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1.
Interannual variations of photosynthesis in tropical seasonally dry vegetation are one of the dominant drivers to interannual variations of atmospheric CO2 growth rate. Yet, the seasonal differences in the response of photosynthesis to climate variations in these ecosystems remain poorly understood. Here using Normalized Difference Vegetation Index (NDVI), we explored the response of photosynthesis of seasonally dry tropical vegetation to climatic variations in the dry and the wet seasons during the past three decades. We found significant (p < 0.01) differences between dry and wet seasons in the interannual response of photosynthesis to temperature (γint) and to precipitation (δint). γint is ~1% °C?1 more negative and δint is ~8% 100 mm?1 more positive in the dry season than in the wet season. Further analyses show that the seasonal difference in γint can be explained by background moisture and temperature conditions. Positive γint occurred in wet season where mean temperature is lower than 27°C and precipitation is at least 60 mm larger than potential evapotranspiration. Two widely used Gross Primary Productivity (GPP) estimates (empirical modeling by machine‐learning algorithm applied to flux tower measurements, and nine process‐based carbon cycle models) were examined for the GPP–climate relationship over wet and dry seasons. The GPP derived from empirical modeling can partly reproduce the divergence of γint, while most process models cannot. The overestimate by process models on negative impacts by warmer temperature during the wet season highlights the shortcomings of current carbon cycle models in representing interactive impacts of temperature and moisture on photosynthesis. Improving representations on soil water uptake, leaf temperature, nitrogen cycling, and soil moisture may help improve modeling skills in reproducing seasonal differences of photosynthesis–climate relationship and thus the projection for impacts of climate change on tropical carbon cycle. 相似文献
2.
E. I. L. Silva U. S. Amarasinghe S. S. De Silva C. Nissanka F. Schiemer 《Hydrobiologia》2002,485(1-3):19-33
Phytoplankton primary productivity of eleven irrigation reservoirs located in five river basins in Sri Lanka was determined on a single occasion together with light climate and nutrient concentrations. Although area-based gross primary productivity (1.43–11.65 g O2 m–2 d–1) falls within the range already established for tropical water bodies, net daily rate was negative in three water bodies. Light-saturated optimum rates were found in water bodies, with relatively high algal biomass, but photosynthetic efficiency or specific rates were higher in water bodies with low algal biomass, indicating nutrient limitation or physiological adaptation of phytoplankton. Concentrations of micronutrients and algal biomass in the reservoirs are largely altered by high flushing rate resulting from irrigation release. Underwater light climate and nutrient availability control the rate of photosynthesis and subsequent area-based primary production to a great extent. However, morpho-edephic index or euphotic algal biomass in the most productive stratum of the water column is not a good predictor of photosynthetic capacity or daily rate of primary production of these shallow tropical irrigation reservoirs. 相似文献
3.
在主要粮食作物系统休闲期间种植填闲作物可兼顾环境与经济效益。综述了填闲种植对农田土壤水分、养分和后续粮食作物生产力形成等生态过程的影响及其具有的固碳减排、减少淋溶、控制侵蚀等环境与经济效益,并在此基础上从土壤水分限制、养分提高和产量经济效益等角度探讨了填闲种植在黄土高原旱作农业区的可行性,指出今后应重点加强填闲种植系统的水肥生产力形成机制、关键环境效益的形成机理、填闲作物与管理措施选择、生态经济效益评价以及气候变化背景下的填闲种植系统综合效益评估等方面展开定位观测与模型模拟研究,为填闲种植在黄土高原旱作农业区的推广提供科学依据。 相似文献
4.
2 0 0 1～ 2 0 0 3年在甘肃庆阳黄土高原连续 3 a研究了紫花苜蓿 -冬小麦轮作系统中土壤 0～ 3 0 0 cm剖面水分动态特征 ,作物产量及其含 N量。处理包括 4龄苜蓿草地 (L C)、4龄苜蓿草地后茬持续休闲 (L F)、4龄苜蓿草地休闲 4个月后种植冬小麦(L Fl W) ,和 4龄苜蓿草地休闲 1个月后种植冬小麦 (L Fs W)。结果表明 ,种植 4a苜蓿后春季翻挖实施休闲至冬小麦播种(L Fl W)的 4个月期间 ,降雨的入渗深度为 150 cm,而苜蓿秋季翻挖休闲至小麦播种 (L Fs W)的一个月间 ,降雨在土壤内的入渗深度为 90 cm,不同休闲长度对头茬冬小麦土壤 0～ 90 cm水分贮存量无显著影响 ,亦不影响头茬冬小麦的出苗和出苗数。苜蓿后茬完全休闲 (L F)一个生长季后 ,60～ 90 cm土壤水分含量达田间最大重力持水量 (Drainage U pper L imit DU L )的 93 % ,0～ 3 0 0cm剖面土壤贮水量达 670 mm ,是剖面田间最大重力持水量 (DUL )的 78% ;L Fl W和 L Fs W处理下头茬小麦籽粒产量之间差异显著 (P<0 .0 5) ,收获指数和千粒重等指数无显著差异 ;L Fl W和 L Fs W处理中获得的二茬小麦产量无显著差异 ;连续种植苜蓿与种植小麦有接近的生物量 ,但苜蓿地植物总 N的输出量较小麦田高 2～ 3倍。由于黄土高原降雨变率大 ,因此预测土壤含水量动态有 相似文献
5.
