Can Ecological Zoning Act as an Environmental Management Tool for Protecting Regional Habitat Quality: Causal Evidence from the National Key Ecological Function Zone in China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143623 - 143623

Published: Sept. 1, 2024

Language: Английский

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Spatial resolution matters: unveiling the role of environmental predictors in English yew (Taxus bacata L.) distribution using MaxEnt modeling

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 29, 2025

Language: Английский

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Bias correction in species distribution models based on geographic and environmental characteristics

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102604 - 102604

Published: April 21, 2024

Correcting sampling bias in species distribution models (SDMs) is challenging. The difficulty lies accurately identifying and quantifying the scarcity of samples, which greatly impedes implementation correction. Current methods often adjust presence or background points within geographic environmental spaces to correct probability estimation SDMs. However, these may lead information loss, rely on subjective assumptions, separate geography environment when correcting for bias. This study proposes a novel easily implementable method termed "aggregation background." selects data based aggregation degree feature space, thereby approximating representation correction samples. We compared this new with other prevalent existing literature by analyzing ecological authenticity. Under varying biases sample sizes, filtering achieved more accurate predictions target group methods. Notably, size was small (≤70), superior that obtained using method. These findings underscore effectiveness improving limited available data, without relying assumptions about Our provides approach complex unknown

Language: Английский

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Study on the impact of reclamation and development of Yancheng coastal wetlands on the spatio-temporal evolution of wintering Anatidae habitat

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111892 - 111892

Published: March 1, 2024

As a World Natural Heritage Site primarily focused on protecting migratory bird habitats, the Yancheng coastal wetland is also an important land resource reserve area in China. With long history of reclamation, impact reclamation waterbird habitats has attracted widespread attention. Therefore, this study was based distribution data wintering Anatidae from 1987 to 2020 and data. The landscape development intensity (LDI) index MaxEnt model were used reveal spatiotemporal changes identify evolution characteristics habitats. A geographical weight regression (GWR) analyze local differences for results showed that types with higher increased rapidly 2020, overall pattern low northeast high southwest. high-intensity range 5.01 ∼ 6.00, western Dafeng Tiaozini generally greater than 8.01 2020. From population first decreased then increased, clear southward shift spatial distribution. evaluation suitable revealed most significantly declined 1280.76 hm2 1997 60.19 which indicated patch space high-quality further compressed. greatest positive habitat suitability concentrated near Beihuanchong area, while 2007, negative mostly distributed northern Hexin area. coefficient ranged −0.665 -0.513. deteriorated correlation ranging −1.642 -0.699. There significant environmental variables different periods. In study, protection restoration proposed, may provide reference populations structural wetlands.

Language: Английский

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The optimized Maxent model reveals the pattern of distribution and changes in the suitable cultivation areas for Reaumuria songarica being driven by climate change

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(7)

Published: July 1, 2024

Abstract Reaumuria songarica , a drought‐resistant shrub, is widely distributed and plays crucial role in the northern deserts of China. It key species for desert rehabilitation afforestation efforts. Using Maxent model to predict suitable planting areas R. an important strategy combating desertification. With 184 occurrence points 13 environmental variables, optimized has identified main limiting factors its distribution. Distribution patterns variation trends were projected current future climates (2030s, 2050s, 2070s, 2090s) different scenarios (ssp_126, ssp_370, ssp_585). Results show that setting parameters RM (regulation multiplier) = 4 FC (feature combination) LQHPT yields with good accuracy high reliability. Currently, primarily control eight provinces autonomous regions, including Inner Mongolia, Xinjiang, Qinghai, Ningxia. The total area 148.80 × 10 km 2 representing 15.45% China's land area. Precipitation (Precipitation wettest month, warmest quarter, Annual precipitation) Ultraviolet‐B seasonality are primary growth distribution . Mean temperature quarter factor driving changes under climate scenarios. In scenarios, will shrink, center shift towards higher latitude, potentially indicate further highly habitat increased, while moderately less have decreased. Increased precipitation within 's water tolerance range favorable reproduction. cultivation priority should be given exploring utilizing germplasm resources. Introduction can conducted expanding scientifically effective measures implemented protect resources contracting regions. findings this study provide theoretical basis addressing desertification resulting from change offer practical insights development, utilization, introduction,

Language: Английский

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Effect of climate change on potential distribution of Dactylorhiza hatagirea (D. Don) Soó in the twenty-first century across the north-western Himalayas

