Search Results - "Ocean"

Reacciones de 15 variedades de clavel miniatura (Dianthus caryophylus) a M. incognita, raza 2. by Navarro Alzate, R.

“…El grado de infección se calificó utilizando la escala de índice de nudosidad que va de 0 (raíz sana), a 5 (100 por ciento de nudosidades en la raíz). Las variedades Ocean spray, Cotton candy, corona y corona orange, mostraron una reacción de inmunidad al ataque de M. incognita. …”
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Isotope-informed water sources and recharge mechanisms in a tropical karst environment of the Talgua River Basin, Honduras by Cardona-Hernández, Jorge, Esquivel-Hernández, Germain, Rebelo Monteiro, Lucilena, Sánchez-Murillo, Ricardo, Cotrim, Marycel E.B, Sánchez-Gutiérrez, Rolando, Birkel, Christian, Peña-Paz, Tania, Benegas-Negri, Laura

“…HYSPLIT air mass trajectory and cluster analysis using δ18O and deuterium excess (d-excess) revealed that moisture sources in the Talgua River basin originated mainly from the Caribbean Sea (89 %) with minimal contributions from the Pacific Ocean and the Gulf of Mexico (11 %). Recharge is mainly driven by heavy, isotopically depleted rainfall during the May–November (wet season), as indicated by the rainfall to groundwater (P/GW) 18O/16O ratios. d-excess and the line-conditioned excess (LC-excess) values indicate substantial meteoric inputs during the wet season, reflecting a recycled-moisture signal that contributes to recharge, with only minor evapoconcentration effects. …”
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Impact of shamba shape up and iShamba on livestock and climate resilience by Vyas, Shalika, Burra, Dharani Dhar, Calvin, Kiprop, Kirwa, Lilian, Rottmann, Sophie, Ramirez Villegas, Julian

“…Climate literacy results showed that 55% of farmers understood weather advisories well, and 60% made adaptive changes in response, demonstrating the potential for these advisories to enhance climate resilience. Insights from the OCEAN personality model reveals diverse adoption behaviors among farmers. …”
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Ten New Insights in Climate Science 2024 by Schaeffer, Roberto, Schipper, Lisa, Ospina, Daniel, Mirazo, Paula, Alencar, Ane, Anvari, Mehrnaz, Artaxo, Paulo, Biresselioglu, Mehmet Efe, Biome, Tanja, Boeckmann, Melanie, Brink, Ebba, Broadgate, Wendy, Bustamante, Mercedes, Cai, Wenju, Canadell, Josep G., Chidichimo, Maria Paz, Ditlevsen, Peter, Eicker, Ursula, Feron, Sarah, Fikru, Mahelet G., Fuss, Sabine, Gaye, Amadou T., Gustafsson, Orjan, Harring, Niklas, He, Cheng, Hebden, Sophie, Heilemann, Adrian, Hirota, Marina, Janardhanan, Nandakumar, Juhola, Sirkku, Jung, Tae Yong, Kejun, Jiang, Kilkis, Siir, Kumarasinghe, Nilushi, Lapola, David, Lee, June-Yi, Levis, Carolina, Lusambili, Adelaide, Maasakkers, Bram, MacIntosh, Claire, Mahmood, Jemilah, Mankin, Justin S., Marchegiani, Pia, Martin, Maria, Mukherji, Aditi, Munoz-Erickson, Tischa A., Niazi, Zeenat, Nyangon, Joseph, Pandipati, Santosh, Perera, Amarasinghage T.D., Persad, Greeta, Persson, Asa, Redman, Aaron, Riipinen, Ilona, Rockstrom, Johan, Roffe, Sarah, Roy, Joyashree, Sakschewski, Boris, Samset, Bjorn H., Schlosser, Peter, Sharifi, Ayyoob, Shih, Wan-Yu, Sioen, Giles B., Sokona, Youba, Stammer, Detlef, Suk, Sunhee, Thiam, Djiby, Thompson, Vikki, Tullos, Erin, van Western, Rene M., Vargas Falla, Ana Maria, Vecellio, Daniel, Worden, John, Wu, Henry C., Xu, Chi, Yang, Yang, Zachariah, Mariam, Zhang, Zhen, Ziervogel, Gina

“…This year, we focus on: (1) Declining aerosol emissions, (2) soaring methane emissions, (3) concerning ocean dynamics, (4) diversity and resilience of Amazon forests, (5) expanding risk of “uninhabitability”, (6) climate impacts to maternal and reproductive health, (7) climate-resilient development for cities, (8) vulnerability of critical infrastructure, (9) governance of the energy transition minerals value chain, and (10) public acceptance of climate policies. …”
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Global rice market: Current outlook and future prospects by Glauber, Joseph W., Mamun, Abdullah

“…Because of the large concentration of rice production in South and Southeast Asia, crop production is vulnerable to El Niño and other climatic events like the Indian Ocean Dipole which can bring hot and dry weather and disrupt the monsoon season. …”
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A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia by Alaminie, A. A., Annys, S., Nyssen, J., Jury, M. R., Amarnath, Giriraj, Mekonnen, M. A., Tilahun, Seifu A.

