Influence of Agricultural Developments on Net Primary Productivity (NPP) in the Semi-arid Region of India: A Study using GloPEM Model

Gholkar, Madhav; Goroshi, Sheshakumar; Singh, R. P.; Parihar, J. S.

doi:10.5194/isprsarchives-xl-8-725-2014

Cited by 14 publications

(10 citation statements)

References 16 publications

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“…This may also be due to shifting cultivation, which is still practiced in some north-eastern states leading to significant change in land cover (State of Forest Report 1999). In contrast, considerable increase in area under irrigation and a change in cropping pattern and cultivars might have increased annual ET over non-forest regions (figure 7d) particularly over arid and semi-arid regions of western and southern parts of India (Gholkar et al 2014). But these contrasting situations need investigation at finer scales with more statistics on crops, irrigation and intensification of agriculture.…”

Section: Annual Variability Of Etmentioning

confidence: 99%

“…This positive trend has been attributed to developments in agriculture such as increase in irrigated area under canal command, increased frequency and amount of irrigation, increased ground water pumping, increase in cropping intensity and change in cultivars (Gholkar et al 2014). Large variability in rainfall and recent developments in arid and semi-arid regions provide a unique near-natural condition for studying the dynamics of land evapotranspiration and its response to climate change over India at a national scale.…”

Section: Study Areamentioning

confidence: 99%

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Trend analysis of evapotranspiration over India: Observed from long-term satellite measurements

et al. 2017

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Owing to the lack of consistent spatial time series data on actual evapotranspiration (ET), very few studies have been conducted on the long-term trend and variability in ET at a national scale over the Indian subcontinent. The present study uses biome specific ET data derived from NOAA satellite's advanced very high resolution radiometer to investigate the trends and variability in ET over India from 1983 to 2006. Trend analysis using the non-parametric Mann-Kendall test showed that the domain average ET decreased during the period at a rate of 0.22 mm year −1. A strong decreasing trend (m = −1.75 mm year −1 , F = 17.41, P <0.01) was observed in forest regions. Seasonal analyses indicated a decreasing trend during southwest summer monsoon (m = −0.320 mm season −1 year −1) and post-monsoon period (m = −0.188 mm season −1 year −1). In contrast, an increasing trend was observed during northeast winter monsoon (m = 0.156 mm season −1 year −1) and pre-monsoon (m = 0.068 mm season −1 year −1) periods. Despite an overall net decline in the country, a considerable increase (>4 mm year −1) was observed over arid and semi-arid regions. Grid level correlation with various climatic parameters exhibited a strong positive correlation (r > 0.5) of ET with soil moisture and precipitation over semi-arid and arid regions, whereas a negative correlation (r<−0.5) occurred with temperature and insolation in dry regions of western India. The results of this analysis are useful for understanding regional ET dynamics and its relationship with various climatic parameters over India. Future studies on the effects of ET changes on the hydrological cycle, carbon cycle, and energy partitioning are needed to account for the feedbacks to the climate.

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Section: Annual Variability Of Etmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Trend analysis of evapotranspiration over India: Observed from long-term satellite measurements

et al. 2017

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“…However, this advance also resulted in an overexploitation problem due to the existing groundwater usage pattern (the conversion of traditional water-harvesting structures such as farm ponds to groundwater storage structures) (Kale 2017 ). Agricultural mechanization, high-yielding crop varieties and fertilizer use have enhanced the Net Primary Productivity (NPP) in agriculture in this region (Gholkar et al 2014 ). Similar observations were made regarding the role of agricultural technologies that resulted in an increased area under cultivation in the country (Tian et al 2014 ; Roy et al 2015 ; Meiyappan et al 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India

