LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 3 of total 3

Search options

  1. Article ; Online: Reactive nitrogen budgets in human-nature coupling system in lakeside area with insufficient data - A case study of Mwanza, Tanzania

    Xiong, Chuanhe / Xu, Liting / Mhagama, Fenant Laurent / Chen, Sophia Shuang / Zhu, Kexin / Gao, Qun / Li, Hengpeng / Su, Weizhong

    Science of the Total Environment. 2023 Jan., v. 855 p.158915-

    2023  

    Abstract: Nitrogen (N) is an essential nutrient element for life, and also a major element involved in the composition of greenhouse gases, surface water pollutants, air pollutants, etc. Quantifying and evaluating the nitrogen budget of a region is very important ... ...

    Abstract Nitrogen (N) is an essential nutrient element for life, and also a major element involved in the composition of greenhouse gases, surface water pollutants, air pollutants, etc. Quantifying and evaluating the nitrogen budget of a region is very important for effectively controlling the nitrogen discharge and scientifically managing the nitrogen cycle. In this paper, the urban Rural Complex N Cycling (URCNC) model was used to analyze the nitrogen budget of Mwanza region, a typical lakeside area with insufficient data, and the nitrogen flow process of livestock subsystem, cropland subsystem, human subsystem and landfill subsystem was clearly described and the nitrogen input sources of atmospheric subsystem and surface water subsystem were clarified. And the results demonstrated: (1) the cropland subsystem was the subsystem with the largest nitrogen flux, and the input, output and accumulation of nitrogen were 33,116 t of N, 31,925 t of N and 1191 t of N, respectively. Livestock subsystem was the second largest subsystem of nitrogen flux, and the input, output and accumulation of nitrogen were 31,013 t, 30,183 t and 830 t, respectively. The nitrogen flux of the human subsystem was also large, and the nitrogen input, output and accumulation were 17,905, 17,125 and 780 t, respectively. The nitrogen input, output and accumulation of the landfill subsystem were 3700 t, 770 t and 2930 t, respectively. (2) 8093 t of N, 6864 t of N, 3959 t of N, and 758 t of N emitted into the atmospheric subsystem from the livestock subsystem, cropland subsystem, human subsystem, and landfill subsystem, respectively. (3) The total Nr input of surface water subsystem increased from 18,545 t of N in 2010 to 20,174 t of N in 2020, with an increase of 8.78 % in the past decade. It was estimated that by 2030, the total Nr input of the surface water subsystem would reach 24,946 t of N with an increase of 23.65 % compared with 2020. The livestock subsystem was the largest source, the cropland subsystem was the second largest source and human subsystem was an important source. (4) Population growth, economic development and urbanization are the main nitrogen driving factor. (5) Technology and policy together have important contributions to the reduction of nitrogen pollution in surface water.
    Keywords air ; case studies ; cropland ; environment ; greenhouses ; humans ; issues and policy ; landfills ; livestock ; models ; nitrogen ; nitrogen cycle ; pollution ; population growth ; surface water ; urbanization ; Tanzania ; Nitrogen budget ; URCNC model ; Mwanza region
    Language English
    Dates of publication 2023-01
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.158915
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  2. Article ; Online: Reactive nitrogen budgets in human-nature coupling system in lakeside area with insufficient data - A case study of Mwanza, Tanzania.

    Xiong, Chuanhe / Xu, Liting / Mhagama, Fenant Laurent / Chen, Sophia Shuang / Zhu, Kexin / Gao, Qun / Li, Hengpeng / Su, Weizhong

    The Science of the total environment

    2022  Volume 855, Page(s) 158915

    Abstract: Nitrogen (N) is an essential nutrient element for life, and also a major element involved in the composition of greenhouse gases, surface water pollutants, air pollutants, etc. Quantifying and evaluating the nitrogen budget of a region is very important ... ...

