Natural Factors Rather Than Anthropogenic Factors Control the Greenness Pattern of the Stable Tropical Forests on Hainan Island during 2000–2019 DOI Open Access
Binbin Zheng, Rui Yu

Forests, Год журнала: 2024, Номер 15(8), С. 1334 - 1334

Опубликована: Авг. 1, 2024

Vegetation, being a core component of ecosystems, is known to be influenced by natural and anthropogenic factors. This study used the annual mean Normalized Difference Vegetation Index (NDVI) as vegetation greenness indicator. The variation in NDVI on Hainan Island was analyzed using Theil–Sen median trend analysis Mann–Kendall test during 2000–2019. influence factors driving mechanism spatial pattern explored Multiscale Weighted Regression (MGWR) model. Additionally, we employed Boosted Tree (BRT) model explore their contribution NDVI. Then, MGWR utilized predict future patterns based precipitation temperature data from different Shared Socioeconomic Pathway (SSP) scenarios for period 2021–2100. results showed that: (1) forests significantly increased 2000 2019, with an average increase rate 0.0026/year. (2) R2 0.93, which more effective than OLS (R2 = 0.42) explaining relationship. regression coefficients ranged −10.05 0.8 (p < 0.05). Similarly, Gross Domestic Product (GDP) varied between −5.98 3.28 0.05); (3) played most dominant role influencing activities result relative contributions 83.2% forest changes (16.8% contributed activities). (4) under SSP119, SSP245, SSP585 2021 2100, projected have overall decreasing all scenarios. reveals change relationship factors, can guide medium long-term dynamic monitoring evaluation tropical Island.

Язык: Английский

Analysis of Spatiotemporal Evolution and Driving Forces of Vegetation from 2001 to 2020: A Case Study of Shandong Province, China DOI Open Access

Dejin Dong,

Ziliang Zhao,

Hongdi Gao

и другие.

Forests, Год журнала: 2024, Номер 15(7), С. 1245 - 1245

Опубликована: Июль 17, 2024

As global climate change intensifies and human activities escalate, changes in vegetation cover, an important ecological indicator, hold significant implications for ecosystem protection management. Shandong Province, a critical agricultural economic zone China, experiences that crucially affect regional regulation biodiversity conservation. This study employed normalized difference index (NDVI) data, combined with climatic, topographic, anthropogenic activity utilizing trend analysis methods, partial correlation analysis, Geodetector to comprehensively analyze the spatiotemporal variations primary driving factors of cover Province from 2001 2020. The findings indicate overall upward particularly areas concentrated activities. Climatic factors, such as precipitation temperature, exhibit positive growth, while land use emerge one key drivers influencing dynamics. Additionally, topography also impacts spatial distribution certain extent. research provides scientific basis management similar regions, supporting formulation effective restoration conservation strategies.

Язык: Английский

Процитировано

2
Dynamic Spatiotemporal Evolution and Driving Mechanisms of Vegetation in the Lower Reaches of the Tarim River, China DOI Open Access
Qiang Han, Lianqing Xue, Tiansong Qi

и другие.

Water, Год журнала: 2024, Номер 16(15), С. 2157 - 2157

Опубликована: Июль 30, 2024

Analyzing the changes in vegetation under different factors is crucial for ecological protection arid areas. The spatial-temporal variations of lower reaches Tarim River (LRTR) from 2000 to 2020, were analyzed using Theil-Sen estimator and Mann-Kendall test. future trends NDVI are projected use Hurst exponent method. driving mechanisms GeoDetector method multivariate residual analysis. values LRTR significantly increased during study period, indicating good recovery. overall level remains poor was primarily concentrated around riverine There still a risk degradation most areas LRTR. Compared climate change, more affected by human activities. Human activities have helped restore riparian prevented far river. Therefore, distance river channels strongest explanatory factor (q = 0.078) changes, followed precipitation, temperature, while slope minimal impact on vegetation. Statistics found that when two combined, their change stronger. These findings beneficial identifying evolution patterns providing theoretical support government carry out restoration.

Язык: Английский

Процитировано

1
Mechanism of Vegetation Greenness Change and Its Correlation with Terrestrial Water Storage in the Tarim River Basin DOI Creative Commons
Tingting Xia,

Xuan Xue,

Haowei Wang

и другие.

Land, Год журнала: 2024, Номер 13(5), С. 712 - 712

Опубликована: Май 18, 2024

The response of dryland vegetation to climate change is particularly sensitive in the context global change. This paper analyzes characteristics spatial and temporal dynamics cover Tarim River Basin, China, its driving factors order investigate growth water storage changes basin. Enhanced Vegetation Index (EVI), GRACE gravity satellite, meteorological data from 2002 2022 are used decipher changes, which great significance realization regional ecological development sustainable development. results study show following: (1) Basin has an overall increasing trend, mainly distributed Aksu Weigangkuche spatially form a ring. (2) distribution greatly improved during 20-year period, dominated by high-cover vegetation, with rate 200.36%. Additionally, centered on watersheds expand surrounding area, clear increase Kumukuri Basin. Areas Hurst index <0.5 account for 63.27% areas continuous decrease were located outer contour area Kumu Kuri Basins. (3) There obvious differences correlation between EVI temperature precipitation elements. proportion positive within 64.67%. tends be consistent direction migration center population GDP, terrestrial reserves northern slopes Kunlun Mountains, about 50.513%. Kumukuli also shows significantly correlation.

Язык: Английский

Процитировано

0
Natural Factors Rather Than Anthropogenic Factors Control the Greenness Pattern of the Stable Tropical Forests on Hainan Island during 2000–2019 DOI Open Access
Binbin Zheng, Rui Yu

Forests, Год журнала: 2024, Номер 15(8), С. 1334 - 1334

Опубликована: Авг. 1, 2024

Vegetation, being a core component of ecosystems, is known to be influenced by natural and anthropogenic factors. This study used the annual mean Normalized Difference Vegetation Index (NDVI) as vegetation greenness indicator. The variation in NDVI on Hainan Island was analyzed using Theil–Sen median trend analysis Mann–Kendall test during 2000–2019. influence factors driving mechanism spatial pattern explored Multiscale Weighted Regression (MGWR) model. Additionally, we employed Boosted Tree (BRT) model explore their contribution NDVI. Then, MGWR utilized predict future patterns based precipitation temperature data from different Shared Socioeconomic Pathway (SSP) scenarios for period 2021–2100. results showed that: (1) forests significantly increased 2000 2019, with an average increase rate 0.0026/year. (2) R2 0.93, which more effective than OLS (R2 = 0.42) explaining relationship. regression coefficients ranged −10.05 0.8 (p < 0.05). Similarly, Gross Domestic Product (GDP) varied between −5.98 3.28 0.05); (3) played most dominant role influencing activities result relative contributions 83.2% forest changes (16.8% contributed activities). (4) under SSP119, SSP245, SSP585 2021 2100, projected have overall decreasing all scenarios. reveals change relationship factors, can guide medium long-term dynamic monitoring evaluation tropical Island.

Язык: Английский

Процитировано

0