Modeling habitat suitability of Hippophae rhamnoides L. using MaxEnt under climate change in China: A case study of H. r. sinensis and H. r. turkestanica DOI Creative Commons

Xiaohui He,

Jianhua Si,

Li Zhu

et al.

Frontiers in Forests and Global Change, Journal Year: 2023, Volume and Issue: 5

Published: Jan. 11, 2023

Hippophae rhamnoides is widely known for its important ecological, economic, and social benefits. It as the pioneer plant of soil water conservation, with homology in food medicine. With climate warming recent years, numbers this species countries have decreased steadily. H. r. sinensis turkestanica widest distribution area China, which account more than 90% total national resources. We firstly screened presence data downscale environment variables (climate soil) by correlation analysis. Secondly, based on 232 occurrence 10 environmental variables, 73 11 we simulated predicted their suitable habitats both at current time 2050S (2041–2060), analyzed dominant factors effecting using MaxEnt. Finally, studied habitat variations centroid migrations these subspecies under future scenarios spatial analysis function ArcGIS. The results indicated that much larger trkestanica China. concentrated middle upper reaches Yellow River, mainly distributed Shaanxi, Shanxi, Sichuan, Qinghai, Gansu, Ningxia, Tibet, Inner Mongolia, Xinjiang Tibet. former affected bio13 (precipitation wettest month), bio11 (mean temperature coldest quarte) bio3 (Isothermality), latter bio2 diurnal range) bio15 seasonality), also stable face change. They are susceptible to survival. Although, two tend expand migrate toward lower latitude scenarios, there some differences. will westward, while eastward a whole. high stability not risk extinction future. study’s findings help clarify resource reserve L. guide protection wild resources popularize artificial planting areas, provides scientific basis ecological environment.

Language: Английский

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings DOI
Qifan Wang,

Man Cheng,

Shuo Huang

et al.

Computers and Electronics in Agriculture, Journal Year: 2022, Volume and Issue: 199, P. 107194 - 107194

Published: July 8, 2022

Language: Английский

Citations

148

Dynamics of invasive alien plant species in China under climate change scenarios DOI Creative Commons

Wenqin Tu,

Qinli Xiong, Xiaoping Qiu

et al.

Ecological Indicators, Journal Year: 2021, Volume and Issue: 129, P. 107919 - 107919

Published: June 28, 2021

The distribution dynamics of invasive alien plants is the fundamental information for early detection and rapid response (EDRR) to these species in a new habitat. Based on field survey data online databases, present research work utilized Maximum Entropy model (Maxent) simulate four Ageratina adenophora (Spreng.) R. M. King et H. Rob., Alternanthera philoxeroides (Mart.) Griseb., Ambrosia artemisiifolia L. Mikania micrantha Kunth China, under current future climate (2041–2060, 2061–2080, 2081–2100) two shared socio-economic pathways (SSPs: SSP 245 585) newly released coupled intercomparison project phase6 (CMIP6). All suitable habitat areas will significantly expand future, but at different expansion levels. have largest area (increase by 61–120%), while A. 7–33%, 12–74%, 8–27%, respectively. Additionally, centers shift north, i.e., philoxeroides, northwest, northeast, except that core distributions move southwest one certain environment scenario (SSP period 2061–2080). Compared aspect index slope topographical variables, population density, temperature, precipitation are found be more important variables describing plants. habitats correlating driver factors proposed this provide essential insights into spatial management biodiversity conservation which is, not only human activities should regulated migration reduced, also monitoring high-risk strengthened order ensure effective EDRR.

