Pub Date : 2024-07-15DOI: 10.3389/fenvs.2024.1431324
Jianmin Zhang, Yang Yang, Jingyuan Huang, Kao Xiaoxuan
Cities are the core carriers and key positions to achieve the dual carbon goals. It is of great significance to explore whether promoting urbanization can improve carbon emission performance, which is of great significance to comprehensively promote the goal of carbon neutrality. Based on the panel data from 2006 to 2021, this paper analyzes the spatial autocorrelation of carbon emission performance per unit space and the impact mechanism of urbanization process on it. The fixed-effect model was further used to identify the influencing factors of spatial carbon emission performance. The results show that: 1) China’s carbon emission performance per unit space is declining year by year. 2) There is a strong positive spatial correlation and stable path dependence on the performance of carbon emissions per unit space in each region. 3) To a certain extent, increasing the level of urbanization will reduce the carbon emission performance per unit space. 4) The urbanization process has a spatial spillover effect on the carbon emission performance per unit space of surrounding provinces, and the spatial spillover effect of industrial structure and energy consumption structure is more obvious than that of economic level, population density and urbanization rate. Based on the conclusions, this paper puts forward specific policy suggestions to reduce the carbon emission performance per unit space to help the low-carbon development of cities.
{"title":"Can urbanization improve carbon performance?","authors":"Jianmin Zhang, Yang Yang, Jingyuan Huang, Kao Xiaoxuan","doi":"10.3389/fenvs.2024.1431324","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1431324","url":null,"abstract":"Cities are the core carriers and key positions to achieve the dual carbon goals. It is of great significance to explore whether promoting urbanization can improve carbon emission performance, which is of great significance to comprehensively promote the goal of carbon neutrality. Based on the panel data from 2006 to 2021, this paper analyzes the spatial autocorrelation of carbon emission performance per unit space and the impact mechanism of urbanization process on it. The fixed-effect model was further used to identify the influencing factors of spatial carbon emission performance. The results show that: 1) China’s carbon emission performance per unit space is declining year by year. 2) There is a strong positive spatial correlation and stable path dependence on the performance of carbon emissions per unit space in each region. 3) To a certain extent, increasing the level of urbanization will reduce the carbon emission performance per unit space. 4) The urbanization process has a spatial spillover effect on the carbon emission performance per unit space of surrounding provinces, and the spatial spillover effect of industrial structure and energy consumption structure is more obvious than that of economic level, population density and urbanization rate. Based on the conclusions, this paper puts forward specific policy suggestions to reduce the carbon emission performance per unit space to help the low-carbon development of cities.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-10DOI: 10.3389/fenvs.2024.1455906
Zhihao Xu, Pan Yang, Xinan Yin, Ximing Cai
{"title":"Editorial: Watershed environmental changes and adaptive management for sustainability","authors":"Zhihao Xu, Pan Yang, Xinan Yin, Ximing Cai","doi":"10.3389/fenvs.2024.1455906","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1455906","url":null,"abstract":"","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-08DOI: 10.3389/fenvs.2024.1419821
Tuyet-Anh T. Le, K. Vodden, Jianghua Wu, Ryan Bullock, Gabriela Sabau
{"title":"Benefits and risks from payments for ecosystem services programs across the globe","authors":"Tuyet-Anh T. Le, K. Vodden, Jianghua Wu, Ryan Bullock, Gabriela Sabau","doi":"10.3389/fenvs.2024.1419821","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1419821","url":null,"abstract":"","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.3389/fenvs.2024.1447017
Jhih-Rong Liao, Qinghua Cai, Kozo Watanabe, Ming-Chih Chiu, Vincent H. Resh
{"title":"Editorial: Global change ecology: threats and solutions","authors":"Jhih-Rong Liao, Qinghua Cai, Kozo Watanabe, Ming-Chih Chiu, Vincent H. Resh","doi":"10.3389/fenvs.2024.1447017","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1447017","url":null,"abstract":"","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-04DOI: 10.3389/fenvs.2024.1326709
Xiaofeng Wang, Xiaojun Cui, Xiaolong Sun
