Predicting the habitat suitability of Ilex verticillata (Aquifoliaceae) in China with field-test validations DOI Creative Commons
yawen yin, Zhenan Hou, Qiliang Sun

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0315908 - e0315908

Published: Feb. 4, 2025

The cut branches of Ilex verticillata are highly ornamental and have high economic value. Since its introduction to China, it has received widespread attention. In the context climate change today, ensuring promotion sustainable production in China is great significance. this study we evaluated habitat suitability species using MaxEnt, combined with soil variables, assess impact on potential suitable habitat. We used 121 I . occurrence data validated model prediction extensive field testing (12 test sites located areas from 23.19° N 42.91° 76.17° E 125.14° E). (AUC = 0.854) performed well. Among them, three precipitation variables one temperature variable were main factors determining distribution China. Field trial tests predictions consistent, indicating that our biologically meaningful economically valuable. Under Shared Socioeconomic Pathways (SSPs) scenario, medium habitats for will be reduced future climate. This helps better understand provides suggestions cultivation protection

Language: Английский

MaxEnt modeling for habitat suitability assessment of threatened Dipterocarpus species in the Indian East Himalayas DOI Creative Commons
Animekh Hazarika, Jyotish Ranjan Deka, K. C. Majumdar

et al.

Biodiversity and Conservation, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Language: Английский

Citations

2
Predictive mapping of two endemic oak tree species under climate change scenarios in a semiarid region: Range overlap and implications for conservation DOI Open Access

Ala A. Hama,

Nabaz R. Khwarahm

Ecological Informatics, Journal Year: 2022, Volume and Issue: 73, P. 101930 - 101930

Published: Nov. 25, 2022

Language: Английский

Citations

63
Predicting the potential habitat suitability of Saussurea species in China under future climate change using the optimized Maximum Entropy (MaxEnt) model DOI Creative Commons
Rongfang Zhao, Shijin Wang, Shengyun Chen

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 474, P. 143552 - 143552

Published: Sept. 4, 2024

Language: Английский

Citations

11
Habitat distribution modelling to identify areas of high conservation value under climate change for an endangered arid land tree Tecomella undulata DOI

Jereem Thampan,

Jyoti Srivastava,

Pooja Nitin Saraf

et al.

Journal of Arid Environments, Journal Year: 2025, Volume and Issue: 227, P. 105317 - 105317

Published: Jan. 8, 2025

Language: Английский

Citations

1
Assessing the Impacts of Climate Change Scenarios on Soil-Adjusted Vegetation Index in North African Arid Montane Rangeland: Case of Toujane Region DOI Open Access
Jamila Msadek, Abderrazak Tlili, Farah Chouikhi

et al.

Climate, Journal Year: 2025, Volume and Issue: 13(3), P. 59 - 59

Published: March 15, 2025

Radiometric vegetation indices are considered good indicators of health and can contribute to explaining its current future evolutions. This study is carried out in the arid mountain rangeland Toujane (southeast Tunisia). The aim predict how climate change will affect Soil-Adjusted Vegetation Index (SAVI) values under dryland conditions. Current SAVI analyzed using maximum entropy algorithm (MaxEnt). Canadian Earth System Model version 5 (CanESM5) represents data source two climatic scenarios. These last, called Shared Socioeconomic Pathways (SSP245, SSP585), concern four time periods (2021–2040, 2041–2060, 2061–2080, 2081–2100). Three topographic, twelve soil, nineteen variables undertaken during each period. main results jackknife test show that temperature, precipitation, some soil factors influencing indices. Specifically, they plant growth cover, which turn modify index. Based on area receiving curve, model shows high predictive accuracy for a (AUC = 0.88 − 0.92). findings land management strategies may be incumbent upon reduce vulnerability linked rangelands.

