相关实验视频

Updated: Jun 28, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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将基于个体的空间人口动态模型与长期监测数据相匹配

Anne-Kathleen Malchow1, Guillermo Fandos1,2, Urs G Kormann3

  • 1Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.

Ecological applications : a publication of the Ecological Society of America
|April 17, 2024
PubMed
概括

动态物种分布模型 (dSDMs) 通过纳入种群动态来提供比相关模型 (cSDMs) 更好的预测. 这项研究成功校准和验证了瑞士红的dSDM,证明了其在保护和管理方面的有效性.

关键词:
贝叶斯的推理 贝叶斯的推理进行交叉验证.扩散散散的分散.反向校准的情况是这样的.基于过程的模型模型.范围动态的范围动态.在空间上是显式的.种类分布模型 (SDM) 是一种物种分布模型.

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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

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相关概念视频

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Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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What are Populations and Communities?

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Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
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The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
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