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Effects of the conversion of natural tropical rainforest to monoculture rubber plantations on soil hydrological processes

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JOURNAL OF PLANT ECOLOGY 2024年第2期17卷 122-133页

作者： Chen, Qiaoyan Fu, Ruiyu Cheng, Siyuan Qiao, Dong hu, zhongmin Zhang, Zijia Dai, Licong Hainan Univ Sch Ecol & Environm Hainan Baoting Trop Rainforest Ecosyst Observat & Haikou 570228 Peoples R China Hainan Univ Ctr Ecoenvironm Restorat Engn Hainan Prov Haikou 570228 Peoples R China Hainan Ecol Environm Monitoring Ctr Haikou Peoples R China

Rubber plantations have increased significantly under unprecedented economic growth in tropical areas, which leads to soil degradation and thereby alters soil hydrological processes. However, our understanding of how forest conversion affects soil hydrological processes remains unclear. Here, we collected soil samples from secondary forests (SF) and rubber plantations (RP) to determine the soil hydrological characteristics. We found the topsoil (0-20 cm) water retention in SF was higher than that of RP but displayed the contrast pattern in a deeper soil layer (20-60 cm). Meanwhile, the soil infiltration rates among the two vegetation types decreased significantly with infiltration time, with higher stable soil infiltration rates in SF than those in RP. Moreover, soil properties were also impacted by the forest conversion, such as the topsoil capillary porosity (CP) and total porosity (TP) in SF were higher than those of RP but contrasted in a deep soil layer. In comparison, the topsoil bulk density (BD) in SF was lower than that of RP, but contrasted in the deep soil layer and reached a significant level in the 0-10 and 40-50 cm (P < 0.05). Overall, the soil water retention was mainly determined by the CP, which could explain 31.56% of the total variance in soil water retention, followed by TP (26.57%) and soil BD (26.47%), whereas soil texture exerts a weak effect on soil water retention. Therefore, we can conclude that the conversion of tropical rainforest into rubber plantations may accelerate soil erosion owing to its lower topsoil water retention and soil infiltration rates.

关键词： soil water retention soil infiltration soil physicochemical properties rubber plantations secondary forest SATURATED HYDRAULIC CONDUCTIVITY BIODIVERSITY AGROFORESTRY LITTER

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Four decades of full-scale nitrous oxide emission inventory in China

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National Science Review 2024年第03期11卷 137-149页

作者： Minqi Liang Zheyan Zhou Peiyang Ren Han Xiao Xu-Ri zhongmin hu Shilong Piao Hanqin Tian Qing Tong Feng Zhou Jing Wei Wenping Yuan School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University State Key Laboratory of Tibetan Plateau Earth System Resources and Environment Institute of Tibetan Plateau Research Chinese Academy of Sciences Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province Hainan University Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking University Schiller Institute for Integrated Science and Society Department of Earth and Environmental Sciences Boston College Institute of Energy Environment and Economy Tsinghua University Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)

China is among the top nitrous oxide（N2O）-emitting countries, but existing national inventories do not provide full-scale emissions including both natural and anthropogenic sources. We conducted a four-decade（1980–2020） of comprehensive quantification of Chinese N2O inventory using empirical emission factor method for anthropogenic sources and two up-to-date process-based models for natural sources. Total N2O emissions peaked at 2287.4（1774.8–2799.9） Gg N2O yr-1in 2018, and agriculture-developed regions, like the East, Northeast, and Central, were the top N2O-emitting regions. Agricultural N2O emissions have started to decrease after 2016 due to the decline of nitrogen fertilization applications, while, industrial and energetic sources have been dramatically increasing after 2005. N2O emissions from agriculture, industry,energy, and waste represented 49.3%, 26.4%, 17.5%, and 6.7% of the anthropogenic emissions in 2020,respectively, which revealed that it is imperative to prioritize N2O emission mitigation in agriculture,industry, and energy. Natural N2O sources, dominated by forests, have been steadily growing from 317.3（290.3–344.1） Gg N2O yr-1in 1980 to 376.2（335.5–407.2） Gg N2O yr-1in 2020. Our study produces a Full-scale Annual N2O dataset in China（FAN2020）, providing emergent counting to refine the current national N2O inventories.