Folia oecologica, Journal Year: 2025, Volume and Issue: 52(1), P. 48 - 61

Published: Jan. 1, 2025

Abstract The populations of Dactylorhiza hatagirea are shrinking fast across the north-western Himalayas. Although effects contemporary anthropic factors on its distribution well documented, impacts anticipated climate change have not been evaluated. In present study, maximum entropy modelling (MaxEnt) was used to quantify impact D. over next 50 years under representative concentration pathways (RCP) 4.5 and 8.5, using ensemble mean four general circulation models, viz. CCSM4, CNRM, MRI, GFDL. results exhibited a fairly good model performance, with attaining highest suitability when ‘annual temperature’ precipitation’ peaks at ca. 11.5 °C 1,250 mm, respectively. variables greater influence (%) were annual precipitation (40.7), temperature wettest quarter (22.9), seasonality (16.6), (10.4). Under current climate, about 790 km 2 that spread Kashmir (274.1 km2) Jammu (210.5 ), Ladakh (305.6 ) identified as high potential habitat (HPH) areas. predicted showed for RCP HPH areas would decrease by 4.2 5.4%, 2050 2070, while RC P8.5 be 18.1 8.7%, shrinkage may more obvious tropical temperate regions, species gain new cold arid appears mild, but it exhibits specificity grows inherently slow, this insignificant enhance risk local extinction. Therefore, an integrated approach involving in-situ measures where disappear, ex-situ measures, expand, is hugely important.

Language: Английский

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A Different Destiny After the Ice Age: Impacts of Climate Change on the Global Biogeography of Carasobarbus

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100646 - 100646

Published: Feb. 1, 2025

Language: Английский

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Unraveling the Spatial Dynamics and Global Climate Change Response of Prominent Tropical Tree Species in Asia: Symplocos cochinchinensis and Beyond

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 715 - 715

Published: April 23, 2025

The tropical tree species Symplocos cochinchinensis plays a crucial role in ecological restoration and serves as resource for traditional medicine, dyeing, timber production. Assessing its distribution patterns adaptive responses to global climate change is essential maintaining ecosystems developing conservation strategies. This study elucidates the spatial projects potential geographic shifts of widely distributed S. under scenarios. A compilation data from local herbaria databases yielded 5050 occurrence records, covering majority native range tropics subtropics. We modeled species’ habitats using maximum entropy (MaxEnt) principle current, 2050, 2070 scenarios high-emission SSP585. Our analysis reveals that sampling bias substantially influences observed cochinchinensis. Predictions indicate decrease barely suitable an increase areas deemed highly suitable, suggesting stress niche shift towards with favorable microclimates “Precipitation Wettest Month” (Bio 13) “Mean Temperature Quarter” 8). findings reveal cochinchinensis’s resilience, offering valuable insights strategies management Southeast Asia, well reference response other common change.

Language: Английский

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Assessing the impact of climate change on the potential distribution of Keteleeria evelyniana Mast. in southwest China: a Maxent modeling approach

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: April 25, 2025

Keteleeria evelyniana Mast. , which is widespread in southwestern China, valuable for studying under different future climate scenarios to assess potential distribution shifts response warming. Understanding these changes can provide theoretical support species conservation, rational utilization, ecological restoration, and management of K. habitats. The Maxent model was optimized using the package ENMeval adjust Regularization Multiplier (RM) Feature Class Combinations (FC) parameters. Utilizing 221 effective points 33 environmental variables, current predicted, with key variables analyzed. FC = LQ RM 0.5, demonstrated low complexity, minimal overfitting, high accuracy, achieving an AUC value 0.946 a standard deviation 0.011. Under conditions, 68% suitable areas were focused on Yunnan Province, additional western Guizhou, Sichuan, southeastern Xizang Autonomous Region. In various scenarios, gradually decreased, maximum reduction 33%. Simultaneously, centroids are expected migrate northward by up km. Temperature dominant factor affecting its (77.8%), whereas effects soil altitude significant. This study clarified projected identified main factors distribution. These findings offer sustainable use .

Language: Английский

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Predicting the spread of invasive Imperata cylindrica under climate change: A global risk assessment and future distribution scenarios

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(5), P. e0321027 - e0321027

Published: May 9, 2025

Invasive plant species, such as Imperata cylindrica (cogongrass), threaten native ecosystems, natural resources, and lands worldwide. With climate change, the risk of invasions may increase more favorable conditions enable non-native species to spread into new areas. This study employs CLIMEX model predict potential distribution I. under current future scenarios, SRES A2 scenario. A comprehensive dataset comprising 6,414 occurrence records was used simulate species’ ecological niche based on key climatic parameters, including temperature soil moisture. Our results indicate that than 16% global land surface is currently highly suitable for (Ecoclimatic Index ≥ 30), with significant areas identified in Central America, Africa, Australia. Future projections scenario suggest an expansion habitats by 2050, 2080, 2100, particularly regions southern Argentina parts North while Africa experience a decrease suitability due rising temperatures. Sensitivity analysis revealed temperature-related parameters (DV0, DV1, DV2, DV3) are most influential determining distribution, highlighting critical role driving invasive . These findings provide valuable insights risks associated invasions.

Language: Английский

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