This paper is to establish a nitrogen and phosphorus nutrients cycle-based numerical model of ecological dynamics for Xiamen Bay on the basis of the existing three-dimensional barocline hydrodynamic model. The calcula...This paper is to establish a nitrogen and phosphorus nutrients cycle-based numerical model of ecological dynamics for Xiamen Bay on the basis of the existing three-dimensional barocline hydrodynamic model. The calculation results show that the estuarine district of Jiulongjiang estuary has the highest inorganic nitrogen concentration followed by the West Harbor, which demonstrates that Jiulongjiang River is the main input source of inorganic nitrogen in Xiamen Bay. The West Harbor has relatively high concentration of nutrients caused by the huge land pollution emission and its own poor water exchange capacity; while the distribution rules of phytoplankton biomass correspond with those of phosphates, demonstrating Xiamen Bay＇s phytoplankton controlled by phosphorus; the haloplankton biomass differs slightly, presenting the gradual reduction from the interior part to the exterior part of the bay.展开更多
Based on the physico-biophysical considerations, mathematical analysis and some approximate formulations generally adopted in meteorology and ecology, an ecological dynamic model of grassland is developed. The model c...Based on the physico-biophysical considerations, mathematical analysis and some approximate formulations generally adopted in meteorology and ecology, an ecological dynamic model of grassland is developed. The model consists of three interactive variables, I.e. The biomass of living grass, the biomass of wilted grass, and the soil wetness. The major biophysical processes are represented in parameterization formulas, and the model parameters can be determined inversely by using the observational climatological and ecological data. Some major parameters are adjusted by this method to fit the data (although incomplete) in the Inner Mongolia grassland, and other secondary parameters are estimated through sensitivity studies. The model results are well agreed with reality, e.g., (I) the maintenance of grassland requires a minimum amount of annual precipitation (approximately 300 mm); (ii) there is a significant relationship between the annual precipitation and the biomass of living grass; and (iii) the overgrazing will eventually result in desertification. A specific emphasis is put on the shading effect of the wilted grass accumulated on the soil surface. It effectively reduces the soil surface temperature and the evaporation, hence benefits the maintenance of grassland and the reduction of water loss in the soil.展开更多
Scientists have long sought frameworks to understand the complex systems that shape our world,from ecological dynamics to socio-technical networks.The concept of simplexity,intermittently explored for over 70 years,ha...Scientists have long sought frameworks to understand the complex systems that shape our world,from ecological dynamics to socio-technical networks.The concept of simplexity,intermittently explored for over 70 years,has now been redefined,offering a revolutionary perspective on complexity and simplicity across natural,social,and technological domains.1 This breakthrough provides insights into the interplay between simplicity and complexity,unifying disciplines and driving scientific and technological progress.In this context,information management shifts from mere storage and dissemination to dynamic strategies that shape behaviors and interactions,fostering knowledge-driven activities.展开更多
Temperature sensation is critical for shaping animal survival strategies and behavioral responses.Animals developed intricate physiological mechanisms to detect ambient temperature due to its profound impact on biolog...Temperature sensation is critical for shaping animal survival strategies and behavioral responses.Animals developed intricate physiological mechanisms to detect ambient temperature due to its profound impact on biological systems.This review consolidates existing research on the molecular mechanisms of animal temperature sensation,focusing on molecular thermosensors,neural pathways,and physiological adaptations,highlighting their evolutionary significance and role in adapting to environmental change.Here,we explore the physiological basis of temperature sensation,including molecular thermosensors and the neural pathways involved in thermoregulation.The ecological significance of temperature sensation is underscored by its influence on species distribution,seasonal behavior,migration patterns,and survival adaptation in climate change.Future research directions could involve a more in-depth exploration of the molecular basis of thermosensation,the functional diversity of thermosensors,and the integration of thermal information.Overall,this review provides a comprehensive overview of the complex interplay between temperature sensation and animal physiology,offering insights into the adaptive strategies of species in the face of environmental challenges.展开更多
文摘This paper is to establish a nitrogen and phosphorus nutrients cycle-based numerical model of ecological dynamics for Xiamen Bay on the basis of the existing three-dimensional barocline hydrodynamic model. The calculation results show that the estuarine district of Jiulongjiang estuary has the highest inorganic nitrogen concentration followed by the West Harbor, which demonstrates that Jiulongjiang River is the main input source of inorganic nitrogen in Xiamen Bay. The West Harbor has relatively high concentration of nutrients caused by the huge land pollution emission and its own poor water exchange capacity; while the distribution rules of phytoplankton biomass correspond with those of phosphates, demonstrating Xiamen Bay＇s phytoplankton controlled by phosphorus; the haloplankton biomass differs slightly, presenting the gradual reduction from the interior part to the exterior part of the bay.
