Hasil untuk "Land use"

R. White, G. Engelen

A. Shalaby, R. Tateishi

J. Patz, P. Daszak, G. Tabor et al.

Anthropogenic land use changes drive a range of infectious disease outbreaks and emergence events and modify the transmission of endemic infections. These drivers include agricultural encroachment, deforestation, road construction, dam building, irrigation, wetland modification, mining, the concentration or expansion of urban environments, coastal zone degradation, and other activities. These changes in turn cause a cascade of factors that exacerbate infectious disease emergence, such as forest fragmentation, disease introduction, pollution, poverty, and human migration. The Working Group on Land Use Change and Disease Emergence grew out of a special colloquium that convened international experts in infectious diseases, ecology, and environmental health to assess the current state of knowledge and to develop recommendations for addressing these environmental health challenges. The group established a systems model approach and priority lists of infectious diseases affected by ecologic degradation. Policy-relevant levels of the model include specific health risk factors, landscape or habitat change, and institutional (economic and behavioral) levels. The group recommended creating Centers of Excellence in Ecology and Health Research and Training, based at regional universities and/or research institutes with close links to the surrounding communities. The centers’ objectives would be 3-fold: a) to provide information to local communities about the links between environmental change and public health; b) to facilitate fully interdisciplinary research from a variety of natural, social, and health sciences and train professionals who can conduct interdisciplinary research; and c) to engage in science-based communication and assessment for policy making toward sustainable health and ecosystems.

R. DeFries, J. Foley, G. Asner

R. Matthews, N. Gilbert, A. Roach et al.

P. Verburg, K. Overmars

S. Polasky, E. Nelson, D. Pennington et al.

P. Verburg, K. Neumann, L. Nol

Dongjie Guan, Hai-feng Li, T. Inohae et al.

C. Asker, E. van Dongen, O. Tasse

<p>Air pollution adversely affects health, ecosystems, and infrastructure. In the <i>Western Balkans</i> (Albania, Bosnia and Herzegovina, Kosovo<span class="note-anchor" id="fna_Ch1.Footn1"><a href="#fn_Ch1.Footn1">¹</a></span>, Montenegro, the Republic of North Macedonia, and Serbia), the air pollution situation is more adverse than in the European Union in general. Understanding the air quality situation requires high-quality emission data with a high-resolution spatial distribution, especially for enabling remediation efforts, which is lacking in the Western Balkan region.</p> <p>In this work, we have calculated air pollution emissions from the heating of individual housing units in the Western Balkan region. The basis for the dataset is a geographical dataset of buildings detected from satellite imagery by artificial intelligence (AI) methods. The building data have been combined with geospatial land-use datasets and statistical data for heating needs for residential buildings in the countries included and finally with emission factors to calculate the heating emissions.</p> <p>Using this novel approach, the resulting datasets provide high-resolution heating emission data for common pollutants and are published as open data (<a href="https://doi.org/10.5281/zenodo.13906810">https://doi.org/10.5281/zenodo.13906810</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx2">Asker</a>, <a href="#bib1.bibx2">2024</a></span>). When comparing national totals for emissions, the datasets in this work are comparable to other, spatially coarser datasets, though the agreement strongly depends on the fuel usage data for each country/region.</p>

Bharat Sharma, Jitendra Kumar, Auroop R. Ganguly et al.

Increasing surface temperature could lead to enhanced evaporation, reduced soil moisture availability, and more frequent droughts and heat waves. The spatiotemporal co-occurrence of such effects further drives extreme anomalies in vegetation productivity and net land carbon storage. However, the impacts of climate change on extremes in net biospheric production (NBP) over longer time periods are unknown. Using the percentile threshold on the probability distribution curve of NBP anomalies, we computed negative and positive extremes in NBP. Here we show that due to climate warming, about 88% of global regions will experience a larger magnitude of negative NBP extremes than positive NBP extremes toward the end of 2100, which accelerate the weakening of the land carbon sink. Our analysis indicates the frequency of negative extremes associated with declines in biospheric productivity was larger than positive extremes, especially in the tropics. While the overall impact of warming at high latitudes is expected to increase plant productivity and carbon uptake, high-temperature anomalies increasingly induce negative NBP extremes toward the end of the 21st century. Using regression analysis, we found soil moisture anomalies to be the most dominant individual driver of NBP extremes. The compound effect of hot, dry, and fire caused extremes at more than 50% of the total grid cells. The larger proportion of negative NBP extremes raises a concern about whether the Earth is capable of increasing vegetation production with growing human population and rising demand for plant material for food, fiber, fuel, and building materials. The increasing proportion of negative NBP extremes highlights the consequences of not only reduction in total carbon uptake capacity but also of conversion of land to a carbon source.

