Quantifying the Ecological Performance of Migratory Bird Conservation: Evidence from Poyang Lake Wetlands in China DOI Creative Commons
Zhenjiang Song,

Shichao Gao,

Mingni Leng

et al.

Biology, Journal Year: 2024, Volume and Issue: 13(10), P. 786 - 786

Published: Sept. 30, 2024

Protected areas are essential for the conservation of biodiversity. However, rapid expansion urbanization and intensification human activities have significantly disrupted environmental integrity, leading to a continuous deterioration in both quantity quality large ecological patches. This has further diminished connectivity among patches, significant consequences regional biodiversity conservation. Taking Poyang Lake as case study, which serves crucial wintering habitat migratory birds along East Asia-Australasia flyway, this research employs ArcMap technology. It considers various factors including land use type, slope, elevation evaluate degradation through application InVEST model. Additionally, study utilizes minimum cumulative resistance (MCR) model alongside circuit theory delineate corridors within area establish comprehensive network system. The results paper follows. (i) During period from 2000 2020, there was an overall decline area, indicating clear trend degradation. it is worth noting that increase certain local protected area. (ii) values core bird reserve generally low. habitats shown consistent 2020. been decrease density during time period. (iii) Over number decreased their integrity functionality degraded. Consequently, weakened role had implications maintaining ecosystem service functions. findings indicate two conclusions. Ecological habitats. Strengthening control measures aimed at expanding can effectively safeguard flagship umbrella species, thereby promoting establishment help reconcile conflicts between efforts development objectives. reconciliation carries theoretical fostering harmonious coexistence humans Lake's sanctuary.

Language: Английский

Enhancing ecological network establishment with explicit species information and spatially coordinated optimization for supporting urban landscape planning and management DOI

Zhou Shen,

Haiwei Yin, Fanhua Kong

et al.

Landscape and Urban Planning, Journal Year: 2024, Volume and Issue: 248, P. 105079 - 105079

Published: April 13, 2024

Language: Английский

Citations

17
Understanding sustainability of woody species suitability zones on the Loess Plateau for optimal creation zone selection in response to future climate change DOI

Haihong Qiu,

Hairong Han, Xiaoqin Cheng

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124239 - 124239

Published: Jan. 29, 2025

Language: Английский

Citations

1
Evaluating the impact of ecological factors on the quality and habitat distribution of Lonicera japonica Flos using HPLC and the MaxEnt model DOI Creative Commons
Jiali Cheng, Fengxia Guo,

Liyang Wang

et al.

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

Published: Aug. 6, 2024

The quality of traditional Chinese medicine is based on the content their secondary metabolites, which vary with habitat adaptation and ecological factors. This study focuses

Language: Английский

Citations

6
An integrated urban flooding risk analysis framework leveraging machine learning models: A case study of Xi'an, China DOI
Wen Li, Rengui Jiang, Hao Wu

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 112, P. 104770 - 104770

Published: Aug. 23, 2024

Language: Английский

Citations

5
Modeling the Impacts of Climate Change on Potential Distribution of Betula luminifera H. Winkler in China Using MaxEnt DOI Open Access

Qiong Yang,

Yangzhou Xiang,

Suhang Li

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(9), P. 1624 - 1624

Published: Sept. 14, 2024

Betula luminifera H. Winkler, a fast-growing broad-leaved tree species native to China’s subtropical regions, possesses significant ecological and economic value. The species’ adaptability ornamental characteristics make it crucial component of forest ecosystems. However, the impacts global climate change on its geographical distribution are not well understood, necessitating research predict potential shifts under future scenarios. Our aims were forecast impact suitable B. across China using MaxEnt model, which is recognized for high predictive accuracy low sample data requirement. Geographical coordinate points collected from various databases verified redundancy. Nineteen bioclimatic variables selected screened correlation avoid overfitting in model. model was optimized ENMeval package, evaluated Akaike Information Criterion Correction (delta.AICc), Training Omission Rate (OR10), Area Under Curve (AUC). predicted current scenarios based Shared Socio-economic Pathways (SSPs). demonstrated with an AUC value 0.9. dominant environmental influencing annual precipitation, minimum temperature coldest month, standard deviation seasonality. habitat area location significantly different scenarios, complex dynamics expansion contraction. centroid also migrate, indicating response changing climatic conditions. findings underscore importance optimization enhancing provide valuable insights development conservation strategies management plans address challenges posed by change.

Language: Английский

Citations

5
Assessment of the potential habitat suitability and ephedrine quality of two Ephedra species in China under climate change DOI
Xiaowei Li, Xian Gu,

Fuying Mao

et al.

Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology, Journal Year: 2024, Volume and Issue: 158(3), P. 479 - 489

Published: March 12, 2024

Ephedra sinica and intermedia are important medicinal plants critical raw materials for ephedrine extraction in the pharmaceutical industry. Climate change will affect their distribution quality. In our study, information on E. was collected through wilderness online surveys. Using high-performance liquid chromatography, we determined contents of pseudoephedrine. We then utilized maximum entropy model to assess potential impact future climate quality two Ephedra. The results showed that species were predominantly found arid semiarid regions northern China. suitable habitats area be severely degraded under RCP 2.6, 4.5 8.5 conditions opposite. accumulation chemical components depends precipitation wettest month (Bio13) soil sand content, while mean temperature warmest quarter (Bio10) seasonality (Bio15). Overall, research provide basis high-quality conservation sustainable resource development.

