The evolutionary stability of plant antagonistic facilitation across environmental gradients and its ecological consequences: soil resource engineering as a case study DOI Creative Commons
Ciro Cabal,

Gabriel Andreguetto Maciel,

Ricardo Martínez‐García

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Фев. 5, 2023

Abstract Plant interactions, understood as the net effect of an individual on fitness a neighbor, vary in strength and can shift from negative to positive environmental conditions change time space. Evolutionary theory questions stability non-reciprocal interactions which one plant has return impact its benefactor. This type interaction is known antagonistic facilitation. We develop spatially explicit consumer-resource model for below-ground competition, including plants able mine resources make them available any other community, termed ecosystem engineers. use assess whether under facilitation via soil resource engineering evolutionarily stable. find that stable highly stressful conditions, supports engineers drivers primary succession provides theoretical ground investigate mechanistically context stress gradient hypothesis. Among all potential causes considered model, key parameter driving changes between proportion limiting without mining. finding represents challenge empirical studies, usually measure input or loss system proxy stress. also total root biomass spatial allocation through system, often used nature plants, do not predict reliably. Synthesis. Antagonistic established engineer nurse neighbor opportunistic individuals be environments where engineers’ self-benefits mining outweigh competition with neighbors. These results align theories hypothesis they show stress, but it evolves into mutual interference milder environments. However, using inaccurate parameters gradients studies might mask these patterns.

Язык: Английский

Pattern formation of a spatial vegetation system with cross-diffusion and nonlocal delay DOI
Gaihui Guo,

Qijing Qin,

Hui Cao

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 181, С. 114622 - 114622

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

12
Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau DOI
Yuxin Wang, Hu Liu,

Wenzhi Zhao

и другие.

CATENA, Год журнала: 2024, Номер 239, С. 107970 - 107970

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

6
Stationary and Oscillatory patterned solutions in three-compartment reaction–diffusion systems: Theory and application to dryland ecology DOI Creative Commons
Giancarlo Consolo, Carmela Curró, Gabriele Grifó

и другие.

Chaos Solitons & Fractals, Год журнала: 2024, Номер 186, С. 115287 - 115287

Опубликована: Июль 23, 2024

This work aims at elucidating the conditions under which stationary and oscillatory periodic patterns may emerge in a class of one-dimensional three-compartments reaction–diffusion models where one interacting species does not undergo any spatial dispersal. To this purpose, linear stability analysis is firstly employed to deduce system undergoes Turing or wave instability as well extract information on main features that characterize corresponding patterned solutions onset. Then, multiple-scale weakly nonlinear carried out describe time evolution pattern amplitude close bifurcation thresholds above-mentioned instabilities. Finally, provide quantitative estimation most relevant features, an illustrative example context dryland ecology addressed. It deals with generalization Klausmeier vegetation model for flat arid environments describes interaction among biomass, soil water toxic compounds. Numerical simulations are also used corroborate theoretical findings gain some useful insights into ecological response ecosystems variable environmental conditions.

Язык: Английский

Процитировано

5
Phenotypic plasticity: A missing element in the theory of vegetation pattern formation DOI Creative Commons
Jamie J. R. Bennett, Bidesh K. Bera, Michel Ferré

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2023, Номер 120(50)

Опубликована: Дек. 7, 2023

Regular spatial patterns of vegetation are a common sight in drylands. Their formation is population-level response to water stress that increases availability for the few via partial plant mortality. At individual level, plants can also adapt by changing their phenotype. Phenotypic plasticity and patterning populations have extensively been studied independently, but likely interplay between two robust mechanisms has remained unexplored. In this paper, we incorporate phenotypic into multi-level theory pattern use fascinating ecological phenomenon, Namibian “fairy circles,” demonstrate need such theory. We show changes root structure plants, coupled with pattern-forming feedback within soil layers, resolve puzzles current fails explain: observations multi-scale absence theoretically predicted large-scale stripe spot along rainfall gradient. Importantly, find responses unveil wide variety more effective stress-relaxation pathways, compared single-level responses, implying previously underestimated resilience dryland ecosystems.

Язык: Английский

Процитировано

11
Decoding the interaction mediators from landscape-induced spatial patterns DOI
E. H. Colombo, Lucianno Defaveri, Celia Anteneodo

и другие.