Green pesticide use, as a key means to reduce pesticide use, plays a crucial role in promoting environmental and food safety. However, the effectiveness of green pesticide use policies in China falls short of expectations. Existing research mainly examines the policy promotion issues of green pesticide use from a static and single-agent perspective. However, green pesticide use behavior is a dynamic process influenced by multiple factors, including the government, farmers, and consumers. This paper builds an evolutionary tripartite game model of the government, farmers, and consumers from the perspective of dynamic strategy evolution and explores the evolutionary conditions that affect the stability of the tripartite game strategy during green pesticide application. The results show that 1) through different partnership models, the government, farmers, and consumers can evolve to a stable state. 2) Keeping the government’s regulatory intensity in the market for green agricultural products within a reasonable range will help farmers apply green pesticides. 3) Users’ preference for high-quality vegetables will increase the market selling price of green products. 4) Maintaining the government’s ecological subsidies for green pesticides will help stimulate farmers’ enthusiasm for using green pesticides. Therefore, the government should appropriately strengthen ecological subsidies and market supervision, guide consumers’ green consumption behavior, and encourage farmers to use green pesticides.
{"title":"How to promote the application of green pesticides by farmers? Evolutionary game analysis based on “government–farmer–consumer”","authors":"Xiaofeng Wang, Xiaojun Cui, Xiaolong Sun","doi":"10.3389/fenvs.2024.1326709","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1326709","url":null,"abstract":"Green pesticide use, as a key means to reduce pesticide use, plays a crucial role in promoting environmental and food safety. However, the effectiveness of green pesticide use policies in China falls short of expectations. Existing research mainly examines the policy promotion issues of green pesticide use from a static and single-agent perspective. However, green pesticide use behavior is a dynamic process influenced by multiple factors, including the government, farmers, and consumers. This paper builds an evolutionary tripartite game model of the government, farmers, and consumers from the perspective of dynamic strategy evolution and explores the evolutionary conditions that affect the stability of the tripartite game strategy during green pesticide application. The results show that 1) through different partnership models, the government, farmers, and consumers can evolve to a stable state. 2) Keeping the government’s regulatory intensity in the market for green agricultural products within a reasonable range will help farmers apply green pesticides. 3) Users’ preference for high-quality vegetables will increase the market selling price of green products. 4) Maintaining the government’s ecological subsidies for green pesticides will help stimulate farmers’ enthusiasm for using green pesticides. Therefore, the government should appropriately strengthen ecological subsidies and market supervision, guide consumers’ green consumption behavior, and encourage farmers to use green pesticides.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141265403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eutrophication due to nitrogen (N) loss from sloping farmland has a high risk in the Three Gorges Reservoir. Biochar and vegetated filter strips (VFS) are used to control nutrient runoff and increase soil water-holding capacity, soil nutrient retention, and crop yield. However, surface biochar application has limited ability to control N loss, especially from sloping farmland.In this study, different widths of ridged biochar permeable reactive barrier (RB-PRB) with VFS were employed to intercept N loss in runoff from sloping farmland. Adsorption characteristics of biochar for nitrate and ammonium N were evaluated using isothermal and kinetic adsorption models before field experiments. N index values for ammonium (NH4+), nitrate (NO3−), dissolved N (DTN), particulate N (PN), and total N (TN) lost through runoff were monitored from April 2019 to January 2020.NO3− and NH4+ sorption on biochar was predominantly physical adsorption with a maximum capacity of 4.51 and 4.12 mg g-1, respectively. During the research period, the dominant transportation pathway of N loss involved dissolved total N movement through subsurface flow, which accounted for 65.55% of the total loss. TN loss for CK was 1954 g·hm-2, while RB-PRB and VFS decreased N loss from sloping farmland by 36.7%. The interception efficiency of RB-PRB was highest at 0.3 m width. VFS successfully intercepted particulate N and reduced it by 32.75%. In terms of soil nutrients, the RB-PRB and VFS interventions led to a substantial 41.69% increase in the TN content of the soil at a 0.4 m width.The findings suggest that biochar has a favorable adsorption effect on NH4+ and NO3−, an appropriate width of RB-PRB with VFS could effectively reduce nitrogen loss from sloping farmland. Simultaneously, it enhances the water and fertilizer retention capacity of sloping cropland soil; however, the long-term implications necessitate further validation.
