Analysis of forest cover in Parque Nacional Tingo María (Peru) using the random forest algorithm DOI Creative Commons
Ronald Puerta, José Iannacone‍

Scientia Agropecuaria, Год журнала: 2023, Номер 14(3), С. 291 - 300

Опубликована: Авг. 11, 2023

The establishment of natural protected areas is one the most effective strategies to conserve forests and their biodiversity; however, uncontrolled advance deforestation resulting from change use expand agricultural frontier has become a threat these intangible areas. This research aimed analyze dynamics forest cover in Parque Nacional Tingo María (PNTM) its buffer zone (ZA) located high jungle Huánuco region Peru. main input was Sentinel-2 images that were classified using Random Forest algorithm. As result, coverage maps obtained for study area corresponding years 2017, 2019, 2021 2023, achieving considerable thematic accuracy. During evaluation periods, rates non-forest within PNTM presented low values -0.26% (2017 - 2019); -1.24% (2019 2021) -0.02% (2021 2023). While ZA have undergone dynamic transition, with -2.97%; -4.39% -1.15% derived land change. landscape metrics suggest are moderately fragmented, strongly which leads conclusion fulfilled objective maintaining vegetation cover.

Язык: Английский

Quantifying the direct and indirect effects of terrain, climate and human activity on the spatial pattern of kNDVI-based vegetation growth: A case study from the Minjiang River Basin, Southeast China DOI Creative Commons

Zipeng Gu,

Xingwei Chen,

Weifang Ruan

и другие.

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102493 - 102493

Опубликована: Янв. 22, 2024

In the context of global change, it is vital to comprehensively understand spatial pattern and driving mechanism vegetation growth maintain stability watershed ecosystems. Previous research has focused mainly on identifying main drivers growth, while direct indirect effects climate, terrain, human activity have rarely been explored. This study used Minjiang River Basin (MRB), an important ecological barrier largest in southeastern China, as example. The kernel normalized difference index (kNDVI) was calculated Google Earth Engine (GEE) platform examine evolution characteristics growth. optimal parameter-based geographical detector (OPGD) partial least squares structural equation modeling (PLS-SEM) were analyze how influenced kNDVI. (1) From 2001 2020, MRB predominantly rated excellent or good, 88.93% area showed increasing trend (2) OPGD revealed that primary influencing distribution kNDVI included population density, nighttime light, elevation temperature, which explained >40% variation interaction all paired enhanced explanatory power kNDVI, among strongest between density elevation, second temperature. (3) PLS-SEM had a negative effect terrain climate positive Overall, total 0.594, 0.233 − 0.495, respectively, indicating outweighed MRB. These findings not only provide scientific evidence for conservation management but also offer useful reference other regions exploring complex causes patterns

Язык: Английский

Процитировано

31

Multiscale Sensitivity Analysis of Landscape Fragmentation in Plantation Forests on the Loess Plateau DOI Open Access
Mei Zhang, Peng Liu, Ke Liu

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

ABSTRACT Effectively quantifying plantation forest fragmentation is crucial for vegetation restoration and management on the Loess Plateau. Forest area density (FAD) effectively measures fragmentation, with multiscale sensitivity analysis essential determining appropriate window scale threshold. This study uses data from different geomorphological types (hilly gully plateau region) of Various sizes are applied to evaluate FAD threshold curve its derivative a stable threshold, while structural equation model employed analyze drivers fragmentation. The results as follows: (1) variability decreases increasing size, leveling off after reaching (2) Thresholds vary by type county. (3) Two principal components explain 81.27% stabilization variation, strong correlations between similar types. (4) Fragmentation slowed 2000 2022, hilly region more fragmented than region. (5) Stand structure mitigates topographic climate change influences showing heterogeneity. “Core” maintain stability, “Islet” drive emphasizes importance scale‐specific adaptive strategies in mitigating supports optimizing ecological targeted conservation strategies, promoting sustainable

Язык: Английский

Процитировано

1

Insights into forest vegetation changes and landscape fragmentation in Southeastern China: From a perspective of spatial coupling and machine learning DOI Creative Commons
Yuying Lin,

Yidong Jin,

Ge Yang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112479 - 112479

Опубликована: Авг. 10, 2024

Язык: Английский

Процитировано

3

Assessment of forest fragmentation and ecological dynamics in Western Himalayan Region over three decades (1990–2020) DOI
Adeel Ahmad, Sajid Rashid Ahmad, Hammad Gilani

и другие.

