Prediction of the Potentially Suitable Areas of Sesame in China Under Climate Change Scenarios Using MaxEnt Model DOI Creative Commons
Guoqiang Li, Xue Wang, Jie Zhang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 2090 - 2090

Published: Nov. 20, 2024

Sesame (Sesamum indicum L, flora of China) is an essential oil crop in China, but its growth and development are affected by climate change. To cope with the impacts change on sesame cultivation, we used Maximum Entropy (MaxEnt) model to analyze bioclimatic variables suitability China predicted suitable area trend under current future scenarios. The results showed that MaxEnt prediction was excellent. most crucial variable influencing distribution max temperature warmest month, followed annual mean temperature, precipitation, diurnal range, precipitation driest month. Under scenario, areas were widely distributed from south (Hainan) north (Heilongjiang) east (Yellow Sea) west (Tibet). highly 64.51 × 104 km2, accounting for 6.69% total land primarily located mainly southern central Henan, eastern Hubei, northern Anhui, Jiangxi, Hunan. moderately lowly accounted 17.45% 25.82%, respectively. Compared scenarios increased 0.10%–11.48% 0.08%–8.67%, while decreased 0.31%–23.03%. In addition, Henan. Heilongjiang, Jilin, Liaoning. This work practically significant optimizing regional layout cultivation response conditions.

Language: Английский

Influence of Lactobacillus plantarum and cellulase on fermentation quality and microbial community in mixed silage of Solanum rostratum and alfalfa DOI Creative Commons
Yuyu Li,

Hua Wang,

Zhang Yan-dong

et al.

Frontiers in Microbiomes, Journal Year: 2025, Volume and Issue: 3

Published: Jan. 8, 2025

Introduction Increasing the research on development and utilization of unconventional feed resources is one effective ways for sustainable herbivorous animal husbandry. China countries most severely impacted by invasion alien plant Solanum rostratum Dunal ( S. ), but this resource has not been used effectively. Methods The aim study was to investigate effects Lactobacillus plantarum cellulase fermentation quality microbial community in mixed silage alfalfa. Treatments were a control treatment with no additive (CK), (LP), (CE), combination (L+C), all which stored at ambient temperature 7, 15, 30, 60 days. Results results showed that mixture could retain dry matter (DM), crude protein (CP), water soluble carbohydrates (WSC) content, increase lactic acid (LA) decrease pH alkaloid improve during silage. use additives increased abundance Weissella , related improvement degradation total alkaloids. Differential functions mainly carbohydrate metabolism, biosynthesis secondary metabolites carbon metabolism. Conclusion application provides new idea .

Language: Английский

Citations

0
Prediction of the Potentially Risk Areas for the Invasive Plant <i>Solanum </i><i>aculeatissimum</i> <i>Jacq.</i> in China under the Background of Climate Change Based on MaxEnt Optimization Model DOI

鸿沛 韩

Open Journal of Natural Science, Journal Year: 2025, Volume and Issue: 13(02), P. 261 - 276

Published: Jan. 1, 2025

Language: Английский

Citations

0
Ecological niche modeling of Prosopis africana (Guill., Perrot., and Rich.) Taub in Togo, West Africa under current and future climate conditions DOI Creative Commons

Rachida Gbadamassi,

Mahunan Eric José Vodounnon,

Hèou Maléki Badjana

et al.

Discover Environment, Journal Year: 2025, Volume and Issue: 3(1)

Published: April 10, 2025

Language: Английский

Citations

0
Palynological characterization and taxonomic delimitation of the genus Salvia L. in Pakistan DOI
Fazli Rahman, Zahid Ullah, Amir Sultan

et al.

Palynology, Journal Year: 2025, Volume and Issue: unknown

Published: April 20, 2025

Language: Английский

Citations

0
Identification of urban trees at risk due to climate change- A case study of Tianjin city DOI Creative Commons
Jieyuan Bai, Hongcheng Wang, Dongdong Yang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112611 - 112611

Published: Sept. 25, 2024

Language: Английский

Citations

3
Fall armyworm habitat analysis in Africa with multi-source earth observation data DOI Creative Commons

Tonghui Qi,

Yingying Dong, Xueling Li

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 225, P. 109283 - 109283

Published: Aug. 10, 2024

Language: Английский

Citations

1
Fall Armyworm Habitat Analysis in Africa with Multi-Source Earth Observation Data DOI

Tonghui Qi,

Yingying Dong, Xueling Li

et al.

