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Competition and temperature could drive radial growth of Schima superba in humid subtropical forests of China
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113287
Ziru Niu , Shaowei Jiang , Juan Li
Competition and climate are two crucial factors influencing tree growth, particularly in densely populated and canopy-closed forests. The Chinese subtropical evergreen broadleaved forest, a region with a high net carbon sink rate, is currently experiencing climatic warming and changes in precipitation patterns that may increase aridity and alter stand structure. Understanding how competition and climate impact the radial growth of evergreen broadleaved tree species in this region remains unclear. To address this gap, we collected data on competition and tree-ring width from 15 natural Schima superba stands across a large subtropical region using dendroclimatology. We simulated multi-year accumulative radial growth (GT) over the most recent 5, 10, 15, and 20 years using six distance-independent competition indices in linear mixed-effects models. Our findings revealed that the competition index representing the number of greater competitors than the focal tree (NGR) best explained the 20-year accumulative radial growth (G20) in linear mixed-effects models, with the highest marginal and conditional R2 values (0.39 and 0.70, respectively). Additionally, we found that temperatures in April had significant positive effects on tree radial growth (T4, r = 0.674, P < 0.05; Tmax4, r = 0.655, P < 0.05), while temperature in the coldest month (January) and September and the relative humidity in May had significant negative effects on tree radial growth (T9, r = − 0.434, P < 0.05; Tmin9, r = − 0.465, P < 0.05; Tmin1, r = − 0.349, P < 0.05; RH5, r = − 0.412, P < 0.05), respectively. The best model, which included NGR, Tmin9, Tmin1, and RH5 explained 64 % of the variance in G20, with relative contributions of 71.24 %, 11.24 %, 13 %, and 4.5 % respectively. These results suggest that competition and temperature are key drivers of radial growth in Schima superba within these humid subtropical forests. Our findings also indicate that appropriate thinning practices targeting large trees could enhance radial growth, helping these forests adapt to climatic warming and increasing aridity.
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引用次数: 0
Identification of region- and species-specific site conditions affecting drought vulnerability of young planted forests: An analysis of forest insurance data in Japan
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113290
Kenta Iwasaki, Satoru Suzuki, Hiroyuki Tobita, Takafumi Katsushima
Due to the increasing frequency of extreme weather events, drought damage to trees threatens forestry production and forest ecosystems worldwide. Assessing the site conditions under which trees are vulnerable to drought damage provides key information for the establishment of countermeasures to prevent such damage. This study aimed to clarify the differences in drought vulnerability of young planted forests between regions and species by using forest insurance claims from all over Japan as a damage indicator. We targeted the two most damaged species in two of the most drought-affected regions from 2016 to 2021. Although landform and soil type were found to be influential factors in the Kamikawa Subprefecture of Hokkaido, these factors did not affect the drought damage in Yamaguchi Prefecture. In Kamikawa, the drought damage risk was high for Larix kaempferi on river terraces and for Abies sachalinensis on mountain areas with compacted brown forest soil. Clayey soil, which can prevent plants from absorbing water, has been known to distribute on the terraces and the mountains with compacted soil in Kamikawa. Therefore, our analysis identified clayey soil as a cause of drought vulnerability in Kamikawa. In addition, L. kaempferi was suggested to be especially vulnerable on flat terraces with less permeable clayey soil due to root damage associated with excessive soil moisture before drought. This study demonstrated that forest insurance can be used not only for damage compensation, but also as a source of information for identifying region- and species-specific risk factors for meteorological damage in forests.
