Human and natural factors affect habitat quality in ecologically fragile areas: evidence from Songnen Plain, China DOI Creative Commons

Xiuli Sun,

Yuehui Li,

Yuanman Hu

et al.

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

Published: Nov. 19, 2024

Habitat quality (HQ) has been progressively degrading worldwide in recent decades due to rapid climate change and intensive human activities. These changes not only threaten biodiversity ecosystem functions, but also impact socio-economic development. Therefore, a few studies have focused on the dynamics of HQ its natural anthropogenic drivers. However, many contributions failed reveal how these factors interact HQ, especially ecologically fragile areas. We estimated Songnen Plain Northeast China, an area, from 2000 2020 using InVEST model explored response interactions (topography, climate, NDVI) (nighttime light index, population density) influencing Structural Equation Modelling (SEM). The results showed that 1) decreased constantly 2018, then increased slightly 2018 2020. 2) In terms spatial distribution, appeared be highly heterogeneous with pattern 'high east - low center high west' at each time point. high-HQ areas were significantly clustered eastern parts dense forests, while low-HQ central dominated by large number man-made patches agriculture towns or cities. 3) patterns are mainly affected including environment disturbance. Natural had greater than disturbance, disturbance significant negative among all 4 points. Furthermore, intensity various habitat quality, as well positive effects drivers changed over time. most important factor was temperature topography 2010, This study can provide suggestions for future ecological protection restoration similar

Language: Английский

Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia DOI Creative Commons
Junmei Kang, Fengshuo Yang, Jun Wang

et al.

Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

Abstract Exploring the coupling relationship of “pattern–process–quality” is conducive to understanding internal mechanism habitat quality change, and great significance for function maintenance sustainable management regional ecosystems. Existing studies mainly analyze spatial-temporal evolution from perspective “pattern quality” land use data. However, variation in result many factors such as habitat. Therefore, it necessary consider these comprehensively when studying change quality, so understand more deeply. This study takes Cambodia, a tropical monsoon climate region, research area, uses cover data 2000 2022 source. InVEST model used explore between use, landscape pattern, ecological process. The results show that (1) during 2000–2022, forest Cambodia covered wide range, showing pattern distributed east west. (2) degree fragmentation impervious increased gradually 2022, indicating was seriously affected by human activities natural factors, with increase elevation slope, area various types converted decreased. (3) During high areas were concentrated Tonle SAP Lake east, southwest, central part while low part. (4) Natural socio-economic policies, regulations all have an impact on Cambodia.

Language: Английский

Citations

1
Simulation of Spatial and Temporal Dynamics in Habitat Quality amid Rapid Urbanization based on Random Forest Algorithm: A Lingui District, Guilin City Case Study DOI Creative Commons
Xiaoyan Zhang, Hanxin Liu, Xin Yang

et al.

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 617, P. 03003 - 03003

Published: Jan. 1, 2025

Territorial space planning policies profoundly influence land use alterations, subsequently impacting regional habitat quality. Habitat quality epitomizes the capacity to sustain biodiversity. The acceleration of human activities and urban construction expansion foregrounds as a pivotal aspect ecological diversity conservation sustainable development scholarship. Analyzing spatial temporal fluctuations furnishes an ecological, scientific foundation for territorial strategy. This study, centering on rapidly urbanizing Lingui District, assesses forecasts conversion evolution from 2000 2030, using random forest algorithm, employing data 2000, 2010, 2020 through integrated application PLUS- InVEST model. Furthermore, it explores differentiation, spatiotemporal pattern characteristics, determinants in District by amalgamating statistical autocorrelation methodologies.

