910 results on '"Borrelli P."'
Search Results
2. Safety, Tolerability, and Short-Term Efficacy of Low-Level Light Therapy for Dry Age-Related Macular Degeneration.
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Borrelli, Enrico, Coco, Giulia, Pellegrini, Marco, Mura, Marco, Ciarmatori, Nicolò, Scorcia, Vincenzo, Carnevali, Adriano, Lucisano, Andrea, Borselli, Massimiliano, Rossi, Costanza, Reibaldi, Michele, Ricardi, Federico, Vagge, Aldo, Nicolò, Massimo, Forte, Paolo, Cartabellotta, Antonio, Hasanreisoğlu, Murat, Kesim, Cem, Demirel, Sibel, and Yanık, Özge
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- 2024
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3. Comparative Study on Anti-VEGF in Wet Age-Related Macular Degeneration in the Setting Based on Lean Methodology from the Bari Intravitreal Injection Registry (BIVIR).
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Grassi, Maria Oliva, Viggiano, Pasquale, Borrelli, Enrico, Boscia, Giacomo, Molfetta, Teresa, Malerba, Maria Giovanna, D'Addario, Maria, Giancipoli, Ermete, Alessio, Giovanni, and Boscia, Francesco
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- 2024
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4. Choriocapillaris Reperfusion in Resolved Chronic Central Serous Chorioretinopathy Treated with Eplerenone: Long-Term Effects on the Fellow Eye.
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Viggiano, Pasquale, Boscia, Giacomo, Borrelli, Enrico, Toto, Lisa, Grassi, Maria Oliva, Evangelista, Federica, Giancipoli, Ermete, Alessio, Giovanni, and Boscia, Francesco
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- 2023
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5. In Situ Alloying through Laser-Powder Bed Fusion of a 60%Inconel718-40%Cu Powders Mixture.
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Hassanin, A. El, Silvestri, A. T., Napolitano, F., Caraviello, A., Borrelli, D., and Astarita, A.
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- 2023
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6. Analysis of human exposure to landslides with a GIS multiscale approach.
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Modugno, S., Johnson, S. C. M., Borrelli, P., Alam, E., Bezak, N., and Balzter, H.
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LANDSLIDE hazard analysis ,LANDSLIDES ,RECEIVER operating characteristic curves ,NATURAL disasters ,LAND cover ,URBAN planning ,LOGISTIC regression analysis - Abstract
Decision-making plays a key role in reducing landslide risk and preventing natural disasters. Land management, recovery of degraded lands, urban planning, and environmental protection in general are fundamental for mitigating landslide hazard and risk. Here, we present a GIS-based multi-scale approach to highlight where and when a country is affected by a high probability of landslide occurrence. In the first step, a landslide human exposure equation is developed considering the landslide susceptibility triggered by rain as hazard, and the population density as exposed factor. The output, from this overview analysis, is a global GIS layer expressing the number of potentially affected people by month, where the monthly rain is used to weight the landslide hazard. As following step, Logistic Regression (LR) analysis was implemented at a national and local level. The Receiver Operating Characteristic indicator is used to understand the goodness of a LR model. The LR models are defined by a dependent variable, presence–absence of landslide points, versus a set of independent environmental variables. The results demonstrate the relevance of a multi-scale approach, at national level the biophysical variables are able to detect landslide hotspot areas, while at sub-regional level geomorphological aspects, like land cover, topographic wetness, and local climatic condition have greater explanatory power. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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7. Discerning Between Macular Hemorrhages Due to Macular Neovascularization or Due to Spontaneous Bruch's Membrane Rupture in High Myopia: A Comparative Analysis Between OCTA and Fluorescein Angiography.
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Battista, Marco, Sacconi, Riccardo, Borrelli, Enrico, Crepaldi, Anna, Fantaguzzi, Federico, Costanzo, Eliana, De Geronimo, Daniele, Parravano, Mariacristina, Bandello, Francesco, and Querques, Giuseppe
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- 2022
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8. Changes in Macular Perfusion After ILUVIEN® Intravitreal Implant for Diabetic Macular Edema: An OCTA Study.
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Brambati, Maria, Borrelli, Enrico, Capone, Luigi, Querques, Lea, Sacconi, Riccardo, Battista, Marco, Bandello, Francesco, and Querques, Giuseppe
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- 2022
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9. Mapping the world's free-flowing rivers.
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Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F., Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., Ehalt Macedo, H., Filgueiras, R., Goichot, M., Higgins, J., Hogan, Z., Lip, B., McClain, M. E., Meng, J., Mulligan, M., and Nilsson, C.
- Abstract
Free-flowing rivers (FFRs) support diverse, complex and dynamic ecosystems globally, providing important societal and economic services. Infrastructure development threatens the ecosystem processes, biodiversity and services that these rivers support. Here we assess the connectivity status of 12 million kilometres of rivers globally and identify those that remain free-flowing in their entire length. Only 37 per cent of rivers longer than 1,000 kilometres remain free-flowing over their entire length and 23 per cent flow uninterrupted to the ocean. Very long FFRs are largely restricted to remote regions of the Arctic and of the Amazon and Congo basins. In densely populated areas only few very long rivers remain free-flowing, such as the Irrawaddy and Salween. Dams and reservoirs and their up- and downstream propagation of fragmentation and flow regulation are the leading contributors to the loss of river connectivity. By applying a new method to quantify riverine connectivity and map FFRs, we provide a foundation for concerted global and national strategies to maintain or restore them. A comprehensive assessment of the world's rivers and their connectivity shows that only 37 per cent of rivers longer than 1,000 kilometres remain free-flowing over their entire length. [ABSTRACT FROM AUTHOR]
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- 2019
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10. Guidelines on Optical Coherence Tomography Angiography Imaging: 2020 Focused Update.
- Author
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Borrelli, Enrico, Parravano, Mariacristina, Sacconi, Riccardo, Costanzo, Eliana, Querques, Lea, Vella, Giovanna, Bandello, Francesco, and Querques, Giuseppe
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- 2020
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11. Protect Healthcare Workers and Patients from COVID-19: The Experience of Two Tertiary Ophthalmology Care Referral Centers in Italy.
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Parravano, Mariacristina, Borrelli, Enrico, Costanzo, Eliana, Sacconi, Riccardo, Varano, Monica, and Querques, Giuseppe
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- 2020
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12. Pearls and Pitfalls of Optical Coherence Tomography Angiography Imaging: A Review.