{"title":"Identification of region- and species-specific site conditions affecting drought vulnerability of young planted forests: An analysis of forest insurance data in Japan","authors":"Kenta Iwasaki,&nbsp;Satoru Suzuki,&nbsp;Hiroyuki Tobita,&nbsp;Takafumi Katsushima","doi":"10.1016/j.ecolind.2025.113290","DOIUrl":"10.1016/j.ecolind.2025.113290","url":null,"abstract":"<div><div>Due to the increasing frequency of extreme weather events, drought damage to trees threatens forestry production and forest ecosystems worldwide. Assessing the site conditions under which trees are vulnerable to drought damage provides key information for the establishment of countermeasures to prevent such damage. This study aimed to clarify the differences in drought vulnerability of young planted forests between regions and species by using forest insurance claims from all over Japan as a damage indicator. We targeted the two most damaged species in two of the most drought-affected regions from 2016 to 2021. Although landform and soil type were found to be influential factors in the Kamikawa Subprefecture of Hokkaido, these factors did not affect the drought damage in Yamaguchi Prefecture. In Kamikawa, the drought damage risk was high for <em>Larix kaempferi</em> on river terraces and for <em>Abies sachalinensis</em> on mountain areas with compacted brown forest soil. Clayey soil, which can prevent plants from absorbing water, has been known to distribute on the terraces and the mountains with compacted soil in Kamikawa. Therefore, our analysis identified clayey soil as a cause of drought vulnerability in Kamikawa. In addition, <em>L. kaempferi</em> was suggested to be especially vulnerable on flat terraces with less permeable clayey soil due to root damage associated with excessive soil moisture before drought. This study demonstrated that forest insurance can be used not only for damage compensation, but also as a source of information for identifying region- and species-specific risk factors for meteorological damage in forests.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113290"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Response of streamflow components and evapotranspiration to changes in tree species composition in a subboreal permafrost watershed in the Greater Khingan Mountains of Northeastern China
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113295
Peng Hu , Zhipeng Xu , Xiuling Man , Liangliang Duan , Tijiu Cai
Changes in watershed water resources are often linked to land use changes, but the influence of forest structure, especially the composition of tree species, plays a crucial role in hydrological processes. This impact is particularly pronounced in the Greater Khingan Mountains, where forest cover has remained consistently high over time. Understanding and quantifying how variations in tree species composition affect watershed hydrology is essential for effective management and conservation efforts in this region. This study utilized daily runoff, baseflow separation, and various remote sensing evapotranspiration data to develop an accurate SWAT model for the Tahe River Basin, a typical forest watershed in the Greater Khingan Mountains. We assessed how the proportions of the dominant tree species, Larix gmelinii and Betula platyphylla, influence streamflow components and evapotranspiration. The results show that increased proportion of Larix gmelinii significantly enhances the hydrological function. Specifically, a 10% increase in Larix gmelinii leads to a 0.64 mm decrease in evapotranspiration, and increases runoff and baseflow by 0.66 mm and 4.98 mm, respectively. The effects of the conversion between Larix gmelinii and Betula platyphylla on these hydrological components become more pronounced under wetter conditions. Simulations based on two CMIP6 future climate scenarios indicate a trend towards warmer and wetter conditions in the Tahe River Basin, leading to further increases in runoff and evapotranspiration. Larix gmelinii is crucial for maintaining future baseflow, to stabilize baseflow and manage extreme drought events, Larix gmelinii proportions of 30% under SSP245 and 90% under SSP585 are recommended. The findings reveal the sensitivity of subboreal permafrost hydrology to forest composition changes and offer critical insights for climate adaptation strategies. Additionally, they emphasize the importance of restoring Larix gmelinii forests to enhance the hydrological function.
{"title":"Response of streamflow components and evapotranspiration to changes in tree species composition in a subboreal permafrost watershed in the Greater Khingan Mountains of Northeastern China","authors":"Peng Hu ,&nbsp;Zhipeng Xu ,&nbsp;Xiuling Man ,&nbsp;Liangliang Duan ,&nbsp;Tijiu Cai","doi":"10.1016/j.ecolind.2025.113295","DOIUrl":"10.1016/j.ecolind.2025.113295","url":null,"abstract":"<div><div>Changes in watershed water resources are often linked to land use changes, but the influence of forest structure, especially the composition of tree species, plays a crucial role in hydrological processes. This impact is particularly pronounced in the Greater Khingan Mountains, where forest cover has remained consistently high over time. Understanding and quantifying how variations in tree species composition affect watershed hydrology is essential for effective management and conservation efforts in this region. This study utilized daily runoff, baseflow separation, and various remote sensing evapotranspiration data to develop an accurate SWAT model for the Tahe River Basin, a typical forest watershed in the Greater Khingan Mountains. We assessed how the proportions of the dominant tree species, <em>Larix gmelinii</em> and <em>Betula platyphylla</em>, influence streamflow components and evapotranspiration. The results show that increased proportion of <em>Larix gmelinii</em> significantly enhances the hydrological function. Specifically, a 10% increase in <em>Larix gmelinii</em> leads to a 0.64 mm decrease in evapotranspiration, and increases runoff and baseflow by 0.66 mm and 4.98 mm, respectively. The effects of the conversion between <em>Larix gmelinii</em> and <em>Betula platyphylla</em> on these hydrological components become more pronounced under wetter conditions. Simulations based on two CMIP6 future climate scenarios indicate a trend towards warmer and wetter conditions in the Tahe River Basin, leading to further increases in runoff and evapotranspiration. <em>Larix gmelinii</em> is crucial for maintaining future baseflow, to stabilize baseflow and manage extreme drought events, <em>Larix gmelinii</em> proportions of 30% under SSP245 and 90% under SSP585 are recommended. The findings reveal the sensitivity of subboreal permafrost hydrology to forest composition changes and offer critical insights for climate adaptation strategies. Additionally, they emphasize the importance of restoring <em>Larix gmelinii</em> forests to enhance the hydrological function.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113295"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent identification of flood risks and resilience planning in piedmont areas with nature-based solutions
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113274
Jian Tian , Tiankai Xiao , Suiping Zeng
Global warming has led to frequent rainfall and flood disasters. The presence of warm and humid air currents significantly contributes to the intensity of rainfall in piedmont areas, thereby exposing them to heightened risks of waterlogging and flash floods. In response, there is a growing inclination towards adopting nature-based solutions (NbS) for effective flood regulation. This study proposes a kind of NbS for flood management in the piedmont area: using the SCS-CN hydrological model to measure the supply of flood regulation ecosystem service (FRES) in the study area, while employing the random forest model to enhance the accuracy of FRES demand assessment. The matching degree between FRES supply and demand was analyzed at two granularities of sub-catchments and grids. Ultimately, the supply–demand relationship was optimized in terms of both in-situ services and directional services. Taking Fangshan District and Zhuozhou City in China as a case study, the findings demonstrate that: (1) The random forest model can accurately predict the inundation probability across the entire domain using limited data, with areas of highest hazard typically characterized by high construction intensity, low vegetation cover, and low topography. (2) At the sub-catchment granularity, the low supply-high demand areas exhibit a faceted distribution within urban built-up areas and the transition area between mountains and plains. At the grid granularity, the low supply-high demand areas are distributed in a point-like manner in high-intensity development lots. (3) Based on the results of supply–demand matching, a zoning management scheme integrating NbS for ecological protection, restoration, and flood control interventions is proposed. A total of 31 flood regulation service flow corridors were identified along with optimization strategies provided. The results of the study can inform flood resilience planning in piedmont areas from the perspective of promoting a balance between FRES supply and demand.