Sofiane Bouaziz, Adel Hafiane, Raphael Canals et al.

Urban heatwaves, droughts, and land degradation are pressing and growing challenges in the context of climate change. A valuable approach to studying them requires accurate spatio-temporal information on land surface conditions. One of the most important variables for assessing and understanding these phenomena is Land Surface Temperature (LST), which is derived from satellites and provides essential information about the thermal state of the Earth's surface. However, satellite platforms inherently face a trade-off between spatial and temporal resolutions. To bridge this gap, we propose FuseTen, a novel generative framework that produces daily LST observations at a fine 10 m spatial resolution by fusing spatio-temporal observations derived from Sentinel-2, Landsat 8, and Terra MODIS. FuseTen employs a generative architecture trained using an averaging-based supervision strategy grounded in physical principles. It incorporates attention and normalization modules within the fusion process and uses a PatchGAN discriminator to enforce realism. Experiments across multiple dates show that FuseTen outperforms linear baselines, with an average 32.06% improvement in quantitative metrics and 31.42% in visual fidelity. To the best of our knowledge, this is the first non-linear method to generate daily LST estimates at such fine spatial resolution.

Tao Peng, Shijie Wang

Junaid Mushtaq Lone, Shinsuke Agehara, Amr Abd-Elrahman

Commercial strawberry (Fragaria ×ananassa Duch.) production in Florida relies heavily on bare-root transplants, which typically have 3–5 leaves with partially desiccated roots. Successful establishment requires sprinkler irrigation during daylight hours for the first 10–14 days, leading to substantial water consumption. To address this issue, we evaluated the efficacy of intermittent sprinkler irrigation as a water conservation strategy. We conducted field experiments over two growing seasons [Season 1 (2021–22) and Season 2 (2022–23)] in west-central Florida using three major strawberry cultivars, ‘Florida127’, ‘Florida Brilliance’, and ‘FL 16.30–128’. Plants were subjected to four different intermittent irrigation programs during establishment: 10/0 (continuous irrigation), 10/10, 10/15, and 10/20 min (on/off) from 0800 to 1800 HR for 12 days after transplanting. The impact of intermittent irrigation on marketable yield was cultivar- and season-dependent. 'Florida Brilliance' exhibited a 27 % yield increase in Season 1 but no significant difference in Season 2. By contrast, the other two cultivars exhibited no significant yield response in either season. In ‘Florida Brilliance’, marketable yield was strongly correlated with early canopy growth, suggesting that the yield increase was due partly to accelerated canopy establishment. This surprising result could be explained by the role of stress-induced leaf senescence in enhancing acclimation to adverse environmental conditions. It is speculated that increased heat stress from intermittent irrigation promotes senescence of initial leaves, facilitating nutrient translocation to the crown and subsequently accelerating the formation of new leaves and roots. Our results demonstrate that, without significant yield loss, intermittent sprinkler irrigation can reduce water use by 50–67 % during the establishment of strawberry bare-root transplants, accounting for 322–429 mm of water saving (3.2–4.3 million liters per hectare). Importantly, this water-conservation practice is easy to implement and does not negatively impact fruit quality.

Tiago Fávero de Oliveira, Breno Apolinário da Silva

O objetivo deste estudo é analisar como a mudança tecnológica altera processos produtivos e educativos. O texto aponta que, apesar do apelo de modernização e inovação, a difusão de tecnologias de inteligência artificial altera a relação entre linguagem e pensamento, produzindo uma educação tecnobancária cujos efeitos geram submissão, dominação, exploração e universalização de um pensamento único. O artigo parte das análises de Marx sobre a maquinaria e se desenvolve apontando alterações, contradições e desafios sobre o tema. Ao final, são apresentados caminhos para o enfrentamento da questão no sentido de gerar uma educação comprometida com os interesses de emancipação da classe dominada. Palavras-chave: Educação tecnobancária; Inteligência Artificial; Educação.

Ondřej Procházka, Filip Novák, Tomáš Báča et al.

This paper proposes a novel trajectory generation method based on Model Predictive Control (MPC) for agile landing of an Unmanned Aerial Vehicle (UAV) onto an Unmanned Surface Vehicle (USV)'s deck in harsh conditions. The trajectory generation exploits the state predictions of the USV to create periodically updated trajectories for a multirotor UAV to precisely land on the deck of a moving USV even in cases where the deck's inclination is continuously changing. We use an MPC-based scheme to create trajectories that consider both the UAV dynamics and the predicted states of the USV up to the first derivative of position and orientation. Compared to existing approaches, our method dynamically modifies the penalization matrices to precisely follow the corresponding states with respect to the flight phase. Especially during the landing maneuver, the UAV synchronizes attitude with the USV's, allowing for fast landing on a tilted deck. Simulations show the method's reliability in various sea conditions up to Rough sea (wave height 4 m), outperforming state-of-the-art methods in landing speed and accuracy, with twice the precision on average. Finally, real-world experiments validate the simulation results, demonstrating robust landings on a moving USV, while all computations are performed in real-time onboard the UAV.