文摘Based on the physico-biophysical considerations, mathematical analysis and some approximate formulations generally adopted in meteorology and ecology, an ecological dynamic model of grassland is developed. The model consists of three interactive variables, I.e. The biomass of living grass, the biomass of wilted grass, and the soil wetness. The major biophysical processes are represented in parameterization formulas, and the model parameters can be determined inversely by using the observational climatological and ecological data. Some major parameters are adjusted by this method to fit the data (although incomplete) in the Inner Mongolia grassland, and other secondary parameters are estimated through sensitivity studies. The model results are well agreed with reality, e.g., (I) the maintenance of grassland requires a minimum amount of annual precipitation (approximately 300 mm); (ii) there is a significant relationship between the annual precipitation and the biomass of living grass; and (iii) the overgrazing will eventually result in desertification. A specific emphasis is put on the shading effect of the wilted grass accumulated on the soil surface. It effectively reduces the soil surface temperature and the evaporation, hence benefits the maintenance of grassland and the reduction of water loss in the soil.
基金funding under the program Horizon Europe:Digital,Industry and Space grant agreement ID 101070658.
文摘Scientists have long sought frameworks to understand the complex systems that shape our world,from ecological dynamics to socio-technical networks.The concept of simplexity,intermittently explored for over 70 years,has now been redefined,offering a revolutionary perspective on complexity and simplicity across natural,social,and technological domains.1 This breakthrough provides insights into the interplay between simplicity and complexity,unifying disciplines and driving scientific and technological progress.In this context,information management shifts from mere storage and dissemination to dynamic strategies that shape behaviors and interactions,fostering knowledge-driven activities.
基金supported by the National Key Research and Development Program of China(2023YFF1304900)the National Natural Science Foundation of China(32370538,32522015,31930015,and 82104131)+6 种基金Chinese Academy of Sciences(SAJC202402)Yunnan Provincial Science and Technology Department(202305AH340006,202003AD150008,202301AT070286,202402AA310010)Kunming Science and Technology Bureau(2022SCP007)New Cornerstone Investigator Program from Shenzhen New Cornerstone Science Foundation(NCI202238)the Yunnan Characteristic Plant Extraction Laboratory(2025YKZY002)Guangxi Key Research and Development Program(AB24010109)Tianfu Jincheng Laboratory Foundation(TFJC2023010007)。
文摘Temperature sensation is critical for shaping animal survival strategies and behavioral responses.Animals developed intricate physiological mechanisms to detect ambient temperature due to its profound impact on biological systems.This review consolidates existing research on the molecular mechanisms of animal temperature sensation,focusing on molecular thermosensors,neural pathways,and physiological adaptations,highlighting their evolutionary significance and role in adapting to environmental change.Here,we explore the physiological basis of temperature sensation,including molecular thermosensors and the neural pathways involved in thermoregulation.The ecological significance of temperature sensation is underscored by its influence on species distribution,seasonal behavior,migration patterns,and survival adaptation in climate change.Future research directions could involve a more in-depth exploration of the molecular basis of thermosensation,the functional diversity of thermosensors,and the integration of thermal information.Overall,this review provides a comprehensive overview of the complex interplay between temperature sensation and animal physiology,offering insights into the adaptive strategies of species in the face of environmental challenges.
