Impact of climate change on vegetation patterns in Altay Prefecture, China DOI
Li Li,

Yi-Zhi Pang,

Gui-Quan Sun

et al.

Mathematical Medicine and Biology A Journal of the IMA, Journal Year: 2024, Volume and Issue: 41(1), P. 53 - 80

Published: Feb. 29, 2024

Abstract Altay Prefecture, a typical arid region in northwestern China, has experienced the climate transition from warming-drying to warming-wetting since 1980s and attracted widespread attention. Nonetheless, it is still unclear how change influenced distribution of vegetation this region. In paper, reaction–diffusion model climate–vegetation system proposed study impact (precipitation, temperature carbon dioxide concentration) on patterns Prefecture. Our results indicate that tendency growth Prefecture improved gradually 1985 2010. Under current conditions, increase precipitation pattern structures, eventually coverage tends be uniform. Moreover, we found there exists an optimal where spot structure remains stable. Furthermore, concentration induces transition. Based four scenarios Coupled Model Intercomparison Project Phase 6 (CMIP6), used power law range (PLR) predict scenario for sustainable development ecosystem

Language: Английский

Chaotic Dynamics of the Fractional Order Predator-Prey Model Incorporating Gompertz Growth on Prey with Ivlev Functional Response DOI Creative Commons
Md. Jasim Uddin, P. K. Santra, Sarker Md. Sohel Rana

et al.

Chaos Theory and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: April 5, 2024

This paper examines dynamic behaviours of a two-species discrete fractional order predator-prey system with functional response form Ivlev along Gompertz growth prey population. A discretization scheme is first applied to get Caputo differential for the prey-predator model. study identifies certain conditions local asymptotic stability at fixed points proposed The existence and direction period-doubling bifurcation, Neimark-Sacker Control Chaos are examined discrete-time domain. As bifurcation parameter increases, displays chaotic behaviour. For various model parameters, diagrams, phase portraits, time graphs obtained. Theoretical predictions long-term behaviour supported by numerical simulations across wide variety parameters. article aims offer an OGY state feedback strategy that can stabilize orbits precarious equilibrium point.

Language: Английский

Citations

3
Characterization of spatio-temporal patterns of grassland utilization intensity in the Selinco watershed of the Qinghai-Tibetan Plateau from 2001 to 2019 based on multisource remote sensing and artificial intelligence algorithms DOI
Changhui Ma, Yaowen Xie, Si‐Bo Duan

et al.

GIScience & Remote Sensing, Journal Year: 2022, Volume and Issue: 59(1), P. 2217 - 2246

Published: Dec. 12, 2022

Due to the limitations of spatial quantification methods, spatio-temporal patterns grassland utilization intensity (GUI) in Selinco watershed (SLCW), core region ecological security on Qinghai-Tibetan Plateau, is unclear under multiple modes. This paper quantified GUI by constructing association between potential and actual Enhanced Vegetation Index (EVI) grasslands terms interannual variability. To obtain an accurate dataset EVI, following two components were considered on. Firstly, temporal lag effects each raw climate factor investigated determine optimal variables affecting vegetation productivity. Secondly, four machine learning (ML) algorithms, including artificial neural network, random forest, support vector machine, gradient boosting regression tree combined with Bayesian model average, used construct EVI models involving type, environmental factors (topography, soil, climate, bioclimatic). Meanwhile, maximize performance ML models, variable selection, transformation, hyperparameter optimization systematically implemented, where algorithms employ grid search algorithm, optimization, genetic particle swarm optimization. Then, SLCW from 2001 2019 was established using above method based multisource remote sensing intelligence algorithms. The analysis variation showed that implementation restoration projects leads a significant rapid decline overall after 2010 (declining 4.8%), which more obvious non-nature reserve 9.3%). In Qiangtang Nature Reserve within SLCW, although shows declining trend because projects, it insignificant increase due recovery wildlife populations recent decades. Besides, exploring elevation slope GUI, found higher slopes at lower elevations are greater risk degradation intensive utilization.

Language: Английский

Citations

13
EFFECT OF NONLOCAL DELAY WITH STRONG KERNEL ON VEGETATION PATTERN DOI Open Access
Juan Liang, Gui‐Quan Sun

Journal of Applied Analysis & Computation, Journal Year: 2023, Volume and Issue: 14(1), P. 473 - 505

Published: Dec. 4, 2023

In order to understand the mechanism of water uptake by vegetation, we propose a vegetation-water model with nonlocal effect which is characterised delay strong kernel in this paper. By mathematical analysis, condition producing steady pattern obtained. Furthermore, amplitude equation determines type Turing obtained nonlinear analysis method. The corresponding vegetation and evolution process under different intensity roots are given numerical simulations. results show that as increases, isolation degree increases indicates robustness ecosystem decreases. Besides, reveal diffusion coefficient change structure is: stripe pattern$ \rightarrow $mixed $spot pattern. Our effects on distribution, provide theoretical basis for study vegetation.

