Quantifying forest stand parameters is crucial in forestry research and environmental monitoring because it provides important factors for analyzing forest structure and comprehending forest resources. And the estimation of crown density and volume has always been a prominent topic in forestry remote sensing. Based on GF-2 remote sensing data, sample plot survey data, and forest resource survey data, this study used the Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) and Pinus massoniana Lamb. as research objects to tackle the key challenges in the use of remote sensing technology. The Boruta feature selection technique, together with multiple stepwise and Cubist regression models, was used to estimate crown density and volume in portions of the research area's stands, introducing novel technological methods for estimating stand parameters. The results show that: 1) the Boruta algorithm is effective at selecting the feature set with the strongest correlation with the dependent variable, which solves the problem of data and the loss of original feature data after dimensionality reduction; 2) using the Cubist method to build the model yields better results than using multiple stepwise regression. The Cubist regression model's coefficient of determination (R2) is all more than 0.67 in the Chinese fir plots and 0.63 in the Pinus massoniana plots. As a result, combining the two methods can increase the estimation accuracy of stand parameters, providing a theoretical foundation and technical support for future study.
{"title":"Optimizing crown density and volume estimation across two coniferous forest types in southern China via Boruta and Cubist methods","authors":"Zhi-Dan Ding, Zhao Sun, Yun Xie, Jing-Jing Qiao, Rui-Ting Liang, Xin Chen, Khadim Hussain, Yu-jun Sun","doi":"10.1093/jpe/rtae039","DOIUrl":"https://doi.org/10.1093/jpe/rtae039","url":null,"abstract":"\u0000 Quantifying forest stand parameters is crucial in forestry research and environmental monitoring because it provides important factors for analyzing forest structure and comprehending forest resources. And the estimation of crown density and volume has always been a prominent topic in forestry remote sensing. Based on GF-2 remote sensing data, sample plot survey data, and forest resource survey data, this study used the Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) and Pinus massoniana Lamb. as research objects to tackle the key challenges in the use of remote sensing technology. The Boruta feature selection technique, together with multiple stepwise and Cubist regression models, was used to estimate crown density and volume in portions of the research area's stands, introducing novel technological methods for estimating stand parameters. The results show that: 1) the Boruta algorithm is effective at selecting the feature set with the strongest correlation with the dependent variable, which solves the problem of data and the loss of original feature data after dimensionality reduction; 2) using the Cubist method to build the model yields better results than using multiple stepwise regression. The Cubist regression model's coefficient of determination (R2) is all more than 0.67 in the Chinese fir plots and 0.63 in the Pinus massoniana plots. As a result, combining the two methods can increase the estimation accuracy of stand parameters, providing a theoretical foundation and technical support for future study.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":" 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000487","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}
Yueyan Pan, Lumeng Xie, Ruiyan Shang, Bernard A Engel, Jingqiu Chen, Shijun Zhou, Yi Li, Zhenming Zhang, Mingxiang Zhang, Jiakai Liu
Globalization of social and economic activities has led to the large-scale redistribution of plant species. It is still unclear how the traits aid the successful invasion of alien species. Here, we downloaded global plant trait data on TRY-Plant Trait Database and classified alien species in China into four groups: high, medium, need attention, and harmless according to their distribution and degree of harm to local plant communities based on existed studies. The relationship between plant functional traits and invasion level was clarified, and we established a prediction model based on plant functional traits and taxonomy. The results showed that species with smaller seeds, smaller individuals, lower special leaf area and longer seed bank longevity are more likely to be an invasive species after introduction to foreign ecosystems. In summary, exotic species with longer seedbank longevity and lower seed dry mass are more likely to be invasive in China. We also trained two predictive models to check if we can predict a species’ invasion. Combining the two model together, statistically, we could predict if a species is invasive from its traits and taxonomy with a 91.84% accuracy. This model could help local governments, managers and stakeholders to evaluate shall we introduce some plant species in China.