“…The datasets include the European Space Agency’s Climate Change Initiative Soil Moisture (ESA-CCI SM), Soil Moisture and Ocean Salinity (SMOS), NASA’s Soil Moisture Active Passive mission (SMAP Enhanced), the European Centre for Medium-Range Weather Forecasts Fifth Generation Reanalysis (ECMWF ERA5), Climate Forecast System reanalysis (CFSRv2), NASA’s Short-term Prediction Research and Transition Center - Land Information System (SPoRT-LIS), and NASA’s Global Land Data Assimi lation System (GLDAS). …”
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Making climate finance work in agriculture by Sadler, Marc Peter, Millan Arredondo, Alberto, Swann, Stacy A., Vasileiou, Ioannis, Baedeker, Tobias, Parizat, Roy, Germer, Leah Arabella, Mikulcak, Friederike

“…Production is struggling to keep up as crop yields level off in many parts of the world, ocean health declines, and natural resources— including soils, water and biodiversity—are stretched dangerously thin. …”
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Replication Data for: 4-km gridded historical and future scenarios for sea level rise in Honduras by Navarro Racienes, Carlos Eduardo, Monserrate Rojas, Fredy Alexander

“…The baseline conditions came from “the Global Ocean - Multimission altimeter satellite gridded sea surface heights and derived variables”, distributed by the Copernicus Marine Environment Monitoring Service. …”
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En terapiträdgård bortom Atlanten by Dickson, Linnéa

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The maternal origin of indigenous domestic chicken from the Middle East, the north and the horn of Africa by Al-Jumaili, A.S., Boudali, S.F., Kebede, A., Al-Bayatti, S.A., Essa, A.A., Ahbara, A., Aljumaah, R.S., Alatiyat, R.M., Mwacharo, Joram M., Bjørnstad, G., Naqvi, A.N., Gaouar, S.B.S., Hanotte, Olivier H.

“…Haplotypes belonging to haplogroup D were present in all countries except Algeria and Libya, it is likely a legacy of the Indian Ocean maritime trading network. Haplogroup A was present in all countries and may be of commercial origin. …”
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Synergies and trade-offs between climate change adaptation options and gender equality: a review of the global literature by Roy, Joyashree, Prakash, Anjal, Some, Shreya, Singh, Chandni, Bezner Kerr, Rachel, Caretta, Martina Angela, Conde, Cecilia, Rivera Ferre, Marta, Schuster-Wallace, Corinne, Tirado-von der Pahlen, Maria Cristina, Totin, Edmond, Vij, Sumit, Baker, Emily, Dean, Graeme, Hillenbrand, Emily, Irvine, Alison, Islam, Farjana, McGlade, Katriona, Nyantakyi-Frimpong, Hanson, Ravera, Federica, Segnon, Alcade C, Solomon, Divya, Tandon, Indrakshi

“…However, in four sectors—ocean and coastal ecosystems; mountain ecosystems; poverty, livelihood, sustainable development; and industrial system transitions, we find more negative links than positive links. …”
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Greenhouse Gases from Agriculture by Zaman, M., Kleineidam, K., Bakken, L., Berendt, J., Bracken, C., Butterbach-Bahl, Klaus, Cai, Z., Chang, S.X., Clough, T., Dawar, K., Ding, W.X., Dörsch, P., Reis Martins, M. dos, Eckhardt, C., Fiedler, S., Frosch, T., Goopy, John P., Görres, C.M., Gupta, A., Henjes, S., Hofmann, M.E.G., Horn, M.A., Jahangir, M.M.R., Jansen-Willems, A., Lenhart, K., Heng, L., Lewicka-Szczebak, D., Lucic, G., Merbold, Lutz, Mohn, J., Molstad, L., Moser, G., Murphy, P., Sanz-Cobena, A., Šimek, M., Urquiaga, S., Well, R., Wrage-Mönnig, N., Zaman, S., Zhang, J., Müller, Christoph

“…Natural sources of CH 4 emission include wetlands, termite activities, and oceans. Paddy fields used for rice production, livestock production systems (enteric emission from ruminants), landfills, and the production and use of fossil fuels are the main anthropogenic sources of CH 4 . …”
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Spatiotemporal variability of soil moisture over Ethiopia and its teleconnections with remote and local drivers by Jimma, Tamirat B, Demissie, Teferi, Diro, Gulilat T, Ture, Kassahun, Terefe, Tadesse, Solomon, Dawit

“…Major global oceanic indices: Oceanic Nino Index (ONI), Indian Ocean Dipole (IOD), Pacific warm pool (PACWARMPOOL), and Pacific Decadal Oscillations (PDO) are found to be closely associated with the SM anomalies in various parts of the country. …”
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Genetic diversity of Bemisia tabaci species colonizing cassava in Central African Republic characterized by analysis of cytochrome c oxidase subunit I by Tocko-Marabena, B.K., Silla, S., Simiand, C., Zinga, I., Legg, James P., Reynaud, B., Delatte, H.