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Borrelli, Enrico, Sadda, SriniVas R., Uji, Akihito, and Querques, Giuseppe
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- 2019
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13. Clinical Trials (Clinical Perspective).
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Mamula, Petar, Markowitz, Jonathan E., Baldassano, Robert N., Cucchiara, Salvatore, and Borrelli, Osvaldo
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- 2008
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14. I rischi in fitoterapia: l’entità del problema.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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15. Dall’eclissi alla rinascita del farmaco naturale.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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16. Conclusioni.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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17. Danni prodotti dall’associazione fitoterapico/farmaco convenzionale e fitoterapico/alimento.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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18. La sperimentazione clinica: in molti casi una opportunità, ma anche una necessità.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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19. Le reazioni avverse da fitoterapici: definizione, classificazione e loro individuazione.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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20. La segnalazione spontanea e i suoi limiti.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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21. Come limitare i rischi da fitoterapici.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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22. Introduzione.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
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- 2006
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23. Epilepsy surgery in tuberous sclerosis complex: early predictive elements and outcome.
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Teutonico, F., Mai, R., Devinsky, O., Lo Russo, G., Weiner, H. L., Borrelli, P., Balottin, U., and Veggiotti, P.
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CHILDHOOD epilepsy ,EPILEPSY ,TUBEROUS sclerosis ,PEDIATRIC neurology ,JUVENILE diseases - Abstract
The aim of the study was to evaluate the surgical treatment of epilepsy and detection of possible early surgery predictive elements in patients with tuberous sclerosis complex (TSC). Forty-two TSC patients with epilepsy were selected and divided into two main groups: definite and fruste forms. Definite forms were divided into different groups: patients with pharmacologically controlled epilepsy, patients with pharmacoresistant epilepsy excluded from surgery after an extensive presurgical assessment, and patients with a pharmacoresistant epilepsy who underwent surgery. We compared the definite TSC groups to identify elements that predict surgical candidacy. Second, we compared all operated patients to assess surgical outcome. We found several factors that could predict a surgical intervention even if identification of patients with refractory epilepsy who can benefit from surgery is an evolving process. Also, several positive factors for good surgical outcome were identified. Patients with the fruste form had excellent surgical outcome. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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24. Soil erosion susceptibility maps and raster dataset for the hydrological basins of North Africa.
- Author
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Salhi, Adil, Benabdelouahab, Sara, and Heggy, Essam
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ENVIRONMENTAL soil science ,UNIVERSAL soil loss equation ,SOIL science ,ENVIRONMENTAL sciences ,SOIL erosion ,SOIL conservation - Abstract
Soil erosion in North Africa modulates agricultural and urban developments as well as the impacts of flash floods. Existing investigations and associated datasets are mainly performed in localized urban areas, often representing a limited part of a watershed. The above compromises the implementation of mitigation measures for this vast area under accentuating extremes and continuous hydroclimatic fluctuations. To address this deficiency, we use the Revised Universal Soil Loss Equation to map surface erosion, providing the first insight into the decadal impacts of land degradation, which are largely unconstrained on North Africa's continental scale. We generate soil erosion maps for the major hydrological basins of North Africa using Google Earth Engine and multiple hydroclimatic and land use datasets, covering 5.8 million square kilometers. The generated geospatial dataset integrates land use, soil erodibility, slope, vegetation cover, and land practices. The resulting product is an expansive and publicly available Soil erosion susceptibility maps and rasters dataset (SESMAR). This dataset is a crucial step toward understanding the drivers of soil erosion in this vast, poorly characterized area as well as its potential to be used for future soil conservation campaigns for both agricultural and urban planning. We validate SESMAR using the Global Rainfall Erosivity Database (GloREDa) and the European Soil Data Centre (ESDAC) datasets as well as published peer-reviewed reports across 20 watersheds, demonstrating a robust agreement in assessing the average annual soil loss values and soil erosion classes in local areas covered by independent study teams. Our continental maps show commendable accuracy, supporting scientists, practitioners, and policymakers in their efforts for more resilient land management practices across North Africa to mitigate rising hydroclimatic extremes. [ABSTRACT FROM AUTHOR]
- Published
- 2025
- Full Text
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25. Continuing the continuous harvests of food production: from the perspective of the interrelationships among cultivated land quantity, quality, and grain yield.
- Author
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Cheng, Peng, Zhang, Yang, Liu, Ke, Kong, Xuesong, Wu, Shiman, Yan, Huafei, and Jiang, Ping
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AGRICULTURAL productivity ,GRAIN yields ,FOOD supply ,SUSTAINABILITY ,CITIES & towns - Abstract
The rapid population growth around the world has become one of the main challenges for countries to ensure adequate food supply. To address this difficulty and ensure adequate food production, sustainable land use, in particular sustainable cultivated land (CL) use, can make a great contribution. Sustainable utilization of CL encompasses several aspects such as quantity and quality, but previous studies have focused on increasing food production, while the interrelationships among cultivated land quantity, quality, and grain yield (CLQQGY) have still received less attention. Hence, based on the GlobeLand30 data during 2000–2020, this paper analyzed the changes of CLQQGY in 130 prefecture-level cities in the Yangtze River Economic Belt (YREB) in China and explored whether the current consecutive harvests is sustainable in the future to feed increasing population. The results revealed the areal loss and quality degradation of CL in most cities in the YREB, the total CL area decreased by 31.07 × 10
4 hm2 and 282.59 × 104 hm2 during 2000–2010 and 2010–2020, respectively, and the CL quality declining trend was presented in 68.46% and 69.23% cities in the YREB during 2000–2010 and 2010–2020, respectively. Even with such acreage and ecological losses, the total grain yield still increased by 3.77% and 9.53% during 2000–2010 and 2010–2020, respectively, continuing the miracle "continuous harvests" of grain yield in this region. This successive increase in food production in the context of decreasing acreage and ecological deterioration of CL depend mainly on the amount of chemical fertilizer usage, the total power of agricultural machinery and rural electricity consumption. However, due to the heavy reliance on a growth model driven by resource inputs, this type of harvest appeared to be unsustainable because of the significant negative effects brought out by overusing resources. With a view to achieving sustainable use of CL and food production, therefore, this paper proposed policies to promote the sustainable use of CL and food supply for supporting the survival of increasing population through the full implementation of administrative regulations and economic measures that focus on the balance among the quantity and quality and food production of CL in the process of agricultural production and CL management. [ABSTRACT FROM AUTHOR]- Published
- 2025
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26. Integrating Remote Sensing and GIS Techniques for Effective Wildfire Risk Mapping and Management.