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(2)

Опубликована: Янв. 30, 2025

Язык: Английский

Процитировано

0

Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios DOI

Miaomiao Liu,

Shuang Liu,

Ruiqian Tang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124412 - 124412

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Assessment of wetland sustainability capacity of artificial mangrove wetland on landscape scale: A case of Luoyangjiang River Estuary, China DOI
Lin Wei, Shihua Li, Wei Xu

и другие.

Ecological Engineering, Год журнала: 2025, Номер 214, С. 107561 - 107561

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0

Evaluation and Optimization Strategies for Forest Landscape Stability in Different Landform Types of the Loess Plateau DOI Creative Commons
Mei Zhang, Peng Liu,

Zhong Zhao

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(6), С. 1105 - 1105

Опубликована: Март 20, 2025

This study aims to develop a forest landscape stability assessment framework that integrates structure, function, and resilience assess under different landform types on the Loess Plateau, propose differentiated optimization strategies. Remote sensing images ground survey data were combined compare effectiveness of machine learning models in aboveground biomass (AGB) inversion. Meanwhile, fragmentation multifunctionality assessed, Landscape Stability Index (LSI) was proposed quantify regional stability. The main findings are as follows: (1) between 2000 2022, degree hilly gully region improved significantly, Simpson’s Diversity (SDI) value showed an increasing trend; plateau decreasing trend SDI value. higher significant changes, while more stable, with “Interior” “Dominant” dominating. (2) eXtreme Gradient Boosting model outperformed other AGB estimation, R2 = 0.81 RMSE 24.67 ton ha−1. (3) LSI generally increased, especially Yanchang, showing increase ecological stability; decreased, Baishui, weakening Based results, strategies for stabilities proposed, including hierarchical management fragmentation, multi-objective improve SDI, adaptive AGB. this can effectively landscapes, reveal differences restoration regions, provide new perspectives Plateau.

Язык: Английский

Процитировано

0

How Three Decades of Forestation Has Impacted Forest Fragmentation in Southern China DOI Creative Commons
Chen Mao, Xiaowei Tong, Martin Brandt

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(11), С. 1922 - 1922

Опубликована: Май 31, 2025

Forest cover dynamics are studied on a routine basis, but how changes in forest impact fragmentation has rarely been over long time period resolution. This is, however, important because critically impacts ecosystem services, such as biodiversity and cooling effects. Here, we apply series of Landsat images from 1986–2018 study changed along with southern China. Furthermore, attribute drivers the local air temperature changes. The region is particularly relevant it was largely deforested three decades ago, most current forests result protection forestation measures. We found reduction index FFI (−34.4%) 1986 to 2018. In 81.2% area, increased decreased, while 18.5% area showed increases both fragmentation. contribution human activities by 9%, distinct spatial correlation between areas increasing high levels disturbance. that average level effects less than 40% heavily dominated fragmentation, whereas primarily controlled cover. These findings underscore role disturbance driving which turn affects functioning ecosystems. results emphasize need for integrated land management strategies balance restoration mitigation human-induced sustain services face ongoing environmental change.

Язык: Английский

Процитировано

0

Study on the Spatial Heterogeneity of the Impact of Forest Land Change on Landscape Ecological Risk: A Case Study of Erhai Rim Region in China DOI Open Access
Mengjiao Wang, Yingmei Wu, Yang Wang

и другие.

Forests, Год журнала: 2023, Номер 14(7), С. 1427 - 1427

Опубликована: Июль 12, 2023

As an important ecological ecotone of water and land ecosystems, the lakeside is characterized by a variety ecosystem services high vulnerability. Forest in resolving risks area building its base. It to explore effect change forest on landscape risk area, alleviate contradiction between protection construction development realize sustainable development. The present study attempted spatial temporal evolutionary features Erhai rim region from 2000 2020 using bivariate autocorrelation multi-scale geographical weighted regression (MGWR) models. following are findings this investigation 2000–2020 period: (1) generally decreased, first increasing then decreasing, was mainly occupied cultivated artificial surfaces; (2) total presented upward trend, medium- higher-risk areas were main areas, with latter increasing; (3) impact expansion contraction intensity exhibited heterogeneity. forms at different stages differed, impacts also different. Reasonable can effectively growth risk, whereas shrinkage would aggravate region. Moreover, offer reference for exploration coordinated optimization economic Lake.

Язык: Английский

Процитировано

7

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

Xin Lin,

Shiyong Zhen,

Qing Zhao

и другие.

Forests, Год журнала: 2024, Номер 15(7), С. 1212 - 1212

Опубликована: Июль 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.

Язык: Английский

Процитировано

2