{"title":"Intelligent identification of flood risks and resilience planning in piedmont areas with nature-based solutions","authors":"Jian Tian ,&nbsp;Tiankai Xiao ,&nbsp;Suiping Zeng","doi":"10.1016/j.ecolind.2025.113274","DOIUrl":"10.1016/j.ecolind.2025.113274","url":null,"abstract":"<div><div>Global warming has led to frequent rainfall and flood disasters. The presence of warm and humid air currents significantly contributes to the intensity of rainfall in piedmont areas, thereby exposing them to heightened risks of waterlogging and flash floods. In response, there is a growing inclination towards adopting nature-based solutions (NbS) for effective flood regulation. This study proposes a kind of NbS for flood management in the piedmont area: using the SCS-CN hydrological model to measure the supply of flood regulation ecosystem service (FRES) in the study area, while employing the random forest model to enhance the accuracy of FRES demand assessment. The matching degree between FRES supply and demand was analyzed at two granularities of sub-catchments and grids. Ultimately, the supply–demand relationship was optimized in terms of both in-situ services and directional services. Taking Fangshan District and Zhuozhou City in China as a case study, the findings demonstrate that: (1) The random forest model can accurately predict the inundation probability across the entire domain using limited data, with areas of highest hazard typically characterized by high construction intensity, low vegetation cover, and low topography. (2) At the sub-catchment granularity, the low supply-high demand areas exhibit a faceted distribution within urban built-up areas and the transition area between mountains and plains. At the grid granularity, the low supply-high demand areas are distributed in a point-like manner in high-intensity development lots. (3) Based on the results of supply–demand matching, a zoning management scheme integrating NbS for ecological protection, restoration, and flood control interventions is proposed. A total of 31 flood regulation service flow corridors were identified along with optimization strategies provided. The results of the study can inform flood resilience planning in piedmont areas from the perspective of promoting a balance between FRES supply and demand.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113274"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Regional variations in lake areas in China due to human and natural environmental factors since 1990
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113307
Haowei Xu , Fei Zhang , Chi Yung Jim , Ngai Weng Chan , Mou Leong Tan , Lifei Wei , Xinwen Lin , Guanghui Hu , Shuting Wang , Qinghua Qiao
Lakes indicate and regulate global environmental changes and regional climate. China’s highly uneven lake distribution and pronounced spatial variations in lake-area changes have remained unclear. The study aimed to understand the patterns and underlying drivers of lake-area changes in China over the past 34 years, focusing on regional variations influenced by climatic (temperature, precipitation, and climate water deficit), hydrological (runoff, snow water equivalent, palmer drought severity index, and soil moisture content), and human (farmland area, building area, fractional vegetation cover, population, gross value of industrial output, total output value of primary production, and gross domestic product) factors. The Google Earth Engine (GEE) platform and Landsat series remote sensing images were enlisted. Catering to regional variations in natural and cultural traits, five water indices extracted the areas of lakes and reservoirs larger than 50 km2 in China’s five major lake regions. Factor analysis and Mann-Kendall trend analysis identified relevant drivers. Mann-Kendall trend analysis explored the influence of factors on abrupt changes in lake area. Based on the correlation strength identified through factor analysis, factors weakly correlated with lake area were excluded, thereby reducing redundancy in the input for PLS-SEM. Finally, Partial Least Squares Structural Equation Modeling (PLS-SEM) quantitatively investigated the complex relationships and interactions among the potential factors. The results indicated differential extraction effectiveness of the five water indices for the lake regions. MNDWI effectively extracted lakes in the Qinghai-Tibet Plateau Lake Region (QTP_LR) and Northeast Plain and Mountain Lake Region (NPM_LR). NDWI, WI2019, and AWEI performed the best in the Eastern Plain Lake Region (EP_LR), Mong-Xin Plateau Lake Region (MXP_LR), and Yunnan-Guizhou Plateau Lake Region (YGP_LR), respectively. From 1990 to 2023, the trends in lake-area changes varied across regions. EP_LR shrank continually, whereas MXP_LR and QTP_LR expanded significantly. NPM_LR initially shrank and then expanded, whereas YGP_LR remained relatively stable. The responses of lake-area changes to drivers varied notably across regions, necessitating variable screening to reduce SEM model redundancy. The influence of natural (climatic and hydrological) and human factors on lake areas differed among regions. QTP_LR responded strongly to climatic factors, while other regions were more sensitive to human factors. The findings offered a theoretical foundation for lake management practices in different regions to facilitate the formulation of regional water use and conservation policies.