Language: Английский

Citations

1
Coupled InVEST–MGWR modeling to analyze the impacts of changing landscape patterns on habitat quality in the Fen River basin DOI Creative Commons

Juemei Wu,

Yanjun Hou,

Zheng Cui

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 7, 2024

Abstract The present study employed remote sensing images of the Fen River Basin from 2005, 2010, 2015, and 2020 as primary data source. software ENVI, ArcGIS, Fragstats 4.2 were utilized to measure landscape pattern index Basin. A collinearity test was conducted remove any redundant indices. Based on selected indices, values ascertained follows. Using shifting window method, obtained. Second, habitat quality in assessed using InVEST model, spatial autocorrelation approach confirm that spatially autocorrelated. Finally, impacts indices examined MGWR model. results show (1) Basin's overall declined between 2005 2020; however, deterioration slowed with time had a typical "poor middle high around margins" distribution. low-value area continued increase, lower-value decreased annually, middle-value then increased, higher-quality tended decrease, increase again, high-quality annually. (2) fit model greater than those OLS traditional GWR models, it able more clearly illustrate various roles play one another. (3) Changes patterns major impact quality; positively impacted by PD AI, negatively MESH, positive negative bidirectional effects CONTAG AI.

Language: Английский

Citations

7
Changes in habitat quality and their driving forces in the coastal zone of Hainan Island: Insights from 20 years of research and future projections DOI

Jinlin Lai,

Qi Shi, Jiadong Chen

et al.

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

Published: Feb. 1, 2025

Language: Английский

Citations

0
Impact of Climate Change on the Narrow Endemic Herb Psilopeganum sinense (Rutaceae) in China DOI Creative Commons

Ruixiong Deng,

Kaitong Xiao,

Xin Chen

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 28, 2025

ABSTRACT Psilopeganum sinense is a perennial herb endemic to the Three Gorges Reservoir Area (TGRA) of Yangtze River and its surrounding regions. This species crucial for ecological conservation regional socioeconomic development. Recent extreme weather events in TGRA have directly indirectly caused local losses numerous wild populations P. . Given severe survival crisis induced by climate change, it essential explore effects change on potential distribution Although there general awareness adverse various species, lack comprehensive studies focusing long‐term detailed climatic variables influencing In this study, we aimed use random forest (RF) algorithm analyze redistribution across several critical periods. The results indicated that main limiting present geographical were precipitation seasonality mean diurnal range. Currently, mainly distributed riparian zone areas, exhibiting relatively narrow niche habitat fragmentation pattern. Historically, distributions under past conditions intact more extensive than current area. During last interglacial period, broad highly suitable areas was observed eastern Sichuan Province, northern Chongqing, central Hubei continuous Future scenarios projected 32.84% decrease RCP4.5–2050s. corridors established habitats would fragment gradually separate. Some previously unsuitable could transform into potentially because change; however, these might exhibit fragmented discrete patterns. general, both shrinkage compress already limited space , leading some prematurely confront decisions pressures. Our not only provide scientific basis managing resources context but also serve as an important reference restoring populations.

Language: Английский

Citations

0
Exploring the Spatial and Temporal Correlation Between Habitat Quality and Habitat Fragmentation in the West Qinling Mountains, China DOI Open Access
Caihong Hui, Xuelu Liu, Xiaoning Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3256 - 3256

Published: April 5, 2025

In recent decades, with the acceleration of industrialization and urbanization, contradiction between resource development environmental protection has become more prominent. Scientific simulation spatial temporal correlation habitat quality (HQ) fragmentation at a suitable scale is great significance for maintaining stability regional ecosystems achieving high-quality development. This study took West Qinling Mountains as an example, where, firstly, appropriate grid was determined based on HQ, evolution characteristics HQ were analyzed from 2000 to 2020 InVEST model GeoDa software. Secondly, process simulated three characteristic dimensions area, shape, distribution. Finally, GWR used explore mechanism HQ. The results showed following: (1) 3 km evaluation analysis in Mountains, effect consistent across years. (2) degree higher level, 2020, it decreasing trend, clear phenomenon bipolar sharpening. distribution pattern “high west low east, north high south”, exhibited obvious double clustering characteristics. (3) medium increasing contraction state. east west, overall retained change time scale. (4) effects significant non-stationary non-linear negative correlation. From gradually increased, staggered forest, unused land, water might offset impact land could provide scientific evidence optimization ecological patterns prevention control Mountains.

