共查询到20条相似文献，搜索用时 46 毫秒
1.
Agricultural suitability maps are a key input for land use zoning and projections of cropland expansion. Suitability assessments typically consider edaphic conditions, climate, crop characteristics, and sometimes incorporate accessibility to transportation and market infrastructure. However, correct weighting among these disparate factors is challenging, given rapid development of new crop varieties, irrigation, and road networks, as well as changing global demand for agricultural commodities. Here, we compared three independent assessments of cropland suitability to spatial and temporal dynamics of agricultural expansion in the Brazilian state of Mato Grosso during 2001–2012. We found that areas of recent cropland expansion identified using satellite data were generally designated as low to moderate suitability for rainfed crop production. Our analysis highlighted the abrupt nature of suitability boundaries, rather than smooth gradients of agricultural potential, with little additional cropland expansion beyond the extent of the flattest areas (0–2% slope). Satellite-based estimates of the interannual variability in the use of existing crop areas also provided an alternate means to assess suitability. On average, cropland areas in the Cerrado biome had higher utilization (84%) than croplands in the Amazon region of northern Mato Grosso (74%). Areas of more recent expansion had lower utilization than croplands established before 2002, providing empirical evidence for lower suitability or alternative management strategies (e.g., pasture–soya rotations) for lands undergoing more recent land use transitions. This unplanted reserve constitutes a large area of potentially available cropland (PAC) without further expansion, within the management limits imposed for pest management and fallow cycles. Using two key constraints on future cropland expansion, slope and restrictions on further deforestation of Amazon or Cerrado vegetation, we found little available flat land for further legal expansion of crop production in Mato Grosso. Dynamics of cropland expansion from more than a decade of satellite observations indicated narrow ranges of suitability criteria, restricting PAC under current policy conditions, and emphasizing the advantages of field-scale information to assess suitability and utilization. 相似文献
2.
S. A. Saseendran K. K. Singh L. S. Rathore S. V. Singh S. K. Sinha 《Climatic change》2000,44(4):495-514
The CERES-Rice v3. crop simulation model, calibrated and validated for its suitability to simulate rice production in the tropical humid climate Kerala State of India, is used for analysing the effect of climate change on rice productivity in the state. The plausible climate change scenario for the Indian subcontinent as expected by the middle of the next century, taking into account the projected emissions of greenhouse gases and sulphate aerosols, in a coupled atmosphere-ocean model experiment performed at Deutsches Klimarechenzentrum, Germany, is adopted for the study. The adopted scenario represented an increase in monsoon seasonal mean surface temperature of the order of about 1.5°C, and an increase in rainfall of the order of 2 mm per day, over the state of Kerala in the decade 2040–2049 with respect to the 1980s. The IPCC Business-as-usual scenario projection of plant usable concentration of CO2 about 460 PPM by the middle of the next century are also used in the crop model simulation. On an average over the state with the climate change scenario studied, the rice maturity period is projected to shorten by 8% and yield increase by 12%. When temperature elevations only are taken into consideration, the crop simulations show a decrease of 8% in crop maturity period and 6% in yield. This shows that the increase in yield due to fertilisation effect of elevated CO2 and increased rainfall over the state as projected in the climate change scenario nearly makes up for the negative impact on rice yield due to temperature rise. The sensitivity experiments of the rice model to CO2 concentration changes indicated that over the state, an increase in CO2 concentration leads to yield increase due to its fertilisation effect and also enhance the water use efficiency of the paddy. The temperature sensitivity experiments have shown that for a positive change in temperature up to 5°C, there is a continuous decline in the yield. For every one degree increment the decline in yield is about 6%. Also, in another experiment it is observed that the physiological effect of ambient CO2 at 425 ppm concentration compensated for the yield losses due to increase in temperature up to 2°C. Rainfall sensitivity experiments have shown that increase in rice yield due to increase in rainfall above the observed values is near exponential. But decrease in rainfall results in yield loss at a constant rate of about 8% per 2 mm/day, up to about 16 mm/day. 相似文献
3.