Language: Английский

Citations

1
Assessing the suitable regions and the key factors for three Cd-accumulating plants (Sedum alfredii, Phytolacca americana, and Hylotelephium spectabile) in China using MaxEnt model DOI
Xiaofeng Zhao, Mei Lei, Changhe Wei

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 852, P. 158202 - 158202

Published: Aug. 24, 2022

Language: Английский

Citations

34
Study on the change of global ecological distribution of Nicotiana tabacum L. based on MaxEnt model DOI Creative Commons

Linxi Jia,

Mingming Sun,

Mingrui He

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: July 17, 2024

L. (tobacco) has extremely high economic value, medicinal scientific research value and some other uses. Though it been widely cultivated throughout the world, classification change of its suitable habitats is not that clear, especially in context global warming. In order to achieve rational cultivation sustainable development tobacco, current (average from 1970-2000) future (2070, average 2061-2080) potential

Language: Английский

Citations

6
Projected global warming-induced terrestrial ecosystem carbon across China under SSP scenarios DOI Creative Commons
Rui Kong, Zengxin Zhang,

Richao Huang

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 139, P. 108963 - 108963

Published: May 14, 2022

Terrestrial ecosystem carbon sequestration is one of the most economically feasible and important ways to mitigate increase atmospheric CO2 concentration. China's terrestrial ecosystems have a huge potential. Therefore, study on potential vegetation related smooth implementation neutrality strategy in 2060. Based CMIP6 shared socioeconomic pathways (SSPs) scenarios, changes aboveground biomass (ABC) were estimated using Lund–Potsdam–Jena Dynamic Global Vegetation Model (LPJ) model (1981–2060) for China. Subsequently, ABC dynamics analyzed under three future scenarios based traditional Multi-Model Ensemble Mean (MME) method different eco-regions We found that density was 32.38 Mg/ha China with an increasing trend 53.99% from 1981 2014. The higher sub-regions I, II, V, VI. Due main forest sinks appeared Southwest, Northeast Southeast However, water conditions are poor III, VII, VIII, mostly covered by desert steppe where productivity level low. Under SSP1-2.6 SSP2-4.5 would show decreasing 2015 2040 reduction rate 4.34% 4.60%, but exhibit 2041 2060 growth 1.46% 0.97%. While during 14.78% SSP5-8.5 scenarios. Additionally, temperature precipitation factors influencing ABC. In scenario, due temperatures resulted decrease cold temperate humid humid/sub-humid regions. northwestern arid region Qinghai-Tibet Plateau may been relatively low region, warming address this limitation lead general

Language: Английский

Citations

25
Prediction of potential suitable areas forBroussonetia papyriferain China using the MaxEnt model and CIMP6 data DOI Creative Commons
Meiquan Wang, Qingwei Guan

Journal of Plant Ecology, Journal Year: 2023, Volume and Issue: 16(4)

Published: Feb. 25, 2023

Abstract Broussonetia papyrifera is an important native tree species in China with strong adaptability, wide distribution and economic importance. Climate change considered as the main threat to ecological processes global biodiversity. Predicting potential geographical of B. future climate scenarios will provide a scientific basis for restoration China. Principal component analysis Pearson correlation were conducted select environmental variables. The changes suitable area predicted using maximum entropy model CIMP6 dataset from 2041 2060. current highly areas mainly located Guangdong (5.60 × 104 km2), Guangxi (4.39 Taiwan (2.54 km2) Hainan (2.17 km2). mean temperature coldest quarter (11.54–27.11 °C), precipitation driest (51.48–818.40 mm) wettest (665.51–2302.60 factors limiting papyrifera. multi-modal average total 111.42 349.11 km2 SSP5-8.5 scenario, while those SSP1-2.6 scenario 87.50 328.29 km2, respectively. gained expand western northern scenarios. multi-model averaging results showed that available planting was 212.66 229.32 scenarios, respectively, when within farmland range excluded.

Language: Английский

Citations

14
Assessment of Climate Change and Land Use/Land Cover Effects on Aralia elata Habitat Suitability in Northeastern China DOI Open Access
Xin Jin, B. H. Chang,

Yanqing Huang

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(1), P. 153 - 153

Published: Jan. 11, 2024

Climate change and land use/land cover (LULC) have received widespread attention as the two main factors contributing to shrinking of plant habitats. However, different effects these on understory economic tree species are not clear. This is conducive conservation exploitation forest resources. Here, we used distribution modeling predict extent which climate LULC will affect changes in suitable habitats for A. elata under scenarios future. The results showed habitat be located Changbai Mountain Range northeast China. current area 110,962 km2. variables that annual precipitation, LULC, slope, mean diurnal range. percentage contributions 31.2%, 16.8%, 12.8%, 12.3%, respectively. In 2070s, high-quality (moderately highly) was reduced by an average 6.05% when alone changed, 10.21% use changed. When both changed together, there decrease 9.69%. acted did suddenly increase. These findings help identify potentially carry out efforts ensure sustainability.

Language: Английский

Citations

5