{"title":"Exotic plant species with longer seed bank longevity and lower seed dry mass are more likely to be invasive in China","authors":"Yueyan Pan, Lumeng Xie, Ruiyan Shang, Bernard A Engel, Jingqiu Chen, Shijun Zhou, Yi Li, Zhenming Zhang, Mingxiang Zhang, Jiakai Liu","doi":"10.1093/jpe/rtae040","DOIUrl":"https://doi.org/10.1093/jpe/rtae040","url":null,"abstract":"\u0000 Globalization of social and economic activities has led to the large-scale redistribution of plant species. It is still unclear how the traits aid the successful invasion of alien species. Here, we downloaded global plant trait data on TRY-Plant Trait Database and classified alien species in China into four groups: high, medium, need attention, and harmless according to their distribution and degree of harm to local plant communities based on existed studies. The relationship between plant functional traits and invasion level was clarified, and we established a prediction model based on plant functional traits and taxonomy. The results showed that species with smaller seeds, smaller individuals, lower special leaf area and longer seed bank longevity are more likely to be an invasive species after introduction to foreign ecosystems. In summary, exotic species with longer seedbank longevity and lower seed dry mass are more likely to be invasive in China. We also trained two predictive models to check if we can predict a species’ invasion. Combining the two model together, statistically, we could predict if a species is invasive from its traits and taxonomy with a 91.84% accuracy. This model could help local governments, managers and stakeholders to evaluate shall we introduce some plant species in China.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"34 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141022409","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}
Coastal wetland ecosystems are increasingly threatened by escalating salinity levels, subjecting plants to salinity stress coupled with interactions in community. Abiotic factors can disrupt the balance between competition and facilitation among plant species. Investigating the effects of different neighboring species and trait plasticity could extend the stress gradient hypothesis and enhance understanding of vegetation distribution and diversity in salt marshes. We conducted a greenhouse experiment and investigated the plastic response of wetland grass Phragmites australis to 7 neighboring plants of 3 functional types (conspecifics, graminoids, and forbs) under soil salinity (0 g/L and10 g/L). Plant height, base diameter, density, leaf thickness, specific leaf area, total and part biomasses were measured. Additionally, the Relative Interaction Index (RII, based on biomass) and the Relative Distance Plasticity Index (RDPI) were calculated. Salinity significantly reduced the biomass, height, density, and diameter of P. australis. The functional types of neighboring plants also significantly affected these growth parameters. The influence of graminoids on P. australis was negative under 0 g/L, but this negative effect shifted to positive facilitation under 10 g/L. The facilitation effect of forbs was amplified under salinity, both supporting the stress gradient hypothesis. The growth traits of P. australis had plastic response to salinity and competition, such as increasing belowground biomass to obtain more water and resources. The RDPI was higher under salt condition than competitive conditions. The plant-plant interaction response to stress varies with plant functional types and traits plasticity.
{"title":"Phenotypic plasticity variations in Phragmites australis under different plant-plant interactions influenced by salinity","authors":"Huijia Song, Xiao Guo, Jingcheng Yang, Lele Liu, Mingyan Li, Jingfeng Wang, Weihua Guo","doi":"10.1093/jpe/rtae035","DOIUrl":"https://doi.org/10.1093/jpe/rtae035","url":null,"abstract":"\u0000 Coastal wetland ecosystems are increasingly threatened by escalating salinity levels, subjecting plants to salinity stress coupled with interactions in community. Abiotic factors can disrupt the balance between competition and facilitation among plant species. Investigating the effects of different neighboring species and trait plasticity could extend the stress gradient hypothesis and enhance understanding of vegetation distribution and diversity in salt marshes. We conducted a greenhouse experiment and investigated the plastic response of wetland grass Phragmites australis to 7 neighboring plants of 3 functional types (conspecifics, graminoids, and forbs) under soil salinity (0 g/L and10 g/L). Plant height, base diameter, density, leaf thickness, specific leaf area, total and part biomasses were measured. Additionally, the Relative Interaction Index (RII, based on biomass) and the Relative Distance Plasticity Index (RDPI) were calculated. Salinity significantly reduced the biomass, height, density, and diameter of P. australis. The functional types of neighboring plants also significantly affected these growth parameters. The influence of graminoids on P. australis was negative under 0 g/L, but this negative effect shifted to positive facilitation under 10 g/L. The facilitation effect of forbs was amplified under salinity, both supporting the stress gradient hypothesis. The growth traits of P. australis had plastic response to salinity and competition, such as increasing belowground biomass to obtain more water and resources. The RDPI was higher under salt condition than competitive conditions. The plant-plant interaction response to stress varies with plant functional types and traits plasticity.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"25 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140658439","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}
Tao Fang, Duo Ye, Ju-juan Gao, Fang-Li Luo, Yao-Jun Zhu, Fei Yu
A belowground bud bank is a collection of asexual propagules produced by the underground storage organs of geophytes. Renewal through belowground bud banks is the main reproductive strategy of geophytes. The belowground bud bank density reflects the potential renewal capacity of geophyte communities. However, the effects of different perturbation regimes and habitats on belowground bud bank density of geophytes are not comprehensively understood. Moreover, whether different types of belowground bud banks respond differently to perturbations is still unclear. For this meta-analysis, relevant papers on effects of environmental perturbations on belowground bud bank density of geophytes were systematically collected. The cumulative effect size of different perturbation regimes and habitats on belowground bud banks among different bud types was analyzed. Overall, the effect of environmental perturbations on belowground bud bank density was small, which may result from opposite or fluctuating responses of bud banks to different perturbations. Drought negatively affected bud bank density. Environmental perturbations decreased rhizome bud density but increased tiller bud density. In wetlands, perturbations decreased belowground bud bank density. However, no significant effect was found for other habitat types. In general, belowground bud banks of geophytes are highly resistant and resilient. Changes in belowground bud bank density depend on the type of perturbations, the habitats in which plants are distributed, and the type of bud banks.
