Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality

Ecological Indicators, Год журнала: 2023, Номер 158, С. 111491 - 111491

Опубликована: Дек. 29, 2023

Mainstreaming biodiversity into protection planning and management is of great significance for conservation sustainable development. Species potential distribution modeling an effective way species diversity evaluation hotspots identification, which are crucial conservation. Taking the Central Urban Area Chongqing Municipality as study area, main objectives this were to identify potentially suitable habitats, richness key protected in current future, determine relative contribution environmental factors assess effectiveness areas (PAs) based on MaxEnt model gap analysis. The results showed that habitats total mainly located "two rivers four mountains", with a area 1610.55 km2, forestland accounted 59.78 %. demonstrated clear topographic heterogeneity, index decreased at first then increased increasing terrain niche (TNI). Meanwhile, it was observed plants birds shared similar mountainous areas, overlapping 753.53 high covered 182.83 km2. In 2050, future would remain stable increase steadily. terms direction centroid shift, migrate low latitude, altitude southeast by 8.34 km. jackknife tests indicated determined land use, mean diurnal range TNI. Additionally, problems gaps coexisted existing PAs, comprehensive PAs only 446.96 Finally, suggestions natural system optimization ecological proposed. This provides scientific supports efficient management.

Язык: Английский

---

Mapping Impacts of Climate Change on the Distributions of Two Endemic Tree Species under Socioeconomic Pathway Scenarios (SSP)

Sustainability, Год журнала: 2023, Номер 15(6), С. 5469 - 5469

Опубликована: Март 20, 2023

Pistacia eurycarpa Yalt and khinjuk Stocks are two important endemic tree species inhabiting mountainous regions in Iraq. Their cultural, medical, ecological benefits have captured the interest of this study. Numerous researchers revealed how to what extent global climate change alters species’ habitats distribution. This approach aims quantify current future distribution these region provide baseline data on respond changing environment. Three socioeconomic pathway scenarios (SSP 126, 245, 585) general circulating models (GCMs), MIROC-ES2L BCC-CSM2-MR, been utilized examine probable geographical shift during different time periods (2041–2060, 2061–2080, 2081–2100). study used MaxEnt model geospatial techniques for: (i) anticipating present level distributions assessing impact possible distributions; (ii) estimating areas overlap; (iii) finding most significant environmental variables shaping their distributions, according 11 161 known localities. The findings that 30 out 36 modeling results showed range expansion both BCC-CSM2-MR with 16/18 for P. 14/18 khinjuk. overall expansions increase habitat suitability (mainly north northeast) were related precipitation wettest months, topography, soil type structure (i.e., Chromic Vertisols, Lithosols, Calcic Xerosols). These recent discoveries priceless new information forestry management efforts conservation plan Iraq, particularly overlapping highlands. Geospatial approaches correlation-based effective tools predicting spatial pattern mountain

Язык: Английский

---

Impacts of climate change and human activity on the potential distribution of Aconitum leucostomum in China

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168829 - 168829

Опубликована: Ноя. 28, 2023

Язык: Английский

---

The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction

BMC Plant Biology, Год журнала: 2024, Номер 24(1)

Опубликована: Апрель 11, 2024

Abstract Within a few decades, the species habitat was reshaped at an alarming rate followed by climate change, leading to mass extinction, especially for sensitive species. Species distribution models (SDMs), which estimate both present and future distribution, have been extensively developed investigate impacts of change on assess suitability. In West Asia essential oils T. daenensis kotschyanus include high amounts thymol carvacrol are commonly used as herbal tea, spice, flavoring agents medicinal plants. Therefore, this study aimed model these Thymus in Iran using MaxEnt under two representative concentration pathways (RCP 4.5 RCP 8.5) years 2050 2070. The findings revealed that mean temperature warmest quarter (bio10) most significant variable affecting . case , slope percentage primary influencing factor. modeling also demonstrated excellent performance, indicated all Area Under Curve (AUC) values exceeding 0.9. Moreover, based projections, mentioned expected undergo negative area changes coming years. These results can serve valuable achievement developing adaptive management strategies enhancing protection sustainable utilization context global change.