Language: Английский

Citations

59

Exploring the potential role of environmental and multi-source satellite data in crop yield prediction across Northeast China DOI
Zhenwang Li, Lei Ding,

Dawei Xu

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 815, P. 152880 - 152880

Published: Jan. 6, 2022

Language: Английский

Citations

54

Climate change has increased the global threats posed by three ragweeds (Ambrosia L.) in the Anthropocene DOI
Xiaoqing Xian, Haoxiang Zhao, Rui Wang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 859, P. 160252 - 160252

Published: Nov. 22, 2022

Language: Английский

Citations

54

Dynamics of the distribution of invasive alien plants (Asteraceae) in China under climate change DOI
Wenjun Yang, Shuxia Sun,

Naixian Wang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 903, P. 166260 - 166260

Published: Aug. 12, 2023

Language: Английский

Citations

31

Gaps and opportunities in modelling human influence on species distributions in the Anthropocene DOI Creative Commons
Veronica F. Frans, Jianguo Liu

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: 8(7), P. 1365 - 1377

Published: June 12, 2024

Abstract Understanding species distributions is a global priority for mitigating environmental pressures from human activities. Ample studies have identified key (climate and habitat) predictors the spatial scales at which they influence distributions. However, regarding influence, such understandings are largely lacking. Here, to advance knowledge concerning on distributions, we systematically reviewed distribution modelling (SDM) articles assessed current efforts. We searched 12,854 found only 1,429 using within SDMs. Collectively, these of >58,000 used 2,307 unique predictors, suggesting that in contrast there no ‘rule thumb’ predictor selection The number across also varied (usually one four per study). Moreover, nearly half projecting future climates held constant over time, risking false optimism about effects activities compared with climate change. Advances SDMs paramount accurately informing advancing policy, conservation, management ecology. show considerable gaps including understand Anthropocene, opening opportunities new inquiries. pose 15 questions ecological theory, methods real-world applications.

Language: Английский

Citations

13

The Influence of Climate Change on the Distribution of Hibiscus mutabilis in China: MaxEnt Model-Based Prediction DOI Creative Commons
Lu Zhang, Beibei Jiang, Yu Meng

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(13), P. 1744 - 1744

Published: June 24, 2024

Our study utilized 374 geographical distribution records of H. mutabilis and 19 bioclimatic factors, employing the MaxEnt model Geographic Information System (ArcGIS). The key environmental variables influencing suitable areas were analyzed through comprehensive contribution rate, permutation importance, Pearson correlation coefficient. Based on this analysis, contemporary future their extents predicted. results indicate that limiting factor affecting is precipitation driest month (bio14), with secondary factors being annual (bio12), mean temperature (bio1), range (bio7). Under climate conditions, total area for approximately 2,076,600 km2, primarily concentrated in tropical subtropical regions southeastern China. low-to-medium-emission scenarios (SSP1-2.6, SSP2-4.5), shows a trend first decreasing then increasing compared to current scenario. In contrast, under high-emission (SSP5-8.5), it exhibits decreasing. spatial pattern changes retention rate ranges from 95.28% 99.28%, centers located Hunan Guizhou provinces, showing an overall migration towards west north. These findings suggest possesses certain level adaptability change. However, crucial consider regional drought sudden events practical cultivation introduction processes. our provide scientific basis rational management, conservation, utilization germplasm resources mutabilis.

Language: Английский

Citations

10

Predicting Current and Future Habitat Suitability of an Endemic Species Using Data-Fusion Approach: Responses to Climate Change DOI

Atiyeh Amindin,

Hamid Reza Pourghasemi, Roja Safaeian

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: 94, P. 149 - 162

Published: April 5, 2024

Language: Английский

Citations

9

Habitat suitability modelling of a critically endangered plant species -Commiphora wightii (Arn.) Bhandari: comparative assessment using various machine learning algorithms DOI
Manish Mathur, Preet Mathur

Tropical Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Language: Английский

Citations

1

Adaptation, restoration and collapse of anammox process to La(III) stress: Performance, microbial community, metabolic function and network analysis DOI
Hao Su,

Dachao Zhang,

Philip Antwi

et al.

Bioresource Technology, Journal Year: 2021, Volume and Issue: 325, P. 124731 - 124731

Published: Jan. 19, 2021

Language: Английский

Citations

44