{"title":"Responses of belowground bud bank density of geophytes to environmental perturbations: a meta-analysis","authors":"Tao Fang, Duo Ye, Ju-juan Gao, Fang-Li Luo, Yao-Jun Zhu, Fei Yu","doi":"10.1093/jpe/rtae029","DOIUrl":"https://doi.org/10.1093/jpe/rtae029","url":null,"abstract":"\u0000 A belowground bud bank is a collection of asexual propagules produced by the underground storage organs of geophytes. Renewal through belowground bud banks is the main reproductive strategy of geophytes. The belowground bud bank density reflects the potential renewal capacity of geophyte communities. However, the effects of different perturbation regimes and habitats on belowground bud bank density of geophytes are not comprehensively understood. Moreover, whether different types of belowground bud banks respond differently to perturbations is still unclear. For this meta-analysis, relevant papers on effects of environmental perturbations on belowground bud bank density of geophytes were systematically collected. The cumulative effect size of different perturbation regimes and habitats on belowground bud banks among different bud types was analyzed. Overall, the effect of environmental perturbations on belowground bud bank density was small, which may result from opposite or fluctuating responses of bud banks to different perturbations. Drought negatively affected bud bank density. Environmental perturbations decreased rhizome bud density but increased tiller bud density. In wetlands, perturbations decreased belowground bud bank density. However, no significant effect was found for other habitat types. In general, belowground bud banks of geophytes are highly resistant and resilient. Changes in belowground bud bank density depend on the type of perturbations, the habitats in which plants are distributed, and the type of bud banks.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"63 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140670867","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}
Lang Zheng, Xuan Cao, Zhiyong Yang, Hui Wang, Qiqi Zang, Wenchen Song, Miaogen Shen, Chunwang Xiao
Global climate change is expected to have a significant impact on ecosystems worldwide, especially for alpine meadow ecosystems which are considered as one of the most vulnerable components. However, the effects of global warming on the plant Nitrogen-Phosphorus stoichiometry and resorption in alpine meadow ecosystems remain unclear. Therefore, to investigate the plant Nitrogen-Phosphorus stoichiometry and resorption in alpine meadow ecosystems on the Qinghai-Tibet Plateau, we conducted an artificial warming study using open-top chambers (OTCs) over the 3-years of warming period. We selected three dominant species, four height types of OTCs (0.4 m, 0.6 m, 0.8 m and 1 m) and four warming methods (year-round warming, winter warming, summer-autumn-winter warming and spring-summer-autumn warming in the experiment) in this experiment. In our study, soil temperature significantly increased with increasing the height of OCTs under the different warming methods. Kobresia pygmaea presented an increase in nitrogen (N) limitation and Kobresia humilis presented an increase in phosphorus (P) limitation with increasing temperature, while Potentilla saundersiana was insensitive to temperature changes in terms of nitrogen and phosphorus limitations. Both nitrogen resorption efficiency (NRE):phosphorus resorption efficiency (PRE) and N:P trends in response to rising temperatures were the same direction. The differential responses of chemical stoichiometry of the three species to warming were observed, reflecting that the responses of nitrogen and phosphorus limitations to warming are multifaceted, and the grassland ecosystems may exhibit a certain degree of self-regulatory capability. Our results show that using chemical dosage indicators of a single dominant species to represent the nitrogen and phosphorus limitations of the entire ecosystem is inaccurate, and using N:P to reflect the nutritional limitations might have been somewhat misjudged in the context of global warming.