{"title":"Reduction of nitrogen loss in runoff from sloping farmland by a ridged biochar permeable reactive barrier with vegetated filter strips","authors":"Yuhe Zhang, Jianshuang Gao, Qiang Li, Shunyao Zhuang","doi":"10.3389/fenvs.2024.1381781","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1381781","url":null,"abstract":"Eutrophication due to nitrogen (N) loss from sloping farmland has a high risk in the Three Gorges Reservoir. Biochar and vegetated filter strips (VFS) are used to control nutrient runoff and increase soil water-holding capacity, soil nutrient retention, and crop yield. However, surface biochar application has limited ability to control N loss, especially from sloping farmland.In this study, different widths of ridged biochar permeable reactive barrier (RB-PRB) with VFS were employed to intercept N loss in runoff from sloping farmland. Adsorption characteristics of biochar for nitrate and ammonium N were evaluated using isothermal and kinetic adsorption models before field experiments. N index values for ammonium (NH4+), nitrate (NO3−), dissolved N (DTN), particulate N (PN), and total N (TN) lost through runoff were monitored from April 2019 to January 2020.NO3− and NH4+ sorption on biochar was predominantly physical adsorption with a maximum capacity of 4.51 and 4.12 mg g-1, respectively. During the research period, the dominant transportation pathway of N loss involved dissolved total N movement through subsurface flow, which accounted for 65.55% of the total loss. TN loss for CK was 1954 g·hm-2, while RB-PRB and VFS decreased N loss from sloping farmland by 36.7%. The interception efficiency of RB-PRB was highest at 0.3 m width. VFS successfully intercepted particulate N and reduced it by 32.75%. In terms of soil nutrients, the RB-PRB and VFS interventions led to a substantial 41.69% increase in the TN content of the soil at a 0.4 m width.The findings suggest that biochar has a favorable adsorption effect on NH4+ and NO3−, an appropriate width of RB-PRB with VFS could effectively reduce nitrogen loss from sloping farmland. Simultaneously, it enhances the water and fertilizer retention capacity of sloping cropland soil; however, the long-term implications necessitate further validation.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Global climate change is considered one of the greatest environmental threats in the world. It is expected to significantly change the global hydrological cycle. The two main water cycle components, potential evapotranspiration (PET) and precipitation (P), are closely related to vegetation dynamics. In this study, the partial correlation analysis method was used to analyzed the relationship between Normalized Difference Vegetation Index (NDVI) and climate factors (PET and P) based on grid cells. PET was calculated by FAO-56 Penman–Monteith method. Moreover, we also investigated the NDVI and climate factors in different vegetation cover types. The results showed that grassland, forest and cropland in China were positively correlated with PET and P. The time scales of the maximum partial correlation coefficients between NDVI and PET of grassland vegetation were mostly longer than 5–6 months. These time scales were longer than the time scales related to P. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China, whereas the spatial distribution of related time scales was the opposite. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China. However, the spatial distribution of related time scales was the opposite. The correlations between NDVI and PET, P of cropland vegetation and the time scales related to PET had clear spatial heterogeneity. The time scale of the correlation between NDVI and P for cropland in the northern China was about 2 months. P had a strong influence on the growth of various types of vegetation in the study area, and grassland vegetation was affected by P over the shortest time scale. We compare and analyze the results of this study with other related studies. These results provide a reference for exploring the dynamic changes in different vegetation types and factors impacting them.