P. Srivastava, Dawei Han, M. Rico‐Ramirez et al.

Diana Zavadska

A study has been conducted, the actualisation of which is aimed at solving problems arising in the process of financial support for the implementation of the innovative model of economic development of Ukraine and the participation of banks and other participants in the innovation process. The purpose of the article is to develop a methodological basis for the formation of a system of financing innovative economic development. Methodology. The information base of the study is the official statistical sources and the results of scientific works of leading foreign and domestic scientists. The following methods were used: system methodological approach, synergetic, analytical and synthetic approach; comparison and systematisation; observation; graphic method; logical generalisation. Results. The study highlights the general methodological provisions (purpose, objectives, functions, principles and object), which became the basis for the formation of the system of investor financing of innovative economic development. Value/оriginality. For the first time, the components of the system of financing the innovative development of the economy are specified, i.e., the levels, subjects, objects, purposes and instruments of influence. Macro-, meso- and micro-economic levels are identified, which are considered as a whole and are interrelated. Each of the economic entities contributes to the financing of innovative economic development within the framework of its objectives and instruments of influence. Practical implications. The application of the proposed system of financing the innovative development of the economy will ensure a synergetic effect, the implementation of the strategic goals of innovative development, the realisation of the economic interests of the state and the participants in the innovation process.

Sorin Burlacu, Ana Maria Calin, Elena Crizantema Vâlcu et al.

This research paper aims to investigate the role of public administration in promoting sustainable development through a case study of global nutrition interventions and population growth. The study employs a case study approach to gain a comprehensive understanding of the challenges and opportunities presented by these issues, and to explore how public administration can effectively address them. The purpose of the research is to generate new insights and hypotheses that can inform theory and practice, as well as to provide practical recommendations for policymakers and practitioners. The methodology of the study involves an in-depth investigation of four different countries, each selected based on their distinct characteristics and challenges related to global nutrition interventions and population growth. Secondary sources of data are used to develop the case study, including reports, policy documents, and academic literature. The research objectives are to identify the key drivers and barriers to promoting sustainable development in each country, to evaluate the effectiveness of current public administration strategies, and to propose practical recommendations for enhancing policy and practice. The main findings of the study demonstrate the critical importance of effective public administration in promoting sustainable development, particularly in the context of global nutrition interventions and population growth. The case study highlights the need for coordinated and integrated policy approaches that engage a range of stakeholders, including government, civil society, and private sector actors. The study also highlights the importance of context-specific approaches that consider the unique characteristics and challenges of each country. The degree of novelty and originality of this research lies in its holistic and contextualized approach to exploring the role of public administration in promoting sustainable development. By using a case study approach, this research generates new insights and recommendations that can inform policy and practice in a practical and actionable way. The practical implications of this research are significant, as it provides a roadmap for policymakers and practitioners to effectively address the complex and multifaceted challenges posed by global nutrition interventions and population growth.

Manasvi Lingam, Amedeo Balbi, Swadesh M. Mahajan

Current research indicates that (sub)surface ocean worlds essentially devoid of subaerial landmasses (e.g., continents) are common in the Milky Way, and that these worlds could host habitable conditions, thence raising the possibility that life and technological intelligence (TI) may arise in such aquatic settings. It is known, however, that TI on Earth (i.e., humans) arose on land. Motivated by these considerations, we present a Bayesian framework to assess the prospects for the emergence of TIs in land- and ocean-based habitats (LBHs and OBHs). If all factors are equally conducive for TIs to arise in LBHs and OBHs, we demonstrate that the evolution of TIs in LBHs (which includes humans) might have very low odds of roughly $1$-in-$10^3$ to $1$-in-$10^4$, thus outwardly contradicting the Copernican Principle. Hence, we elucidate three avenues whereby the Copernican Principle can be preserved: (i) the emergence rate of TIs is much lower in OBHs, (ii) the habitability interval for TIs is much shorter in OBHs, and (iii) only a small fraction of worlds with OBHs comprise appropriate conditions for effectuating TIs. We also briefly discuss methods for empirically falsifying our predictions, and comment on the feasibility of supporting TIs in aerial environments.