    Abstract Nitrogen (N) is an essential nutrient element for life, and also a major element involved in the composition of greenhouse gases, surface water pollutants, air pollutants, etc. Quantifying and evaluating the nitrogen budget of a region is very important for effectively controlling the nitrogen discharge and scientifically managing the nitrogen cycle. In this paper, the urban Rural Complex N Cycling (URCNC) model was used to analyze the nitrogen budget of Mwanza region, a typical lakeside area with insufficient data, and the nitrogen flow process of livestock subsystem, cropland subsystem, human subsystem and landfill subsystem was clearly described and the nitrogen input sources of atmospheric subsystem and surface water subsystem were clarified. And the results demonstrated: (1) the cropland subsystem was the subsystem with the largest nitrogen flux, and the input, output and accumulation of nitrogen were 33,116 t of N, 31,925 t of N and 1191 t of N, respectively. Livestock subsystem was the second largest subsystem of nitrogen flux, and the input, output and accumulation of nitrogen were 31,013 t, 30,183 t and 830 t, respectively. The nitrogen flux of the human subsystem was also large, and the nitrogen input, output and accumulation were 17,905, 17,125 and 780 t, respectively. The nitrogen input, output and accumulation of the landfill subsystem were 3700 t, 770 t and 2930 t, respectively. (2) 8093 t of N, 6864 t of N, 3959 t of N, and 758 t of N emitted into the atmospheric subsystem from the livestock subsystem, cropland subsystem, human subsystem, and landfill subsystem, respectively. (3) The total Nr input of surface water subsystem increased from 18,545 t of N in 2010 to 20,174 t of N in 2020, with an increase of 8.78 % in the past decade. It was estimated that by 2030, the total Nr input of the surface water subsystem would reach 24,946 t of N with an increase of 23.65 % compared with 2020. The livestock subsystem was the largest source, the cropland subsystem was the second largest source and human subsystem was an important source. (4) Population growth, economic development and urbanization are the main nitrogen driving factor. (5) Technology and policy together have important contributions to the reduction of nitrogen pollution in surface water.
    MeSH term(s) Humans ; Animals ; Nitrogen/analysis ; Tanzania ; Air Pollutants/analysis ; Urbanization ; Livestock ; Water ; China ; Environmental Monitoring
    Chemical Substances Nitrogen (N762921K75) ; Air Pollutants ; Water (059QF0KO0R)
    Language English
    Publishing date 2022-09-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.158915
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Addressing climate change with behavioral science: A global intervention tournament in 63 countries.

