Habitat heterogeneity affects the thermal ecology of an endangered lizard

The model of West, Brown & Enquist (WBE) is built on the assumption that the metabolic rate of cells is determined by the architecture of the vascular network that supplies them with oxygen and nutrients. For a fractal-like network, and assuming that evolution has minimised cardiovascular costs, the WBE model predicts that s=metabolism should scale with mass with an exponent, b, of 0.75 at infinite size, and ~ 0.8 at realistic larger sizes. Scaling exponents ~ 0.75 for standard or resting metabolic rate are observed widely, but far from universally, including in some invertebrates with cardiovascular systems very different from that assumed in the WBE model. Data for field metabolic rate in vertebrates typically exhibit b ~ 0.8, which matches the WBE prediction. Addition of a simple Boltzmann factor to capture the effects of body temperature on metabolic rate yields the central equation of the Metabolic Theory of Ecology (MTE). The MTE has become an important strand in ecology, and the WBE model is the most widely accepted physical explanation for the scaling of metabolic rate with body mass. Capturing the effect of temperature through a Boltzmann factor is a useful statistical description but too simple to qualify as a complete physical theory of thermal ecology.

Introduction

10.1093/oso/9780199551668.003.0001 ◽

2017 ◽

Author(s):

Andrew Clarke

Keyword(s):

Physical Mechanism ◽

Thermal Ecology ◽

Evolutionary Processes ◽

Physical Mechanisms ◽

The Subject

This introduces the subject, laying out the organisation of the book and emphasising the importance of both simple underlying physical mechanisms and evolutionary variability to thermal ecology. It distinguishes physical mechanism from statistical description, and the importance of evolutionary processes in comparisons across species.

Habitat heterogeneity helps to mitigate pollinator nectar sugar deficit and discontinuity in an agricultural landscape

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.146909 ◽

2021 ◽

pp. 146909

Author(s):

Jacek Jachuła ◽

Bożena Denisow ◽

Małgorzata Wrzesień

Keyword(s):

Habitat Heterogeneity ◽

Agricultural Landscape ◽

Nectar Sugar

Importance of Habitat Heterogeneity in Richness and Diversity of Moths (Lepidoptera) in Brazilian Savanna

Environmental Entomology ◽

10.1093/ee/nvv026 ◽

2015 ◽

Vol 44 (3) ◽

pp. 499-508 ◽

Cited By ~ 4

Author(s):

L. Braga ◽

I. R. Diniz

Keyword(s):

Habitat Heterogeneity ◽

Brazilian Savanna

Assessing habitat heterogeneity and vegetation outcomes of geomorphic and traditional linear-slope methods in post-mine reclamation

Journal of Environmental Management ◽

10.1016/j.jenvman.2019.109854 ◽

2020 ◽

Vol 255 ◽

pp. 109854 ◽

Cited By ~ 2

Author(s):

Kurt R. Fleisher ◽

Kristina M. Hufford

Keyword(s):

Habitat Heterogeneity ◽

Mine Reclamation ◽

Linear Slope

Nocturnal bird composition in relation to habitat heterogeneity in small scale oil palm agriculture in Malaysia

Agriculture Ecosystems & Environment ◽

10.1016/j.agee.2016.09.003 ◽

2016 ◽

Vol 233 ◽

pp. 140-146 ◽

Cited By ~ 7

Author(s):

Muhammad Syafiq Yahya ◽

Chong Leong Puan ◽

Badrul Azhar ◽

Sharifah Nur Atikah ◽

Amal Ghazali

Keyword(s):

Oil Palm ◽

Habitat Heterogeneity ◽

Small Scale ◽

Bird Composition

Habitat heterogeneity influences the response of microbial communities to severe low-flow periods in alluvial wetlands

Freshwater Biology ◽

10.1111/fwb.12278 ◽

2013 ◽

Vol 59 (3) ◽

pp. 463-476 ◽

Cited By ~ 9

Author(s):

Arnaud Foulquier ◽

Arnaud Dehedin ◽

Christophe Piscart ◽

Bernard Montuelle ◽

Pierre Marmonier

Keyword(s):

Microbial Communities ◽

Habitat Heterogeneity ◽

Low Flow