{"title":"Regional variations in lake areas in China due to human and natural environmental factors since 1990","authors":"Haowei Xu ,&nbsp;Fei Zhang ,&nbsp;Chi Yung Jim ,&nbsp;Ngai Weng Chan ,&nbsp;Mou Leong Tan ,&nbsp;Lifei Wei ,&nbsp;Xinwen Lin ,&nbsp;Guanghui Hu ,&nbsp;Shuting Wang ,&nbsp;Qinghua Qiao","doi":"10.1016/j.ecolind.2025.113307","DOIUrl":"10.1016/j.ecolind.2025.113307","url":null,"abstract":"<div><div>Lakes indicate and regulate global environmental changes and regional climate. China’s highly uneven lake distribution and pronounced spatial variations in lake-area changes have remained unclear. The study aimed to understand the patterns and underlying drivers of lake-area changes in China over the past 34 years, focusing on regional variations influenced by climatic (temperature, precipitation, and climate water deficit), hydrological (runoff, snow water equivalent, palmer drought severity index, and soil moisture content), and human (farmland area, building area, fractional vegetation cover, population, gross value of industrial output, total output value of primary production, and gross domestic product) factors. The Google Earth Engine (GEE) platform and Landsat series remote sensing images were enlisted. Catering to regional variations in natural and cultural traits, five water indices extracted the areas of lakes and reservoirs larger than 50 km2 in China’s five major lake regions. Factor analysis and Mann-Kendall trend analysis identified relevant drivers. Mann-Kendall trend analysis explored the influence of factors on abrupt changes in lake area. Based on the correlation strength identified through factor analysis, factors weakly correlated with lake area were excluded, thereby reducing redundancy in the input for PLS-SEM. Finally, Partial Least Squares Structural Equation Modeling (PLS-SEM) quantitatively investigated the complex relationships and interactions among the potential factors. The results indicated differential extraction effectiveness of the five water indices for the lake regions. MNDWI effectively extracted lakes in the Qinghai-Tibet Plateau Lake Region (QTP_LR) and Northeast Plain and Mountain Lake Region (NPM_LR). NDWI, WI2019, and AWEI performed the best in the Eastern Plain Lake Region (EP_LR), Mong-Xin Plateau Lake Region (MXP_LR), and Yunnan-Guizhou Plateau Lake Region (YGP_LR), respectively. From 1990 to 2023, the trends in lake-area changes varied across regions. EP_LR shrank continually, whereas MXP_LR and QTP_LR expanded significantly. NPM_LR initially shrank and then expanded, whereas YGP_LR remained relatively stable. The responses of lake-area changes to drivers varied notably across regions, necessitating variable screening to reduce SEM model redundancy. The influence of natural (climatic and hydrological) and human factors on lake areas differed among regions. QTP_LR responded strongly to climatic factors, while other regions were more sensitive to human factors. The findings offered a theoretical foundation for lake management practices in different regions to facilitate the formulation of regional water use and conservation policies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113307"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reliability of canopy photography for forest ecology and biodiversity studies
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113293
Anouk von Meijenfeldt , Francesco Chianucci , Francesca Rigo , Jente Ottenburghs , Andreas Hilpold , Marco Mina
Understory is a key component of forest biodiversity. The structure of the forest stand and the horizontal composition of the canopy play a major role on the light regime of the understory, which in turn affects the abundance and the diversity of the understory plant community. Reliable assessments of canopy structural attributes are essential for forest research and biodiversity monitoring programs, as well as to study the relationship between canopy and understory plant communities. Canopy photography is a widely used method but it is still not clear which photographic techniques is better suited to capture canopy attributes at stand-level that can be relevant in forest biodiversity studies. For this purpose, we collected canopy structure and understory plant diversity data on 51 forest sites in the north-eastern Italian Alps, encompassing a diversity of forest types from low-elevation deciduous, to mixed montane stands to subalpine coniferous forests. Canopy images were acquired using both digital cover (DCP) and hemispherical (DHP) photography, and analysed canopy structural attributes. These attributes were then compared to tree species composition data to evaluate whether they were appropriate to differentiate between forest types. Additionally, we tested what canopy attributes derived from DCP and DHP best explained the species composition of vascular plants growing in the understory. We found that hemispherical canopy photography was most suitable to capture differences in forest types, which was best expressed by variables such as leaf inclination angle and canopy openness. On our sites, DHP-based canopy attributes were also able to better distinguish between different conifer forests. Leaf clumping was the most important attribute for determining plant species distribution of the understory, indicating that diverse gap structures create different microclimate conditions enhancing diverse plant species with different ecological strategies. This study supports the reliability of canopy photography to derive meaningful indicators in forest and biodiversity research, but also provide insights for increasing understory diversity in managed forests of high conservation value.