Daniel Richards;Zachary Dewhurst;Donna Giltrap;Sandra Lavorel; 《Global Change Biology》2024,30(5):e17306
Cattle heat stress causes billions of dollars' worth of losses to meat and milk production globally, and is projected to become more severe in the future due to climate change. Tree establishment in pastoral livestock systems holds potential to reduce cattle heat stress and thus provide nature-based adaptation. We developed a general model for the impact of trees on cattle heat stress, which can project milk and meat production under future climate scenarios at varying spatial scales. The model incorporates the key microclimate mechanisms influenced by trees, including shade, air temperature, humidity, and wind speed. We conducted sensitivity analyses to demonstrate the relative influence of different mechanisms through which trees can impact cattle heat stress, and how tree impacts are influenced by climatic context globally. Trees hold the greatest potential to reduce cattle heat stress in higher latitudes and altitudes, with minor benefits in the lowland tropics. We projected the future contributions of current trees in mitigating climate change impacts on the dairy and beef herds of Aotearoa—New Zealand (A-NZ) in 2070–2080. Trees were simulated to contribute to A-NZ milk yields by over 491 million liters (lower CI = 112 million liters, upper CI = 850 million liters), and meat yields by over 8316 tonnes (lower CI = 2431 tonnes, upper CI = 13,668 tonnes) annually. The total economic contribution of existing trees in mitigating future cattle heat stress was valued at $US 244 million (lower CI = $US 58 million, upper CI = $US 419 million). Our findings demonstrate the importance of existing trees in pastoral landscapes and suggest that strategic tree establishment can be a valuable adaptation option for reducing cattle heat stress under climate change. Tree establishment in the next few years is critical to provide adaptation capacity and economic benefit in future decades. 相似文献
6.
Beverly E. Law 《Global Change Biology》2014,20(12):3595-3599
Accurate assessments of forest response to current and future climate and human actions are needed at regional scales. Predicting future impacts on forests will require improved analysis of species‐level adaptation, resilience, and vulnerability to mortality. Land system models can be enhanced by creating trait‐based groupings of species that better represent climate sensitivity, such as risk of hydraulic failure from drought. This emphasizes the need for more coordinated in situ and remote sensing observations to track changes in ecosystem function, and to improve model inputs, spatio‐temporal diagnosis, and predictions of future conditions, including implications of actions to mitigate climate change. 相似文献
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Daniel J. Wieczynski;Sandra Díaz;Sandra M. Durán;Nikolaos M. Fyllas;Norma Salinas;Roberta E. Martin;Alexander Shenkin;Miles R. Silman;Gregory P. Asner;Lisa Patrick Bentley;Yadvinder Malhi;Brian J. Enquist;Van M. Savage; 《Ecography》2022,2022(8):e06078
Assessing the impacts of anthropogenic degradation and climate change on global carbon cycling is hindered by a lack of clear, flexible and easy-to-use productivity models along with scarce trait and productivity data for parameterizing and testing those models. We provide a simple solution: a mechanistic framework (RS-CFM) that combines remotely-sensed foliar-trait and canopy-structural data with trait-based metabolic theory to efficiently map productivity at large spatial scales. We test this framework by quantifying net primary productivity (NPP) at high-resolution (0.01-ha) in hyper-diverse Peruvian tropical forests (30040 hectares) along a 3322-m elevation gradient. Our analysis captures hotspots and elevational shifts in productivity more accurately and in greater detail than alternative empirical- and process-based models that use plant functional types. This result exposes how high-resolution, location-specific variation in traits and light competition drive variability in productivity, opening up possibilities to fully harness remote sensing data and reliably scale up from traits to map global productivity in a more direct, efficient and cost-effective manner. 相似文献
9.