Language: Английский

Citations

8
Monitoring Land Degradation through Vegetation Dynamics Mathematical Modeling: Case of Jornada Basin (in the U.S.) DOI Creative Commons
Zheng Chen, Jieyu Liu,

Zhonghua Qian

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(4), P. 978 - 978

Published: Feb. 10, 2023

Arid ecosystems are known to be sensitive climate change. The Jornada Basin in the USA, as one representative of arid land, has suffered from land degradation recent decades. In order disentangle climate–vegetation feedback, we analyzed vegetation dynamics under effects change via a mathematical model based on reaction–diffusion mechanism. Using this model, conducted analysis factors and concluded that ecosystem might experience catastrophic shift with climatic deterioration. We considered non-local interaction term explain competition among plants. Additionally, PLR (power law range) metric was used quantify extent compare results patterns remote sensing data simulations. From results, could simulate trends area. found mainly attributed changes years. This approach suggests can provide hints whether is approaching desertification. These help mapping vulnerable areas around world through simulation satellite images.

Language: Английский

Citations

7
Analysis of global vegetation resilience under different future climate scenarios DOI
Zheng Chen, Peiyi Fan,

Xintong Hou

et al.

Climate Dynamics, Journal Year: 2024, Volume and Issue: 62(8), P. 7967 - 7980

Published: June 27, 2024

Language: Английский

Citations

2
Spatiotemporal dynamics of a diffusive SI model in the regions of Turing-Hopf bifurcation point DOI
Tianxiang Sun, Z.L. Xue, Hongtao Zhang

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 18, 2024

Language: Английский

Citations

2
The role of soil surface in a sustainable semiarid ecosystem DOI Creative Commons
Swadesh Pal, Malay Banerjee, Roderick Melnik

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0314910 - e0314910

Published: Dec. 12, 2024

Patterns in a semiarid ecosystem are important because they directly and indirectly affect ecological processes, biodiversity, resilience. Understanding the causes effects of these patterns is critical for long-term land surface management conservation efforts regions, which especially sensitive to climate change human-caused disturbances. In addition, developing mathematical models challenging involvement several interacting components within an ecosystem. It known that there regular connection between vegetation living species habitat since some animals evolved live rely on plants food. this work, we have constructed coupled model connect water resource, vegetation, organisms investigated how soil affects resulting long term. This study contributes better understanding processes environments by shedding light complex interaction mechanisms depend structure ecosystems. For example, impact intensive rainfall dynamics can be profound, triggering transitions leading significant yield loss. The energy lost as it moves from one trophic level next, potential diversity exacerbate extinction rates, role flow driving system towards more robust stripe pattern formations all factors. Despite complexities, findings offer insights into influence enhance resilience adapt challenges human activities.

Language: Английский

Citations

2
Precipitation governing vegetation patterns in an arid or semi-arid environment DOI
Cuihua Wang, Hao Wang, Sanling Yuan

et al.

Journal of Mathematical Biology, Journal Year: 2023, Volume and Issue: 87(1)

Published: July 1, 2023

Language: Английский

Citations

5
Spatial dynamics of a vegetation model with uptake–diffusion feedback in an arid environment DOI
Gui‐Quan Sun,

Li-Feng Hou,

Li Li

et al.

Journal of Mathematical Biology, Journal Year: 2022, Volume and Issue: 85(5)

Published: Oct. 13, 2022

Language: Английский

Citations

8
Long-range seed dispersal enables almost stationary patterns in a model for dryland vegetation DOI Creative Commons
Lukas Eigentler,

Jonathan A. Sherratt

Journal of Mathematical Biology, Journal Year: 2022, Volume and Issue: 86(1)

Published: Dec. 17, 2022

Abstract Spatiotemporal patterns of vegetation are a ubiquitous feature semi-arid ecosystems. On sloped terrain, occur as stripes perpendicular to the contours. Field studies report contrasting long-term dynamics between different observation sites; some observe slow uphill migration bands while stationary patterns. In this paper, we show that long-range seed dispersal provides mechanism enables occurrence both migrating and We utilise nonlocal PDE model in which is accounted for by convolution term. The represents periodic travelling waves numerical continuation shows almost stable if distances sufficiently large. use perturbation theory approach obtain analytical confirmation existence patterned solutions provide biological interpretation phenomenon.

Language: Английский

Citations

8