Language: Английский

Citations

4
Prediction of Potential Distribution Patterns of Three Larix Species on Qinghai-Tibet Plateau under Future Climate Scenarios DOI Open Access

Xiu An,

Tousheng Huang, Huayong Zhang

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(5), P. 1058 - 1058

Published: May 21, 2023

How climate change affects the plants on Qinghai-Tibet Plateau (QTP) has become a hot research topic in recent years. It was widely recognized that Larix. are sensitive to change, while corresponding of QTP been rare. Using maximum entropy (MaxEnt) model, we predicted potential distribution patterns Larix potaninii Batalin, griffithii and speciosa this study under different future scenarios. The results demonstrated area suitable habitat for Batalin (Larix griffithii) presented loss (gain) trend, remained unchanged whole. centroids their habits all migrated high-altitude high-latitude areas, suggesting three species may take same survival strategy response change. Annual Precipitation most significant environmental factor influencing pattern Temperature Range speciosa. overlapping 2041–2060 SSP126 scenarios decreased with increasing emission concentration, niches these step towards separation. This suggested strategies findings provide reliable basis conserving endangered

Language: Английский

Citations

11
Climate change drives elevational gradients in Sorbus domestica L. habitat DOI Creative Commons

Qianjiang Li,

Z. Li,

Bohao He

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Abstract Climate change poses a significant threat to biodiversity, influencing habitat distribution and survival of forest tree species. The True Service Tree (Sorbus domestica L.), temperate species with ecological economic importance, faces uncertain prospects for adaptation under future climate conditions. This study utilizes models (SDMs) various environmental variables assess shifts in migration trends current scenarios (SSP2-4.5 SSP5-8.5). Results indicate that the extreme SSP5-8.5 scenario, average altitude suitable habitats could rise by approximately 160 meters 2100, highlighting potential higher altitudes as an loss pressures. However, it remains whether this upward shift can keep pace rapid rate change. Additionally, identifies mean temperature driest quarter critical limiting factor suitability, underscoring temperature’s pivotal role shaping species’ distribution. By integrating climate, landscape, elevation variables, quantifies relative importance factors determining across different scenarios. Including landscape such soil organic carbon, land cover type, clay content significantly improved model accuracy, emphasizing their influence on quality plant survival. research provides scientific basis conservation S. under conditions, offering practical reserve planning management. addressing gaps understanding high-altitude adaptations species, also valuable insights conserving other advancing climate-adaptive strategies biodiversity.

Language: Английский

Citations

0
Predicting Potential Suitable Habitats of Three Rare Wild Magnoliaceae Species (Michelia crassipes, Lirianthe coco, Manglietia insignis) Under Current and Future Climatic Scenarios Based on the Maxent Model DOI Creative Commons
Yu Fan,

Weihao Yao,

Zenghui Wang

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(4), P. 506 - 506

Published: Feb. 7, 2025

In recent years, the impacts of climate change and human activities have intensified loss fragmentation habitats for wild rare Magnoliaceae. Predicting potential future on suitable habitat distribution endangered Magnoliaceae species is great significance their conservation application. This study employs optimized MaxEnt model to investigate current three (Michelia crassipes, Lirianthe coco, Manglietia insignis). The dominant environmental variables influencing were also explored. results showed following: (1) range currently span from 92-122° N 19-36° E. Variables associated with temperature (bio2, bio9, bio4) altitude (Ele) significantly influence these species, precipitation (bio17) ultraviolet radiation (UVB4) playing a minor role. warm humid in central southern China highly conducive growth. (2) Under SSP126 scenario, after mid-21st century, area Michelia crassipes has undergone fluctuating trend initial increase followed by decrease, reducing 51.84 × 104 km2 2090. On other hand, both areas coco insignis show an upward trend. SSP245 SSP585 scenarios, total gradually decrease. (3) We compared priority protection existing Protected Areas (PAs) gap analysis; 96.84% are lacking effective protection. (4) centroid constantly moving western China. order address fragmentation, it recommended that natural reserves be expanded ecological corridors established future, preferably according predicted protected refuges or species. Overall, findings provide valuable insights preservation, stewardship, utilization under circumstances projected global change.

Language: Английский

Citations

0
Spatiotemporal Dynamics of Ilex macrocarpa Distribution Under Future Climate Scenarios: Implications for Conservation Planning DOI Open Access
Ying Liu,

Qiong Yang,

Suhang Li

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 370 - 370

Published: Feb. 18, 2025

Identifying ecological distribution responses to climate change is pivotal for preserving biodiversity. Ilex macrocarpa, a deciduous tree of the Aquifoliaceae family, has considerable and medicinal benefits. This study investigated impact on potential I. macrocarpa using MaxEnt modeling GIS analysis. We analyzed 562 occurrence records against 19 bioclimatic variables, subsequently refined 7 key predictors through Pearson correlation analysis (|r| ≤ 0.75). The model demonstrated high predictive accuracy (AUC = 0.902 ± 0.010). Annual precipitation (67.9% contribution) minimum temperature coldest month (18.4% emerged as primary determinants distribution. Currently, suitable habitats occupy 252.97 × 104 km2 (26.35%) total land area China, with highly areas (72.82 km2) predominantly found in southern China. Under future scenarios, substantial shifts are projected: SSP126 shows 21.7% reduction by 2050, followed 9.1% recovery 2090; SSP245 indicates 13.4% 2050 minimal subsequent change; SSP585 demonstrates most severe impact, 32.0% 2090. Habitat centroid reveals significant northeastward under (116.23 km 2090), variable movements SSP245, southwestern displacement (143.23 2090). These findings suggest differential across implications conservation planning management strategies.

Language: Английский

Citations

0