西部旱作农业的有效新技术——留茬少耕或免耕秸秆全程覆盖 总被引：5，自引：1，他引：5
我国西部因干旱缺水 ,农业多以旱作为主 ,在传统的耕作制度下 ,既不能克服干旱威胁 ,又难以高产稳产 ;改进耕作技术实行“留茬少耕或免耕秸秆全程覆盖”新技术 ,是落实西部大开发 ,解决西部农业诸多难题的首选。1 我国西部农业存在的问题我国西部人均土地多 ,日照长 ,温差大 ,农业开发大有潜力。但在农业开发中存在着干旱、水土流失、尘暴沙化以及传统耕作方法所引起的肥力递减 ,严重地影响着农业开发潜力的挖掘。由于干旱的影响 ,单产难以提高 ,随着人口的增加、毁林开荒种地的面积越来越大 ,随之而带来的水土流失和尘暴沙化也日趋严重。… 相似文献
10.
目前人们仍不清楚不同海拔高寒草地植被生长对气候变化的敏感性差异及其与最适宜海拔分布中心的关系。利用西藏当雄县念青唐古拉山南坡7个海拔梯度固定样地的高山嵩草草甸地上净初级生产力(ANPP)观测数据(2009—2013),建立了ANPP与同期遥感植被指数(MODIS NDVI)的线性回归方程。基于长时间序列的NDVI数据,利用建立的回归方程估算了研究区2000—2013年的ANPP。结合沿海拔梯度的HOBO气象站数据(2006—2013)及当雄县气象站数据(2000—2013),分析了2000—2013年该地区高寒草甸ANPP对降水和温度变化的敏感性及其随海拔的变化规律。结果表明:(1)多年平均ANPP随海拔的变化均表现为先增加后降低的单峰分布格局,最大值出现在海拔4893—4942 m,说明在海拔梯度上存在一个最适宜高寒草甸植被生长的分布中心;(2)ANPP与生长季降水量(GSP)呈正相关关系,与生长季平均气温(GST)呈负相关关系,其相关斜率的绝对值(指示ANPP的降水敏感性和温度敏感性大小)与ANPP的海拔格局具有相反的变化趋势,即在最适宜高寒草甸植被生长的海拔分布中心附近,ANPP对降水和温度变化的敏感性最低,而在远离该分布中心的较高和较低海拔,ANPP对降水和温度变化的敏感性则相对较大。研究明确了高寒草甸ANPP对降水和温度变化的敏感性随海拔的分异性及其与高寒草甸最适宜海拔分布中心的关系,这有助于理解沿海拔梯度不同水热组合环境下高寒生态系统对未来气候变化的响应模式。 相似文献
11.
Tropical alpine peatlands are important carbon reservoirs and are a critical component of local hydrological cycles. In high elevation peatlands slow decomposition rates result from a nutrient‐poor substrate resistant to decay. The responses of páramo peatland ecosystems to increased nutrient additions and physical disturbance due to agricultural activities are unknown. Here, we conducted a two‐year fertilization and physical disturbance experiment in a Sphagnum—dominated peatland in the Central Andes of Colombia. We hypothesized that fertilization and physical disturbance will diminish the ability of the peat to store organic matter by increasing decomposition and that vascular plants will displace Sphagnum as the dominant plant group. We simulated cattle activity by adding manure as a fertilizer and physical disturbance as a proxy for cattle trampling. Species composition varied in proportion to the intensity of disturbance. Sphagnum cover was reduced under any disturbance treatment. Non‐native grasses usually found in cattle pastures invaded treatments with fertilizer additions or physical disturbance. Overall aboveground plant biomass doubled in fertilized treatments, suggesting that plant biomass production was nutrient limited. Decomposition rates tripled in disturbed treatments as compared to controls. This reduces the ability of the peatland to store organic matter. Andean peatlands are prized ecological assets; however, our results show that the El Morro páramo peatland experienced increased decomposition rates over short time periods after small‐scale disturbances. This created profound consequences for the ecological services offered by these peatlands. 相似文献
12.
《Animal : an international journal of animal bioscience》2015,9(12):2050-2059
Over the past 23 years (1990 to 2012), French beef cattle farms have expanded in size and increased labour productivity by over 60%, chiefly, though not exclusively, through capital intensification (labour–capital substitution) and simplifying herd feeding practices (more concentrates used). The technical efficiency of beef sector production systems, as measured by the ratio of the volume value (in constant euros) of farm output excluding aids to volume of intermediate consumption, has fallen by nearly 20% while income per worker has held stable thanks to subsidies and the labour productivity gains made. This aggregate technical efficiency of beef cattle systems is positively correlated to feed self-sufficiency, which is in turn negatively correlated to farm and herd size. While volume of farm output per hectare of agricultural area has not changed, forage feed self-sufficiency decreased by 6 percentage points. The continual increase in farm size and labour productivity has come at a cost of lower production-system efficiency – a loss of technical efficiency that 20 years of genetic, technical, technological and knowledge-driven progress has barely managed to offset. 相似文献
13.