    Vlasceanu, Madalina / Doell, Kimberly C / Bak-Coleman, Joseph B / Todorova, Boryana / Berkebile-Weinberg, Michael M / Grayson, Samantha J / Patel, Yash / Goldwert, Danielle / Pei, Yifei / Chakroff, Alek / Pronizius, Ekaterina / van den Broek, Karlijn L / Vlasceanu, Denisa / Constantino, Sara / Morais, Michael J / Schumann, Philipp / Rathje, Steve / Fang, Ke / Aglioti, Salvatore Maria /
    Alfano, Mark / Alvarado-Yepez, Andy J / Andersen, Angélica / Anseel, Frederik / Apps, Matthew A J / Asadli, Chillar / Awuor, Fonda Jane / Azevedo, Flavio / Basaglia, Piero / Bélanger, Jocelyn J / Berger, Sebastian / Bertin, Paul / Białek, Michał / Bialobrzeska, Olga / Blaya-Burgo, Michelle / Bleize, Daniëlle N M / Bø, Simen / Boecker, Lea / Boggio, Paulo S / Borau, Sylvie / Bos, Björn / Bouguettaya, Ayoub / Brauer, Markus / Brick, Cameron / Brik, Tymofii / Briker, Roman / Brosch, Tobias / Buchel, Ondrej / Buonauro, Daniel / Butalia, Radhika / Carvacho, Héctor / Chamberlain, Sarah A E / Chan, Hang-Yee / Chow, Dawn / Chung, Dongil / Cian, Luca / Cohen-Eick, Noa / Contreras-Huerta, Luis Sebastian / Contu, Davide / Cristea, Vladimir / Cutler, Jo / D'Ottone, Silvana / De Keersmaecker, Jonas / Delcourt, Sarah / Delouvée, Sylvain / Diel, Kathi / Douglas, Benjamin D / Drupp, Moritz A / Dubey, Shreya / Ekmanis, Jānis / Elbaek, Christian T / Elsherif, Mahmoud / Engelhard, Iris M / Escher, Yannik A / Etienne, Tom W / Farage, Laura / Farias, Ana Rita / Feuerriegel, Stefan / Findor, Andrej / Freira, Lucia / Friese, Malte / Gains, Neil Philip / Gallyamova, Albina / Geiger, Sandra J / Genschow, Oliver / Gjoneska, Biljana / Gkinopoulos, Theofilos / Goldberg, Beth / Goldenberg, Amit / Gradidge, Sarah / Grassini, Simone / Gray, Kurt / Grelle, Sonja / Griffin, Siobhán M / Grigoryan, Lusine / Grigoryan, Ani / Grigoryev, Dmitry / Gruber, June / Guilaran, Johnrev / Hadar, Britt / Hahnel, Ulf J J / Halperin, Eran / Harvey, Annelie J / Haugestad, Christian A P / Herman, Aleksandra M / Hershfield, Hal E / Himichi, Toshiyuki / Hine, Donald W / Hofmann, Wilhelm / Howe, Lauren / Huaman-Chulluncuy, Enma T / Huang, Guanxiong / Ishii, Tatsunori / Ito, Ayahito / Jia, Fanli / Jost, John T / Jovanović, Veljko / Jurgiel, Dominika / Kácha, Ondřej / Kankaanpää, Reeta / Kantorowicz, Jaroslaw / Kantorowicz-Reznichenko, Elena / Kaplan Mintz, Keren / Kaya, Ilker / Kaya, Ozgur / Khachatryan, Narine / Klas, Anna / Klein, Colin / Klöckner, Christian A / Koppel, Lina / Kosachenko, Alexandra I / Kothe, Emily J / Krebs, Ruth / Krosch, Amy R / Krouwel, Andre P M / Kyrychenko, Yara / Lagomarsino, Maria / Lamm, Claus / Lange, Florian / Lee Cunningham, Julia / Lees, Jeffrey / Leung, Tak Yan / Levy, Neil / Lockwood, Patricia L / Longoni, Chiara / López Ortega, Alberto / Loschelder, David D / Lu, Jackson G / Luo, Yu / Luomba, Joseph / Lutz, Annika E / Majer, Johann M / Markowitz, Ezra / Marsh, Abigail A / Mascarenhas, Karen Louise / Mbilingi, Bwambale / Mbungu, Winfred / McHugh, Cillian / Meijers, Marijn H C / Mercier, Hugo / Mhagama, Fenant Laurent / Michalakis, Katerina / Mikus, Nace / Milliron, Sarah / Mitkidis, Panagiotis / Monge-Rodríguez, Fredy S / Mora, Youri L / Moreau, David / Motoki, Kosuke / Moyano, Manuel / Mus, Mathilde / Navajas, Joaquin / Nguyen, Tam Luong / Nguyen, Dung Minh / Nguyen, Trieu / Niemi, Laura / Nijssen, Sari R R / Nilsonne, Gustav / Nitschke, Jonas P / Nockur, Laila / Okura, Ritah / Öner, Sezin / Özdoğru, Asil Ali / Palumbo, Helena / Panagopoulos, Costas / Panasiti, Maria Serena / Pärnamets, Philip / Paruzel-Czachura, Mariola / Pavlov, Yuri G / Payán-Gómez, César / Pearson, Adam R / Pereira da Costa, Leonor / Petrowsky, Hannes M / Pfattheicher, Stefan / Pham, Nhat Tan / Ponizovskiy, Vladimir / Pretus, Clara / Rêgo, Gabriel G / Reimann, Ritsaart / Rhoads, Shawn A / Riano-Moreno, Julian / Richter, Isabell / Röer, Jan Philipp / Rosa-Sullivan, Jahred / Ross, Robert M / Sabherwal, Anandita / Saito, Toshiki / Sarrasin, Oriane / Say, Nicolas / Schmid, Katharina / Schmitt, Michael T / Schoenegger, Philipp / Scholz, Christin / Schug, Mariah G / Schulreich, Stefan / Shreedhar, Ganga / Shuman, Eric / Sivan, Smadar / Sjåstad, Hallgeir / Soliman, Meikel / Soud, Katia / Spampatti, Tobia / Sparkman, Gregg / Spasovski, Ognen / Stanley, Samantha K / Stern, Jessica A / Strahm, Noel / Suko, Yasushi / Sul, Sunhae / Syropoulos, Stylianos / Taylor, Neil C / Tedaldi, Elisa / Tinghög, Gustav / Huynh, Luu Duc Toan / Travaglino, Giovanni Antonio / Tsakiris, Manos / Tüter, İlayda / Tyrala, Michael / Uluğ, Özden Melis / Urbanek, Arkadiusz / Valko, Danila / van der Linden, Sander / van Schie, Kevin / van Stekelenburg, Aart / Vanags, Edmunds / Västfjäll, Daniel / Vesely, Stepan / Vintr, Jáchym / Vranka, Marek / Wanguche, Patrick Otuo / Willer, Robb / Wojcik, Adrian Dominik / Xu, Rachel / Yadav, Anjali / Zawisza, Magdalena / Zhao, Xian / Zhao, Jiaying / Żuk, Dawid / Van Bavel, Jay J

    Science advances

    2024  Volume 10, Issue 6, Page(s) eadj5778

    Abstract: Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on ...

    Abstract Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions' effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior-several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people's initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.
    MeSH term(s) Humans ; Climate Change ; Intention ; Policy ; Behavioral Sciences
    Language English
    Publishing date 2024-02-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.adj5778
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top