中文
相关论文

相关论文: Clarifying species dependence under joint species …

200 篇论文

Failing to account for ecological processes such as dispersal and connectivity when modeling distributions can lead to biased inference about environmental drivers and reduced predictive performance. Spatial dynamic occupancy models are…

种群与进化 · 定量生物学 2026-05-07 Simon Lacombe , Sébastien Devillard , Cécile Kauffmann , Olivier Gimenez

Patterned vegetation is a characteristic feature of many dryland ecosystems. While plant densities on the ecosystem-wide scale are typically low, a spatial self-organisation principle leads to the occurrence of alternating patches of high…

种群与进化 · 定量生物学 2020-05-05 Lukas Eigentler

The general tendency for species number (S) to increase with sampled area (A) constitutes one of the most robust empirical laws of ecology, quantified by species-area relationships (SAR). In many ecosystems, SAR curves display a power-law…

种群与进化 · 定量生物学 2009-08-04 Simone Pigolotti , Massimo Cencini

The dynamics of many microbial ecosystems are driven by cross-feeding interactions, in which metabolites excreted by some species are metabolised further by others. The population dynamics of such ecosystems are governed by…

种群与进化 · 定量生物学 2016-08-16 Björn Vessman , Philip Gerlee , Torbjörn Lundh

Ecological networks describe the interactions between different species, informing us of how they rely on one another for food, pollination and survival. If a species in an ecosystem is under threat of extinction, it can affect other…

种群与进化 · 定量生物学 2023-07-06 Chris Jones , Damaris Zurell , Karoline Wiesner

We investigate the replicator dynamics with "sparse" symmetric interactions which represent specialist-specialist interactions in ecological communities. By considering a large self interaction $u$, we conduct a perturbative expansion which…

种群与进化 · 定量生物学 2016-09-21 Tomoyuki Obuchi , Yoshiyuki Kabashima , Kei Tokita

Predicting species persistence within ecological communities is a fundamental challenge for both empirical and theoretical ecology. Existing methods span from mechanistic models, whose parameters are difficult to estimate from data, to…

In this paper, we propose a Spatial Robust Mixture Regression model to investigate the relationship between a response variable and a set of explanatory variables over the spatial domain, assuming that the relationships may exhibit complex…

统计方法学 · 统计学 2021-09-30 Wennan Chang , Pengtao Dang , Changlin Wan , Xiaoyu Lu , Yue Fang , Tong Zhao , Yong Zang , Bo Li , Chi Zhang , Sha Cao

In order to understand the role of space in ecological communities where each species produces a certain type of resource and has varying abilities to exploit the resources produced by its own species and by the other species, we carry out…

动力系统 · 数学 2011-02-14 Yun Kang , Nicolas Lanchier

A new model ecosystem consisting of many interacting species is introduced. The species are connected through a random matrix with a given connectivity. It is shown that the system is organized close to a boundary of marginal stability in…

adap-org · 物理学 2007-05-23 Ricard V. Sole , David Alonso , Alan McKane

Dispersal is ubiquitous throughout the tree of life: factors selecting for dispersal include kin competition, inbreeding avoidance and spatiotemporal variation in resources or habitat suitability. These factors differ in whether they…

种群与进化 · 定量生物学 2018-11-28 Xiang-Yi Li , Hanna Kokko

In the environmental modeling field, the exploratory analysis of responses often exhibits spatial correlation as well as some non-Gaussian attributes such as skewness and/or heavy-tailedness. Consequently, we propose a general spatial model…

统计理论 · 数学 2019-07-25 Behzad Mahmoudian

Species interaction networks are a powerful tool for describing ecological communities; they typically contain nodes representing species, and edges representing interactions between those species. For the purposes of drawing abstract…

机器学习 · 计算机科学 2025-02-25 Sanaz Hasanzadeh Fard , Emily Dolson

We investigate the impact of parity on the abundance of weak species in the context of the simplest generalization of the rock-paper-scissors model to an arbitrary number of species -- we consider models with a total number of species…

种群与进化 · 定量生物学 2021-07-12 P. P. Avelino , B. F. de Oliveira , R. S. Trintin

The statistical properties of an ecosystem composed of species interacting via pairwise, random interactions and deterministic, concentration limiting self-interaction are studied analytically with tools of equilibrium statistical mechanics…

无序系统与神经网络 · 物理学 2009-11-07 Viviane M. de Oliveira , J. F. Fontanari

Advances in field techniques have lead to an increase in spatially-referenced capture-recapture data to estimate a species' population size as well as other demographic parameters and patterns of space usage. Statistical models for these…

应用统计 · 统计学 2014-05-09 Brian J. Reich , Beth Gardner

When modeling geostatistical or areal data, spatial structure is commonly accommodated via a covariance function for the former and a neighborhood structure for the latter. In both cases the resulting spatial structure is a consequence of…

统计方法学 · 统计学 2015-04-20 Garritt L. Page , Fernando A. Quintana

Many natural, engineered, and social systems can be represented using the framework of a layered network, where each layer captures a different type of interaction between the same set of nodes. The study of such multiplex networks is a…

物理与社会 · 物理学 2020-05-12 Haochen Wu , Ryan G. James , James P. Crutchfield , Raissa M. D'Souza

Individual species may experience diverse outcomes, from prosperity to extinction, in an ecological community subject to external and internal variations. Despite the wealth of theoretical results derived from random matrix ensembles, a…

种群与进化 · 定量生物学 2024-06-12 Andrus Giraldo , Deok-Sun Lee

A theory of relative species abundance on sparsely-connected networks is presented by investigating the replicator dynamics with symmetric interactions. Sparseness of a network involves difficulty in analyzing the fixed points of the…

统计力学 · 物理学 2016-12-21 Tomoyuki Obuchi , Yoshiyuki Kabashima , Kei Tokita