Although drought is known to negatively impact grassland functioning, the timing and magnitude of these impacts within a growing season remain unresolved. Previous small-scale assessments indicate grasslands may only respond to drought during narrow periods within a year; however, large-scale assessments are now needed to uncover the general patterns and determinants of this timing. We combined remote sensing datasets of gross primary productivity and weather to assess the timing and magnitude of grassland responses to drought at 5 km2 temporal resolution across two expansive ecoregions of the western US Great Plains biome: the C4-dominated shortgrass steppe and the C3-dominated northern mixed prairies. Across over 700,000 pixel-year combinations covering more than 600,000 km2, we studied how the driest years between 2003–2020 altered the daily and bi-weekly dynamics of grassland carbon (C) uptake. Reductions to C uptake intensified into the early summer during drought and peaked in mid- and late June in both ecoregions. Stimulation of spring C uptake during drought was small and insufficient to compensate for losses during summer. Thus, total grassland C uptake was consistently reduced by drought across both ecoregions; however, reductions were twice as large across the more southern and warmer shortgrass steppe. Across the biome, increased summer vapor pressure deficit (VPD) was strongly linked to peak reductions in vegetation greenness during drought. Rising VPD will likely exacerbate reductions in C uptake during drought across the western US Great Plains, with these reductions greatest during the warmest months and in the warmest locations. High spatiotemporal resolution analyses of grassland response to drought over large areas provide both generalizable insights and new opportunities for basic and applied ecosystem science in these water-limited ecoregions amid climate change. 相似文献
14.
Xiaohui Feng María Uriarte Grizelle González Sasha Reed Jill Thompson Jess K. Zimmerman Lora Murphy 《Global Change Biology》2018,24(1):e213-e232
Tropical forests play a critical role in carbon and water cycles at a global scale. Rapid climate change is anticipated in tropical regions over the coming decades and, under a warmer and drier climate, tropical forests are likely to be net sources of carbon rather than sinks. However, our understanding of tropical forest response and feedback to climate change is very limited. Efforts to model climate change impacts on carbon fluxes in tropical forests have not reached a consensus. Here, we use the Ecosystem Demography model (ED2) to predict carbon fluxes of a Puerto Rican tropical forest under realistic climate change scenarios. We parameterized ED2 with species‐specific tree physiological data using the Predictive Ecosystem Analyzer workflow and projected the fate of this ecosystem under five future climate scenarios. The model successfully captured interannual variability in the dynamics of this tropical forest. Model predictions closely followed observed values across a wide range of metrics including aboveground biomass, tree diameter growth, tree size class distributions, and leaf area index. Under a future warming and drying climate scenario, the model predicted reductions in carbon storage and tree growth, together with large shifts in forest community composition and structure. Such rapid changes in climate led the forest to transition from a sink to a source of carbon. Growth respiration and root allocation parameters were responsible for the highest fraction of predictive uncertainty in modeled biomass, highlighting the need to target these processes in future data collection. Our study is the first effort to rely on Bayesian model calibration and synthesis to elucidate the key physiological parameters that drive uncertainty in tropical forests responses to climatic change. We propose a new path forward for model‐data synthesis that can substantially reduce uncertainty in our ability to model tropical forest responses to future climate. 相似文献
15.
Good P Lowe JA Collins M Moufouma-Okia W 《Philosophical transactions of the Royal Society of London. Series B, Biological sciences》2008,363(1498):1761-1766
Future changes in meridional sea surface temperature (SST) gradients in the tropical Atlantic could influence Amazon dry-season precipitation by shifting the patterns of moisture convergence and vertical motion. Unlike for the El Niño-Southern Oscillation, there are no standard indices for quantifying this gradient. Here we describe a method for identifying the SST gradient that is most closely associated with June–August precipitation over the south Amazon. We use an ensemble of atmospheric general circulation model (AGCM) integrations forced by observed SST from 1949 to 2005. A large number of tropical Atlantic SST gradient indices are generated randomly and temporal correlations are examined between these indices and June–August precipitation averaged over the Amazon Basin south of the equator. The indices correlating most strongly with June–August southern Amazon precipitation form a cluster of near-meridional orientation centred near the equator. The location of the southern component of the gradient is particularly well defined in a region off the Brazilian tropical coast, consistent with known physical mechanisms. The chosen index appears to capture much of the Atlantic SST influence on simulated southern Amazon dry-season precipitation, and is significantly correlated with observed southern Amazon precipitation.We examine the index in 36 different coupled atmosphere–ocean model projections of climate change under a simple compound 1% increase in CO2. Within the large spread of responses, we find a relationship between the projected trend in the index and the Amazon dry-season precipitation trends. Furthermore, the magnitude of the trend relationship is consistent with the inter-annual variability relationship found in the AGCM simulations. This suggests that the index would be of use in quantifying uncertainties in climate change in the region. 相似文献
16.