林下植物是森林生物多样性的关键组成部分。林分的结构和树冠的水平组成对林下的光照制度起着重要作用,进而影响林下植物群落的丰度和多样性。树冠结构属性的可靠评估对于森林研究和生物多样性监测计划以及研究树冠与林下植物群落之间的关系至关重要。树冠摄影是一种广泛使用的方法,但目前还不清楚哪种摄影技术更适合捕捉与森林生物多样性研究相关的林分级树冠属性。为此,我们在意大利阿尔卑斯山东北部的 51 个森林地点收集了树冠结构和林下植物多样性数据,包括从低海拔落叶林、山地混交林到亚高山针叶林等多种森林类型。利用数字覆盖(DCP)和半球(DHP)摄影技术获取了树冠图像,并对树冠结构属性进行了分析。然后将这些属性与树种组成数据进行比较,以评估它们是否适合用于区分森林类型。此外,我们还测试了从 DCP 和 DHP 导出的树冠属性最能解释生长在林下的维管植物的物种组成。我们发现,半球形冠层摄影最适合捕捉森林类型的差异,而叶片倾角和冠层开阔度等变量最能体现这种差异。在我们的研究地点,基于 DHP 的树冠属性也能更好地区分不同的针叶林。叶片丛生是确定林下植物物种分布的最重要属性,这表明不同的间隙结构创造了不同的小气候条件,从而促进了具有不同生态策略的植物物种的多样性。这项研究证明了冠层摄影在森林和生物多样性研究中得出有意义指标的可靠性,同时也为在具有高保护价值的森林管理中增加林下多样性提供了启示。
{"title":"Reliability of canopy photography for forest ecology and biodiversity studies","authors":"Anouk von Meijenfeldt ,&nbsp;Francesco Chianucci ,&nbsp;Francesca Rigo ,&nbsp;Jente Ottenburghs ,&nbsp;Andreas Hilpold ,&nbsp;Marco Mina","doi":"10.1016/j.ecolind.2025.113293","DOIUrl":"10.1016/j.ecolind.2025.113293","url":null,"abstract":"<div><div>Understory is a key component of forest biodiversity. The structure of the forest stand and the horizontal composition of the canopy play a major role on the light regime of the understory, which in turn affects the abundance and the diversity of the understory plant community. Reliable assessments of canopy structural attributes are essential for forest research and biodiversity monitoring programs, as well as to study the relationship between canopy and understory plant communities. Canopy photography is a widely used method but it is still not clear which photographic techniques is better suited to capture canopy attributes at stand-level that can be relevant in forest biodiversity studies. For this purpose, we collected canopy structure and understory plant diversity data on 51 forest sites in the north-eastern Italian Alps, encompassing a diversity of forest types from low-elevation deciduous, to mixed montane stands to subalpine coniferous forests. Canopy images were acquired using both digital cover (DCP) and hemispherical (DHP) photography, and analysed canopy structural attributes. These attributes were then compared to tree species composition data to evaluate whether they were appropriate to differentiate between forest types. Additionally, we tested what canopy attributes derived from DCP and DHP best explained the species composition of vascular plants growing in the understory. We found that hemispherical canopy photography was most suitable to capture differences in forest types, which was best expressed by variables such as leaf inclination angle and canopy openness. On our sites, DHP-based canopy attributes were also able to better distinguish between different conifer forests. Leaf clumping was the most important attribute for determining plant species distribution of the understory, indicating that diverse gap structures create different microclimate conditions enhancing diverse plant species with different ecological strategies. This study supports the reliability of canopy photography to derive meaningful indicators in forest and biodiversity research, but also provide insights for increasing understory diversity in managed forests of high conservation value.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113293"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantifying impacts of climate and land use changes on ecosystem services from statistic perspective
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113285
Wei Jiang, Zhongguo Shu, Yihe Lv, Xukun Su, Xing Wu, Cong Wang, Kai Wang, Siqi Sun, Guohua Liu
Quantitatively analyzing the impacts of climate and land use changes on ecosystem services has drawn increasing attention over the past decade. However, the assessment approach in the existing studies highly depended on scenarios and modeling, which is unable to distinguish the influences of different land use types and different climate characteristics and to quantify the absolute influence levels of multiple driving factors. Here, we adopted the partial correlation analysis for quantifying relationships between ecosystem services and the seemingly unrelated regression model for assessing impacts of climate and land use changes on ecosystem services. Taking Hainan Tibetan Autonomous Prefecture of Qinghai Province in China from 2000 to 2019 as a case study, we focused on four ecosystem services including material provisioning, climate regulation, water regulation, and soil protection and five driving factors including precipitation, temperature, cropland area, forest area, and grassland area. The results identified the positively dominant driving factor of precipitation on material provisioning, water regulation, and soil protection, and the negatively dominant driving factor of cropland area on material provisioning, climate regulation, and water regulation. The synergy relationships were found between material provisioning and climate regulation, between climate regulation and water regulation, and between water regulation and soil protection, while the trade-off relationships were found between material provisioning and water regulation, and between material provisioning and soil protection. These findings support local policy-making, suggesting that management of climate-related risks and land use plan with a restriction on cropland expansion are expected.
