Global Ecology Culture and Environmental Management for Rural Revitalization and Dual Carbon Strategy

Topic Information

Dear Colleagues,

With increasing environmental problems, rural areas are facing the challenge of environmental protection and sustainable development. The United Nations Sustainable Development Goals (SDGs) provide a common guiding framework for countries around the world, including the elimination of poverty and hunger,  sustainable urban and rural development and the fight against climate change. Rural revitalization, ecology culture , environmental management and the dual carbon strategy are closely related to these goals. In the process of achieving these goals, countries need to carry out international cooperation and experience sharing to jointly promote the goal of sustainable development. In recent years, rural revitalization and dual carbon strategy have been further promoted in China. Ecology culture and environmental management, including forest management are considered to be the key elements to achieve sustainable rural development. Ecology culture can contribute to rural revitalization, cultivating entrepreneurship and promoting sustainable agriculture. Environmental management involves the sustainable use of resources and environmental protection. It can promote the innovation and application of green technology and clean energy, help protect natural resources, mitigate climate change, strengthen environmental governance and achieve sustainable development of rural economy. Ecology culture and environmental management can be integrated with each other. Multi-party cooperation and comprehensive measures will help improve the ecology level in rural areas, promote sustainable development and achieve the dual carbon goal. Therefore, through the comprehensive means of ecology culture and environmental management, it can provide an important contribution to the successful implementation of rural revitalization and dual carbon strategy. The purpose of this topic is to provide a platform for researchers, scholars, policy makers and practitioners to publish their insights, theories, methods and innovative methods on the combination of ecology culture and environmental management for rural revitalization and the implementation of the dual carbon strategy. It covers a wide range of areas, including, but not limited to, ecology strategies and policies to promote environmental awareness and sustainable development in rural areas; environmental management methods and techniques to promote sustainable development in rural areas; and integrating ecology and environmental management for rural development.

Prof. Dr. Pingping Luo
Prof. Dr. Guangwei Huang
Prof. Dr. Binaya Kumar Mishra
Dr. Mohd Remy Rozainy Bin Mohd Arif Zainol
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Land land	3.2	4.9	2012	16.9 Days	CHF 2600	Submit
Remote Sensing remotesensing	4.2	8.3	2009	23.9 Days	CHF 2700	Submit
Smart Cities smartcities	7.0	11.2	2018	28.4 Days	CHF 2000	Submit
Social Sciences socsci	1.7	2.6	2012	34.2 Days	CHF 1800	Submit
Earth earth	2.1	3.3	2020	23.7 Days	CHF 1200	Submit
Forests forests	2.4	4.4	2010	16.2 Days	CHF 2600	Submit

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Published Papers (3 papers)

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All Land Remote Sensing Smart Cities Social Sciences Earth Forests

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19 pages, 1119 KiB  

Open AccessArticle

How Do Climate and Latitude Shape Global Tree Canopy Structure?

by Ehsan Rahimi, Pinliang Dong and Chuleui Jung

Forests 2025, 16(3), 432; https://doi.org/10.3390/f16030432 - 27 Feb 2025

Viewed by 218

Abstract

Understanding global patterns of tree canopy height and density is essential for effective forest management and conservation planning. This study examines how these attributes vary along latitudinal gradients and identifies key climatic drivers influencing them. We utilized high-resolution remote sensing datasets, including a [...] Read more.

Understanding global patterns of tree canopy height and density is essential for effective forest management and conservation planning. This study examines how these attributes vary along latitudinal gradients and identifies key climatic drivers influencing them. We utilized high-resolution remote sensing datasets, including a 10 m resolution canopy height dataset aggregated to 1 km for computational efficiency, and a 1 km resolution tree density dataset derived from ground-based measurements. To quantify the relationships between forest structure and environmental factors, we applied nonlinear regression models and climate dependency analyses, incorporating bioclimatic variables from the WorldClim dataset. Our key finding is that latitude exerts a dominant but asymmetric control on tree height and density, with tropical regions exhibiting the strongest correlations. Tree height follows a quadratic latitudinal pattern, explaining 29.3% of global variation, but this relationship is most pronounced in the tropics (−10° to 10° latitude, R² = 91.3%), where warm and humid conditions promote taller forests. Importantly, this effect differs by hemisphere, with the Southern Hemisphere (R² = 67.1%) showing stronger latitudinal dependence than the Northern Hemisphere (R² = 35.3%), indicating climatic asymmetry in forest growth dynamics. Tree density exhibits a similar quadratic trend but with weaker global predictive power (R² = 7%); however, within the tropics, latitude explains 90.6% of tree density variation, underscoring strong environmental constraints in biodiverse ecosystems. Among climatic factors, isothermality (Bio 3) is identified as the strongest determinant of tree height (R² = 50.8%), suggesting that regions with stable temperature fluctuations foster taller forests. Tree density is most strongly influenced by the mean diurnal temperature range (Bio 2, R² = 36.3%), emphasizing the role of daily thermal variability in tree distribution. Precipitation-related factors (Bio 14 and Bio 19) moderately explain tree height (~33%) and tree density (~25%), reinforcing the role of moisture availability in structuring forests. This study advances forest ecology research by integrating high-resolution canopy structure data with robust climate-driven modeling, revealing previously undocumented hemispheric asymmetries and biome-specific climate dependencies. These findings improve global forest predictive models and offer new insights for conservation strategies, particularly in tropical regions vulnerable to climate change. Full article

