A New Paradigm for Assessing Detailed Dynamics of Forest Landscape Fragmentation DOI Open Access

Xin Lin,

Shiyong Zhen,

Qing Zhao

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(7), P. 1212 - 1212

Published: July 12, 2024

There is an urgent need for a thorough assessment of forest landscape fragmentation to inform protection and restoration, reforestation policies. However, there currently lack effective comprehensive index fragmentation, detailed knowledge the dynamics remains insufficient. Here, taking Putian City Fujian Province in Southeastern China as case, we employed (FFCI) capture key features such patch size, number, distribution. Then, bivariate spatial autocorrelation analysis was identify associations between static dynamic (ΔFFCI), coupling modes among three individual components FFCI (mean area, MPA; aggregation index, AI; density, PD) were identified explore detail process fragmentation. Finally, random model applied observe impact factors dynamics. The findings showed that landscapes with different degrees exhibited more noticeable changes at both ends (i.e., either high or lower-level fragmentation), intermediate level remaining consistent from 2000 2020. Around 18.3% experienced decrease particularly northern part study while approximately 81.7% increasing trend indicated proportion Low–High-type grids highest 17.3%, followed by High–High type 7.0%. We also eight modes, which indicate most significant pattern MPA increase PD. Moreover, anthropogenic (e.g., population density night light intensity) found dominate during 2000–2020. This offers efficient research paradigm outcomes are conducive in-depth comprehension information supply scientific foundation enhancing overall ecological service function forest.

Language: Английский

Characteristics of drought propagation and effects of water resources on vegetation in the karst area of Southwest China DOI
Ying Liu,

Fuzhen Shan,

Hui Yue

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 891, P. 164663 - 164663

Published: June 5, 2023

Language: Английский

Citations

48
Spatiotemporal patterns and driving forces of net primary productivity in South and Southeast Asia based on Google Earth Engine and MODIS data DOI

An Chen,

Xuzhen Zhong,

Jinliang Wang

et al.

CATENA, Journal Year: 2025, Volume and Issue: 249, P. 108689 - 108689

Published: Jan. 5, 2025

Language: Английский

Citations

2
How does 2D and 3D of urban morphology affect the seasonal land surface temperature in Island City? A block-scale perspective DOI Creative Commons

Zhipeng Zhu,

Yuanping Shen,

Weicong Fu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 150, P. 110221 - 110221

Published: April 8, 2023

The global climate warming caused by urbanization has significantly affected the urban environment. Whilst land surface temperature (LST) is an important factor reflecting temperature, previous research on LST mostly focused two-dimensional (2D) factors and rarely mentioned about role of three-dimensional (3D) factors, particularly variation characteristics island cities. Therefore, this study examined seasonal analyzing impact 2D 3D morphology different block types in Xiamen Island. main results are as follows. First, compact low layer (CL), a type with higher density low-rise buildings, any season. Under same (BD), average height (BH), lower LST. Second, among normalized difference vegetation index (NDVI) was for cities to reduce LST, especially summer, while built-up (NDBI) opposite. Different from cities, we found positive correlation between modified water body (MNDWI) autumn winter. Third, sky view (SVF) positively correlated building fluctuation (BF) negatively correlated. SVF, worse radiation shielding effect buildings. On contrary, BF, undulation, better shielding. These findings should provide some quantitative insights future construction planning which can be used improve thermal environment support sustainable development

Language: Английский

Citations

28
Impact of human and climate factors on vegetation changes in mainland southeast asia and yunnan province of China DOI
Feifei Fan, Chiwei Xiao, Zhiming Feng

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137690 - 137690

Published: June 12, 2023

Language: Английский

Citations

25
Spatiotemporal differentiation of the ecosystem service value and its coupling relationship with urbanization: A case study of the Lanzhou-Xining urban agglomeration DOI Creative Commons
Jie Li, Guang Li,

Yunliang Liang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111932 - 111932