Language: Английский

Citations

0
Assessing the spatiotemporal characteristics and driving factors of habitat quality in sustainable development demonstration zones: a case study of Guilin City, China DOI Creative Commons
Jian Zhong Xu,

Deqin Fan,

Fangzhen Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 24, 2025

Guilin City, located in a typical karst landform area China, is one of the sustainable development demonstration zones. Evaluating habitat quality City and exploring its driving factors are helpful formulating effective measures for development. Based on Integrated Valuation Ecosystem Servicesand Tradeoffs (InVEST) model combined methods such as spatial autocorrelation analysis, Geographical detector Geographically weighted regression (GWR) model, this study evaluated from 2001 to 2022. The also analyzed spatiotemporal characteristics their possible factors. results indicate that: (1) average was 0.59, with 47.98% classified having good or excellent quality; however, has shown downward trend over past 22 years. (2) Moran’s I values were all greater than 0.8, indicating significant positive correlation clustering. Among these, low–low aggregation regions largest, whereas high–high showed most decrease. (3) Elevation factor affecting differentiation Guilin. interactions between various stronger those any single factor, exhibiting dual-factor enhancement effect. This highlights complexity comprehensive impact multiple changes provides scientific basis policy recommendations ecological protection within national agenda’s innovative

Language: Английский

Citations

0
Effects of Different Tillage Years on Soil Composition and Ground-Dwelling Arthropod Diversity in Gravel-Sand Mulching Watermelon Fields DOI Creative Commons
Haixiang Zhang,

Ziyu Cao,

Yifan Cui

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1841 - 1841

Published: Aug. 20, 2024

Arthropods play a crucial role in ecological processes and agricultural productivity. Soil physicochemical properties, indicators of soil health, are closely linked to arthropod communities. Gravel-sand mulching, commonly employed arid farming, initially enhances water retention temperature regulation but may contribute land degradation with prolonged use. This study investigated how varying tillage durations affected properties diversity under gravel-sand mulching. The analysis multiple comparison methods, covariance (ANCOVA), non-metric multidimensional scaling (NMDS), redundancy (RDA). results indicated that while fertility was better preserved cultivated fields compared the desert grassland, significantly decreased longer cultivation periods. A total 1099 arthropods from 79 species were sampled, by Barber trap. highest observed native grassland (NG), 305 39 species, 21 years (GPS-21Y) exhibited lowest diversity, only 103 6 species. Dominant included carnivores Labidura japonica Cataglyphis aenes. revealed low similarity communities between GPS-21Y other high NG transition zone (STZ). RDA showed available potassium (APP) negatively correlated concentration, Nitrogen (TN) positively phosphorus (TP) concentration. provides insights into relationship maintaining supporting agriculture. While correlated, continuous cropping practices impacted offering valuable information for pest management sustainable practices.

Language: Английский

Citations

1
Spatial Patterns and Driving Forces of Past and Future Habitat Quality on Hainan Island, China DOI

Jinlin Lai,

Jiadong Chen, Qi Shi

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Variation in plant functional traits explains the substitution distribution and allocation strategy of Stipa species across natural grasslands of Ningxia, Northern China DOI Creative Commons
Jun Yang, Wei Li,

Junlong Yang

et al.

Ecology and Evolution, Journal Year: 2024, Volume and Issue: 14(8)

Published: Aug. 1, 2024

Abstract Functional traits reflect plants' adaptability to their environment, and environmental gradients influence distribution. But few studies have investigated the link between these species substitution patterns or relevant ecological factors. We measured aboveground (leaf) belowground (root) functional of Stipa in 17 plots across natural grasslands Ningxia Northern China. Redundancy analysis was used explore relationships 's its Then, on gradient, principal component (PCA) verify quantify leaf economic spectrum (LES), root (RES), whole‐plant (WPES), with relation spectra by fitting standardized major axis regressions. The effects aboveground, belowground, factors were quantified ranked variance decomposition hierarchical partitioning. Our results showed that drive distribution species, being variously coupled desert, typical, meadow steppe habitat types. leaf, root, desert exhibit a “quick investment‐acquisition” strategy. In typical steppe, correspond “fast strategy, whereas adopts “slow On similarly adopt Finally, when considering involved, we find spp. is chiefly response shifting soil patterns, mainly driven total nitrogen nitrogen/phosphorus ratio. Collectively, findings provide an important reference for restoration reconstruction grassland ecosystems, better understand relationship plant niche attributes, thus guide reasonable vegetation.

Language: Английский

Citations

0