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Ramesh, Janjhyam Venkata Naga, Suneel, Sajja, Dhanke, Jyoti A., Patil, R. N., Sharma, Sanjay, Aswani, Inakollu, and Kiran, Ajmeera
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- 2024
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27. GIS-based RUSLE model for estimating soil erosion and sediment yield in Rushikulya River Basin of Odisha, India.
- Author
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Samal, Padminee, Swain, Prakash Chandra, and Samantaray, Sandeep
- Abstract
For proper designing of hydraulic structures and control of river sedimentation, which has significant effects on river water quality, it is crucial to examine the sedimentation flow pattern of river networks. In this work, GIS integrated with the Revised Universal Soil Loss Equation (RUSLE) model was applied to study the sediment flow pattern of the Rushikulya River Basin, a significant river in South Odisha, India. The five RUSLE factors, slope-length steepness factor (LS factor), soil erodibility factor (K-factor), land use and land cover management component (C-factor), support factor (P-factor) and rainfall erosivity factor (R-factor), were prepared for the basin using Arc-GIS. Additionally, these five factors were processed in RUSLE model in GIS environment to predict the total soil erosion, soil delivery ratio (SDR), and sediment yield (SY) from the catchment. The total annual soil loss found varies from 0 to 0.165 million t/ha/yr, and the SDR value varies from 0 to 0.436, both of which produce the average sediment yield from the very severe zone of the order of 0–0.016 million t/ha/yr and total SY from severe zone about 18.39 million t/yr. The overall sediment yield produced from the entire catchment is nearly about 18.51 million t/yr. An experimental water sample analysis was conducted in order to check the conductivity of water in the zone of low SY and severe SY, and an EDX test was conducted for elemental characteristics analysis of sediment. This study of the GIS-based RUSLE model on the Rushikulya River system will provide insight and information to the decision-makers and water resources engineers to study the sediment flow pattern of the river and the impact of sediment erosion on water quality. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
28. Seasonal modeling of soil erodibility in the Central Black Sea Region.
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Kıcıman, Aysel, Akgöz, Reşat, Deviren Saygın, Selen, and Erpul, Günay
- Abstract
Soil, an indispensable resource for various aspects of life, demands urgent prioritization, especially in the realm of soil conservation. To prevent soil erosion, it firstly needs to be accurately identified in terms of soil loss rates. The Revised Universal Soil Loss Equation (RUSLE), widely employed model for predicting water erosion on various scales, includes a methodology for estimating the soil erodibility factor (RUSLE-K). It is typically treated to account for the cumulative impact of yearly rainfall energy flux or rainfall erosivity, expressed as RUSLE-R factor in the model, on the soil's susceptibility to erosion. Although this factor, which reflects the soil's response to erosive forces, is expressed as a single value for a year, the model also provides specific methodologies for estimating the seasonal variations of erodibility, thus enabling a more accurate evaluation of soil losses and facilitating informed decision-making and the implementation of necessary protection measures. In this study, these factors were obtained for 15-day periods throughout the year with seasonal variations in the Central Black Sea Region by using geographic information systems. Average RUSLE-R was 822 MJ mm ha
−1 h−1 y−1 , ranging between 186 and 3716 MJ mm ha−1 h−1 y−1 . The seasonal RUSLE-K was on average 0.0324 t ha h ha−1 MJ−1 mm−1 , with the lowest and highest values of 0.0120 and 0.0604 t ha h ha−1 MJ−1 mm−1 respectively. The seasonal variation of erodibility exhibited a dynamic trend over the year, with peak levels typically occurring during the spring and reaching the lowest in the fall. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
29. Jasmonic acid participating in the systemic regulation of phosphate starvation response in Brassica napus.
- Author
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Li, Yalin, Yang, Xinyu, Li, Xuewen, Wang, Chuang, Ding, Guangda, Xu, Fangsen, Wang, Sheliang, Cai, Hongmei, Hammond, John P., Shabala, Sergey, Yu, Min, and Shi, Lei
- Subjects
RAPESEED ,JASMONIC acid ,ACID phosphatase ,BOTANY ,LIFE sciences - Abstract
Aims: The aims of this work were to investigate phosphate starvation responses of Brassica napus (B. napus) under heterogeneous phosphate (Pi) supply and the regulatory role of jasmonic acid (JA) in the systemic response to Pi starvation. Methods: A split-root system with two separated compartments was employed to mimic heterogeneous Pi distribution in the soil and to examine the effect of heterogeneous Pi supply, and JA or DIECA (JA biosynthesis inhibitor) on growth, root morphology, Pi concentration, Acid phosphatase (APase) activity, nutrition uptake, JA concentration and expression of Pi starvation systemically-induced (PSSI) genes of B. napus. Results: Heterogeneous Pi supply systemically modified root morphology that increased the total root surface area (TRSA), total root volume (TRV), total root length (TRL) and total lateral root number (TLRN) of root with local Pi supply (R +) and decreased them of root with local no Pi supply (R-) when compared to root with homogeneous Pi supply (R + +) and root devoid of Pi (R–), respectively. Anthocyanin, APase activity and JA concentration in shoot and root of B. napus were systemically regulated by heterogeneous Pi supply. In addition, heterogeneous Pi supply significantly promoted nutrient uptake when compared with homogeneous no Pi supply. Root morphology of B. napus was significantly changed by exogenous addition of JA or DIECA in a split-root system. JA enhanced Pi starvation response by inducing expression of PSSI genes in shoots and roots. Conclusions: Our results suggest that JA enhances systemic Pi starvation response of B. napus by regulating root morphology, Pi homeostasis and inducing expression of PSSI genes under heterogeneous Pi supply. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
30. Analyzing a century of agricultural phosphorus surplus and its long-term key drivers in France.
- Author
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Guejjoud, H., Curie, F., and Grosbois, C.