黄土塬区旱作玉米生产潜力的实验研究 总被引：3，自引：0，他引：3
在黄土高原南部长武旱塬所做的田间试验结果表明 ,玉米的水分效应函数为 :Pw =1 .0 0 - 5.2 93( 1 -k) 2 .把式中k取为农田干湿指数 (旱作玉米全生育期内高肥水平下耗水量与需水量的比值 ) ,则Pw即为旱作玉米生产潜力指数 .试验中k值的表现区间为0 .78至 1 .1 0 ,k值的理论上界与局部农田潜在蒸散有关 .1 985～ 1 988年 ,旱作玉米的Pw的平均值为 0 .87.旱作玉米生产潜力的远期值与近期值变化趋势相似 ,前者 4年平均值为1 1 2 4 7kg·hm- 2 ,后者为 7696kg·hm- 2 .由于试区近年来物质能量向农田的不断强化投入以及对作物品种的改良 ,试区大田实际产量连年来向潜力值逼近 . 相似文献
17.
Macrophyte net primary productivity (NPP) is a significant but understudied component of the carbon budget in large Amazonian floodplains. Annual NPP is determined by the interaction between stem elongation (vertical growth) and plant cover changes (horizontal expansion), each affected differently by flood duration and amplitude. Therefore, hydrological changes as predicted for the Amazon basin could result in significant changes in annual macrophyte NPP. This study investigates the responses of macrophyte horizontal expansion and vertical growth to flooding variability, and its possible effects on the contribution of macrophytes to the carbon budget of Amazonian floodplains. Monthly macrophyte cover was estimated using satellite imagery for the 2003–2004 and 2004–2005 hydrological years, and biomass was measured in situ between 2003 and 2004. Regression models between macrophyte variables and river‐stage data were used to build a semiempirical model of macrophyte NPP as a function of water level. Historical river‐stage records (1970–2011) were used to simulate variations in NPP, as a function of annual flooding. Vertical growth varied by a factor of ca. 2 over the simulated years, whereas minimum and maximum annual cover varied by ca. 3.5 and 1.5, respectively. Results suggest that these processes act in opposite directions to determine macrophyte NPP, with larger sensitivity to changes in vertical growth, and thus maximum flooding levels. Years with uncommonly large flooding amplitude resulted in the highest NPP values, as both horizontal expansion and vertical growth were enhanced under these conditions. Over the simulated period, annual NPP varied by ca. 1.5 (1.06–1.63 TgC yr?1). A small increasing trend in flooding amplitude, and by extension NPP, was observed for the studied period. Variability in growth rates caused by local biotic and abiotic factors, and the lack of knowledge on macrophyte physiological responses to extreme hydrological conditions remain the major sources of uncertainty. 相似文献
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Stefania Ondei Lynda D. Prior Tom Vigilante David M.J.S. Bowman 《Journal of Biogeography》2017,44(10):2331-2342
20.
Allan Barton 《Journal of Industrial Ecology》1999,3(2-3):161-176
The planting on degraded agricultural lands of eucalypts for leaf oil provides a commercial incentive for restoring original vegetation; a sustainable method of controlling groundwater and salinity; a product that is an environmentally benign substitute for a widely used solvent damaging to the ozone layer; and a mechanism for reducing atmospheric carbon dioxide levels. With integrated tree crop systems and improved harvesting and processing technologies, the Western Australian wheatbelt could produce large volumes of high-cineole eucalyptus oil from mallee eucalypts. With new industrial markets, a scale of planting could be achieved that would result in substantial land rehabilitation benefits. Industrial solvent markets are large and currently in transition following the recent withdrawal of 1,1,1-trichloroethane as a result of international measures to control ozone depletion. There is a strong preference in these markets for "natural" replacement products. Although large-scale penetration of these markets would need prices about half those prevailing in traditional eucalyptus oil markets, this goal should be achievable with the potential for economies of scale, genetic advances, and improved harvesting and processing technologies. 相似文献