Plant-Climate Interaction Analysis

Information and communication technology in agriculture
By 2050, the world's population is projected to grow to more than 9 billion people, many of whom will live in developing countries that are now facing food crises. Currently, about 1 billion people in the world are "undernourished" and do not have enough to eat. In the next 40 years, the world will have to produce 70 percent more food than it does today to keep everyone fed. We are now facing a serious challenge as the effects of climate change are expected to bring more prolonged and frequent droughts, more floods, and more destructive weather. This will threaten food security and severely curtail agricultural production.

Climate Impacts on Production

Impacts on plant diversity
Smart farming for sustainable agriculture
Plant diversity is an important component of biodiversity and a fundamental characteristic of living systems. Climate change constrains plant growth, distribution, and reproduction, driving changes in plant diversity and seriously threatening biodiversity. Climate change causes habitat degradation or loss, accelerated species extinction, shifts in species ranges, changes in suitable habitats, changes in biological phenology and species reproduction, fluctuations in community productivity, and changes in interspecific relationships. Plant diversity is also effective in mitigating the effects of climate change. The higher the plant diversity, the lower the impact of climate change on it. Therefore, understanding the interactions between climate change and plant diversity is of great theoretical and practical importance for biodiversity conservation and ecosystem health maintenance. Therefore, understanding the interaction between climate change and plant diversity is of great theoretical and practical importance for biodiversity conservation and ecosystem health maintenance.
  • Impacts on species diversity
  • Impact on genetic diversity
  • Influence on functional diversity
Impacts on plant phenology To adapt to the rhythmical changes of climate conditions, plants form the corresponding rhythm of plant development. It is of great theoretical and practical significance to grasp the law of weather changes to forecast the agricultural time, monitor and protect the ecological environment, and predict and identify the trend of climate changes.
  • Species and variety types, physiological control
  • Temperature, light, water, growth regulators, etc.

Our Solution

Model simulations of plant response to climate change Plant-climate interactions and relationships are hot issues explored in related fields such as botany, ecology, and geography. Classification
  • Biogeographic Related Models
  • Ecological Response Surface Models
  • Site Models
  • Plant Physiological Models
  • Statistical Models
Multidimensionality
  • The spatial scales of the models range from as small as 0.1 ha to the entire Earth system (biosphere models).
  • The environmental parameters of the models can be as small as temperature and as large as climate, soil, topography, and disturbance.
  • The level of the simulated objects ranges from individuals, populations, communities, vegetation to the whole biosphere; the characteristics of the simulated objects include physiological processes such as growth and death, changes in biomass and NPP, structure, function and dynamics of ecosystems, changes in distribution areas and distribution boundaries, etc.
Focus
  • Plant growth status and biomass
  • Population composition and dynamics
  • Community structure, function, and spatial configuration
  • Changes in NPP and vegetation distribution range and boundaries
Simulation of climate change impacts on plant distribution Species distribution models (SDMs) based on ecological niche theory combined with GIS technology are used to predict the potential distribution of species. Classification
  • Ecological niche factor analysis (ENFA)
  • Maximum entropy (MaxEnt)
  • Generalized linear model (GLM)
  • Genetic algorithm for rule-set prediction (GARP)
  • Bioclimate analysis and prediction system (Bioclim)
  • Domain model (Domain)
Steps
  • Optimal model and model accuracy evaluation
  • Potential distribution areas of target plants
  • Impact of climate change on the distribution pattern of target plants
  • Main environmental factors limiting the distribution of target plants
  • Threshold values of major climate factors affecting the potential distribution of target plants
  • Prediction of the potential habitat of target plants
Plant climate productivity model Climate change is important for plant growth, agricultural development, and the ecology of a region. Climate change can affect the stability of agricultural production, so meteorological yield models or climate productivity models are developed to analyze the relationship between climate fluctuations and crop yields or climate productivity.
  • Miami model
  • Montreal model
  • Lieth method (Thornthwaite Memoriae model)
Steps
  • Interannual variation in mean annual temperature
  • Interannual variability of annual precipitation
  • Interannual variation of annual mean relative humidity
  • Interannual variation of wind speed
  • Interannual variation in plant climate productivity
  • Analysis of the influence of climatic factors on plant climatic productivity

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