为充分利用当地生态环境条件特征，提升罗汉果产量与品质，促进罗汉果稳定、高效生产，科学制定桂林市罗汉果发展规划。利用桂林市14个国家站1981—2017年气象数据，结合数字高程模型（DEM），采用层次分析法（AHP），从气候、地形等方面构建桂林市罗汉果气候适宜性指数，采用自然断点法（Natural Breaks）将桂林市罗汉果适宜性指数划分为适宜区、次适宜区和不适宜区。结果表明：桂林市中部、西南及东北部较适宜罗汉果种植，该区域内水热条件较好，温度、光照适宜，海拔高度适中，能够较好满足罗汉果生长发育所需生态条件。不适宜区主要位于北部猫儿山山脉地区、越城岭、海洋山山脉及都庞岭等地区，该区域内海拔较高，气候条件不能满足罗汉果生长发育所需，不适宜罗汉果种植。 相似文献
4.
Senthold Asseng Maria I. Travasso Fulco Ludwig Graciela O. Magrin 《Climatic change》2013,117(1-2):181-196
As a result of climate change, and in particular rainfall changes, agricultural production is likely to change across the globe. Until now most research has focused on areas which will become unsustainable for agricultural production. However, there are also regions where climate change might actually improve conditions for growth. In the western Pampas region of Argentina, average annual rainfall has increased by 100–200 mm over the last 70 years, mainly during summer. Wheat is grown during winter, primarily on stored soil water and the main factor limiting plant production in this area is rainfall. Using the well tested simulation model APSIM-NWheat, we studied whether recent climate change has potentially opened new opportunities for wheat cropping in Argentina. Simulation results indicated that the additional rainfall in the Pampas of Argentina has increased the achievable yield (defined as the yield limited by solar radiation, temperature, water and nitrogen supply) of wheat in the currently cropped region, but less than expected based on the large amount of additional rainfall. The higher achievable yield from additional rainfall could potentially allow an expansion of profitable wheat cropping into currently non-cropped areas, where the achievable wheat yield increased in average from 1 t/ha to currently 2 t/ha. However, the poor water-holding capacity of the sandy soils which dominate the region outside the current cropping area limits the systems ability to use most of the increased summer rainfall. Nevertheless, the current higher achievable yield indicates a suitability of the region for cropping, which will slightly decline or remain unchanged depending on summer rainfall storage, with current and future climate change, including projected changes in rainfall, temperature and atmospheric CO2 concentration. Factors other than just the achievable yield will eventually influence any future development of this region for cropping, including the high sensitivity of the sandy soils to erosion and nutrient leaching, current relatively high land prices, restrictions on clearing for cropping, the distance to the nearest port and current unsuitable cultivars withstanding the high frost risk. 相似文献
5.
6.
Climate change,the monsoon,and rice yield in India 总被引：4，自引：1，他引：3
Recent research indicates that monsoon rainfall became less frequent but more intense in India during the latter half of the
Twentieth Century, thus increasing the risk of drought and flood damage to the country’s wet-season (kharif) rice crop. Our statistical analysis of state-level Indian data confirms that drought and extreme rainfall negatively affected
rice yield (harvest per hectare) in predominantly rainfed areas during 1966–2002, with drought having a much greater impact
than extreme rainfall. Using Monte Carlo simulation, we find that yield would have been 1.7% higher on average if monsoon
characteristics, especially drought frequency, had not changed since 1960. Yield would have received an additional boost of
nearly 4% if two other meteorological changes (warmer nights and lower rainfall at the end of the growing season) had not
occurred. In combination, these changes would have increased cumulative harvest during 1966–2002 by an amount equivalent to
about a fifth of the increase caused by improvements in farming technology. Climate change has evidently already negatively
affected India’s hundreds of millions of rice producers and consumers. 相似文献
7.