{"title":"Effects of warming conditions on plant Nitrogen-Phosphorus stoichiometry and resorption of three plant species in alpine meadow ecosystems on the Tibetan Plateau","authors":"Lang Zheng, Xuan Cao, Zhiyong Yang, Hui Wang, Qiqi Zang, Wenchen Song, Miaogen Shen, Chunwang Xiao","doi":"10.1093/jpe/rtae032","DOIUrl":"https://doi.org/10.1093/jpe/rtae032","url":null,"abstract":"\u0000 Global climate change is expected to have a significant impact on ecosystems worldwide, especially for alpine meadow ecosystems which are considered as one of the most vulnerable components. However, the effects of global warming on the plant Nitrogen-Phosphorus stoichiometry and resorption in alpine meadow ecosystems remain unclear. Therefore, to investigate the plant Nitrogen-Phosphorus stoichiometry and resorption in alpine meadow ecosystems on the Qinghai-Tibet Plateau, we conducted an artificial warming study using open-top chambers (OTCs) over the 3-years of warming period. We selected three dominant species, four height types of OTCs (0.4 m, 0.6 m, 0.8 m and 1 m) and four warming methods (year-round warming, winter warming, summer-autumn-winter warming and spring-summer-autumn warming in the experiment) in this experiment. In our study, soil temperature significantly increased with increasing the height of OCTs under the different warming methods. Kobresia pygmaea presented an increase in nitrogen (N) limitation and Kobresia humilis presented an increase in phosphorus (P) limitation with increasing temperature, while Potentilla saundersiana was insensitive to temperature changes in terms of nitrogen and phosphorus limitations. Both nitrogen resorption efficiency (NRE):phosphorus resorption efficiency (PRE) and N:P trends in response to rising temperatures were the same direction. The differential responses of chemical stoichiometry of the three species to warming were observed, reflecting that the responses of nitrogen and phosphorus limitations to warming are multifaceted, and the grassland ecosystems may exhibit a certain degree of self-regulatory capability. Our results show that using chemical dosage indicators of a single dominant species to represent the nitrogen and phosphorus limitations of the entire ecosystem is inaccurate, and using N:P to reflect the nutritional limitations might have been somewhat misjudged in the context of global warming.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"131 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140669215","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}
Shenghong Liu, Zhongmu Li, Kaihong Nie, Sai Lu, Zengyu Yao, Genqian Li
As a main method of forest regeneration, stump sprouting plays a crucial role in forest community succession and vegetation restoration. We aimed to investigate the response of stump sprouting capacity to stubble height, unveil its nutrient-accumulation and allocation strategies, and determine the appropriate stubble height most favorable for stump sprouting of Hippophae rhamnoides ssp. sinensis. Fifteen-year plants with signs of premature aging were coppiced at 0, 10, and 20 cm from the ground level. With the increase in stubble height, the number of stump sprouts increased linearly, and the survival rate decreased linearly. The height, diameter, and cluster width of stump sprouts first increased, reached the highest level at a stubble height of 10 cm, and then decreased. The contents and reserves of N, P, K, Ca, and Mg showed a similar trend as the growth, positively correlating with each other. Compared to the control (no coppicing), the coppicing increased the nutrient element allocation of leaves, vertical roots, and horizontal roots. Magnesium played an important role in stump sprouting. The findings suggest that coppicing changed the accumulation ability and allocation pattern of nutrient elements, and further affected the sprouting ability of stumps. The best stubble height for stump sprouting and nutrient accumulation potential was 11.0-14.0 cm estimated by the regression.