- Abstract
The increase in agricultural production over the last decades has required an excessive use of nutrients, notably phosphorus (P). The phosphorus surplus (P-surplus) transferred to hydrosystems represents a source of potential harm to the environment, particularly in terms of water pollution (e.g. eutrophication). In this study, a soil surface budget was used to calculate P-surplus as the difference between inputs from mineral fertilizer, manure and atmospheric deposition and outputs represented by various types of harvested crops. P-surplus was quantified yearly between 1920 and 2020 for 90 geographic entities in France, called departments. National mean P-surplus calculated over the 1920–2020 period was 6 kg P per hectare of utilized agricultural area (ha UAA). At the departmental scale, the 1920–2020 average ranged from − 25 to 62 kg P ha UAA
−1 . Annual imprecisions linked to P-surplus were also quantified for each department as the difference between the 1st and 9th decile of 200 Monte Carlo simulations. The average departmental imprecision was 4 kg P ha UAA−1 year−1 . These uncertainties are mainly related to P content in crops (R2 = 0.67). Despite these imprecisions, this study assessed trends in P-surplus and determined key-drivers responsible for surplus changes. Indeed, changes in surplus were similar in all the departments for the period 1920–1974, characterized by surplus increase with a maximum in 1974 and by a surplus decline since then. This decrease was clearly related to the decline of mineral fertilizer use in most departments. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
31. Scale-dependent tradeoffs between habitat and time in explaining Alligator Gar (Atractosteus spatula) movement.
- Author
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Ellard, Johnathan K., Roberts, Hayden C., Daugherty, Daniel J., Fleming, B. Paul, Acre, Matthew R., and Perkin, Joshuah S.
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KURTOSIS ,LIFE sciences ,ENVIRONMENTAL sciences ,QUANTILE regression ,ENVIRONMENTAL management - Abstract
Ecological theory predicts that movement by riverine fishes at the population level is characterized by both stationary and mobile individuals together creating a leptokurtic distribution of movement distances. However, studies testing this theory typically ignore spatial heterogeneity in riverscapes, and the theory has not been tested using Alligator Gar (Atractosteus spatula), a species of growing interest among anglers and fisheries managers alike. We characterized movements and habitat associations of Alligator Gar in the Brazos River, Texas, at fine (every 2 h for 24 h) and coarse (every month for 16 months) spatiotemporal scales. We tested for the presence of leptokurtosis and relationships between movement distance, habitat dissimilarity, and time-at-large using multivariate and univariate statistical approaches. Dispersal by Alligator Gar revealed leptokurtosis at the coarse scale but not the fine scale. At the fine scale, mixed effects quantile regression revealed there was no relationship between habitat dissimilarity and dispersal distance, but dispersal was positively correlated with time. At the coarse scale, dispersal was positively correlated with increased habitat dissimilarity and time, but only for the most mobile individuals. Our work suggests that short-term movements by riverine Alligator Gar during warm seasons and at base flows increased with time but were unrelated to habitat, and long-term movements over an annual cycle during warm season flow pulses revealed highly mobile members of the population accessed distant and novel floodplain environments. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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32. Fitofarmacovigilanza: obiettivi.
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Capasso, Francesco, Borrelli, Francesca, Castaldo, Stefano, and Grandolini, Giuliano
- Published
- 2006
- Full Text
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33. Acromesomelic dwarfism in a child with an interesting family history.
- Author
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Borrelli, P., Fasanelli, S., and Marini, R.
- Abstract
Acromesomelic dwarfism is a rare skeletal disorder characterized by recessive autosomal transmission. A case is described in a boy 2 1/2 years old whose relatives (in a large number) showed a peculiar aspect of the upper extremities, and whose two grandparents were second cousins. Early diagnosis is important because it makes it possible to advise the parents with regard to the infant's prospects and the genetic implication. [ABSTRACT FROM AUTHOR]
- Published
- 1983
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- View/download PDF
34. Incorporating return period in the assessment of rainfall erosivity of India using high temporal resolution satellite precipitation product: Incorporating return period in the assessment of rainfall: T. Das, A. K. Sarma.
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Das, Tapasranjan and Sarma, Arup Kumar
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UNIVERSAL soil loss equation ,CUMULATIVE distribution function ,RAINFALL frequencies ,DISTRIBUTION (Probability theory) ,RAINFALL probabilities - Abstract
This study presents a novel approach that combines the standard procedure of frequency analysis with the rainfall erosivity factor (R factor) calculation method from the revised universal soil loss equation (RUSLE) handbook to estimate and map the R factor for various return periods using high spatiotemporal resolution precipitation product. The 0.1° 30-minute interval or half-hourly IMERG (Integrated Multi-satellitE Retrievals for Global precipitation measurement) precipitation data is utilized to generate the rainfall erosivity map of India for different return periods. Return level values of 2, 5, 10, 25, 50, and 100-year return periods are evaluated using the cumulative distribution function of best-fitted distribution, and a spatially distributed map of each return period is prepared. These maps will offer liberty to the stakeholders and policymakers to decide on the level of risk they are willing to take. Moreover, the high spatial resolution gridded data will minimize the probable error of interpolated maps in areas with a limited number of stations or no stations. In traditional practice, the average annual rainfall erosivity is considered for computing soil loss. However, this study has revealed that the average annual rainfall erosivity fell between return levels of 2 and 5-year return periods in around 94% of the studied area, highlighting the underestimation of rainfall erosivity. [ABSTRACT FROM AUTHOR]
- Published
- 2025
- Full Text
- View/download PDF
35. Mobility of Sediment and Phosphorus in a Small Stream During Artificial Flood Wave.
- Author
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Neumann, Martin, Jáchymová, Barbora, Koudelka, Petr, Dostál, Tomáš, Bauer, Miroslav, Krása, Josef, Laburda, Tomáš, Rosendorf, Pavel, Fiala, Daniel, Bynum, Karina, Schwartz, John S., and Zumr, David
- Published
- 2025
- Full Text
- View/download PDF
36. Application of Entropy-AHP and WASPAS methods for prioritizing the sub watersheds of Teesta River basin in terms of soil erosion susceptibility.
- Author
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Sarkar, Prasanya and Gayen, Shasanka Kumar
- Subjects
SOIL erosion ,SOIL degradation ,MORPHOMETRICS ,DRAINAGE ,ORIGINALITY ,WATERSHED management ,NATURAL disasters - Abstract
Soil erosion, primarily driven by natural and human-induced factors, is a significant contributor to soil degradation and natural disasters. Effective watershed management practices can mitigate these issues. This study aimed to create a soil erosion susceptibility map for the sub-watersheds of the Teesta River using the Weighted Aggregated Sum Product Assessment (WASPAS) model. Ten morphometric parameters were considered to assess susceptibility, including Bifurcation Ratio, Circulatory Ratio, Basin Length, Stream Frequency, Drainage Density, Basin Perimeter, Basin Width, Shape Factor, Drainage Texture, and Elongation Ratio. The relative weights of these parameters were determined using the AHP-ENTROPY method. The integrated weights were then applied in the WASPAS model to rank the sub-watersheds. Results indicate that sub-watersheds Rangit (SW5), Chel (SW14), Rangyong Chhu (SW4), Lhonak Chhu (SW1), Chakung Chhu (SW6), and Lish (SW13) are highly susceptible to soil erosion. These sub-watersheds should be prioritized for conservation efforts. The originality of this study lies in its application of the WASPAS method in the context of soil erosion, providing a more comprehensive and accurate assessment compared to traditional methods. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
37. Modelling the impact of past and future land-use changes on land cover degradation at territorial level in Eastern DR Congo.