关键词： nitrous oxide four decades anthropogenic sources natural sources

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氮磷添加对内蒙古温带草原植物功能群氮含量的影响

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生态学报 2024年第3期44卷 1242-1250页

作者：郝亚鹏罗登楠胡中民郭群中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室北京100101 中国科学院大学资源与环境学院北京100190 国家生态科学数据中心北京100101 华南师范大学地理科学学院广州510631 海南大学生态与环境学院海口570228

植物功能群氮含量既是理解氮沉降对生物多样性影响的关键指标,也是生产力过程模型模拟的重要参数,极易受氮素可利用性的影响和磷元素的限制。基于内蒙古温带草原4年氮磷添加试验(N10、N40、P5、P10及其交互,数字代表添加剂量,单位为g m^... 详细信息

植物功能群氮含量既是理解氮沉降对生物多样性影响的关键指标,也是生产力过程模型模拟的重要参数,极易受氮素可利用性的影响和磷元素的限制。基于内蒙古温带草原4年氮磷添加试验(N10、N40、P5、P10及其交互,数字代表添加剂量,单位为g m^(-2) a^(-1)),分析氮磷添加对植物群落及三种植物功能群(禾本科、灌木和杂类草)氮含量的影响。结果表明:(1)氮添加显著增加了群落及各功能群的氮含量,同一处理水平下禾本科(N10)和灌木(N10和N40)的氮含量显著高于杂类草,同一功能群不同氮添加剂量间无显著差异;(2)磷添加对群落和三种功能群的氮含量无显著影响;(3)与单独氮添加相比,氮磷同时添加显著增加了群落、禾本科和杂类草氮含量,且高剂量氮磷添加的促进作用更大;(4)与单独氮添加相比,氮磷同时添加显著增加群落和三种功能群磷含量而降低氮磷比,相同处理水平下禾本科和杂类草磷含量增加幅度最大。本研究将为草原生态系统管理和应对全球变化提供科学依据。

关键词：植物氮含量植物功能群氮磷添加内蒙古草原

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基于多种遥感产品的青藏高原长时间序列总初级生产力对比分析

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生态学杂志 2024年第6期43卷 1859-1869页

作者：廖玮杰焦悦李世禧胡中民白磊海南大学生态与环境学院海口570208 海南省农林环境过程与生态调控重点实验室海口570208 海南热带雨林国家生态质量综合监测站海南保亭572316

青藏高原是陆地碳循环研究中的热点地区。在全球气候变化背景下,其总初级生产力(gross primary production,GPP)在区域碳循环过程中发挥着重要作用。结合遥感数据使用模型模拟有助于了解青藏高原区域尺度上生态系统生产力的变化过程,以... 详细信息

青藏高原是陆地碳循环研究中的热点地区。在全球气候变化背景下,其总初级生产力(gross primary production,GPP)在区域碳循环过程中发挥着重要作用。结合遥感数据使用模型模拟有助于了解青藏高原区域尺度上生态系统生产力的变化过程,以及预测其未来的变化趋势。本研究使用6种常见的遥感GPP产品(GLASS、MODIS MOD17A2、FLUXCOM、VODCA2、改进的EC-LUE数据及VPM数据),结合涡度协方差通量观测数据(海北灌丛、海北湿地和当雄)进行验证后,对青藏高原2001—2015年生态系统GPP空间分布格局及时间变化趋势进行分析。结果表明:不同生态遥感产品得到的青藏高原年平均GPP、区域年均GPP时空分布格局与变化趋势存在较大差异,6套产品得到的2001—2015年变化趋势分别-0.77 g C·m^(-2)·a^(-1)(GLASS)、3.63 g C·m^(-2)·a^(-1)(MOD17A2)、-1.21 g C·m^(-2)·a^(-1)(FLUXCOM)、1.53 g C·m^(-2)·a^(-1)(VODCA2)、4.73 g C·m^(-2)·a^(-1)(VPM)和-0.81 g C·m^(-2)·a^(-1)(改进的EC-LUE);在空间分布上多年平均GPP总体呈现“东南高、西北低”的特点,区域差异较大;在青藏高原生态系统中,GLASS产品区域平均年GPP最高(827.78 Tg C·a^(-1)),MOD17A2产品最低(484.04 Tg C·a^(-1)),2001—2015年青藏高原生态系统GPP变化程度分布区域基本相同,东南部最剧烈,而西部最为稳定;经过站点数据验证,MOD17A2在8天尺度上结果相对更好,而FLUXCOM数据集在月尺度上结果相对更好,结合在区域尺度上的表现,MOD17A2数据集更加适用于青藏高原地区。

关键词：光能利用率模型 VPM VODCA2 FLUXCOM MODIS

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青藏高原草地植物多样性沿降水梯度的分布格局及影响因素

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生态学杂志 2024年第6期43卷 1674-1680页

作者：张小燕冯明刘倩光杨国姣胡中民海南大学生态与环境学院海口570228

青藏高原不同尺度的植物多样性具有不同的空间分布格局,而形成这种格局的影响因素尚不清楚。本研究对青藏高原不同地区的33个样点进行植被群落和土壤调查,从α多样性、β多样性和γ多样性3个尺度阐明了植物物种多样性沿降水梯度的分布格... 详细信息