辽宁水稻主产区稻瘟病发生特征分析 总被引：5，自引：0，他引：5
利用1999-2012年辽宁省8个水稻主产区（17个观测点）的稻瘟病资料,分析辽宁省水稻主产区稻瘟病的发生特征及发展趋势。结果表明：2001年、2003年和2010年辽宁地区水稻产量显著下降,水稻生产受稻瘟病影响较大。2011年辽宁水稻种植主要集中在沈阳、盘锦、铁岭、辽阳、丹东和营口地区,其余地区也有少量种植。2001年辽宁稻瘟病（主要为穗颈瘟）发生严重,发病率为27.7 %。稻瘟病主要在新宾和清原发生严重,平均发病率分别为17.0 %和16.4 %。辽宁不同熟期水稻以中早熟品种稻瘟病发生严重,平均发病率为10.1 %。辽宁不同区域以辽东地区水稻稻瘟病发生严重,平均发病率为11.2 %。 相似文献
8.
Urban growth has received little attention in large-scale land change assessments, because the area of built-up land is relatively small on a global scale. However, this area is increasing rapidly, due to population growth, rural-to-urban migration, and wealth increases in many parts of the world. Moreover, the impacts of urban growth on other land uses further amplified by associated land uses, such as recreation and urban green. In this study we analyze urban land take in cropland areas for the years 2000 and 2040, using a land systems approach. As of the year 2000, 213 Mha can be classified as urban land, which is 2.06% of the earth’s surface. However, this urban land is more than proportionally located on land that is suitable and available for crop production. In the year 2040, these figures increase to 621 Mha, or 4.72% of all the earth’s surface. The increase in urban land between 2000 and 2040 is also more than proportionally located on land that is suitable and available for crop production, thus further limiting our food production capacity. The share of urban land take in cropland areas is highest in Europe, the Middle-East and Northern Africa, and China, while it is relatively low in Oceania and Sub-Saharan Africa. Between 2000 and 2040, urban growth caused the displacement of almost 65 Mton of crop production, which could yield an expansion of up to 35 Mha of new cropland. Land-use planning can influence both the location and the form of urbanization, and thus appears as an important measure to minimize further losses in crop production. 相似文献
9.
Assessment of agricultural drought using a simple water balance model in the Free State Province of South Africa 总被引：1，自引：1，他引：0
Water Requirement Satisfaction Index (WRSI) at three different probability levels (20%, 50%, and 80%) was used to quantify drought affecting rain-fed maize production in the Free State Province of South Africa based on climate data from 227 weather stations. Results showed high spatial variability in the suitability of different areas: the southern and southwestern localities are unsuitable due to high drought incidences; the northern, central, and western regions are marginally suitable; the eastern, northerneastern areas and a few patches in the northwest are highly suitable with relatively low drought severity. Proper choice of maize varieties to suit conditions at different localities is crucial. The Mann–Kendall test and coefficient of variation were further used to determine trends and temporal variability, respectively, in the WRSI, seasonal rainfall, and seasonal maize water requirements. Results of this analysis revealed no significant positive trends in the WRSI, no significant negative trends in seasonal rainfall, and no significant positive trends in maize water requirements, contradicting previous findings of increased drought severity. Seasonal rainfall and the WRSI showed high interseasonal variability, while seasonal maize water requirements showed low variability. In view of these observations, it is apparent that realignment of management practices is an overdue prerequisite for sustainable maize production. 相似文献
10.
Rice is the most rapidly growing staple food in Africa and although rice production is steadily increasing, the consumption is still out-pacing the production. In Tanzania, two important diseases in rice production are leaf blast caused by Magnaporthe oryzae and bacterial leaf blight caused by Xanthomonas oryzae pv. oryzae. The objective of this study was to quantify rice yield losses due to these two important diseases under a changing climate. We found that bacterial leaf blight is predicted to increase causing greater losses than leaf blast in the future, with losses due to leaf blast declining. The results of this study indicate that the effects of climate change on plant disease can not only be expected to be uneven across diseases but also across geographies, as in some geographic areas losses increase but decrease in others for the same disease. 相似文献
11.
