Species richness prediction and priority conservation planning for rare Michelia species in China DOI Creative Commons

Janet S. C. Tang,

Zhi Chen, Xiaojie Yin

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Abstract Numerous species are at risk of extinction due to habitat degradation caused by human activity and global warming. Using the optimized MaxEnt Marxan models, we investigated relationship between richness various factors predicting rare Michelia based on distribution data natural ecological in China. Additionally, national nature reserves parks were overlaid with priority conservation zones having irreplaceability values ranging from 80 100 identify gaps. The findings indicate that found southern Yunnan Province, which exhibits highest concentration. high expected shrink 0.62×104km2 under future climate scenarios. Northern latitudes higher altitudes offer better habitats for majority species. With intensification change, it is anticipated this migration will exceed 150 km. Priority primarily located southeastern part Tibet Autonomous Region, south-central central Sichuan western Chongqing Municipality, Guizhou northern Guangxi Zhuang Hunan Guangdong eastern parts Jiangxi northwestern Fujian Zhejiang Taiwan southwestern Hainan Province. These account only 0.86% land area China, 6.6×104km2 prioritized not yet designated as or parks. To effectively embody principle 'green mountains golden mountains,' recommend expanding within enhancing measures.

Language: Английский

A conceptual framework for constructing and evaluating directed ecological networks: Evidence from Wuhan Metropolitan Area, China DOI

Yanchi Lu,

Dan Huang,

Zhaomin Tong

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 106, P. 107464 - 107464

Published: Feb. 28, 2024

Language: Английский

Citations

15
Potential Suitable Habitats of Chili Pepper in China under Climate Change DOI Creative Commons

Changrong Deng,

Qiwen Zhong,

Dengkui Shao

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(7), P. 1027 - 1027

Published: April 4, 2024

Chili pepper (Capsicum annuum L.) is extensively cultivated in China, with its production highly reliant on regional environmental conditions. Given ongoing climate change, it imperative to assess impact chili cultivation and identify suitable habitats for future cultivation. In this study, the MaxEnt model was optimized utilized predict open-field cultivation, changes these were analyzed using ArcGIS v10.8. Our results showed that parameter settings of optimal FC = LQPTH RM 2.7, critical variables influencing distribution annual mean temperature, isothermality, maximum temperature warmest month, precipitation quarter. Under current conditions, distributed across all provinces moderately- highly-suitable concentrated east Qinghai–Tibetan Plateau south Inner Mongolia Plateau. scenarios, area expected be larger than ones, except SSP126-2050s, reached under SSP126-2090s. The overlapping various scenarios. 2050s, centroids predicted shift towards southwest, SSP126, whereas trend reversed 2090s. suggest warming conductive pepper, provide scientific guidance introduction face warming.

Language: Английский

Citations

10
Adaptive Distribution and Vulnerability Assessment of Endangered Maple Species on the Tibetan Plateau DOI Open Access
Huayong Zhang,

Pengfei Sun,

Hengchao Zou

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(3), P. 491 - 491

Published: March 6, 2024

Climate change has had an almost irreversible impact on the distribution patterns of tree species Tibetan Plateau, driving some vulnerable to brink extinction. Therefore, it is important assess vulnerability in climate-sensitive areas under following three IPCC-CMIP6 scenarios: SSP126, SSP370, and SSP585. The MaxEnt model was used predict adaptive for one endangered (Acer wardii W. Smith (A. wardii)) six maple plants Plateau current future conditions. We then evaluated their using landscape fragmentation index. Our results showed that were mainly distributed southeast Plateau. dominant factors affecting temperature annual range (BIO7) Acer sikkimense Miq. sterculiaceum Wall.; precipitation (BIO12) cappadocicum Gled.; driest month (BIO14) pectinatum Wall. ex G. Nicholson, taronense Hand.-Mazz., A. wardii; subsoil clay fraction (S_CLAY) campbellii Hook.f. & Thoms. Hiern campbellii) Under scenarios, area shifted northwest, habitat suitability increased northwestern part areas. In SSP370 scenario, all seven increase areas, while certain decreased periods SSP126 SSP585 scenarios. status likely be even more fragile are may face extinction, requiring immediate attention protection. contrast, remaining five decreased. conclusion, this study provides recommendations conserving data support understanding distributional changes assessment these species.