{"title":"Quantifying impacts of climate and land use changes on ecosystem services from statistic perspective","authors":"Wei Jiang,&nbsp;Zhongguo Shu,&nbsp;Yihe Lv,&nbsp;Xukun Su,&nbsp;Xing Wu,&nbsp;Cong Wang,&nbsp;Kai Wang,&nbsp;Siqi Sun,&nbsp;Guohua Liu","doi":"10.1016/j.ecolind.2025.113285","DOIUrl":"10.1016/j.ecolind.2025.113285","url":null,"abstract":"<div><div>Quantitatively analyzing the impacts of climate and land use changes on ecosystem services has drawn increasing attention over the past decade. However, the assessment approach in the existing studies highly depended on scenarios and modeling, which is unable to distinguish the influences of different land use types and different climate characteristics and to quantify the absolute influence levels of multiple driving factors. Here, we adopted the partial correlation analysis for quantifying relationships between ecosystem services and the seemingly unrelated regression model for assessing impacts of climate and land use changes on ecosystem services. Taking Hainan Tibetan Autonomous Prefecture of Qinghai Province in China from 2000 to 2019 as a case study, we focused on four ecosystem services including material provisioning, climate regulation, water regulation, and soil protection and five driving factors including precipitation, temperature, cropland area, forest area, and grassland area. The results identified the positively dominant driving factor of precipitation on material provisioning, water regulation, and soil protection, and the negatively dominant driving factor of cropland area on material provisioning, climate regulation, and water regulation. The synergy relationships were found between material provisioning and climate regulation, between climate regulation and water regulation, and between water regulation and soil protection, while the trade-off relationships were found between material provisioning and water regulation, and between material provisioning and soil protection. These findings support local policy-making, suggesting that management of climate-related risks and land use plan with a restriction on cropland expansion are expected.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113285"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating and transferring social value of ecosystem services in urban wetland parks using the SolVES model
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113270
Bingyan Chen , Yao Lu , Muhammad Imran , Nawal Abdalla Adam , Jin Jang
Urban wetland parks serve as essential green spaces that provide cultural ecosystem services, yet their social value remains insufficiently studied. This research evaluates and transfers the social value of ecosystem services in urban wetland parks using the Social Values for Ecosystem Services (SolVES) model, offering a deeper understanding of how environmental factors shape human perceptions. The study focuses on three wetland parks in China: Nanhai National Wetland Park (NNWP) in Guangdong, Donghu Wetland Park (DWP) in Wuhan, and Qinglonghu Wetland Park (QWP) in Beijing. Data were collected through on-site surveys conducted at DWP between March 2021 and December 2023, incorporating visitor preferences and spatial analysis. The results indicate that scenic beauty, recreation, and cultural heritage values are the most prominent, with social values strongly correlated with proximity to water bodies, green spaces, and pedestrian pathways. Gender and age significantly influenced perceptions, with younger respondents placing higher emphasis on recreational benefits, while older individuals valued spiritual and therapeutic aspects. The application of the social value transfer model demonstrated high reliability, successfully predicting ecosystem service values at NNWP and QWP. These findings highlight the importance of integrating ecological and cultural elements in wetland park design to enhance visitor experience and conservation efforts. This study provides a scientific foundation for urban planners and environmental policymakers to develop strategies that maximize the social benefits of wetland parks, ensuring their sustainability in rapidly urbanizing regions.
