เปรียบเทียบวิธี

	ทฤษฎีเมแทบอลิซึมเชิงนิเวศวิทยา	แบบจำลองการฉายภาพปริพันธ์
สาขาวิชา	นิเวศวิทยา	นิเวศวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2004	2000
ผู้ริเริ่ม	James Brown	Stephen Ellner and Mark Rees
ประเภท	metabolic scaling theory	size-structured population projection
แหล่งต้นตำรับ	Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004). Toward a metabolic basis of ecology. Ecology, 85(7), 1771-1789.	Easterling, M. R., Ellner, S. P., & Dixon, P. M. (2000). Size-specific sensitivity: applying a new structured population model. Ecology, 81(3), 694-708.
ชื่อเรียกอื่น	MTE, metabolic scaling, temperature-size rule, energy allocation	IPM, continuous size structure, kernel model, size-structured population
ที่เกี่ยวข้อง	4	4
สรุป	The Metabolic Theory of Ecology (MTE), developed by Brown and colleagues (2004), provides a unifying framework linking individual metabolic rate to ecological patterns across levels of organization (organisms, populations, ecosystems). MTE predicts how metabolic rate scales with body size (allometry) and temperature, and uses these scaling relationships to explain patterns in life history, population growth, community structure, and ecosystem dynamics. The theory is grounded in physics: metabolic rate is constrained by supply of resources (energy and nutrients) and demand determined by biochemical kinetics.	Integral projection models (IPMs) are a class of structured population models that use continuous traits (size, age, height) to describe population dynamics. Introduced by Easterling and colleagues (2000) and developed extensively by Ellner, Rees, and collaborators, IPMs overcome limitations of age- or stage-structured models by treating individual traits as continuous. They use integration to project populations forward in time, making them particularly suitable for organisms with continuous size distributions or flexible developmental pathways. IPMs enable estimation of population growth rate (λ), sensitivity analysis, and projection under changing environmental conditions.