Regional Climate Model Construction

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Regional climate change may lead to degradation of animal habitats or loss of species ranges, changes in suitable habitats, biological phenology, and species reproduction. It also leads to fluctuations in community productivity, and interspecific relationships changes, thereby accelerating species extinction.

In addition, to adapt to the rhythmic changes in climatic conditions, plants have developed corresponding developmental rhythms, and regional climate changes may limit plant growth, development, and distribution, affecting the regional plant diversity. Therefore, the establishment of climate change models has important theoretical and practical significance for predicting agricultural time, monitoring and protecting the ecological environment, and predicting and identifying climate change trends.

Lifeasible provides local area climate modeling services for a wide range of ecological and agricultural researchers, which can be applied to biodiversity conservation and ecosystem health maintenance, etc.

Model construction and methods

Model simulations of plant response to climate change
Descriptions	Plant-climate interactions and relationships are hot issues explored in related fields such as botany, ecology, and geography.
Types	Biogeographic Related Models Ecological Response Surface Models Site Models Plant physiological models Statistical Models
Features	The spatial scales of the models range from as small as 0.1 Hectare (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, and vegetation to the whole biosphere. The characteristics of the simulated objects include physiological processes such as growth and death, changes in biomass, structure, function, and dynamics of ecosystems, changes in distribution areas and distribution boundaries, etc.
Simulation of climate change impacts on plant distribution
Descriptions	Species distribution models (SDMs) based on ecological niche theory combined with GIS (geographic information system) technology are used to predict the potential distribution of species.
Types	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
Descriptions	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.
Types	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

Lifeasible focuses on the important impacts of local climate change on plant and animal diversity and survival and is committed to providing the most professional climate model building services to researchers in the field of ecology worldwide. Please contact our staff to submit your modeling needs.

For research or industrial raw materials, not for personal medical use!

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