基于1981-2016年江苏省不同区域一季稻产量序列,计算站点尺度的气温、降水、日照适宜度以及综合气候适宜度,在此基础上构建基于气候适宜指数的作物产量预报模型,开展不同空间尺度的一季稻产量精细化预报。同时,以各主产地市、县一季稻种植面积百分比为权重,加权集成省级产量,开展基于不同空间尺度一季稻产量序列的大区域尺度产量预测。结果表明:(1)江苏省不同区域一季稻气象产量与不同时段气候适宜指数之间存在较高的相关性,基于气候适宜指数的预报方法适用于江苏省不同区域一季稻单产预报。(2)2012-2016年省级尺度模型预报平均准确率高于97.5%,主产地市、县模型平均预报准确率低于省级尺度预报模型,主产县预报准确率年际间波动较大,表明预报区域越小,预报的难度提升。(3)基于气候适宜指数模型的江苏省级、主产地市集成,主产县集成模型预报准确率大部在95%以上,整体上看主产县集成优于主产地市集成,主产地市集成优于省级尺度模型。由此,开展地市级和县级尺度的精细化产量预报可提升省级尺度预报准确率,同时提高县级作物产量预报能力。 相似文献
12.
为了建立南方双季稻低温灾害综合预测预警技术体系, 基于南方双季稻种植区1961—2010年708个气象站的逐日气象资料、水稻生育期资料和低温灾害发生的气象行业标准,采用Fisher判别分析法、因子膨化法、相关性分析法,利用SPSS软件构建早稻春季低温灾害高风险区 (Ⅰ区) 未来10 d、晚稻寒露风高风险区 (Ⅰ区)、主灾区 (Ⅱ区) 未来5 d的低温灾害发生等级逐日滚动预警模型。其中,1961—2009年资料用于模型构建和回代检验,2010年资料用于模型的外延预测。结果表明:早稻、晚粳稻、晚籼稻Ⅰ区平均外延预测基本一致准确率分别达到90.5%,74.2%,80.3%,晚粳稻、晚籼稻Ⅱ区平均外延预测基本一致准确率分别为89.4%和80.3%。构建的南方双季稻低温灾害逐日滚动预警模型的外延预测基本一致准确率多超过80%,等级预测检验误差总体上在1个等级以内,模型评价效果较好。 相似文献
13.
为了提高产量趋势预报的准确性和定量预报的准确率,利用1962—2002年气象、早稻产量和田间观测资料,建立基于气候适宜度、关键气象因子、作物生长模型的湖南省早稻产量动态预报方法,进行回代检验;并利用2003—2012年资料进行预报检验。分析表明:3种方法的预报准确率比较接近,平均在93.8%以上;基于气候适宜度预报方法的趋势预报准确性最高,较基于关键气象因子的预报方法高4%~6%;基于作物生长模型预报方法的误差5%以内样本百分率最高,较基于气候适宜度的预报方法高2%~20%。研究结果为湖南省早稻产量动态预报筛选出了较优的方法,即产量趋势预报选用基于气候适宜度的方法,定量预报选用基于作物生长模型的方法,同时可供我国其他早稻区的产量动态预报方法研究借鉴。 相似文献
14.
15.
The study aimed to evaluate the influence of the rainfall and aridity index variability on the process of land degradation (desertification) in order to establish the current degree of increase or decrease in dryness in the watershed of the upper Paraíba River. It included all or part of 18 municipalities, distributed in the western and eastern Cariri regions of Paraíba state. The monthly average values of reference evapotranspiration according to Penman-Monteith method were applied in the annual hydrological balance for obtaining the annual time series of the aridity index for the period from 1950 to 2013. The Mann-Kendall test (MK) was used for trend identification in the annual time series of rainfall and aridity index, at a significance level of α = 0.05. The slope of the trends was obtained by Sen’s method, and the values of rainfall, aridity index, and statistics MK were spatially kriging, to generate thematic maps. The results indicate an increase in rainfall and reduced dryness in the watershed of the upper Paraíba River, conditions that do not contribute to trigger the process of land degradation (desertification), indicating that the cause of this environmental problem is not climatic. Thus, it can be suggested that the observed manifestations of land degradation (desertification) derive much of human than climatic actions. However, there is a trend of increasing dryness and reducing rainfall in the central portion of the watershed, with stronger core in the location of Camalaú. The spatial distribution of rainfall and aridity index shows that minimum values of rainfall coincide with maximum values of the aridity index. Higher values of rainfall were observed in the northwestern portion of the watershed, while the northeast and southeast portions had the lower rainfall values, with the strongest core in the locality of Cabaceiras. The eastern sector of the watershed has high dryness, unlike the western sector, rainier, with minimum values of dryness. In the western portion of the watershed, the aridity index was in the range considered semiarid, with moderate susceptibility to land degradation process. Similarly, in the eastern portion, the dryness stood in the range considered arid, with high susceptibility. The cores with more pronounced dryness correspond to the municipalities of Cabaceiras, Caraúbas, and São João do Cariri. 相似文献
16.