Duraisamy¹,

Bendapudi²,

Jadhav³

2018

Environ Monit Assess

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The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India. Advanced very high-resolution radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) 3g data for the years 1982–2015 were used to identify the ‘hotspot’ with significant positive and negative LUCC. Multi-temporal Landsat imagery was used to produce finer scale land use maps. From 1991 to 2016, the agricultural land area increased by approximately 98% due to the conversion of uncultivable and fallow lands to agriculture. The built-up area increased by 195%, and in recent years, an urban expansion has occurred in agricultural lands close to the urban fringe areas. There has been a shift from food crops to commercial crops, as observed from the steep increase in the amount of land under horticultural plantations, by 1601% from 2001 to 2016. In addition, the area under forest canopy was reduced in the protected regions. Institutional factors that improved access to water resources were the major drivers of change in hotspots, especially in the context of agriculture. Technological and economic factors were the other supporting factors that contributed to the change. This study demonstrates the advantages of using satellite remote sensing techniques to monitor the LUCC, which is useful for predicting future land changes and aids in planning adaptation strategies.

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“…Sustainability 2018, 10, x FOR PEER REVIEW 3 of 17 changes dynamically and in real time and thus more accurately assess the sustainable development of the region [48]. Based on the traditional ecological footprint evaluation method (EF-GAEZ model), this study proposes and validates an improved model on account of net primary productivity (EF-NPP model).…”

Section: Nature Reserve Datamentioning

confidence: 99%

“…An increasing number of nature reserves are involved in various development and construction projects, such as energy, resources, and transportation projects [8]. Some core areas or buffer zones changes dynamically and in real time and thus more accurately assess the sustainable development of the region [48].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)

Liu

Jiang

et al. 2018

Sustainability

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An increasing number of nature reserves are being invaded by various development and construction activities, such as energy, resources, and transportation facilities. The ecological footprint model, which enables a quantitative assessment of ecological sustainability, can assess whether human consumption at various spatial scales falls within the regenerative capacity of the biosphere. Based on the traditional ecological footprint evaluation model: the Global Agro-Ecological Zone (EF-GAEZ model), this study proposes an improved ecological footprint model based on net primary productivity (EF-NPP model) and its validations. In this study, the status of ecological footprints and the ecological carrying capacities of 319 national nature reserves in 2010 is explored, and the changes in ecological surpluses and ecological deficits from 2000 to 2010 are analyzed. The ecological footprint per capita and the ecological carrying capacity per capita calculated by the two models were mostly consistently at the same level (more than 68%), which indicated that the ecological footprint per capita and the ecological carrying capacity per capita of the two models followed the same rule. The EF-NPP model can reflect the change in the global climate, the degradation of the soil, and the progress of the technology.Sustainability 2019, 11, 2 2 of 16 of nature reserves have been developed for tourism, planting, or breeding industries, and local communities have continuously eroded the land of nature reserves [9][10][11]. This pressure greatly exceeds the ecological carrying capacity, which is an ecological concept that assumes that a limited number of individuals can be supported at a given level of consumption wherein the environment is not degraded [12], causing great damage to the main targets of protection and the resources and environment in these areas [13].One way to estimate human demand compared to an ecosystem's carrying capacity is "ecological footprint" accounting [14][15][16]. The ecological footprint is an accounting system of indicators based on the context that the Earth has a finite amount of biological production that supports all life on it [17]. Accounting for the ecological footprint is a non-monetized ecosystem assessment tool and a significant international biophysical method for distinguishing the level of development in recent years [18][19][20]. Bioproductive space has been used as a synonym for the renewable capacity of the Earth's ecosystem to measure the flow of energy into and out of the socioeconomic system, thereby characterizing the interdependence and supportive relation between human society and nature [21]. The ecological footprint could be used to express the space equivalents-individuals or countries occupying bioproductive areas [22]. The idea of this concept is to compare the area needed to support a certain lifestyle with the available area, thus providing a tool to assess whether the consumption is ecologically sustainable [23].The ecological footprint model can assess whether human consumpt...

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Influence of Agricultural Developments on Net Primary Productivity (NPP) in the Semi-arid Region of India: A Study using GloPEM Model

Cited by 14 publications

References 16 publications

Trend analysis of evapotranspiration over India: Observed from long-term satellite measurements

Trend analysis of evapotranspiration over India: Observed from long-term satellite measurements

Identifying hotspots in land use land cover change and the drivers in a semi-arid region of India

Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP)

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