{"title":"Effects of stubble height on stump sprouting and nutrient accumulation and allocation of Hippophae rhamnoides ssp. sinensis","authors":"Shenghong Liu, Zhongmu Li, Kaihong Nie, Sai Lu, Zengyu Yao, Genqian Li","doi":"10.1093/jpe/rtae031","DOIUrl":"https://doi.org/10.1093/jpe/rtae031","url":null,"abstract":"\u0000 As a main method of forest regeneration, stump sprouting plays a crucial role in forest community succession and vegetation restoration. We aimed to investigate the response of stump sprouting capacity to stubble height, unveil its nutrient-accumulation and allocation strategies, and determine the appropriate stubble height most favorable for stump sprouting of Hippophae rhamnoides ssp. sinensis. Fifteen-year plants with signs of premature aging were coppiced at 0, 10, and 20 cm from the ground level. With the increase in stubble height, the number of stump sprouts increased linearly, and the survival rate decreased linearly. The height, diameter, and cluster width of stump sprouts first increased, reached the highest level at a stubble height of 10 cm, and then decreased. The contents and reserves of N, P, K, Ca, and Mg showed a similar trend as the growth, positively correlating with each other. Compared to the control (no coppicing), the coppicing increased the nutrient element allocation of leaves, vertical roots, and horizontal roots. Magnesium played an important role in stump sprouting. The findings suggest that coppicing changed the accumulation ability and allocation pattern of nutrient elements, and further affected the sprouting ability of stumps. The best stubble height for stump sprouting and nutrient accumulation potential was 11.0-14.0 cm estimated by the regression.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"39 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676131","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}
Elevated CO2 and warmer temperatures represent the future environmental conditions in the context of global change. A good understanding of plant response to their combined effects is, therefore, critically important for predicting future plant performance. This study investigated the photosynthetic acclimation of amur linden (Tilia amurensis Rupr.) seedlings (current year, about 60 cm tall), a shade-tolerant tree species in the temperate broadleaf deciduous forest, to the combination of current CO2 concentration and temperature (CC) and the combination of the predicted future CO2 concentration and temperature (FC). The results show that FC promoted aboveground growth, but reduced photosynthetic capacity (Vcmax: maximum rate of RuBP carboxylation and Jmax: maximum photosynthetic electron transport rate). However, the photosynthetic rate measured under the corresponding growth CO2 concentration was still higher under FC than under CC. FC depressed the photosynthetic limiting transition point (Ci-t, An-t) from Rubisco carboxylation to RuBP regeneration, i.e., An-t decreased without a change in Ci-t. FC did not change leaf N concentration but increased the total leaf N content per tree and photosynthetic nitrogen utilization efficiency. This suggests that N utilization, rather than photosynthetic capacity, may play an important role in the acclimation of the species to future climatic conditions. This study provides new insights into the photosynthetic acclimation of amur linden and can be used to predict its possible performance under future climatic conditions.
{"title":"The combination of elevated CO2 and warmer temperature reduces photosynthetic capacity without diluting leaf N concentration in Amur linden (Tilia amurensis Rupr.)","authors":"Lei Wang, Jinping Zheng, Gerong Wang, Q. Dang","doi":"10.1093/jpe/rtae030","DOIUrl":"https://doi.org/10.1093/jpe/rtae030","url":null,"abstract":"\u0000 Elevated CO2 and warmer temperatures represent the future environmental conditions in the context of global change. A good understanding of plant response to their combined effects is, therefore, critically important for predicting future plant performance. This study investigated the photosynthetic acclimation of amur linden (Tilia amurensis Rupr.) seedlings (current year, about 60 cm tall), a shade-tolerant tree species in the temperate broadleaf deciduous forest, to the combination of current CO2 concentration and temperature (CC) and the combination of the predicted future CO2 concentration and temperature (FC). The results show that FC promoted aboveground growth, but reduced photosynthetic capacity (Vcmax: maximum rate of RuBP carboxylation and Jmax: maximum photosynthetic electron transport rate). However, the photosynthetic rate measured under the corresponding growth CO2 concentration was still higher under FC than under CC. FC depressed the photosynthetic limiting transition point (Ci-t, An-t) from Rubisco carboxylation to RuBP regeneration, i.e., An-t decreased without a change in Ci-t. FC did not change leaf N concentration but increased the total leaf N content per tree and photosynthetic nitrogen utilization efficiency. This suggests that N utilization, rather than photosynthetic capacity, may play an important role in the acclimation of the species to future climatic conditions. This study provides new insights into the photosynthetic acclimation of amur linden and can be used to predict its possible performance under future climatic conditions.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":" 970","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140682277","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}
Kohei Suzuki, Ikutaro Tsuyama, R. Tungalag, A. Narantsetseg, Tsagaanbandi Tsendeekhuu, Masato Shinoda, Norikazu Yamanaka, Takashi Kamijo
Mongolian herder households maintain the health and condition of their livestock by adapting to the characteristics of the local vegetation distribution. Thus, predicting future vegetation changes is important for stable livestock grazing and sustainable rangeland use. We predicted the distributional extent of rangeland vegetation, specifically desert steppe, steppe, and meadow steppe communities, for the period 2081–2100, based on vegetation data obtained from a previous study. Rangeland vegetation data collected in Mongolia (43–50°N, 87–119°E) between 2012 and 2016 (278 plots), were classified into community types. Species distribution modeling was conducted using a maximum entropy (MaxEnt) model. Distribution data for desert steppe, steppe, and meadow steppe communities were used as objective variables, and bioclimatic data were obtained from WorldClim for use as explanatory variables. CMIP6-downscaled future climate projections provided by WorldClim were used for future prediction. The area under the curve values for the desert steppe, steppe, and meadow steppe models were 0.850, 0.847, and 0.873, respectively. Suitable habitat was projected to shrink under all scenarios and for all communities with climate change. The extent of reduction in potential suitable areas was greatest for meadow steppe communities. Our results indicate that meadow steppe communities will transition to steppe communities with future climate change.