为合理利用吉林市气候资源,提升烤烟生产效益,开展烤烟栽培气候适宜性定量评估,以制定烤烟种植优化调整方案。采用烤烟产量、气象和海拔高程等数据,基于气象条件对当地烤烟的影响,以及烤烟栽培气候资源供求关系,确定影响烤烟栽培的气象要素。采取模糊数学方法建立吉林市烤烟适宜度隶属函数及综合评价模型。考虑到海拔高度和经纬度与气象条件的关系,建立吉林山区诸气象要素的地理分布模式,在GIS平台下实现吉林市烤烟种植适宜度的精细化气候区划。结果表明：吉林市大部分地方都比较适宜烤烟栽培,但气候适宜度存在明显的区域差异,可划分为最适宜区、适宜区、次适宜区、不适宜区4类。研究区域东部和南部海拔500-800 m左右的中山地带适合烤烟栽培,但其中海拔800 m以上的高山地带气温过低,不适宜烤烟栽培;西部半山-平原区适宜度并不高。蛟河市适宜烤烟种植面积最大,其次是桦甸市,磐石市和舒兰市也较适宜烤烟栽培。烤烟精细区划结果与当地多年烤烟种植区域有一致性,但仍有较大的优化调整空间和增产增收潜力。 相似文献
17.
掌握新疆天山北坡酿酒葡萄成熟期降雨特征，对科学制定酿酒葡萄种植规划，采取趋利避害的生产管理技术措施具有实际意义。基于天山北坡35个气象站1961-2016年8-9月逐日降雨资料，采用线性趋势法和ArcGIS空间插值技术，对过去56a该区域酿酒葡萄成熟期（8-9月）降雨日数、降雨量、连阴雨天气次数、连阴雨天气降雨强度等要素的时空变化进行研究，并对照前人关于该区域酿酒葡萄种植气候适宜性区划成果，对酿酒葡萄不同适宜种植区葡萄成熟期降雨特征及其影响进行分析。结果表明：天山北坡酿酒葡萄成熟期（8-9月）降雨日数、降雨量、连阴雨天气次数、降雨强度、大量以上降雨日数的空间分布均总体呈现随海拔高度的升高而增加的特点。1961-2016年，研究区酿酒葡萄成熟期除降雨日数总体以-1.16d·10a-1的倾向率极显著 (P=0.001)减少，大量以上降雨日数以0.07d·10a-1的倾向率显著 (P=0.05)增多外，降雨量、连阴雨天气次数、连阴雨天气日数及其降雨量变化趋势均不显著。天山北坡酿酒葡萄种植气候最适宜和适宜区葡萄成熟期的降雨量、降雨日数、连阴雨天气次数、连阴雨天气日数及其降雨量都很小，期间总降雨量大多不足40 mm、降雨日数少于20 d、大量以上降雨日数不足1 d、连阴雨天气次数少于0.3次、连阴雨天气日数少于5d、连阴雨天气降雨量不足25mm，该分区降雨量以及连阴雨天气少，对提高酿酒葡萄产量和品质十分有利。酿酒葡萄次适宜种植区葡萄成熟期降雨天气稍多，降雨量40～90 mm、降雨日数20～25 d、大量以上降雨日数1～2 d、连阴雨天气次数0.3～1.0次、连阴雨天气日数5～8 d、连阴雨天气降雨量25～40 mm，对酿酒葡萄产量和品质有一定不利影响。天山北坡8-9月降雨量90 mm以上、降雨日数30d以上、大量以上降雨日数2d以上、连阴雨天气次数多于1.0次、连阴雨天气日数8d以上、连阴雨天气降雨量40 mm以上的区域均在海拔1500m以上的山区，该区域恰恰也是酿酒葡萄不适宜种植区，因此对酿酒葡萄无影响。综上所述，新疆天山北坡酿酒葡萄种植区尤其是适宜及最适宜种植区葡萄成熟期的降雨量、降雨日数、连阴雨天气次数和日数都较小，且近56a稳定少变，因此，对该区域酿酒葡萄生产的影响较小。 相似文献
18.
