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Vegetation quality and its change in the Three North Shelterbelt Forest region in China 中国三北防护林植被质量及其变化
4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-11-06 DOI: 10.1080/15324982.2023.2269883
Lixia Wang, Jixi Gao, Wenming Shen, Mingyong Cai, Yalin Chen, Tong Xiao, Xinsheng Zhang, Wenfei Tai
AbstractThe Three North Shelterbelt Forest (TNSF) region in northern China is the largest artificial afforestation area in the world. Vegetation quality in the TNSF region has been improved greatly in recent years. This article presents a new approach to characterize vegetation quality by coupling vegetation productivity and coverage, examining the trend of vegetation quality from 2000 to 2021 at 1 km × 1 km spatial resolution by the linear regression trend method, and analyzing the driving forces of that trend. The results revealed a significant spatial difference of vegetation quality. Higher vegetation quality was found in the east and southeast of the TNSF region. Improvement of vegetation quality was found in approximately 80% area of the TNSF region, at a rate of 0 ∼ 52 g C m−2yr−1 with α = 0.05 significance between 2000 and 2021. Vegetation quality deteriorated in a few areas. The increase in CO2 concentrations and annual precipitation facilitated the improvement of vegetation quality, but also human efforts in ecological protection and restoration accelerated the improvement of vegetation quality under the current climate change background. The results might contribute to designing future ecological projects and the scientific adjustment of vegetation restoration strategies.Keywords: Climate changeecological conservationecosystem Three-North Shelter Forest (TNSF)vegetation quality AcknowledgmentsThe author thanks the National Meteorological Information Center and the Resource and Environmental Science Data Center of the Chinese Academy of Sciences for their data support.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis research was funded by National Key R&D Program of China (2021YFB3901103).
摘要中国北方三北防护林区是世界上最大的人工造林区。近年来,TNSF地区的植被质量得到了很大的改善。本文提出了一种耦合植被生产力和覆盖度表征植被质量的新方法,采用线性回归趋势法对2000 - 2021年1 km × 1 km空间分辨率的植被质量趋势进行了研究,并分析了这种趋势的驱动力。结果表明,植被质量存在显著的空间差异。东部和东南部植被质量较高;2000 - 2021年间,约80%的TNSF区域的植被质量以0 ~ 52 g C m−2yr−1的速率改善,α = 0.05显著性。少数地区植被质量下降。CO2浓度的增加和年降水量的增加促进了植被质量的改善,但在当前气候变化背景下,人类对生态保护和恢复的努力也加速了植被质量的改善。研究结果可为未来生态工程的设计和植被恢复策略的科学调整提供参考。关键词:气候变化生态保护生态系统三北防护林植被质量致谢感谢国家气象信息中心和中国科学院资源与环境科学数据中心的数据支持。披露声明作者未报告潜在的利益冲突。本研究资助国家重点研发计划项目(2021YFB3901103)。
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引用次数: 0
Survival of experimentally buried large, winged seeds from open sandy habitats defies the established theory of relatedness between seed size, shape, and longevity 在开放的沙质栖息地中,实验埋下的大而有翼的种子能否存活,与种子大小、形状和寿命之间存在关联的既定理论相悖
4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-10-25 DOI: 10.1080/15324982.2023.2269113
Marzieh Bahadoran, Hamid Ejtehadi, Farshid Memariani, Júlia Tamás, Péter Csontos
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引用次数: 0
Horizontal variability and diurnal fluctuation of soil respiration in corn and soybean rows 玉米和大豆行土壤呼吸的水平变异和日波动
4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-10-11 DOI: 10.1080/15324982.2023.2265331
Peng Yuxing, Yafei Pan, Zishuang Li, Zizhong Li, Shuai Zhang, Zengzhen Song, Yan Zhang, Feixia Zhang
AbstractThis study evaluated the horizontal variability and diurnal fluctuation of soil respiration to accurately capture changes in carbon flux during agricultural production in Lishu County, Jilin Province, China. Corn (Zea mays L.) and soybean (Glycine max L.) were planted with 60-cm row spacing in 2020. The soil respiration rate (SRR) was measured at 2-hour intervals on July 1, August 1, and September 25 using a portable, closed chamber at five positions, P0, P15, P30, P45, and P60, denoting specific distances from the crop rows. The SRR between crop rows was affected both by dates and fields with the coefficient of variation ranging between 7.1 and 37.7%. The SRR at P45 was closest to the mean SRR, with a relative deviation of 0.09–4.85% on July 01 and August 01 in corn and soybean fields. On September 25, the optimal position to measure SRR was between P45 and P60. The sampling dates influenced the optimal time for measuring SRR but were mostly concentrated between 9:00 and 11:00 (24-hour clock) for corn and between 11:00 and 13:00 for soybean. The root biomass of crop rows and diurnal soil temperature were the main factors affecting horizontal variability and diurnal fluctuation of SRR, respectively. We recommend an SRR sampling strategy at P45 between 9:00 and 11:00 for corn and between 11:00 and 13:00 for soybean to decrease the effects of horizontal variability and diurnal fluctuation of SRR.Keywords: Corn and soybean rowsdiurnal fluctuationhorizontal variabilitysoil respiration Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was financially supported by the National Key Research and Development Program of China [no. 2021YFD1500802]; the NSFC-Jilin Joint Fund Project, China [no. U19A2035]; and the 2115 Talent Development Program of China Agricultural University [no. 1191-00109011].
