On the intensity and type transition of land use at the basin scale using RS/GIS: a case study of the Hanjiang River Basin

Yu, Guangming; Zeng, Qun; Shan, Yang; Hu, Limei; Lin, Xingwen; Che, Yi; Zheng, Yulin

doi:10.1007/s10661-008-0666-y

Cited by 35 publications

(10 citation statements)

References 29 publications

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“…Farm Quantify agricultural inputs related Herzog et al, 2006;Reidsma et al, 2006;Geiger et al, 2010; to land productivity Armengot et al, 2011;Fumagalli et al, 2011;Nemecek et al, 2011;Dietrich et al, 2012;Teillard et al, 2012;Gaudino et al, 2014;Jepson et al, 2014LUI + multidiversity/biodiversity Flynn et al, 2009Kleijn et al, 2009;Snapp et al, 2010;Allan et al, 2014;Egorov et al, 2014 Global to local Land use changes Foley, 2005;Reidsma et al, 2006;Serra et al, 2008;Chen et al, 2009;Rudel et al, 2009;Yu et al, 2010;Temme and Verbug, 2011;Salvati and Tombolini, 2013;Kandziora et al, 2014 Regional Land use change model: CLUE model Verburg et al, 2002;Lima et al, 2011 Continental Scenarios of future agricultural land use Rounsevell et al, 2003;Rounsevell et al, 2005;Audsley et al, 2006 Global to local Model simulations + Crop yields; Lobell et al, 2009;Ribeiro et al, 2014 Modelling farming system dynamics Global to local Intensity analysis Aldwaik and Pontius, 2012;Huang et al, 2012 Global to local Changes in land use and changes in yields Ewers et al, 2009;Barretto et al, 2013 National Land use change + HANPP Erb, 2012;Erb, 2014 National HANPP Kraussmann et al, 2012 Local Urban expansion/population …”

Section: Scale Methodology Referencementioning

confidence: 99%

Indicators of agricultural intensity and intensification: a review of the literature

Ruiz-Martinez

Marraccini²,

Debolini

et al. 2015

Ital J Agronomy

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Since the 1960s, research has dealt with agricultural intensification (AI) as a solution to ensure global food security. Recently, sustainable intensification (SI) has increasingly been used to describe those agricultural and farming systems that ensure adequate ecosystem service provision. Studies differ in terms of the application scales and methodologies, thus we aim to summarize the main findings from the literature on how AI and SI are assessed, from the farm to global levels. Our literature review is based on 7865 papers selected from the Web of Science database and analysed using CorText software. A further selection of 105 relevant papers was used for an in-depth full-text analysis on: i) farming systems studied; ii) related ecosystem services; iii) indicators of intensity; and iv) temporal and spatial scales of analysis. Through this two-step analysis we were able to highlight three main research gaps in the AI research indicators. Firstly, the farming systems analysed for assessing AI are often quite simplified or monoculture-oriented, and they do not take the diversity and complex organisation of farming systems into account. Secondly, these studies mainly focus on northern countries or developing countries, whereas there is a gap of knowledge in Mediterranean areas, which are the areas with a high complexity of farming systems and diversity in ecosystem services. Finally, AI is mostly assessed through nitrogen inputs and economic yield, which are used the most both at very local and global levels. Intermediate regional or local levels, which are relevant for policy implementation and local planning, are often neglected.

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Section: Scale Methodology Referencementioning

confidence: 99%

Indicators of agricultural intensity and intensification: a review of the literature

Ruiz-Martinez

Marraccini²,

Debolini

et al. 2015

Ital J Agronomy

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“…Mean surface air temperature increased significantly, and obvious decadal variations of precipitation, dryness–wetness index and pan evaporation were also detected [ Ren et al , 2011]. In addition, change in land use and land cover has been observed in Hanjiang River Basin [ Yu et al , 2010]. Change in streamflow was reported at the Danjiangkou Reservoir [ Chen et al , 2007].…”

Section: Introductionmentioning

confidence: 99%

Dramatic decrease in streamflow from the headwater source in the central route of China's water diversion project: Climatic variation or human influence?

