earth system tipping points

The Anthropocene is characterized by the strengthening of planetary-scale interactions between the biophysical Earth system (ES) and human societies. This increasing social-ecological entanglement poses new challenges for studying possible future World-Earth system (WES) trajectories and World-Earth resilience defined as the capacity of the system to absorb and regenerate from anthropogenic stresses such as greenhouse gas emissions and land-use changes. The WES is currently in a non-equilibrium transitional regime of the early Anthropocene with arguably no plausible possibilities of remaining in Holocene-like conditions while sheltering up to 10 billion humans without risk of undermining the resilience of the ES. We develop a framework within which to conceptualize World-Earth resilience to examine this risk. Because conventional ball-and-cup type notions of resilience are hampered by the rapid and open-ended social, cultural, economic and technological evolution of human societies, we focus on the notion of ‘pathway resilience’, i.e. the relative number of paths that allow the WES to move from the currently occupied transitional states towards a safe and just operating space in the Anthropocene. We formalize this conceptualization mathematically and provide a foundation to explore how interactions between ES resilience (biophysical processes) and World system (WS) resilience (social processes) impact pathway resilience. Our analysis shows the critical importance of building ES resilience to reach a safe and just operating space. We also illustrate the importance of WS dynamics by showing how perceptions of fairness coupled with regional inequality affects pathway resilience. The framework provides a starting point for the analysis of World-Earth resilience that can be extended to more complex model settings as well as the development of quantitative planetary-scale resilience indicators to guide sustainable development in a stabilized ES.

Microscale spatiotemporal patterns of water, soil organic carbon, and enzymes in plant litter detritusphere

Understanding biophysical and biochemical processes in detritusphere is critical to quantifying and modeling plant residue decomposition dynamics and subsequent soil organic carbon (C) accrual. The objectives of the study were to explore (i) micro-environmental conditions within the detritusphere formed around decomposing corn and soybean leaves, and (ii) the relationships between moisture distribution, enzyme activity, and C dynamics during decomposition. We assessed spatial and temporal dynamics of moisture distribution using X-ray and neutron computed tomography, and activities of β-glucosidase and chitinase, two enzymes involved in soil C and N processing, using zymography. We used 13C labeled residue to track residue contribution to atmospheric CO2 and soil organic C. Moisture redistribution pattern varied depending on the residue type. While the water was immediately absorbed by the corn leaves and maintained afterward, switchgrass leaves absorbed water more slowly and created water-deficient zones within ∼1mm from the residue. This initial moisture depletion led to lower chitinase activity and residue-derived CO2 emissions in switchgrass. In contrast to chitinase, β-glucosidase activity was influenced by a combination of vegetation history and residue type, and it was higher when the origin of the residue matched the vegetation history of the soil. Pore size had an opposite impact on the studied enzymes, supporting the notion that contrasting soil pore architecture can stimulate activities of different enzymes through a selection of dominant enzyme producers. We concluded that the decomposition dynamics of plant residues is not only a simple function of residue chemistry, but rather a combined effect of the vegetation history, in part through its effect on microbial community composition, the plant residue chemical and likely physical characteristics, and the soil pore structure in the detritusphere. Together, they create temporally dynamic micro-environmental conditions influencing decomposition. Specifically, our study demonstrated that the initial micro-environment formulated in detritusphere can play an important role in enzyme activities and consequent C dynamics.

Different aspects of consciousness explained by distinct biophysical processes.

Different aspects of consciousness explained by distinct biophysical processes.

Identification of criticalwatershed pakerisan based on remote sensing and geographic information systems for sustainable land capability

Watersheds can be viewed as natural systems where complex hydrological biophysical processes as well as socio-economic and cultural activities of the community take place. Changes in watershed hydrological conditions as a result of uncontrolled expansion of cultivation areas without regard to soil and water conservation principles often lead to conditions of increased erosion and sedimentation, decreased land productivity, and accelerated land degradation. The purpose of this research was to determine the level of erosion’s danger and critical level of land in the watershed Pakerisan. Determination of the critical level of land is done by evaluating the parameter determining critical areas, such as the closure and land productivity, slope, erosion, and land management with the scoring method. The level of erosion’s danger is calculated using the Universal Soil Loss Equation (USLE). The results shows that the level of the erosion’s danger in the watershed Pakerisan is very light of 38 covering 4654.69 ha (51.19%), light as many as 44 units of land area of 3243.54 (35.68% ), medium 15 units of land area of 1022.29 ha (11.24%) and weight 3 units of land area of 171.97 ha (1.89%). Critical level of land area in Watershed Pakerisan consists of a non-critical area of 5653.99 ha (62.19%), potential critical area of 1951.67 ha (21.47%) and rather critical area of 1486.23 ha (16.35% ). Avoid further escalation of the critical level of land in the watershed Pakerisan, the real efforts of stakeholders including government, private, and community is needed

Un-muddying the waters: Using benthic and shorebird population data to assess intertidal mudflat conditions and inform management strategies in two Irish Sea marine protected areas

Intertidal mudflats are highly productive coastal habitats, serving as a transition zone between terrestrial and marine ecosystems and providing a wealth of ecosystem services, including providing nursery and feeding grounds for many species of conservation and commercial importance. These habitats are important for wintering shorebirds and waders, which depend on them for food, nesting, and migration. Their importance was formally recognised in 1971 following the Ramsar Convention on Wetlands of International Importance, yet their conservation status remains largely uncertain as they are difficult to survey, and a complete understanding of their complex biophysical processes has yet to be established. While intertidal mudflats are found all around the UK coastline, there are few routine field surveys of these habitats, making effective conservation in the face of rising anthropogenic and climate pressures challenging. Marine protected areas (MPAs) across the UK list mudflats and sandflats not covered by seawater at low tide as a designation feature separate from saltmarshes, but they are often managed together – where management exists. A lack of resources has resulted in several paper parks around the UK, where MPAs are designated but not adequately monitored or managed. This study explores the use of population data of benthic species and shorebirds as a proxy for temporal changes in mudflat conditions, focusing on two MPAs in the Irish Sea, Strangford Lough in Northern Ireland, and the Solway Firth in Scotland/England. It finds that the two methods together can provide information useful to support MPA management, but this approach is hampered by poor availability of sufficient data. Such data limitation can impact what it means to achieve or maintain favourable conditions for these habitats.

Lake Victoria: Overview of research needs and the way forward

Over 42 million people rely on Lake Victoria as their primary source of food, employment, and clean drinking water. The lake's fisheries have produced around one million tonnes in recent years, but the lake's growing population has resulted in a lower catch rate per capita. And the lake and its catchment have been negatively impacted by a wide variety of human activities, such as overfishing, oil spills, discharge of untreated waste, spread of invasive species, over-abstraction of water from the lake basin, and climate change, among other drivers of change. This paper presents existing research gaps, existing capacity, and presents a way forward for priority research on issues ranging from fish and fisheries, biodiversity, pollution, invasive species, aquaculture, human population growth and socio-economics, land use changes, habitat degradation, climate change and skills and knowledge. The purpose of this paper is to document: information that is currently available from previous research; the existing scientific capacity; and the resources required to guarantee that Lake Victoria becomes a heathy and biologically diverse resource for the millions of people who are dependent on it. It is clear from this synthesis that the biological, social, and economic benefits that can be derived from Lake Victoria can only be accomplished through the utilization of multi-disciplinary approaches in the research and monitoring of both basin-wide and lake-wide biophysical processes, as well as the modeling of all potential interactions between the ecology of the basin and the lake.