Robust scaling in ecosystems and the meltdown of patch size distributions before extinction.
نویسندگان
چکیده
Robust critical systems are characterized by power laws which occur over a broad range of conditions. Their robust behaviour has been explained by local interactions. While such systems could be widespread in nature, their properties are not well understood. Here, we study three robust critical ecosystem models and a null model that lacks spatial interactions. In all these models, individuals aggregate in patches whose size distributions follow power laws which melt down under increasing external stress. We propose that this power-law decay associated with the connectivity of the system can be used to evaluate the level of stress exerted on the ecosystem. We identify several indicators along the transition to extinction. These indicators give us a relative measure of the distance to extinction, and have therefore potential application to conservation biology, especially for ecosystems with self-organization and critical transitions.
منابع مشابه
Mutational meltdown in laboratory yeast populations.
In small or repeatedly bottlenecked populations, mutations are expected to accumulate by genetic drift, causing fitness declines. In mutational meltdown models, such fitness declines further reduce population size, thus accelerating additional mutation accumulation and leading to extinction. Because the rate of mutation accumulation is determined partly by the mutation rate, the risk and rate o...
متن کاملQuantifying the mutational meltdown in diploid populations.
Mutational meltdown, in which demographic and genetic processes mutually reinforce one another to accelerate the extinction of small populations, has been poorly quantified despite its potential importance in conservation biology. Here we present a model-based framework to study and quantify the mutational meltdown in a finite diploid population that is evolving continuously in time and subject...
متن کاملObject Recognition based on Local Steering Kernel and SVM
The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...
متن کاملComplex interaction of dendritic connectivity and hierarchical patch size on biodiversity in river-like landscapes.
Habitat fragmentation and land use changes are causing major biodiversity losses. Connectivity of the landscape or environmental conditions alone can shape biodiversity patterns. In nature, however, local habitat characteristics are often intrinsically linked to a specific connectivity. Such a link is evident in riverine ecosystems, where hierarchical dendritic structures command related scalin...
متن کاملThe Effect of Change in Land Use on the indicators of Ecosystem Function and Soil Erosion via Landscape Function Analysis Method (LFA)
1- INTRODUCTION Over the past few decades, the objective of the evaluation and monitoring of the optimal utilization of sustainable natural resource services and ecosystem performance has been the successor to the ecosystem structure. Tongway and Hindley introduced a Landscape Function Analysis (LFA) method in 2004 to evaluate the ecosystem Function. In the new method, soil is considered as th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Ecology letters
دوره 14 1 شماره
صفحات -
تاریخ انتشار 2011