摘要为准确捕捉农业生产过程中土壤呼吸的水平变异和日波动,研究了吉林省梨树县土壤呼吸的水平变异和日波动。2020年以60 cm行距种植玉米(Zea mays L.)和大豆(Glycine max L.)。土壤呼吸速率(SRR)于7月1日、8月1日和9月25日每隔2 h在pp0、P15、P30、P45和P60 5个位置(代表与作物行距的特定距离)采用便携式密闭室测量。行间SRR受日期和大田的影响,变异系数在7.1 ~ 37.7%之间。玉米和大豆在7月1日和8月1日在P45处的SRR与平均SRR最接近,相对偏差为0.09 ~ 4.85%。9月25日测量SRR的最佳位置在P45 ~ P60之间。玉米和大豆的最佳测定时间主要集中在9:00 ~ 11:00(24小时制)和11:00 ~ 13:00之间。作物行根生物量和土壤日温度分别是影响SRR水平变异和日波动的主要因子。建议玉米和大豆的SRR取样时间分别为P45点(9:00 - 11:00)和11:00 - 13:00(13:00),以减小SRR水平变异性和日波动的影响。关键词:玉米和大豆种植日波动水平变异土壤呼吸披露声明作者未报告潜在的利益冲突。本研究由国家重点研究与发展计划资助[no. 1];2021年yfd1500802];国家自然科学基金-吉林省联合基金项目[no. 1];U19A2035];中国农业大学“2115”人才发展计划项目[j];1191 - 00109011]。
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引用次数: 0
Water conservation strategies in big cordgrass (Desmostachya bipinnata L.) for ecological success in hyper-arid and saline-arid environments 超干旱和盐碱化干旱环境下大绳草生态成功的保水策略
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-08-16 DOI: 10.1080/15324982.2023.2234328
S. Bibi, M. S. Ahmad, M. Hameed, A. Alvi
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引用次数: 0
Different sources of nitrogen fertilizer in rainfed maize grown in a semiarid environment 半干旱环境下旱作玉米不同氮肥来源的研究
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-30 DOI: 10.1080/15324982.2023.2240745
M. D. M. Araújo, A. A. Primo, Jose Kioma Sousa Fernandes, L. Vieira, M. Clark, F. L. Guedes, R. Pompeu, E. Sagrilo, H. A. Souza
Although nitrogen is the nutrient most required by maize, doses of N lower than those recommended are applied to maize grown in semiarid environments, which limits the achievement of profitable yields. The objective of this study was to evaluate changes in soil fertility, nutritional status and dry matter production of maize plants fertilized with organic and mineral fertilizers in a semiarid region. A factorial experiment was carried out in Sobral, Cear (cid:1) a state, Brazil, in a randomized block design. The factors were two N sources (organic compost and urea), and four N rates: 27.5, 55, 110 and 165kg ha (cid:1) 1 , with three replications. We assessed variables associated with soil fertility, plant nutritional status, chlorophyll content, grain yield and total dry matter production. The highest rates of organic compost resulted in the highest levels of P (17.7mg dm (cid:1) 3 ) and K (102.2mg dm (cid:1) 3 ) in soil when compared to the control (7.7 and 69.0mg dm (cid:1) 3 , respectively). However, organic compost rates below 110kg ha (cid:1) 1 of N-equivalent fertilizer were not enough to supply the plants ’ demand for P and K. Low N rates promoted a decrease in soil inorganic N in the second year of application. Applying urea to maize plants led to greater dry matter production than organic compost in the second consecutive crop season. The use of organic compost at rates lower than 110kg ha (cid:1) 1 of N-equivalent fertilizer decreases soil fertility and has no impact on maize dry matter production.