青藏高原不同尺度的植物多样性具有不同的空间分布格局,而形成这种格局的影响因素尚不清楚。本研究对青藏高原不同地区的33个样点进行植被群落和土壤调查,从α多样性、β多样性和γ多样性3个尺度阐明了植物物种多样性沿降水梯度的分布格局,采用线性回归和结构方程模型(SEM)探讨影响植物多样性分布格局的直接或间接因素。结果表明:青藏高原植物α和γ多样性随着降水量增加而增加,植物β多样性随着降水量增加而减少;降水量增加通过改变土壤湿度直接增加了植物α多样性,通过增加土壤无机氮含量间接增加植物α多样性;并且,降水量增加会通过增加土壤氮磷比和降低土壤pH值间接增加植物γ多样性。综上所述,随着降水量的变化,土壤理化性质会发生相应的变化,进而影响不同空间尺度的植物多样性。

关键词：降水格局环境因子植物多样性土壤理化参数空间尺度青藏高原

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2000—2018年海南岛NPP时空变化及气候驱动力

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遥感信息 2024年第2期39卷 164-172页

作者：杨涵吴凯陈甲豪钟超慧胡中民海南大学生态与环境学院海口570228

海南岛作为国家生态文明实验区,针对其植被净初级生产力(NPP)变化趋势及气候驱动力尚未明确的问题,基于MODIS数据分析了海南岛2000—2018年NPP、植被呼吸(Re)和植被初级生产力(GPP)的时空变化趋势,并利用多元线性回归分析量化并识别海南... 详细信息

海南岛作为国家生态文明实验区,针对其植被净初级生产力(NPP)变化趋势及气候驱动力尚未明确的问题,基于MODIS数据分析了海南岛2000—2018年NPP、植被呼吸(Re)和植被初级生产力(GPP)的时空变化趋势,并利用多元线性回归分析量化并识别海南岛NPP的主要气候驱动力。结果表明,GPP、NPP和Re均呈现上升趋势,NPP的增长趋势最小(增速为0.016 kg C·m^(-2)·a^(-1))且仅在海南岛中部偏北地区呈不显著的下降趋势,而其余地区呈上升趋势。多元线性回归分析表明:太阳辐射主导着海南岛大部分地区NPP变化;海南岛中部偏北地区NPP变化由降水和温度共同驱动,中部偏南地区则由降水和太阳辐射共同驱动;温度驱动着海南岛西南部和南部地区的NPP变化。

关键词：海南岛植被净初级生产力趋势分析时空变化气候驱动力

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Carbon and water fluxes in ecologically vulnerable areas in China

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Journal of Plant Ecology 2022年第5期15卷 879-881页

作者： zhongmin hu Shiping Chen Yanbin Hao Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province Hainan UniversityHaikou 570228China Southern Marine Science and Engineering Guangdong Laboratory Zhuhai 519082China State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China

Ecologic vulnerable areas(EVAs)are the regions where ecosystems are fragile and vulnerable to sufferfrom degradation with external disturbances,*** changes and human activities(Fengetal.2022;Wangetal.2019).EVAsinChina are widely distributed and account for more than 55%China's landarea(Ministryof Ecologyand Environment of the People's Republic of China 2008).Theecosystem in EVAs,chartered with low stability,weak resistance and high vulnerability,has been experiencing significant degradation owing to the impacts of global climate change and human activities(Bai et al.2018;Chen et al.202l;Yuetal.2022).

关键词： al. vulnerable degradation

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A meta-analysis of the canopy light extinction coefficient in terrestrial ecosystems

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Frontiers of Earth Science 2014年第4期8卷 599-609页

作者： Liangxia ZHANG zhongmin hu Jiangwen FAN Decheng ZHOU Fengpei TANG Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China Graduate University of Chinese Academy of Sciences Beijing 100039 China College of Urban and Environmental Sciences Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Beijing 100871 China China University of Mining & Technology Beijing 100083 China

The canopy light extinction coefficient （K） is a key factor in affecting ecosystem carbon, water, and energy processes. However, K is assumed as a constant in most biogeochemical models owing to lack of in-site measurements at diverse terrestrial ecosystems. In this study, by compiling data of K measured at 88 terrestrial ecosystems, we investigated the spatiotemporal variations of this index across main ecosystem types, including grassland, cropland, shrubland, broadleaf forest, and needleleaf forest. Our results indicated that the average K of all biome types during whole growing season was 0.56. However, this value in the peak growing season was 0.49, indicating a certain degree of seasonal variation. In addition, large variations in K exist within and among the plant functional types. Cropland had the highest value of K （0.62）, followed by broadleaf forest （0.59）, shrubland （0.56）, grassland （0.50）, and needleleaf forest （0.45）. No significant spatial correlation was found between K and the major environmental factors, i.e., mean annual precipitation, mean annual temperature, and leaf area index （LAI）. Intra-annually, significant negative correlations between K and seasonal changes in LAI were found in the natural {K=2/π[cosαcosθsina^-1（tanθtanα）＋（1＋cos^2a-cos^2θ^1/2）],a＋θ〉π/2 K=cosαcosθ,α＋θ≤π/2 k K is usually calculated with the Beer Lambert Law （Monsi and Sakei, 1953）：K = - In （Ii/Io） cosθ/（LAIΩ）,（2）ecosystems. In cropland, however, the temporal relation- ship was site-specific. The ecosystem type specific values of K and its temporal relationship with LAI observed in this study may contribute to improved modeling of global biogeochemical cycles.