{"title":"Projected distributions of Mongolian rangeland vegetation under future climate conditions","authors":"Kohei Suzuki, Ikutaro Tsuyama, R. Tungalag, A. Narantsetseg, Tsagaanbandi Tsendeekhuu, Masato Shinoda, Norikazu Yamanaka, Takashi Kamijo","doi":"10.1093/jpe/rtae028","DOIUrl":"https://doi.org/10.1093/jpe/rtae028","url":null,"abstract":"\u0000 Mongolian herder households maintain the health and condition of their livestock by adapting to the characteristics of the local vegetation distribution. Thus, predicting future vegetation changes is important for stable livestock grazing and sustainable rangeland use. We predicted the distributional extent of rangeland vegetation, specifically desert steppe, steppe, and meadow steppe communities, for the period 2081–2100, based on vegetation data obtained from a previous study. Rangeland vegetation data collected in Mongolia (43–50°N, 87–119°E) between 2012 and 2016 (278 plots), were classified into community types. Species distribution modeling was conducted using a maximum entropy (MaxEnt) model. Distribution data for desert steppe, steppe, and meadow steppe communities were used as objective variables, and bioclimatic data were obtained from WorldClim for use as explanatory variables. CMIP6-downscaled future climate projections provided by WorldClim were used for future prediction. The area under the curve values for the desert steppe, steppe, and meadow steppe models were 0.850, 0.847, and 0.873, respectively. Suitable habitat was projected to shrink under all scenarios and for all communities with climate change. The extent of reduction in potential suitable areas was greatest for meadow steppe communities. Our results indicate that meadow steppe communities will transition to steppe communities with future climate change.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"19 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702930","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}
Although biotic and abiotic factors have been confirmed to be critical factors that affect the community dynamics, their interactive effects have yet to be fully considered in grassland degradation. Herein, we tested how soil nutrients and microbes regulated plant-soil feedback (PSF) in a degraded alpine grassland. Our results indicated that, from non-degraded (ND) to severely degraded (SD), significantly (P<0.05) decreased soil total carbon (from 17.66 to 12.55 g/kg) and total nitrogen (from 3.16 to 2.74 g/kg) were detected. Despite higher nutrients in ND soil generating significantly (P<0.05) positive PSF (0.52) on monocots growth when the soil was sterilized, a high proportion of pathogens (36%) in ND non-sterilized soil resulted in a strong negative PSF on monocots. By contrast, the higher phenotypic plasticity of dicots coupled with a higher abundance of mutualists and saprophytes (70%) strongly promoted their survival and growth in SD with infertile soil. Our findings identified a novel mechanism that there was a functional group shift from monocots with higher vulnerability to soil pathogens in the ND fertile soil to dicots with higher dependence on nutritional mutualists in the degraded infertile soil. And the emerging irreversible eco-evolutionary in PSF after degradation might cause a predicament for the restoration of degraded grassland.