Published: March 1, 2024

Urbanization is a key factor that threatens the stability of ecosystem services (ESs), which are crucial for maintaining ecological security and enhancing human quality life. Gaining insight into spatiotemporal differentiation service value (ESV) its coupling relationship with urbanization issue in promoting sustainable regional development. We employed various algorithms, including improved equivalence method, random forest model, mixed geographically temporally weighted regression coordination degree (CCD) to reveal evolution ESV driving mechanisms Lanzhou-Xining urban agglomeration (LXUA) from 1980 2020. In addition, we explored between combined index (CUI). The results showed following: (1) From 2020, interannual variation first decreased then increased, an increase 230 million yuan/annum 2020 compared 1980. Spatially, exhibits distribution pattern high south low north, west east. (2) Land use intensity (LUI) elevation contributed values exceeding 20% were most important drivers ESV. (3) average CCD CUI transitioned being severely unbalanced (0.19) slightly balanced (0.42). There was negative spatial correlation CUI, each cluster type distributed discretely space. Our study emphasizes areas characterized by robust integrity ESV, LUI constitutes main reason decline findings this can provide scientific basis coordinated development ESVs LXUA other cities.

Language: Английский

Citations

11
Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China DOI Open Access
Jianwen Zeng,

Xiaoai Dai,

Wenyu Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

Citations

9
Revealing the driving factors of urban wetland park cooling effects using Random Forest regression and SHAP algorithm DOI
Yue Deng, Weiguo Jiang, Ziyan Ling

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106151 - 106151

Published: Jan. 1, 2025

Language: Английский

Citations

1
Predicting coastal harmful algal blooms using integrated data-driven analysis of environmental factors DOI Creative Commons
Zhengxiao Yan, Sara Kamanmalek, Nasrin Alamdari

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 169253 - 169253

Published: Dec. 14, 2023

Language: Английский

Citations

21
Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model DOI Creative Commons
Yong Xu,

Qiang-Yu Dai,

Yun-Gui Lu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111482 - 111482

Published: Dec. 26, 2023

Revealing the driving mechanism of climatic change and anthropogenic activities on vegetation variation identifying ecologically sensitive zones in Southwest China are critical for formulating regional ecological restoration strategies. Herein, a NDVI-based spatial–temporal model from 2000 to 2021 under influences alone combination was determined based MODIS NDVI situ meteorological data using Theil-Sen median analysis, Mann–Kendall significance test, residual relative analysis. The results showed that annual scale, NDVI, predicted significantly increased at rates 0.0016 yr−1, 0.0008 yr−1 2021, respectively. Moreover, (P < 0.05) Guangxi Hills (GXH), Hengduan Mountains (HDM), Sichuan Basin (SCB), Yunnan-Guizhou Plateau (YGP), Zoige (ZP) Tibetan (TP). areas with an increase accounted 81.45 %, 79.73 71.20 % China, dominated by combined effects activities, accounting 83.22 total study area. In addition, 62.76 area exhibited greening trend. contributions were greater than those areas, opposite is true browning areas. Innovatively, identified through analysis test 16.78 Overall, this proposed mode investigate forces variation, identify suggest management framework China.

Language: Английский

Citations

21
What are the dominant drivers and optimal thresholds for a healthy ecosystem in the Yellow River Basin, China? from a perspective of nonlinear nexus DOI Creative Commons

Shanshan Guo,

Ling Li,

Songling Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 111997 - 111997

Published: April 14, 2024

Identifying the dominant factors influencing ecosystem health and their optimal thresholds is essential for management restoration of ecosystems. Most works, however, have less detected importance level individual factors, especially changes over time scale, rarely determined threshold effects on (EH), which seriously hinders formulation targeted policies sustainable management. To address these research gaps, we present an innovative visualization approach to reveal in natural anthropogenic variables nonlinear coupling process with EH China's Yellow River Basin (YRB) last two decades. Results show that (i) Although YRB has improved slightly past 20 years, it still not optimistic shows distinct spatial heterogeneity. (ii) The impact human activities increased increasingly plays a decisive role, while aspect decreased recently. Specifically, environmental (slope, NDVI, annual temperature) are affecting upstream EH. Midstream significantly affected by synergistic effect but proportion built-up land intensified (ranked from 8th 4th). Anthropogenic exert greatest influence downstream variation, population density whose order rising 7th 2nd. (iii) By illustrating response curves at multi-scale, tipping point caused deterioration explored leading oriented towards most effective conservation goal obtained. These results help precisely identify current status YRB's ecosystem, as well providing valuable reference moderate standards

Language: Английский

Citations

8