“…Phylogenetic analysis of the whitefly mtCOI sequences indicated that SSA1 (-SG1, -SG2), SSA3, MED, MEAM1 and Indian Ocean (IO) putative species occur in CAR. One specific haplotype of SSA1-SG1 (SSA1-SG1-P18F5) predominated on most cassava plants and at the majority of sites. …”
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Spatial distribution of persistent organic pollutants (POPs) in sediments contaminated by fiber material from pulp and paper industries by Dupaul, Gabriel

“…The sediment samples (n= 43) were collected on SGU’s survey vessel Ocean Surveyor in autumn 2017. The sediment samples were extracted using a Soxhlet followed by a multilayered silica gel clean-up column, prior to instrumental analysis with GC-MS/MS. …”

The NASA hydrological forecast system for food and water security applications by Arsenault, K. R., Shukla, S., Hazra, A., Getirana, A., McNally, A., Kumar, S.V., Koster, R. D., Peters-Lidard, C. D., Zaitchik, B. F., Badr, H., Jung, H. C., Narapusetty, B., Navari, M., Wang, S., Mocko, D. M., Funk, C., Harrison, L., Husak, G. J., Adoum, A., Galu, G., Magadzire, T., Roningen, J., Shaw, M., Eylander, J., Bergaoui, K., McDonnell, Rachael, Verdin, J. P.

“…NHyFAS derives its skill from two sources: (i) accurate initial conditions, as produced by an offline land modeling system through the application and/or assimilation of various satellite data (precipitation, soil moisture, and terrestrial water storage), and (ii) meteorological forcing data during the forecast period as produced by a state-of-the-art ocean–land–atmosphere forecast system. The land modeling framework used is the Land Information System (LIS), which employs a suite of land surface models, allowing multimodel ensembles and multiple data assimilation strategies to better estimate land surface conditions. …”
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Mitigating the effects of hydrologic variability in Ethiopia: an assessment of investments in agricultural and transportation infrastructure, energy and hydroclimatic forecasting by Block, Paul J.

“…The Blue nile basin also holds possibility for improvement in rain-fed agricultural pro- duction through precipitation forecasting. one-season lead predictors for forecasting of the Kiremt season precipitation are identified from the large scale ocean-atmosphere- land system. This forecast is of tremendous value, giving farmers crucial indication of potential future climatic conditions, and is a solid improvement over climatology, as currently utilized by the Ethiopian national Meteorological Institute. …”
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Genetic diversity of Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) populations and presence of the B biotype and a nonB biotype that can induce silverleaf symptoms in quash,... by Sseruwagi, P., Legg, James P., Maruthi, M., Colvin, J., Rey, M., Brown, J.

“…Ug7 was closely related (at 98–99% nt identity) to biotype Ms from the Reunion Island in the Indian Ocean. Ug4 colonised Cucurbita pepo, Cucurbita sativus, Leonotis nepetifolia and Pavonia urens, while Ug7 colonised Commelina benghalensis, Gossypium hirsutum and Phaseolus vulgaris. …”
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Genotyping-by-sequencing provides the discriminating power to investigate the subspecies of Daucus carota (Apiaceae) by Arbizu Berrocal, Carlos Irvin, Ellison, Shelby L., Senalik, Douglas, Simon, Philipp W., Spooner, David M.

“…Conclusions: Our study suggests that (1) the morphotypes identified as D. carota subspecies gummifer (as currently broadly circumscribed), all confined to areas near the Atlantic Ocean and the western Mediterranean Sea, have separate origins from sympatric members of other subspecies of D. carota, (2) D. carota subsp. maximus, on two clades with some accessions of subsp. carota, can be distinguished from each other but only with poor morphological support, (3) D. carota subsp. capillifolius, well distinguished morphologically, is an apospecies relative to North African populations of D. carota subsp. carota, (4) the eastern cultivated carrots have origins closer to wild carrots from central Asia than to western cultivated carrots, and (5) large SNP data sets are suitable for species-level phylogenetic studies in Daucus…”
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Acaulospora flava, a new arbuscular mycorrhizal fungus from Coffea arabica and Plukenetia volubilis plantations at the sources of the Amazon river in Peru by Corazon Guivin, Mike Anderson, Vallejos Tapullima, Adela, De la Sota Ricaldi, Ana María, Cerna Mendoza, Agustín, Guerrero Abad, Juan Carlos, Santos, Viviane Monique, Da Silva, Glandstone Alves, Oehl, Fritz

“…The later two fungi had so far been recorded by concomitant morphological and molecular analyses only from tropical islands, A. herrerae from Cuba in the Golf of Mexico and A. fragilissima from New Caledonia in the southwest Pacific Ocean close to Australia. In this study, the ITS region of A. herrerae was analyzed for the first time and deposited in the public databases. …”
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