{"title":"Mechanism of plant-soil feedback in a degraded alpine grassland, Tibetan Plateau","authors":"Tiancai Zhou, Jian Sun, Peili Shi","doi":"10.1093/jpe/rtae025","DOIUrl":"https://doi.org/10.1093/jpe/rtae025","url":null,"abstract":"\u0000 Although biotic and abiotic factors have been confirmed to be critical factors that affect the community dynamics, their interactive effects have yet to be fully considered in grassland degradation. Herein, we tested how soil nutrients and microbes regulated plant-soil feedback (PSF) in a degraded alpine grassland. Our results indicated that, from non-degraded (ND) to severely degraded (SD), significantly (P<0.05) decreased soil total carbon (from 17.66 to 12.55 g/kg) and total nitrogen (from 3.16 to 2.74 g/kg) were detected. Despite higher nutrients in ND soil generating significantly (P<0.05) positive PSF (0.52) on monocots growth when the soil was sterilized, a high proportion of pathogens (36%) in ND non-sterilized soil resulted in a strong negative PSF on monocots. By contrast, the higher phenotypic plasticity of dicots coupled with a higher abundance of mutualists and saprophytes (70%) strongly promoted their survival and growth in SD with infertile soil. Our findings identified a novel mechanism that there was a functional group shift from monocots with higher vulnerability to soil pathogens in the ND fertile soil to dicots with higher dependence on nutritional mutualists in the degraded infertile soil. And the emerging irreversible eco-evolutionary in PSF after degradation might cause a predicament for the restoration of degraded grassland.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140716948","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}
Yalong Shi, Yuanbo Cao, Honghui Wu, Chong Xu, Qiang Yu, X. Zuo, Xingguo Han, Melinda D. Smith, A. Knapp, Chengjie Wang, Guodong Han
Estimating the effects of extreme drought on the photosynthetic rates (Pn) of dominant plant species is crucial for understanding the mechanisms driving the impacts of extreme drought on ecosystem functioning. Extreme drought may result from either reduced rainfall amounts or decreased rainfall frequency, and the impacts of different patterns of extreme drought may vary greatly. In addition, different grasslands likely appeared varied sensitivity to different extreme drought patterns. However, there have been no reports on the effects of different extreme drought patterns on dominant species Pn in different grassland types. Here, we conducted multi-year extreme drought simulation experiments (reducing each rainfall event by 66% during growing season, CHR vs. completely excluding rainfall during a shorter portion of growing season, INT) in two different grasslands (desert grassland vs. typical grassland) from 2014. The Pn of two dominant species in each grassland were measured in July and August 2017. Both CHR and INT significantly decreased dominant species Pn, with INT causing more negative impacts on Pn regardless of grassland types. The response ratios of Pn in desert grassland were generally higher than that of typical grassland, especially for Leymus chinensis in CHR. These results indicate that decreased rainfall frequency had a more negative effect on Pn compared to reduced rainfall amount, with grassland types changing the magnitude, but not the direction, of the effects of extreme drought patterns. These findings highlight the importance of considering extreme drought patterns and grassland types in ecosystem management in the face of future extreme droughts.
{"title":"The response of photosynthetic rate of dominant species to extreme drought in Inner Mongolia grasslands","authors":"Yalong Shi, Yuanbo Cao, Honghui Wu, Chong Xu, Qiang Yu, X. Zuo, Xingguo Han, Melinda D. Smith, A. Knapp, Chengjie Wang, Guodong Han","doi":"10.1093/jpe/rtae027","DOIUrl":"https://doi.org/10.1093/jpe/rtae027","url":null,"abstract":"\u0000 Estimating the effects of extreme drought on the photosynthetic rates (Pn) of dominant plant species is crucial for understanding the mechanisms driving the impacts of extreme drought on ecosystem functioning. Extreme drought may result from either reduced rainfall amounts or decreased rainfall frequency, and the impacts of different patterns of extreme drought may vary greatly. In addition, different grasslands likely appeared varied sensitivity to different extreme drought patterns. However, there have been no reports on the effects of different extreme drought patterns on dominant species Pn in different grassland types. Here, we conducted multi-year extreme drought simulation experiments (reducing each rainfall event by 66% during growing season, CHR vs. completely excluding rainfall during a shorter portion of growing season, INT) in two different grasslands (desert grassland vs. typical grassland) from 2014. The Pn of two dominant species in each grassland were measured in July and August 2017. Both CHR and INT significantly decreased dominant species Pn, with INT causing more negative impacts on Pn regardless of grassland types. The response ratios of Pn in desert grassland were generally higher than that of typical grassland, especially for Leymus chinensis in CHR. These results indicate that decreased rainfall frequency had a more negative effect on Pn compared to reduced rainfall amount, with grassland types changing the magnitude, but not the direction, of the effects of extreme drought patterns. These findings highlight the importance of considering extreme drought patterns and grassland types in ecosystem management in the face of future extreme droughts.","PeriodicalId":503671,"journal":{"name":"Journal of Plant Ecology","volume":"62 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140725058","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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