- Author
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Nacishali Nteranya, Jean, Kiplagat, Andrew, Ucakuwun, Elias K., and Nzabandora, Chantal Kabonyi
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LAND degradation ,LAND cover ,IMAGE recognition (Computer vision) ,LAND use ,LAND management - Abstract
Land use and land cover (LULC) changes are recognized as drivers of environmental changes at the local, regional, and global levels. Detecting these changes is essential in developing land management plans and strategies. More particularly, the LULC changes constitute one of the sub-indicators used for setting the baseline for land degradation neutrality (LDN) planning and assessing the progress toward the sustainable development goal 15.3. This study aims to determine the implication of LULC dynamics on land cover degradation in Eastern DR Congo. This region has been subjected to uncontrolled LULC changes over the last three decades but the impact of these changes on land degradation has not been assessed yet at the territorial level. To fill this gap, the territory of Kalehe has been used as a case study to monitor the LULC changes during the 1987–2020 period based on the classification of Landsat images, to forecast the future LULC for the 2030–2070 period through the hybrid Markov-Support Vector Machine modeling, to determine the extent of land cover degradation associated with these changes and to assess the impact of biophysical and socio-economic factors on the occurrence of land cover degradation using the binary logistic regression model. The results reveal that the overall trends of LULC changes during the 1987–2020 period are the increasing of built-up area, shrubland, and cropland at the expense of forestland, wetland, and grassland. This situation is expected to continue in the future and contribute to the degradation of land cover within the study area. Under the current situation of LULC changes, 34.17% of the land has been subjected to potential degradation. Furthermore, under the business-as-usual scenario 28.28%, 27.28%, and 33.65% of the land will be degraded by 2030, 2050, and 2070 respectively. This land cover degradation is more likely to occur in the proximity of roads, localities, highly populated areas, mining concessions, and high-altitudinal zones. Since the current land use system is unsustainable, there is a necessity to implement sustainable land management strategies that take into account the biophysical and socio-economic specificities of this region to reverse the problem of land cover degradation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
38. Effects of tillage practices on water storage and soil conservation in red soil slope farmland in Southern China.
- Author
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Li, Jianxing, Yan, Keyu, Duan, Qingsong, Li, Jing, and Chen, Zhengfa
- Subjects
SOIL infiltration ,SOIL moisture ,FARMS ,RED soils ,SUSTAINABLE agriculture ,TILLAGE ,SOIL conservation - Abstract
Under the current conditions of global climate change, many unreasonable tillage practices exacerbate soil erosion and seasonal drought in agriculture. The red soil slope farmland makes up a significant portion of agricultural land in southern China. It is crucial to enhance the water storage and soil conservation effects (WSE) by adopting appropriate agronomic practices on the red soil slope farmland, which ensures regional agriculture's sustainable development. Therefore, this study employed a combination of experimental plot positioning observations and artificially simulated rainfall experiments to analyze the WSE of four tillage practices: Conventional tillage (CT), Downslope ridge tillage (DT), Cross-slope ridge tillage (RT), and Plastic Mulching (PM). This study proposed the optimal tillage practices based on a comprehensive evaluation of their effects. The results indicate that there is a significant interaction (p < 0.05) between tillage practices and growth stages on soil water retention and infiltration characteristics. Under the same growth stage conditions, PM can reduce soil bulk density by 0.03–14.29% (p < 0.05) and increase temperature, soil moisture content, and total porosity by 4.00–6.67%, 0.68–18.23%, and 1.30–13.47% (p < 0.05), respectively, demonstrating the best water retention capabilities among the four tillage practices. However, during the rainfall-runoff process, the surface runoff amount (SRA) generated by PM and DT accounts for 68.15% and 90.83% of the total runoff, respectively, which is detrimental to soil water infiltration during rainfall. Both practices exhibit poor resistance to soil erosion and demonstrate low water storage and soil conservation effect index (WSEI) values of 0.38 and 0.33, respectively. Secondly, RT's SRA constitutes only 9.42% of the total runoff, which is beneficial for increasing the cumulative soil water infiltration amount (CIA) during rainfall. Among the three tillage practices, namely RT, DT, and CT, RT demonstrates strong soil water retention capabilities. It can significantly reduce the kinetic energy of soil erosion, enhance soil erosion resistance, and exhibit the highest WSEI of 0.84. Furthermore, CT exhibits a moderate WSEI of 0.75. In summary, from the perspective of WSEI, RT is the tillage practice that should be prioritized for promotion in the cultivation process of red soil slope farmland. Our research results can provide a scientific basis for constructing optimal tillage mode and improving the WSE of southern China's red soil slope farmland. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
39. Multi-task Bayesian model combining FDG-PET/CT imaging and clinical data for interpretable high-grade prostate cancer prognosis.
- Author
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Larose, Maxence, Archambault, Louis, Touma, Nawar, Brodeur, Raphaël, Desroches, Félix, Raymond, Nicolas, Bédard-Tremblay, Daphnée, LeBlanc, Danahé, Rasekh, Fatemeh, Hovington, Hélène, Neveu, Bertrand, Vallières, Martin, and Pouliot, Frédéric
- Subjects
PROSTATE cancer prognosis ,BAYESIAN analysis ,LYMPH nodes ,DIAGNOSTIC imaging ,PROSTATE cancer - Abstract
We propose a fully automatic multi-task Bayesian model, named Bayesian Sequential Network (BSN), for predicting high-grade (Gleason ≥ 8) prostate cancer (PCa) prognosis using pre-prostatectomy FDG-PET/CT images and clinical data. BSN performs one classification task and five survival tasks: predicting lymph node invasion (LNI), biochemical recurrence-free survival (BCR-FS), metastasis-free survival, definitive androgen deprivation therapy-free survival, castration-resistant PCa-free survival, and PCa-specific survival (PCSS). Experiments are conducted using a dataset of 295 patients. BSN outperforms widely used nomograms on all tasks except PCSS, leveraging multi-task learning and imaging data. BSN also provides automated prostate segmentation, uncertainty quantification, personalized feature-based explanations, and introduces dynamic predictions, a novel approach that relies on short-term outcomes to refine long-term prognosis. Overall, BSN shows great promise in its ability to exploit imaging and clinicopathological data to predict poor outcome patients that need treatment intensification with loco-regional or systemic adjuvant therapy for high-risk PCa. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