Liu¹,

Liu²,

Luo³

et al. 2012

J. Geophys. Res.

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.[1] The Danjiangkou Reservoir is the headwater source of the central route of China's South to North Water Diversion Project (SNWDP). Average annual streamflow into the Reservoir was 40.97 km 3 from 1951 to 1989, while it was 31.64 km 3 from 1990 to 2006. Between the two periods, the average annual streamflow was reduced by 9.33 km 3 , accounting for 71.8% of the proposed amount of water diversion of the central route (13 km 3 per year). The sharply decreasing streamflow would inevitably have negative impacts on the implementation of the SNWDP. The reasons for the decrease in streamflow should be investigated before developing any adaption strategies. In this study, the impacts of climatic variation and human activities on streamflow were evaluated by a climate elasticity method. The results show that the impact of climatic variation (indicated by precipitation and potential evapotranspiration) was responsible for 84.1-90.1% of the streamflow reduction, while human activities or other indentified uncertainties contributed 9.9-15.9% of the streamflow reduction. The observed 69.89 mm decrease in average annual precipitation contributed 81.6-87.3% of the decrease in streamflow. According to the observed data during the study period, the planned water diversion could lead to an ecological disaster of the downstream area of the Danjiangkou Reservoir in certain years. We suggest that the water diversion from the Danjiangkou Reservoir should be conducted in an adaptive manner to avoid such an adverse consequence, instead of the current plan of a fixed annual amount of water.Citation: Liu, X., C. Liu, Y. Luo, M. Zhang, and J. Xia (2012), Dramatic decrease in streamflow from the headwater source in the central route of China's water diversion project: Climatic variation or human influence?,

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“…Detection and monitoring of wetland transitions included the use of multi-date images to evaluate the differences in wetland patterns [17,20]. Overlay analysis was implemented for continuous years to examine the inherent dynamics of wetlands during different periods.…”

Section: Monitoring Indices Of Wetland Transition and Urban Expansionmentioning

confidence: 99%

“…When wetlands are in their original state or at the beginning of a transition, the values of NTI and TTI are the same due to a single change (e.g., NW1 to NW2). When wetlands are in the middle stages of the transition process, bi-directional conversions might occur [17,22]. Generally, the TTI value is much greater than the NTI value.…”

Section: Characteristics Of Wetland Transitions Under Rapid Urban Expmentioning

confidence: 99%

“…Different methods, such as rate of change of total wetland area [16][17][18], transition matrices for the process of wetland loss [9,19,20], and landscape pattern indices for wetland development [21][22][23], have been used to measure and evaluate wetland changes with absolute amounts by comparing their state at two time points. However, because the differences between newly increased wetlands and well-preserved ones, as well as between the same wetland types, are significant in structure and function due to their development period and location [13], understanding the internal transitions together with analyses of wetland changes plays an important role in conservation and restoration of wetlands [24].…”

Section: Introductionmentioning

confidence: 99%

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Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

Zhao¹,

Wang²,

Cai³

et al. 2016

Sustainability

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Understanding wetland changes under urbanization is important for wetland management. In this study, net transition intensity (NTI) and total transition intensity (TTI) are presented to characterize wetland transitions based on spatial data obtained from Landsat satellite images of Pearl River estuary in South China. NTI is commonly used to represent changes in absolute amounts for each class of wetland, while TTI reflects the internal transition activities and amounts. The third index, the urbanization intensity index (UII), is used to investigate the intensity and velocity of urban land expansion at the same time periods. The results show that one-third of the total wetland area was lost from 1979 to 2009 in the study area and seven types of estuarine wetlands were degraded. The basic pattern of wetland transition is from natural wetlands to constructed wetlands and then to urban lands. Intertidal mud and sand and paddy fields were the major natural and constructed wetlands, respectively, transferred to urban lands. The TTI value was generally greater than the NTI value for these wetlands. TTI >> NTI is an important indicator for wetland transitions under rapid urban expansion in the Pearl River estuary. Based on the integration of the two indices (NTI and TTI), a protection and management plan framework for the Pearl River estuary wetlands is proposed. This plan emphasizes the key and important zones and their different features, and includes actions that can be implemented in and around natural and constructed wetlands.

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On the intensity and type transition of land use at the basin scale using RS/GIS: a case study of the Hanjiang River Basin

Cited by 35 publications

References 29 publications

Indicators of agricultural intensity and intensification: a review of the literature

Indicators of agricultural intensity and intensification: a review of the literature

Dramatic decrease in streamflow from the headwater source in the central route of China's water diversion project: Climatic variation or human influence?

Wetland Transitions and Protection under Rapid Urban Expansion: A Case Study of Pearl River Estuary, China

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