Язык: Английский

---

Predicting suitable habitats for Asian elephant (Elephas maximus) in Tropical Asia under changing climatic scenarios

Geography and sustainability, Год журнала: 2025, Номер unknown, С. 100279 - 100279

Опубликована: Фев. 1, 2025

Язык: Английский

---

Species distribution of Cannabis sativa: Past, present and future

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0306007 - e0306007

Опубликована: Март 13, 2025

Cannabis sativa L. is an annual flowering herb of Eurasian origin that has long been associated with humans. Domesticated independently at multiple locations different times for purposes (food, fiber, and medicine), these long-standing human associations have influenced its distribution. However, changing environmental conditions climatic fluctuations also contributed to the distribution species define where it optimally cultivated. Here we explore shifts in C. may experienced past likely future. Modeling under paleoclimatic scenarios shows niche expansion contraction Eurasia through timepoints examined. Temperature precipitation variables soil variable data were combined modeling present day showed high improved predictive ability together as opposed when examined isolation. The five most important explaining ~ 65% total variation organic carbon content (ORCDRC), pH index measured water solution (PHIHOX), mean temperature (BIO-1), coldest quarter (BIO-11) density (OCDENS) (AUC = 0.934). Climate model projections efforts are made curb emissions (RCP45/SSP245) business usual (RCP85/SSP585) models evaluated. Under projected future climate scenarios, worldwide predicted a loss 43% suitability areas scores above 0.4 observed by 2050 continued but reduced rates 2070. Changes habitat range large implications conservation wild relatives well cultivation industry moves toward outdoor practices.

Язык: Английский

---

Hyperparameter-tuned batch-updated stochastic gradient descent: Plant species identification by using hybrid deep learning

Ecological Informatics, Год журнала: 2023, Номер 75, С. 102094 - 102094

Опубликована: Март 31, 2023

Язык: Английский

---

Species distribution models of Brant's oak (Quercus brantii Lindl.): The impact of spatial database on predicting the impacts of climate change

Ecological Engineering, Год журнала: 2023, Номер 194, С. 107038 - 107038

Опубликована: Июнь 29, 2023

Язык: Английский

---

Species distribution models to predict the potential niche shift and priority conservation areas for mangroves (Rhizophora apiculata, R. mucronata) in response to climate and sea level fluctuations along coastal India

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110631 - 110631

Опубликована: Июль 14, 2023

Mangroves are more than just a tree as they home to thousands of species, carbon absorbers and natural coastal fortress against floods storm surges. Hence, conservation planning decision making for this valuable ecosystem must involve identification priority areas (PCAs) at species-specific dimensions. In the present study, we adopted an ensemble modelling approach distribution two mangrove species (Rhizophora apiculata, Rhizophora mucronata) using high-resolution environmental edaphic datasets, identify PCAs future conservation. We also identified key variables shaping their precisely estimated core distributional shift along Indian coastline under changing climate scenario. The findings revealed that about 5844 km2 7846 were extremely suitable areas, which distributed Maharashtra coast Kerala R. mucronata respectively, in current apiculata was found be mostly shaped by mean diurnal range annual temperature, whereas primarily temperature altitude. highest expansion occurred during middle Holocene due high precipitation sea-level rise finding is further supported fossil pollen evidence. habitat predicted increase RCP2.6 scenario 6.90% 6.93% RCP8.5 9.33% 9.90% year 2050 2070, getting reduced Overall, our predictions reveal steady migration conducive towards land or higher elevations relative sea level future. These results would aid long-term management strategy India.

Язык: Английский

---

Sub-alpine shrub classification using UAV images: Performance of human observers vs DL classifiers

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102462 - 102462

Опубликована: Янв. 9, 2024

In recent years, the automatic analysis of natural environment images acquired with unmanned aerial vehicles (UAV) has rapidly gained popularity. UAVs are specially important in mountainous forests where access is difficult and large areas need to be surveyed. Zao mountains northeastern Japan, regenerated fir saplings competing sub-alpine vegetation shrubs after a severe tree mortality caused by bark beetle infestation. A detailed survey distribution key improve our understanding species succession influence climate change that process. To end, we evaluated suitability deep-learning-based image classification UAV order map potential regeneration. assess contribution this technology research field, first conducted an observer study difficulty for humans task classifying from images. Afterwards, compared observers' accuracy four state-of-the art deep learning networks classification. The best 55% demonstrates limitations using only Furthermore, sources error showed even though could differentiate between deciduous evergreen 96%, identifying correct within each group proved much more challenging. contrast, achieved values range 70–80% classification, clearly demonstrating capabilities beyond human experts. Our experiments also indicated performance these was significantly influenced similarity datasets used fine-tune them evaluate them. This fact highlights importance building publicly available databases further results. Nevertheless, results presented paper show UAV-acquired can usher new type large-scale study, spanning tenths or hundreds hectares high spatial resolution (of few cms per pixel), providing ability challenging dynamics problems go conventional fieldwork methodologies.

Язык: Английский

---