(This article belongs to the Topic Global Ecology Culture and Environmental Management for Rural Revitalization and Dual Carbon Strategy)

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29 pages, 4056 KiB  

Open AccessArticle

Analysis of Distribution Characteristics and Driving Factors of Forestry Enterprises in China Using Geospatial Technology and Models

by Qiang Ma, Honghong Ni, Xiangxiang Su, Ying Nian, Jun Li, Weiqiang Wang, Yali Sheng, Xueqing Zhu, Jiale Liu, Weizhong Li, Jikai Liu and Xinwei Li

Forests 2025, 16(2), 364; https://doi.org/10.3390/f16020364 - 17 Feb 2025

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Forestry enterprises play a pivotal role in economic development, ecological civilization construction, and sustainable development. This study employs GIS-based spatial analysis to examine the distribution patterns and interrelationships of forestry enterprises, investigating their key determinants and spatial heterogeneity. The findings provide valuable insights [...] Read more.

Forestry enterprises play a pivotal role in economic development, ecological civilization construction, and sustainable development. This study employs GIS-based spatial analysis to examine the distribution patterns and interrelationships of forestry enterprises, investigating their key determinants and spatial heterogeneity. The findings provide valuable insights for policymakers aiming to optimize industrial structures and enhance national ecological security. This research develops a comprehensive evaluation index system to assess the factors influencing forestry industry development in China. Nine factors are considered: human resources, economic development, industrial structure, technological support, trade development, financial environment, natural conditions, urbanization, and transportation. Using panel data from 367 cities in 2020, the Multiscale Geographically Weighted Regression (MGWR) method quantifies the influence of these factors and their spatial variations. The results show the following. (1) Forestry enterprises in China exhibit persistent spatial clustering. The eastern regions have a notably higher concentration than the western regions, and new enterprises are increasingly concentrated in a few hotspot cities in the east. (2) The spatial center of forestry enterprises has steadily moved southeast. Initially, the distribution was balanced in the eastern regions, but it has become highly concentrated in the southeastern coastal areas. (3) Regarding spatial autocorrelation, regions within the northwest cold spot cluster have been disappearing entirely. The northeast and southwest hotspot clusters have shrunk significantly, while the southeast hotspot cluster has remained large. (4) Permanent population size and green land area are the most strongly positively correlated with forestry enterprise distribution. Patent authorizations, orchard area, and forest land area also show positive effects. In contrast, road density and total import/export volume are negatively correlated with the number of forestry enterprises. This aligns with the structure of China’s forestry industry, which relies more on natural resources and market demand than on economic development level or financial environment. (5) The factors influencing forestry enterprise distribution show significant spatial variation, driven by regional factors such as resources, economy, and population. These factors ultimately determine the spatiotemporal distribution of forestry enterprises. This study provides data-driven insights to optimize the distribution of forestry industries and formulate more effective ecological protection policies. Full article

(This article belongs to the Topic Global Ecology Culture and Environmental Management for Rural Revitalization and Dual Carbon Strategy)

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26 pages, 5357 KiB  

Open AccessArticle

Evaluation Index System of Rural Ecological Revitalization in China: A National Empirical Study Based on the Driver-Pressure-State-Impact-Response Framework

by Guang Han, Zehao Wei, Huawei Zheng and Liqun Zhu

Land 2024, 13(8), 1270; https://doi.org/10.3390/land13081270 - 12 Aug 2024

Viewed by 1342

Abstract

Rural ecological revitalization (RER) is one of the five goals of China’s rural revitalization strategy. However, there is a lack of an effective index system to evaluate RER levels, which hinders the implementation of this national policy and reduces the effectiveness and efficiency [...] Read more.

Rural ecological revitalization (RER) is one of the five goals of China’s rural revitalization strategy. However, there is a lack of an effective index system to evaluate RER levels, which hinders the implementation of this national policy and reduces the effectiveness and efficiency of public resource input. Using the driver-pressure-state-impact-response (DPSIR) framework, this study developed an evaluation framework consisting of 5 subsystems, 12 secondary indicators, and 33 tertiary indicators. Using the entropy-weighted TOPSIS method, we analyzed a set of 30 provinces’ data and empirically determined the weights of each indicator. We found that the response subsystem had the largest weight (0.338), followed by the state (0.271), impact (0.148), pressure (0.130), and driver (0.113). We then evaluated the RER level in each province and found that five provinces had high RER levels, 16 provinces had moderate RER levels, and nine provinces had low RER levels. Using Moran’s I, we examined spatial autocorrelation of provincial RER levels at global and local dimensions. We found significant positive global autocorrelations across all subsystems, indicating that geological aggregation exists in all RER subsystems. The local autocorrelation results showed that low–low and high–high patterns were the dominant local autocorrelation patterns. According to the findings, we discussed the possible implications of this RER evaluation index system and provided policy recommendations for strengthening RER in different regions across the country. Full article

(This article belongs to the Topic Global Ecology Culture and Environmental Management for Rural Revitalization and Dual Carbon Strategy)

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