关键词： canopy light extinction coefficient ecologicalmodeling biogeochemical model forest grassland cropland leaf area index

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Are regional precipitation-productivity relationships robust to decadal-scale dry period?

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Journal of Plant Ecology 2022年第4期15卷 711-720页

作者： zhongmin hu Minqi Liang Alan Knapp Jianyang Xia Wenping Yuan School of Geography South China Normal UniversityShipai CampusGuangzhou 510631China College of Ecology and Environment Hainan UniversityHaikou 570228China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Department of Biology and Graduate Degree Program in Ecology Colorado State UniversityFort CollinsCO 80523USA Tiantong National Forest Ecosystem Observation and Research Station School of Ecological and Environmental SciencesEast China Normal UniversityShanghai 200062China Institute of Eco-Chongming(IEC) Shanghai 200062China School of Atmospheric Sciences Sun Yat-Sen UniversityGuangzhou 519082China

Precipitation(PPT)is the primary climatic determinant of plant growth and aboveground net primary productivity(ANPP)for many of the world’s major terrestrial ***,relationships between PPT and productivity can provide insight into how changes in climate may alter ecosystem functions *** PPT–ANPP relationships for grasslands are found remarkably similar around the world,but whether and how they change during periods of extended climatic anomalies remain ***,we quantifed how regional-scale PPTANPP relationships vary between an extended wet and a dry period by taking advantage of a 35-year record of PPT and NDVI(as a surrogate for ANPP)at 1700 sites in the temperate grasslands of northern *** found a sharp decrease in the strength of the spatial PPT–ANPP relationship during an 11-year period of below average *** attributed the collapse of this relationship to asynchrony in the responses of different grassland types to this decadal period of increased *** results challenge the robustness of regional PPT–productivity if aridity in grasslands is increased globally by climate change.

关键词： grassland net primary productivity precipitation–productivity relation drought climate change NDVI

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Spatial pattern of grassland aboveground biomass and its environmental controls in the Eurasian steppe

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Journal of Geographical Sciences 2017年第1期27卷 3-22页

作者： JIAO Cuicui YU Guirui HE Nianpeng MA Anna GE Jianping hu zhongmin Synthesis Research Center of Chinese Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China College of Life Sciences Beijing Normal UniversityBeijing 100875China

Vegetation biomass is an important component of terrestrial ecosystem carbon stocks. Grasslands are one of the most widespread biomes worldwideplaying an important role in global carbon cycling. Thereforestudying spatial patterns of biomass and their correlations to environment in grasslands is fundamental to quantifying terrestrial carbon budgets. The Eurasian steppean important part of global grasslandsis the largest and relatively well preserved grassland in the world. In this studywe analyzed the spatial pattern of aboveground biomass（AGB）and correlations of AGB to its environment in the Eurasian steppe by meta-analysis. AGB data used in this study were derived from the harvesting method and were obtained from three data sources（literatureglobal NPP database at the Oak Ridge National Laboratory Distributed Active Archive Center（ORNL）some data provided by other researchers）. Our results demonstrated that：（1） as for the Eurasian steppe overallthe spatial variation in AGB exhibited significant horizontal and vertical zonality. In detailAGB showed an inverted parabola curve with the latitude and with the elevationwhile a parabola curve with the longitude. In additionthe spatial pattern of AGB had marked horizontal zonality in the Black Sea-Kazakhstan steppe subregion and the Mongolian Plateau steppe subregionwhile horizontal and vertical zonality in the Tibetan Plateau alpine steppe subregion.（2） Of the examined environmental variablesthe spatial variation of AGB was related to mean annual precipitation（MAP）mean annual temperature（MAT）mean annual solar radiation（MAR）soil Gravel contentsoil p H and soil organic content（SOC） at the depth of 0–30 cm. NeverthelessMAP dominated spatial patterns of AGB in the Eurasian steppe and its three subregions.（3） A Gaussian function was found between AGB and MAP in the Eurasian steppe overallwhich was primarily determined by unique patterns of grasslands and environment in the Tibetan Plateau. AGB was significantly positively relat

关键词： the Eurasian steppe aboveground biomass spatial pattern parabola curve Gaussian function

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