40. Assessment of trace metal levels in water, sediment and fish tissue from Lake Small Abaya, Ethiopia.
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Tesfaye, Tolesa, Tesfau, Haregot, Abebe, Dereje, and Waritu, Hussein
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FURNACE atomic absorption spectroscopy ,TRACE metals ,COPPER ,AQUATIC resources ,ENVIRONMENTAL management ,NILE tilapia - Abstract
The environmental impact of trace metal contamination is a concern for Lake Small Abaya, Ethiopia, because of nearby agricultural and industrial activities. This study assessed the levels of trace metals (Pb, Zn, Cd, Cu, Fe, Mn, and Cr) in water, sediment, and fish samples, as well as the physicochemical parameters of the water. Samples were collected from five sites and analyzed via graphite furnace atomic absorption spectrometry (GFAAS). The mean concentrations in the water were Zn: 0.6971 mg/l, Fe: 0.5628 mg/l, Cu: 0.1168 mg/l, Mn: 0.2129 mg/l, Pb: 0.0057 mg/l, Cr: 0.0021 mg/l, and Cd: 0.0014 mg/l. In the sediments, the mean concentrations were as follows: Fe, 33.066 mg/kg; Zn, 18.263 mg/kg; Mn, 22.777 mg/kg; Cu, 7.5663 mg/kg; Pb, 0.0751 mg/kg; Cr, 0.0233 mg/kg; and Cd, 0.0183 mg/kg. The fish samples presented mean concentrations of Fe: 21.855 mg/kg, Zn: 12.686 mg/kg, Cu: 0.3185 mg/kg, Mn: 0.9181 mg/kg, Pb: 0.0089 mg/kg, Cd: 0.0075 mg/kg, and Cr: 0.0015 mg/kg. All the metal concentrations were generally below the World Health Organization (WHO) regulatory limits. The physicochemical parameters indicated slightly alkaline to neutral conditions, with electrical conductivity and total dissolved solids within acceptable ranges. These findings suggest that current agricultural and industrial activities do not significantly contribute to trace metal pollution. However, continued monitoring and pollution control measures are recommended to ensure the long-term health and sustainability of the lake. This study highlights the importance of effective environmental management strategies to safeguard this crucial aquatic resource. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
41. The evolution of spatial and temporal distribution of rainfall erosivity in Henan Province, central China.
- Author
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Wang, Sheng-feng, Xu, Xin-miao, and Lei, Long-wei
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RAINFALL periodicity ,AGRICULTURAL economics ,SOIL erosion ,WAVELETS (Mathematics) ,AGRICULTURAL development ,RAINFALL - Abstract
With the advancement of urbanization, there has been a significant reduction in cultivated land, accompanied by soil erosion. Concurrently, the regularity of rainfall in recent years has been erratic, adversely impacting the grain economy and agricultural development in certain regions. Henan Province, spanning the basins of the Yangtze River, the Yellow River, the Huaihe River, and the Haihe River, possesses complex hydrological conditions and serves as a pivotal agricultural zone in China. Therefore, this paper utilizes daily rainfall data collected over 54 years (1969–2022) from 112 rain measuring stations in Henan Province to calculate the rainfall erosivity using the Zhang model and the erosivity model from the first national water survey. Meanwhile, spatial analysis was performed using the Kriging interpolation method in the ArcGIS Geostatistical Wizard, resulting in detailed spatial distribution maps of rainfall and rainfall erosivity. The study also employed Wavelet and Mann–Kendall tests to analyze the abrupt changes, trends and periodicity of rainfall and rainfall erosivity within the target region. The findings indicate that the average rainfall (1969–2022) in Henan province was 718.26 mm, while the average rainfall erosivity (R) was 3213.46 MJ mm/(hm
2 h). R values are positively correlated with rainfall intensity and volume, displaying an annual upward trend. Spatially, R values increase gradually from northwest to southeast, closely aligning with topographical variations. Additionally, the analysis revealed a predominant periodic cycle of 54 years in the precipitation patterns. These results offer valuable insights for environmental and agricultural management in other regions of central China. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
42. Trends in the circular economy applied to the agricultural sector in the framework of the SDGs.
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Craparo, Giuseppe, Cano Montero, Elisa Isabel, and Santos Peñalver, Jesús Fernando
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CIRCULAR economy ,SUSTAINABILITY ,AGRICULTURAL wastes ,AGRICULTURAL economics ,SUSTAINABLE agriculture ,ORGANIC farming - Abstract
The Circular Economy is now the focus of attention in various sectors, and many international organisations, such as FAO, IFAD, UNICEF, WFP and WHO, are showing great interest in the issue (FAO, 2021). In the 2030 agenda published by the UN in 2015, specifically SDG 2 says 'End hunger, achieve food security, improve nutrition and promote sustainable agriculture'. Hence, research on the application of Circular Economy methods in agriculture has become increasingly relevant. The main objective of this study was to analyse the evolution of this line of research and identify current trends linking Circular Economy and Agriculture and identify the drivers in this area of study. A bibliometric analysis of the articles produced in the period 2005–2020 was therefore carried out. The results show, in an irrefutable manner, that this topic is increasingly gaining visibility and relevance, that coincides with the establishment of the SDGs. The analysis of the key words highlighted three main lines of research: sustainability and sustainable development, as the eco-sustainable management of agricultural processes; bioenergy, produced from waste or agricultural production; life-cycle assessment, methods for calculating the environmental and health impacts of agricultural production processes. Interest in the Circular Economy depends on the awareness on the topic shown by each country. This is also reflected in the research. The regions where studies on Circular Economy and Agriculture are mainly carried out are Europe, Asia, North and South America, while Russia, Africa, the Middle East and Oceania still suffer from a certain gap. The situation of studies limited to Circular Economy applied to organic agriculture was also briefly analysed, and it was pointed out that in recent years many researchers have turned towards this field of research. Many studies tend to show that organic farming is the only primary activity that allows environmentally sustainable production and consumption. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