全球气候变化被认为是世界上最大的环境威胁之一。预计它将极大地改变全球水文循环。水循环的两个主要组成部分--潜在蒸散量（PET）和降水量（P）与植被动态密切相关。本研究采用偏相关分析方法，以网格单元为基础，分析归一化植被指数（NDVI）与气候因子（PET 和 P）之间的关系。PET 采用 FAO-56 Penman-Monteith 方法计算。此外，我们还研究了不同植被覆盖类型的 NDVI 和气候因子。结果表明，中国的草地、森林和耕地与 PET 和 P 呈正相关。森林植被的 NDVI 与 PET、P 的偏相关系数在华北地区较高，而相关时间尺度的空间分布则相反。华北地区森林植被的 NDVI 与 PET、P 的偏相关系数较高。然而，相关时间尺度的空间分布却相反。耕地植被 NDVI 与 PET、P 的相关系数以及与 PET 相关的时间尺度具有明显的空间异质性。华北地区耕地植被 NDVI 与 P 的相关时间尺度约为 2 个月。磷对研究区各类植被的生长影响较大，其中草地植被受磷影响的时间尺度最短。我们将本研究结果与其他相关研究结果进行了比较和分析。这些结果为探索不同植被类型的动态变化及其影响因素提供了参考。
{"title":"The different vegetation types responses to potential evapotranspiration and precipitation in China","authors":"Haojie Liu, Wei Wei, GuangLei Zhu, Yibo Ding, Xiongbiao Peng","doi":"10.3389/fenvs.2024.1406621","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1406621","url":null,"abstract":"Global climate change is considered one of the greatest environmental threats in the world. It is expected to significantly change the global hydrological cycle. The two main water cycle components, potential evapotranspiration (PET) and precipitation (P), are closely related to vegetation dynamics. In this study, the partial correlation analysis method was used to analyzed the relationship between Normalized Difference Vegetation Index (NDVI) and climate factors (PET and P) based on grid cells. PET was calculated by FAO-56 Penman–Monteith method. Moreover, we also investigated the NDVI and climate factors in different vegetation cover types. The results showed that grassland, forest and cropland in China were positively correlated with PET and P. The time scales of the maximum partial correlation coefficients between NDVI and PET of grassland vegetation were mostly longer than 5–6 months. These time scales were longer than the time scales related to P. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China, whereas the spatial distribution of related time scales was the opposite. The partial correlation coefficients between NDVI and PET, P of forest vegetation were higher in northern China. However, the spatial distribution of related time scales was the opposite. The correlations between NDVI and PET, P of cropland vegetation and the time scales related to PET had clear spatial heterogeneity. The time scale of the correlation between NDVI and P for cropland in the northern China was about 2 months. P had a strong influence on the growth of various types of vegetation in the study area, and grassland vegetation was affected by P over the shortest time scale. We compare and analyze the results of this study with other related studies. These results provide a reference for exploring the dynamic changes in different vegetation types and factors impacting them.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141271499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-03DOI: 10.3389/fenvs.2024.1408866
Luis Valverde, César Iván Álvarez, Dayana Gualotuña
The primary climatic parameter frequently scrutinized in water balance assessments for water utilization is precipitation. Given its considerable variability across locations and over time, it is imperative to rely on high-quality statistical information to facilitate accurate analyses. This study aims to refine the estimation of precipitation data by enhancing information obtained from freely accessible satellite sensors with data collected from established observation stations. Monthly precipitation data spanning from 2000 to 2015 were gathered from 24 stations. Three distinct methodologies were employed to adjust individual station data to address missing data. Consistency analysis and data refinement were conducted for stations requiring adjustments, utilizing graphical analysis and non-parametric statistical techniques. The satellite products under evaluation correspond to the IMERG v6 algorithm. Subsequently, statistical metrics were used to compare observed and estimated data. A correction coefficient was computed by aligning monthly means between observed and calculated data to mitigate random and systemic errors. The IMERG algorithm demonstrates proficiency in accounting for altitude and seasonal variations, with the adjustment significantly enhancing its performance under these conditions.