Physical review. E, Год журнала: 2025, Номер 111(1)

Опубликована: Янв. 2, 2025

Interactions between organisms are mediated by an intricate network of physico-chemical substances and other organisms. Understanding the dynamics mediators how they shape population spatial distribution is key to predict ecological outcomes would be transformed changes in environmental constraints. However, due inherent complexity involved, this task often unfeasible, from empirical theoretical perspectives. In paper, we make progress addressing central issue, creating a bridge that provides two-way connection features ensemble underlying wrinkles density induced landscape defect (or perturbation). The constructed applying Feynman-Vernon decomposition, which disentangles influences among focal compact way. This achieved through interaction kernel, effectively incorporates mediators' degrees freedom, explaining emergence nonlocal influence individuals, ad hoc assumption modeling dynamics. Concrete examples worked out reveal behind possible top-down inference procedure. locked icon Physics Subject Headings (PhySH)Ecological pattern formationPattern formation

Язык: Английский

Процитировано

0
Can spatial self-organization inhibit evolutionary adaptation? DOI Creative Commons
Bidesh K. Bera, Omer Tzuk, Jamie J. R. Bennett

и другие.

Journal of The Royal Society Interface, Год журнала: 2025, Номер 22(222)

Опубликована: Янв. 1, 2025

Plants often respond to drier climates by slow evolutionary adaptations from fast-growing stress-tolerant species. These increase the plants’ resilience droughts but involve productivity losses that bear on agriculture and food security. also spatial self-organization, through fast vegetation patterning involving differential plant mortality increased water availability surviving plants. The manners in which these two response forms intermingle affect have not been studied. Here we ask: can inhibit undesired adaptation without compromising ecosystem resilience? To address this question, integrate adaptive dynamics pattern-formation theories show less productive, more species over a wide precipitation range while increasing their stress. This homeostasis results high plasticity of patterns, associated with patch thinning dilution, maintains steady local despite decreasing precipitation. Spatial heterogeneity expedites onset induces at an earlier stage adaptation, thereby mitigating loss occurs remains spatially uniform. We conclude discussing our broader context retardation.

Язык: Английский

Процитировано

0
Spatial moment dynamics and biomass density equations provide complementary, yet limited, descriptions of pattern formation in individual-based simulations DOI Creative Commons
Anudeep Surendran, David Pinto-Ramos, Rafael Menezes

и другие.

Physica D Nonlinear Phenomena, Год журнала: 2025, Номер unknown, С. 134703 - 134703

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Implementation of deep learning algorithms to model agricultural drought towards sustainable land management in Namibia's Omusati region DOI

Selma Ndeshimona Iilonga,

Oluibukun Gbenga Ajayi

Land Use Policy, Год журнала: 2025, Номер 156, С. 107593 - 107593

Опубликована: Май 13, 2025

Язык: Английский

Процитировано

0
Turing patterns in hyperbolic reaction-transport vegetation models with cross-diffusion DOI Creative Commons
Carmela Curró, Gabriele Grifó, Giovanna Valenti

и другие.

Chaos Solitons & Fractals, Год журнала: 2023, Номер 176, С. 114152 - 114152

Опубликована: Окт. 13, 2023

In this paper, the pattern formation process in arid environments on flat terrains is investigated. particular, a class of one-dimensional hyperbolic reaction-transport vegetation model with cross-diffusion term accounting for plant roots' suction soil water diffusion feedback considered. To characterize emerging Turing patterns, linear stability analysis uniform steady states first addressed. Then, multiple-scale weakly nonlinear performed to describe time evolution amplitude close threshold. Finally, validate analytical predictions, modified Klausmeier which takes also into account internal competition rate studied. The effects inertial times as well and are illustrated both analytically numerically.

Язык: Английский

Процитировано

8
Demographic effects of aggregation in the presence of a component Allee effect DOI
Daniel Cardoso Pereira Jorge, Ricardo Martínez‐García

Journal of The Royal Society Interface, Год журнала: 2024, Номер 21(215)

Опубликована: Июнь 1, 2024

The component Allee effect (AE) is the positive correlation between an organism’s fitness and population density. Depending on spatial structure, which determines interactions organisms, a AE might lead to density dependence in per-capita growth rate establish demographic AE. However, existing models impose fixed limits understanding of how dynamics jointly determine existence AEs. We introduce spatially explicit theoretical framework where structure are emergent properties individual-level movement rates. This predicts various patterns depending its specific parametrization, including evenly spaced aggregates demographic-level by-products find that aggregation increases abundance allows survival harsher environments at lower global densities when compared with uniformly distributed organisms. Moreover, can prevent from manifesting level or restrict it each independent aggregate. These results provide mechanistic AEs operate for different structures manifest larger scales.

Язык: Английский

Процитировано

2