基于气候适宜指数的江西晚稻产量动态预报模型构建及应用 总被引：3，自引：1，他引：3
本文利用1981—2014年江西91个气象观测站的地面气象观测资料和同期的分县晚稻产量资料,结合江西地区气候特点及晚稻生理特性,构建适用于江西地区晚稻降水、温度、日照及综合适宜度模型,并根据适宜度与产量的相关关系,确定气候适宜指数,建立基于气候适宜指数的江西晚稻产量动态预报模型,并对模型进行了回代检验及预报检验,从而实现对江西地区晚稻气候适宜度诊断及晚稻产量动态预报的目的。结果表明:模型的回代检验、产量丰歉趋势、产量动态预报检验的准确率均较高,能够满足业务的需要。 相似文献
19.
Climate change impacts on regional rice production in China 总被引：1，自引：0，他引：1
Zunfu Lv Yan Zhu Xiaojun Liu Hongbao Ye Yongchao Tian Feifei Li 《Climatic change》2018,147(3-4):523-537
Rice (Oryza sativa L.) production is an important contributor to China’s food security. Climate change, and its impact on rice production, presents challenges in meeting China’s future rice production requirements. In this study, we conducted a comprehensive analysis of how rice yield responds to climate change under different scenarios and assessed the associated simulation uncertainties of various regional-scale climate models. Simulation was performed based on a regional calibrated crop model (CERES-Rice) and spatially matched climatic (from 17 global climate models), soil, management, and cultivar parameters. Grain-filling periods for early rice were shortened by 2–7 days in three time slices (2030s, 2050s, and 2070s), whereas grain-filling periods for late rice were shortened by 10–19 days in three time slices. Most of the negative effects of climate change were predicted to affect single-crop rice in central China. Average yields of single-crop rice treated with CO2 fertiliser in central China were predicted to be reduced by 10, 11, and 11% during the 2030s, 2050s, and 2070s, respectively, compared to the 2000s, if planting dates remained unchanged. If planting dates were optimised, single-crop rice yields were predicted to increase by 3, 7, and 11% during the 2030s, 2050s, and 2070s, respectively. In response to climate changes, early and single-crop rice should be planted earlier, and late rice planting should be delayed. The predicted net effect would be to prolong the grain-filling period and optimise rice yield. 相似文献
20.
Reducing Emissions from Deforestation and forest Degradation (REDD+) has gained momentum as a climate mitigation strategy that can be implemented at multiple scales. Sub-nationally, REDD+ projects that aim to capture carbon funding are implemented throughout tropical countries. A spatial targeting approach for optimal REDD+ project landscape is demonstrated using Tanzania as an example. This study used GIS-based Multi-criteria Decision Analysis to identify potential areas for REDD+ projects development incorporating different combinations of criteria. The first approach, efficient targeting, focuses on areas with high forest carbon content, high deforestation risk and low opportunity cost. The second approach, co-benefits targeting, aims at areas with high biodiversity and high poverty rate on top of criteria in efficient targeting. The resulting suitability maps displays areas of high, medium and low suitability for future REDD+ projects development based on the targeting approaches. Locations of current REDD+ projects in Tanzania were also overlaid with suitability map to visually inspect how they match up. This approach allows decision-makers to prioritize preferences for various site-selection criteria and make informed decisions about REDD+ projects locations. 相似文献