{"title":"Evaluating and transferring social value of ecosystem services in urban wetland parks using the SolVES model","authors":"Bingyan Chen ,&nbsp;Yao Lu ,&nbsp;Muhammad Imran ,&nbsp;Nawal Abdalla Adam ,&nbsp;Jin Jang","doi":"10.1016/j.ecolind.2025.113270","DOIUrl":"10.1016/j.ecolind.2025.113270","url":null,"abstract":"<div><div>Urban wetland parks serve as essential green spaces that provide cultural ecosystem services, yet their social value remains insufficiently studied. This research evaluates and transfers the social value of ecosystem services in urban wetland parks using the Social Values for Ecosystem Services (SolVES) model, offering a deeper understanding of how environmental factors shape human perceptions. The study focuses on three wetland parks in China: Nanhai National Wetland Park (NNWP) in Guangdong, Donghu Wetland Park (DWP) in Wuhan, and Qinglonghu Wetland Park (QWP) in Beijing. Data were collected through on-site surveys conducted at DWP between March 2021 and December 2023, incorporating visitor preferences and spatial analysis. The results indicate that scenic beauty, recreation, and cultural heritage values are the most prominent, with social values strongly correlated with proximity to water bodies, green spaces, and pedestrian pathways. Gender and age significantly influenced perceptions, with younger respondents placing higher emphasis on recreational benefits, while older individuals valued spiritual and therapeutic aspects. The application of the social value transfer model demonstrated high reliability, successfully predicting ecosystem service values at NNWP and QWP. These findings highlight the importance of integrating ecological and cultural elements in wetland park design to enhance visitor experience and conservation efforts. This study provides a scientific foundation for urban planners and environmental policymakers to develop strategies that maximize the social benefits of wetland parks, ensuring their sustainability in rapidly urbanizing regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113270"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The response of ecosystem services to ecological spatial network patterns in China’s arid and semi-arid regions
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113300
Yu Wang , Qiang Yu , Buyanbaatar Avirmed , Jikai Zhao , Weijie Sun , Yilin Liu , Huanjia Cui , Mookhor Khishigjargal , Sharavjamts Oyuntuya , Naranbat Dambadarjaa , Ganbold Bayanmunkh
China’s arid and semi-arid regions are facing severe land degradation. To combat desertification, China has launched large-scale ecological engineering, such as the Three-North Shelterbelt Program (TNSP). This study aims to uncover the feedback mechanisms of ecological spatial networks on ecological engineering effectiveness and analyze the spatial patterns of ecological sources and their ecosystem service responses. It also optimizes techniques for sand fixation, carbon sequestration, and desertification prevention. This study uses multi-source remote sensing and vector data (1986–2021) and complex network theory to extract ecological spatial networks and analyze TNSP’s spatiotemporal trends. The network motif discovery algorithm identifies spatial patterns and explores the relationships between pattern structure, distribution, and topological properties. Finally, it analyzes the response mechanisms between spatial patterns and ecosystem functions. The results show that since the TNSP’s implementation, the number of ecological sources (up by 653, with an area increase of 78,014 km2) and corridors (up by 1,579, with a length increase of 29,591 km) have increased. Spatiotemporal changes in ecological networks reflect ecological engineering effectiveness and guide future optimization. The star, core-linked loop, and triangle patterns can enhance network stability. The star pattern exhibits the highest degree (4.66) and betweenness centrality (53,086), while the triangle and core-linked loop patterns have higher clustering coefficients of 0.315 and 0.250, respectively. Forests demonstrate the strongest sand fixation and carbon sequestration capacities across different patterns. Shrub sources under linear and star patterns significantly enhance ecological value and network stability.
{"title":"The response of ecosystem services to ecological spatial network patterns in China’s arid and semi-arid regions","authors":"Yu Wang ,&nbsp;Qiang Yu ,&nbsp;Buyanbaatar Avirmed ,&nbsp;Jikai Zhao ,&nbsp;Weijie Sun ,&nbsp;Yilin Liu ,&nbsp;Huanjia Cui ,&nbsp;Mookhor Khishigjargal ,&nbsp;Sharavjamts Oyuntuya ,&nbsp;Naranbat Dambadarjaa ,&nbsp;Ganbold Bayanmunkh","doi":"10.1016/j.ecolind.2025.113300","DOIUrl":"10.1016/j.ecolind.2025.113300","url":null,"abstract":"<div><div>China’s arid and semi-arid regions are facing severe land degradation. To combat desertification, China has launched large-scale ecological engineering, such as the Three-North Shelterbelt Program (TNSP). This study aims to uncover the feedback mechanisms of ecological spatial networks on ecological engineering effectiveness and analyze the spatial patterns of ecological sources and their ecosystem service responses. It also optimizes techniques for sand fixation, carbon sequestration, and desertification prevention. This study uses multi-source remote sensing and vector data (1986–2021) and complex network theory to extract ecological spatial networks and analyze TNSP’s spatiotemporal trends. The network motif discovery algorithm identifies