43. Banking on strong rural livelihoods and the sustainable use of natural capital in post-conflict Colombia.
- Author
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Banerjee, Onil, Cicowiez, Martin, Malek, Žiga, Verburg, Peter H., Vargas, Renato, Goodwin, Sean, Bagstad, Kenneth J., and Murillo, Josué Ávila
- Subjects
PAYMENTS for ecosystem services ,SUSTAINABLE development ,LAND use ,SILVOPASTORAL systems ,NET present value - Abstract
In post-conflict Colombia, the government has prioritized resettlement of displaced people through development of strong rural livelihoods and the sustainable use of natural capital. In this paper, we considered government proposals for expanding payment for ecosystem services (PES) and sustainable silvopastoral systems, and private-sector investment in habitat banking. We coupled the Integrated Economic-Environmental Model (IEEM) with spatially explicit land use and land cover change and ecosystem services models to assess the potential impacts of these programs through the lens of wealth and sustainable economic development. This innovative workflow integrates dynamic endogenous feedbacks between natural capital, ecosystem services and the economic system, and can be applied to other country contexts. Results show that PES and habitat banking programs are strong investment propositions (Net Present Value of US$4.4 and $4.9 billion, respectively), but only when moving beyond conventional economic analysis to include non-market ecosystem services. Where a portfolio investment approach is taken and PES is implemented with sustainable silvopastoral systems, investment returns would reach US$7.1 billion. This paper provides a detailed evaluation of the benefits of investing in rural livelihoods and enhancing Colombia's natural capital base, with empirical evidence to inform the spatial targeting of policies to maximize economic, environmental and social outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
44. Strategies to improve field establishment of cover crops. A review.
- Author
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Feng, Ximei, Alletto, Lionel, Cong, Wen-Feng, Labreuche, Jérôme, and Lamichhane, Jay Ram
- Subjects
ARABLE land ,DECISION support systems ,CROP diversification ,BIOMASS production ,CROPPING systems ,COVER crops - Abstract
Cover cropping consists in sowing non-cash crops to improve regulating and supporting services without seeking provisioning services. Cover cropping has the potential for spatio-temporal diversification of cropping systems to help address food security while also improving environmental sustainability. However, cover crops are still poorly adopted by farmers worldwide. One of the key reasons behind this poor adoption is the difficulties in ensuring cover crop establishment that is further exacerbated by the current knowledge gaps. On the other hand, no study has yet summarized key published and unpublished information on cover crop emergence and field establishment that may help fill these knowledge gaps. In light of this, for the first time, we comprehensively review the literature to summarize and quantify information related to cover crop emergence and propose strategies for improving their field establishment. The major findings are as follows. (1) Detailed statistics on the share of arable land sown to cover crops are lacking, but the available information suggests that this share is increasing over the years ranging from 4% in the USA to 9% in the EU. (2) Four key factors—regulations and public policy incentives, economic factors, knowledge factors, and environmental factors—influence the adoption or non-adoption of cover crops by farmers. (3) Poor emergence and field establishment, due to unfavorable environmental conditions, is one of the most important obstacles to cover crop adoption across temperate regions worldwide. (4) Five forms of cover crop sowing are practiced by farmers that can be grouped into two major sowing strategies—sowing before and after harvesting cash crops—each of them presenting several strengths and limits. (5) A wide range of sowing equipment is available for farmers but their choice depends on several factors including work output and costs. Finally, we emphasize the role of a decision support system and modeling, for an optimal cover crop sowing and field establishment, which are key for enhanced quantity of biomass production and ecosystem service provisioning. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
45. Mapping decadal land cover dynamics in Sicily’s coastal regions.
- Author
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Scala, Pietro, Toimil, Alexandra, Álvarez-Cuesta, Moisés, Manno, Giorgio, and Ciraolo, Giuseppe
- Abstract
Coastal zones are dynamic interfaces shaped by the interplay of Land Cover (LC) and Land Use (LU), influenced by both natural processes and anthropogenic activities. Grasping the historical shifts in land is essential for safeguarding coastal benefits such as defense mechanisms, biodiversity conservation, and recreational spaces, alongside enhancing their management. LC and LU products offer a valuable option for monitoring urban development, vegetation coverage, and dry-beach areas. Herein, we present the first study of the spatiotemporal evolution of LC specifically tailored for coastal zones, using the coast of Sicily as an illustration. We used classified satellite imagery from Landsat and Sentinel missions as input for a semantic segmentation model based on deep neural networks. We trained the model with an extensive dataset of coastal images. Our classification and analysis of coastal LC dynamics from 1988 to 2022 provide insights at a high spatiotemporal resolution. We identified key factors driving urban transformation, underscoring the impact of urban expansion on vegetated areas, and explored its correlation with economic and demographic growth. This study includes a multiscale analysis of coastal changes, encompassing long-term trends and seasonal fluctuations across Sicilian beaches. Our findings can contribute to preserve coastal areas by informing policymaking aimed at sustainable management. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
46. Sediment load assessments under climate change scenarios and a lack of integration between climatologists and environmental modelers.
- Author
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Szalińska, Ewa, Orlińska-Woźniak, Paulina, Wilk, Paweł, Jakusik, Ewa, Skalák, Petr, Wypych, Agnieszka, and Arnold, Jeff
- Abstract
Increasing precipitation accelerates soil erosion and boosts sediment loads, especially in mountain catchments. Therefore, there is significant pressure to deliver plausible assessments of these phenomena on a local scale under future climate change scenarios. Such assessments are primarily drawn from a combination of climate change projections and environmental model simulations, usually performed by climatologists and environmental modelers independently. Our example shows that without communication from both groups the final results are ambiguous. Here, we estimate sediment loads delivered from a Carpathian catchment to a reservoir to illustrate how the choice of meteorological data, reference period, and model ensemble can affect final results. Differences in future loads could reach up to even 6000 tons of sediment per year. We suggest there must be a better integration between climatologists and environmental modelers, focusing on introducing multi-model ensembles targeting specific impacts to facilitate an informed choice on climate information. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
47. Fire enhances changes in phosphorus (P) dynamics determining potential post-fire soil recovery in Mediterranean woodlands.
- Author
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Souza-Alonso, P., Prats, S. A., Merino, A., Guiomar, N., Guijarro, M., and Madrigal, J.