{"title":"Remote sensing-based estimation of precipitation data (2000-2015) in Ecuador's Loja province","authors":"Luis Valverde, César Iván Álvarez, Dayana Gualotuña","doi":"10.3389/fenvs.2024.1408866","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1408866","url":null,"abstract":"The primary climatic parameter frequently scrutinized in water balance assessments for water utilization is precipitation. Given its considerable variability across locations and over time, it is imperative to rely on high-quality statistical information to facilitate accurate analyses. This study aims to refine the estimation of precipitation data by enhancing information obtained from freely accessible satellite sensors with data collected from established observation stations. Monthly precipitation data spanning from 2000 to 2015 were gathered from 24 stations. Three distinct methodologies were employed to adjust individual station data to address missing data. Consistency analysis and data refinement were conducted for stations requiring adjustments, utilizing graphical analysis and non-parametric statistical techniques. The satellite products under evaluation correspond to the IMERG v6 algorithm. Subsequently, statistical metrics were used to compare observed and estimated data. A correction coefficient was computed by aligning monthly means between observed and calculated data to mitigate random and systemic errors. The IMERG algorithm demonstrates proficiency in accounting for altitude and seasonal variations, with the adjustment significantly enhancing its performance under these conditions.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-17DOI: 10.3389/fenvs.2024.1352058
Mendy van der Vliet, Yoann Malbeteau, Darren Ghent, Sander de Haas, Karen L. Veal, Thijs van der Zaan, Rajiv Sinha, S. Dash, Rasmus Houborg, Richard A. M. de Jeu
The impact of ecosystem conservation and restoration activities are rarely monitored from a global, multidimensional and multivariable perspective. Here we present an approach to quantify the environmental impact of landscape restoration using long-term and high-resolution satellite observations. For two restoration areas in Tanzania, we can likely attribute an increase in the amount of water retained by the soil (∼0.01 m³ m⁻³, ∼13% average increase), a soil temperature drop (∼-0.5°C) and an increase in surface greenness (∼50% average increase) in 3.5 years. These datasets illuminate the impact of restoration initiatives on the landscape and support the reporting of comprehensive metrics to donors and partners. Satellite observations from commercial providers and space agencies are now achieving the frequency, resolution, and accuracy that can allow for the effective evaluation of restoration activities.
{"title":"Quantifiable impact: monitoring landscape restoration from space. A regreening case study in Tanzania","authors":"Mendy van der Vliet, Yoann Malbeteau, Darren Ghent, Sander de Haas, Karen L. Veal, Thijs van der Zaan, Rajiv Sinha, S. Dash, Rasmus Houborg, Richard A. M. de Jeu","doi":"10.3389/fenvs.2024.1352058","DOIUrl":"https://doi.org/10.3389/fenvs.2024.1352058","url":null,"abstract":"The impact of ecosystem conservation and restoration activities are rarely monitored from a global, multidimensional and multivariable perspective. Here we present an approach to quantify the environmental impact of landscape restoration using long-term and high-resolution satellite observations. For two restoration areas in Tanzania, we can likely attribute an increase in the amount of water retained by the soil (∼0.01 m³ m⁻³, ∼13% average increase), a soil temperature drop (∼-0.5°C) and an increase in surface greenness (∼50% average increase) in 3.5 years. These datasets illuminate the impact of restoration initiatives on the landscape and support the reporting of comprehensive metrics to donors and partners. Satellite observations from commercial providers and space agencies are now achieving the frequency, resolution, and accuracy that can allow for the effective evaluation of restoration activities.","PeriodicalId":509564,"journal":{"name":"Frontiers in Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140965703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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