spatial patterns and explores the relationships between pattern structure, distribution, and topological properties. Finally, it analyzes the response mechanisms between spatial patterns and ecosystem functions. The results show that since the TNSP’s implementation, the number of ecological sources (up by 653, with an area increase of 78,014 km<sup>2</sup>) and corridors (up by 1,579, with a length increase of 29,591 km) have increased. Spatiotemporal changes in ecological networks reflect ecological engineering effectiveness and guide future optimization. The star, core-linked loop, and triangle patterns can enhance network stability. The star pattern exhibits the highest degree (4.66) and betweenness centrality (53,086), while the triangle and core-linked loop patterns have higher clustering coefficients of 0.315 and 0.250, respectively. Forests demonstrate the strongest sand fixation and carbon sequestration capacities across different patterns<strong>.</strong> Shrub sources under linear and star patterns significantly enhance ecological value and network stability.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113300"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ecological risk assessment of chlorpyrifos in Laizhou Bay based on species sensitivity distributions analysis
IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-03-01 DOI: 10.1016/j.ecolind.2025.113322
Jianlong Ge , Xinxin Zhang , Jinjin Wang , Meijie Liao , Bin Xia , Xiaojun Rong , Bin Li , Zheng Zhang , Yongxiang Yu , Chunyuan Wang , Yingeng Wang , Xuexi Tang
Chlorpyrifos, a widely used organophosphorus insecticide, poses a potential hazard to marine ecosystems due to its toxicity to aquatic organisms. However, the ecological risks of chlorpyrifos to marine organisms remain unclear. This study employed species sensitivity distributions (SSDs) to assess the ecotoxicological effects of chlorpyrifos on marine ecosystems, with a focus study in Laizhou Bay, China. Our results revealed the hazardous concentration for 5 % of species (HC5) for indigenous, non-indigenous, and all marine species were 1.341, 0.0231, and 0.0872 μg/L, respectively. The predicted no-effect concentrations (PNECs) demonstrate significant temporal variation, with short-term values of 0.6705, 0.0116, and 0.0436 μg/L, and long-term values of 0.0838, 0.0015, and 0.0055 μg/L for indigenous, non-indigenous, and all species, respectively. Non-indigenous species exhibited higher sensitivity to chlorpyrifos than indigenous species. Risk assessment based on risk quotients (RQs) revealed distinct temporal patterns: short-term RQs ranged from 0.001 to 0.094 across different species groups, while long-term RQs showed higher values ranging from 0.004 to 0.727. These findings indicated minimal short-term ecological risk, but moderate long-term risk, particularly for non-indigenous species. Our study provides compelling evidence that chlorpyrifos poses a potential threat to the ecosystem of Laizhou Bay. These findings offer crucial scientific data for establishing water quality standards for chlorpyrifos in China and developing effective management strategies for pesticide pollution in marine environments.
{"title":"Ecological risk assessment of chlorpyrifos in Laizhou Bay based on species sensitivity distributions analysis","authors":"Jianlong Ge ,&nbsp;Xinxin Zhang ,&nbsp;Jinjin Wang ,&nbsp;Meijie Liao ,&nbsp;Bin Xia ,&nbsp;Xiaojun Rong ,&nbsp;Bin Li ,&nbsp;Zheng Zhang ,&nbsp;Yongxiang Yu ,&nbsp;Chunyuan Wang ,&nbsp;Yingeng Wang ,&nbsp;Xuexi Tang","doi":"10.1016/j.ecolind.2025.113322","DOIUrl":"10.1016/j.ecolind.2025.113322","url":null,"abstract":"<div><div>Chlorpyrifos, a widely used organophosphorus insecticide, poses a potential hazard to marine ecosystems due to its toxicity to aquatic organisms. However, the ecological risks of chlorpyrifos to marine organisms remain unclear. This study employed species sensitivity distributions (SSDs) to assess the ecotoxicological effects of chlorpyrifos on marine ecosystems, with a focus study in Laizhou Bay, China. Our results revealed the hazardous concentration for 5 % of species (HC<sub>5</sub>) for indigenous, non-indigenous, and all marine species were 1.341, 0.0231, and 0.0872 μg/L, respectively. The predicted no-effect concentrations (PNECs) demonstrate significant temporal variation, with short-term values of 0.6705, 0.0116, and 0.0436 μg/L, and long-term values of 0.0838, 0.0015, and 0.0055 μg/L for indigenous, non-indigenous, and all species, respectively. Non-indigenous species exhibited higher sensitivity to chlorpyrifos than indigenous species. Risk assessment based on risk quotients (RQs) revealed distinct temporal patterns: short-term RQs ranged from 0.001 to 0.094 across different species groups, while long-term RQs showed higher values ranging from 0.004 to 0.727. These findings indicated minimal short-term ecological risk, but moderate long-term risk, particularly for non-indigenous species. Our study provides compelling evidence that chlorpyrifos poses a potential threat to the ecosystem of Laizhou Bay. These findings offer crucial scientific data for establishing water quality standards for chlorpyrifos in China and developing effective management strategies for pesticide pollution in marine environments.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"172 ","pages":"Article 113322"},"PeriodicalIF":7.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Ecological Indicators
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