Published: Jan. 1, 2024

The fall armyworm (Spodoptera frugiperda, FAW) is a significant migratory agricultural pest under the global warning of Food and Agriculture Organization United Nations (FAO). Habitat suitability monitoring analysis for FAW can help support more scientific management dynamics decision-making on prevention control. In this study, we proposed monthly habitat model that integrates multi-source remote sensing data such as climate, land use, vegetation, soil, taking Africa, which seriously affected by FAW, study area. First, exploratory factor (EFA) was employed to reconstruct climate variables obtain three factors characterizing temperature, humidity, wind respectively. Then, indicators were constructed combining with other environmental variables, in Africa developed using random forest algorithm. Finally, based model, distribution month 2023 analyzed, along temporal spatial variation characteristics suitability. results indicate that: (1) effectively extracted information raw demonstrated good interpretability. African closely associated use/land cover (LULC), normalized difference vegetation index (NDVI), humidity (F2). (2) algorithm exhibited high precision (>0.9) across various metrics including accuracy, sensitivity, specificity, F1-score, AUC, Kappa, TSS. presence points verified validity model. (3) 2023, mainly distributed West East south Sahara Desert, Nile Delta north Desert. With seasonal changes, suitable unsuitable areas shift, movement pattern center basically consistent precipitation zone. use types grasslands, savannas, croplands are hotspots infestation rainy season every year. demonstrate approach data, realize dynamic high-precision provide references control insect pests, promote sustainable development agriculture.

Language: Английский

Citations

0
The Effects of Land Use Changes on the Distribution of the Chinese Endemic Species of Brown-Eared Pheasant DOI Creative Commons
Yue Zhao,

Cuiying Dang,

Yaoguo Liu

et al.

Diversity, Journal Year: 2024, Volume and Issue: 16(9), P. 514 - 514

Published: Aug. 26, 2024

The Chinese government has undertaken a significant forest restoration project, leading to notable increase in forested areas. Despite this achievement, there is uncertainty regarding its impact on wildlife protection. To assess this, we utilized high-resolution remote sensing data gather information land use, bioclimatic conditions, geography, and human activity. This was used model analyze changes suitable habitats for endemic brown-eared pheasants over the past 30 years determine effects of project habitats. Our analysis revealed that although habitat area pheasant expanded, increased did not influence their distribution. study also found increasing elevation decreasing grassland landscape patches promoted distribution pheasants. Furthermore, annual variation min temperature coldest month precipitation an important factor affecting Research showed seriously fragmented, connectivity between should be strengthened future. Based our findings, believe existing policies cannot effectively protect due neglecting key environmental factors at scale. Therefore, recommend developing refined use management level guide future ecological protection biodiversity conservation. These findings significantly affect policy research restoration.

Language: Английский

Citations

0
Prediction of the Potentially Suitable Areas of Sesame in China Under Climate Change Scenarios Using MaxEnt Model DOI Creative Commons
Guoqiang Li, Xue Wang, Jie Zhang

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 2090 - 2090

Published: Nov. 20, 2024

Sesame (Sesamum indicum L, flora of China) is an essential oil crop in China, but its growth and development are affected by climate change. To cope with the impacts change on sesame cultivation, we used Maximum Entropy (MaxEnt) model to analyze bioclimatic variables suitability China predicted suitable area trend under current future scenarios. The results showed that MaxEnt prediction was excellent. most crucial variable influencing distribution max temperature warmest month, followed annual mean temperature, precipitation, diurnal range, precipitation driest month. Under scenario, areas were widely distributed from south (Hainan) north (Heilongjiang) east (Yellow Sea) west (Tibet). highly 64.51 × 104 km2, accounting for 6.69% total land primarily located mainly southern central Henan, eastern Hubei, northern Anhui, Jiangxi, Hunan. moderately lowly accounted 17.45% 25.82%, respectively. Compared scenarios increased 0.10%–11.48% 0.08%–8.67%, while decreased 0.31%–23.03%. In addition, Henan. Heilongjiang, Jilin, Liaoning. This work practically significant optimizing regional layout cultivation response conditions.

Language: Английский

Citations

0