- Abstract
Soil phosphorus (P), which is essential for ecosystem functioning, undergoes notable changes after fire. However, the extent to which fire characteristics affect P dynamics remains largely unknown. This study investigated the impact of type of fire (prescribed burning and natural wildfires) of different levels of severity on P dynamics in Mediterranean soils. Soil P concentrations in the organic layers were strongly affected by fire severity but not fire type. Low severity fire did not have any observable effect, while moderate fire increased soil P levels by 62% and high severity decreased soil P concentration by 19%. After one year, the soil P concentration remained unchanged in the low severity fires, while rather complex recovery was observed after moderate and high severity fires. In the mineral layers, P concentration was reduced (by 25%) immediately after the fires and maintained for one year (at 42%).
31 P-NMR spectroscopy revealed almost complete post-fire mineralization of organic P forms (mono- and diesters), large increases in inorganic orthophosphate and a decrease in the organic:inorganic P ratio (Po :Pi ). After one year, di-esters and orthophosphate recovered to pre-fire levels at all sites, except those where parent material composition (high pH and Fe concentration) had an enduring effect on orthophosphate retention, and thus, on the total soil P. We showed that fire severity and soil pH (and hence, soil mineralogy) played an essential role in soil P dynamics. These findings are important for reliable assessment of the effects of fire on soil P conservation and for improving the understanding the impact of prescribed burning. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
48. Application of fallout radionuclide—137Cs for estimating soil erosion in steep hillslopes with diverse land use of North-western Indian Himalayas.
- Author
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Kumar, Suresh, David Raj, Anu, Mariappan, Sankar, Kalambukattu, Justin George, Sooryamol, K. R., Singh, R. P., Madhu, M., and Karunakara, N.
- Subjects
SOIL conservation ,ECOLOGICAL integrity ,LAND cover ,CARBON in soils ,ECOSYSTEM services ,EROSION ,SOIL erosion - Abstract
Hilly and mountainous regions are significantly impacted by soil erosion, primarily due to rainfall-runoff processes occurring on the hillslope scale. Assessing soil erosion is crucial for quantifying the loss of soil carbon and nutrients, which diminishes the potential of soil ecosystem services and is critical for mitigating the impacts of climate change on food security. However, the Himalayan landscape poses serious challenges for assessing soil erosion due to its steep and rugged terrain, which hinders the use of conventional and modelling methods. The fallout radionuclide—
137 Cs has been extensively utilized as an environmental marker for investigating soil redistribution processes. Despite its potential, there is a notable lack of137 Cs-based soil erosion studies in the Himalayan region. In this context, we assessed the applicability of the fallout radionuclide—137 Cs method in quantifying soil erosion rates and identifying erosion hotspots on two hillslopes of the Higher Himalayas. On the hillslope scale, we observed that soil erosion rates vary based on slope gradient and land use/land cover. Forested areas exhibited the lowest soil erosion rates compared to cultivated areas, while flat hillslope positions experienced lower erosion rates than steeper positions. The average net erosion rate for the Harsil hillslope varied among different hillslope positions, ranging from – 2.9 to – 15.6 t ha−1 yr−1 . Similarly, in the Gangnani hillslope, the net erosion rates varied across different positions, ranging from – 5.6 to – 39 t ha−1 yr−1 . Our findings confirm that the middle and lower hillslope positions are the most critical source areas with higher soil erosion rates, while hillslope positions with forest cover demonstrate the lowest erosion rates, identified as helpful in controlling soil erosion. The study has demonstrated the applicability of FRN as a soil erosion measurement method in the complex, rugged, and steep terrain of the Himalayas, highlighting the need for targeted conservation efforts to mitigate soil erosion and preserve ecosystem integrity. [ABSTRACT FROM AUTHOR]- Published
- 2024
- Full Text
- View/download PDF
49. Spatial analysis and extent of soil erosion risk using the RUSLE approach in the Swat River Basin, Eastern Hindukush.
- Author
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Khan, Abdullah and Rahman, Atta-ur
- Abstract
Soil erosion is a severe issue posing a number of adverse effects on the environment. It is a prominent hazard damaging the fertile agricultural land. Therefore, in this study, a spatio-temporal assessment of soil erosion was carried out in the Swat River Basin, Pakistan by employing the Revised Universal Soil Loss Equation (RUSLE). The parameters of the RUSLE model are rainfall erosivity, soil erodibility, slope length and steepness, land management and support practice. These factors were developed from monthly mean rainfall data obtained from the Regional Metrology Department Peshawar, FAO soil database, land use data prepared from Landsat-5 and 8 satellite imageries, topographic data obtained from the ALOS PALSAR Digital Elevation Model (DEM). The analysis discovered that 13% of the study area experienced severe erosion. Results of the spatial distribution and vulnerability to erosion within the Swat River Basin have been categorized into different zones such as very low (59.7%), low (19.5%), moderate (5.37%), high (6.86%), and very high (5.96%). These results accentuate the necessity for mitigation measures in the study area to mitigate the loss of valuable topsoil. This research possesses the potential to offer valuable insights into decision-making and planning to reduce the risk of erosion. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
50. Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study.
- Author
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Brunelli, Benedetta, De Giglio, Michaela, Magnani, Elisa, and Dubbini, Marco
- Subjects
MICROWAVE remote sensing ,SYNTHETIC aperture radar ,OPTICAL radar ,SOIL moisture ,CLIMATE change - Abstract
Surface soil moisture is a key hydrologic state variable that greatly influences the global environment and human society. Its significant decrease in the Mediterranean region, registered since the 1950s, and expected to continue in the next century, threatens soil health and crops. Microwave remote sensing techniques are becoming a key tool for the implementation of climate-smart agriculture, as a means for surface soil moisture retrieval that exploits the correlation between liquid water and the dielectric properties of soil. In this study, a workflow in Google Earth Engine was developed to estimate surface soil moisture in the agricultural fields of the Marche region (Italy) through Synthetic Aperture Radar data. Firstly, agricultural areas were extracted with both Sentinel-2 optical and Sentinel-1 radar satellites, investigating the use of Dual-Polarimetric Entropy-Alpha decomposition's bands to improve the accuracy of radar data classification. The results show that Entropy and Alpha bands improve the kappa index obtained from the radar data only by 4% (K = 0.818), exceeding optical accuracy in urban and water areas. However, they still did not allow to reach the overall optical accuracy (K = 0.927). The best classification results are reached with the total dataset (K = 0.949). Subsequently, Water Cloud and Tu Wien models were implemented on the crop areas using calibration parameters derived from literature, to test if an acceptable accuracy is reached without in situ observation. While the first model's accuracy was inadequate (RMSD = 12.3), the extraction of surface soil moisture using Tu Wien change detection method was found to have acceptable accuracy (RMSD = 9.4). [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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