虽然氮是玉米最需要的养分,但在半干旱环境中种植的玉米施用的氮剂量低于推荐剂量,这限制了实现有利可图的产量。本研究的目的是评价在半干旱区施用有机肥和矿物肥对玉米植株土壤肥力、营养状况和干物质产量的影响。本研究采用随机区组设计,在巴西西尔州索布拉尔市(cid:1)进行了因子试验。两种氮源(有机堆肥和尿素)和27.5、55、110和165kg ha (cid:1) 1 4种施氮量,3个重复。我们评估了与土壤肥力、植物营养状况、叶绿素含量、粮食产量和总干物质产量相关的变量。施用有机堆肥后,土壤磷含量(17.7mg dm (cid:1) 3)和钾含量(102.2mg dm (cid:1) 3)分别高于对照(7.7和69.0mg dm (cid:1) 3)。然而,氮肥用量低于110kg ha (cid:1) 1的有机堆肥量不足以满足植株对磷和钾的需求,低施氮量导致施用第二年土壤无机氮减少。连续第二个作物季,在玉米植株上施用尿素比施用有机堆肥产生更多的干物质。氮肥用量低于110kg / h (cid:1)时,土壤肥力降低,对玉米干物质产量无影响。
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引用次数: 1
Salicornia sinus-persica: a high-yielding species for fodder production with seawater 海角鱼:一种海水饲料高产品种
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-28 DOI: 10.1080/15324982.2023.2238258
Gholamhassan Ranjbar, R. Khademi, Farhad Dehghanie, Sardar Keshtkar, K. Islam
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引用次数: 0
GIS-based multi-criteria analysis for flood hazard areas mapping of M’zab wadi basin (Ghardaia, North-Central Algeria) 基于gis的M’zab wadi盆地(阿尔及利亚中北部Ghardaia)洪水危险区制图多准则分析
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-27 DOI: 10.1080/15324982.2023.2235315
Abdelkader Hamlat, Salim Meharzi, Azeddine Guidoum, Mohamed Sekkoum, Youcef Mokhtari, C. Kadri
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引用次数: 0
Seed recovery of native plant species of the Caatinga biome ingested by goats and its effect on seed germination, in Brazilian semiarid region 巴西半干旱区山羊摄食Caatinga原生植物群落种子恢复及其对种子萌发的影响
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-25 DOI: 10.1080/15324982.2023.2235316
J. S. Nóbrega, Riselane de Lucena Alcântara Bruno, Lucy Gleide da Silva, L. K. S. Lima, Ariosvaldo Nunes de Medeiros, Alberício Pereira de Andrade, André Luíz Rodrigues Magãlhaes, Cosmo Rufino de Lima
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引用次数: 1
Screening for native Trichoderma strains as potential biocontrollers of the olive pathogen Verticillium dahliae 橄榄病原菌大丽花黄萎病拮抗菌木霉的筛选
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-12 DOI: 10.1080/15324982.2023.2233933
Franca Carrasco, Victoria Miranda, S. Sede, S. Bustos, Valeria González, Laura Otero, S. Fracchia
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引用次数: 0
Variations in chemical constituents of the rhizosphere of bread wheat genotypes and their significance for using as markers for heat and drought tolerance 面包小麦基因型根际化学成分的变化及其作为耐热性和耐旱性标记的意义
IF 1.4 4区 农林科学 Q3 ENVIRONMENTAL SCIENCES Pub Date : 2023-07-05 DOI: 10.1080/15324982.2023.2229763
O. P. Ahlawat, Nisha Walia, K. Venkatesh, Dhinu Yadav, S. Sheoran, N. Arora, Gyanendra Singh
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引用次数: 0
期刊
Arid Land Research and Management
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