Language: Английский

Citations

9
Impact of Spatial Evolution of Cropland Pattern on Cropland Suitability in Black Soil Region of Northeast China, 1990–2020 DOI Creative Commons

Long Kang,

Kening Wu

Agronomy, Journal Year: 2025, Volume and Issue: 15(1), P. 172 - 172

Published: Jan. 12, 2025

Agricultural land resources are essential for food production, and thus it is vital to examine the spatiotemporal changes in these their impacts on suitability optimize resource allocation. In this study, we investigated spatial evolution of cropland through use change analysis by utilizing four periods data from 1990 2020 black soil region northeast China (BSRNC). Employing niche theory, developed a cultivability evaluation model tailored BSRNC, which was used assess impact patterns over past 30 years suitability. Our key findings as follows: (1) Cropland have generally tended expand with an increase 7.16 × 103 km2 cultivated area northeastward shift center 52.94 km, indicating significant configuration land. (2) The region’s cultivable were substantial, covering 694.06 km2, or 55.78% total area, notable variability, influenced regional climate topography. (3) has slightly improved, shown 0.10 index, but declining trend observed after 2000. provide valuable insights help accurately productivity BSRNC facilitate sustainable conservation soil.

Language: Английский

Citations

1
Analysis of the distribution pattern of the ectomycorrhizal fungus Cenococcum geophilum under climate change using the optimized MaxEnt model DOI Creative Commons

Yexu Zheng,

Chao Yuan, Norihisa Matsushita

et al.

Ecology and Evolution, Journal Year: 2023, Volume and Issue: 13(9)

Published: Sept. 1, 2023

(

Citations

18
Effects of environment and human activities on rice planting suitability based on MaxEnt model DOI

Saiji Heng,

Na Li,

Qiliang Yang

et al.

International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: 68(11), P. 2413 - 2429

Published: Aug. 19, 2024

Language: Английский

Citations

4
Crop suitability analysis for the coastal region of India through fusion of remote sensing, geospatial analysis and multi-criteria decision making DOI Creative Commons

Nishtha Sawant,

Bappa Das, Gopal Ramdas Mahajan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 13, 2025

Abstract Crop suitability analysis plays an important role in identifying and utilizing the areas suitable for better crop growth higher yield without deteriorating natural resources. The present study aimed to identify rice coconut cultivation across coastal region of India using analytic hierarchy process (AHP) integrated with geographic information systems (GIS) remote sensing. A total nine parameters were selected including elevation, slope, soil depth, drainage, texture, pH, organic carbon, rainfall, temperature a land use cover (LULC) constraint map. This represents first-ever application approach combining AHP, GIS, sensing entire India. weights subclasses assigned AHP method based on experts’ opinions. Subsequently, all thematic maps overlaid weighted overlay generate Separately, LULC mask map was used extract create crop-specific maps. final classified into four different classes: highly suitable, moderately marginally not production. findings revealed that approximately 13.68% area around 19.26% 18.35% being respectively, 13.76% cultivation. Similarly, cultivation, 11% 27.40% 18.34% suitable. However, about 35% deemed permanently unsuitable any type validated under receiver operating characteristic curve (AUROC). AUROC values found be 0.764 0.740 indicating high accuracy. By strategically cultivating locations identified current study, other crops, it is possible achieve financial viability agricultural production by increasing causing harm

Language: Английский

Citations

0
Spatio-temporal pattern evolution and regulatory zoning of suitability for farmland scale utilization in China based on multi-source data DOI Creative Commons
Feng Tang, Li Wang,

Meichen Fu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112475 - 112475

Published: Aug. 14, 2024

Language: Английский

Citations

3
Spatial and temporal distribution patterns and conservation status of seagrasses in the Yellow Sea and Bohai Sea DOI

Ming Wang,

Weimin Wang, Yongjian Ding

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 964, P. 178601 - 178601

Published: Jan. 24, 2025

Language: Английский

Citations

0
Mining-induced displacement and livelihood restoration: A data-driven approach DOI Creative Commons

Ingrid Ahmer,

Bertram Ostendorf

Resources Policy, Journal Year: 2025, Volume and Issue: 103, P. 105515 - 105515

Published: March 6, 2025

Language: Английский

Citations

0