Landscape Diversity Indexes Application for Agricultural Land Use Optimization

Kuchma, Tetyana; Tarariko, O.; Syrotenko, Oleksandr

doi:10.1016/j.protcy.2013.11.080

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…Since then, land use transition has become a common method used to explore the evolution of the human-land relationship [42], and the main contents of this research are the driving forces of land use change [43], dynamic land use evolution process [20], and development prediction and environmental impact assessment [44]. In recent years, many scholars have used landscape diversity indices, fragmentation, fractal dimension, and other indicators to describe the state of land use and spatial change trends [45]. The land use comprehensive index model and land use transfer matrix are used to reflect the transition state of temporal and spatial change [20][21][22][23], and the social driving force model, IMPL integration model, AIM model, deforestation model, and economic theory model have been introduced to deeply analyze the causes, processes, and prediction of land use transition [46], which have become the main research methods of land use transition.…”

Section: Land Use Transition Theorymentioning

confidence: 99%

Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China

Wang

Qin

Jia

et al. 2022

IJERPH

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The linkage mechanisms and optimization strategies between land use transition and eco-environmental effects that occur in the production-living-ecological space of karst mountain areas remain under-explored in the current literature. Based on county data collected in Longlin Multinational Autonomous County of Guangxi, which is located in the rocky desertification area of Yunnan, Guangxi, and Guizhou, this study contributes a county-level analysis on land use transition and eco-environmental effects by addressing two research questions: (1) Which factors of land use transition are related to the eco-environmental effects of production-living-ecological space? (2) What are the key land allocation mechanisms behind the interventions of local rocky desertification regulation policies? We conducted two sets of analyses to answer these two questions: quantitative analyses of the spatial and temporal evolution between land use transition, rocky desertification, and its eco-environmental effects, and qualitative analyses of policy interventions on production-living-ecological land development and rocky desertification management. The findings show that the occurrence of rocky desertification accompanied by unreasonable land use structure transition and its important factor is caused by ecological land being restricted by production-living land. Specifically, urbanization strategies coordinating ecological and socio-economic effects is significant to karst mountain areas. Moreover, the orderly increase of woodland slows down rocky desertification. Policies of “returning farmland to forest” and “afforestation of wasteland” have significantly reduced rocky desertification that can be applied to other geographical situations.

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Section: Land Use Transition Theorymentioning

confidence: 99%

Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China

Wang

Qin

Jia

et al. 2022

IJERPH

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“…The agricultural diversification was proved to increase the crop production (Burchfield et al, 2019). It was suggested that more diverse agroecosystems are more productive and stable than less diverse landscapes (Kuchma et al, 2013). Biodiversity-based agriculture can increase its efficiency by expanding ecosystem services (Duru et al, 2015;Dudley & Alexander, 2017).…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Landscape Diversity and Crops Productivity: Landscape Scale Study

Zymaroieva¹,

Жуков

Fedoniuk

et al. 2021

Journal of Landscape Ecology

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The present study evaluates the relationship between the crops productivity and ecosystem diversity. The spatial variability in ecosystem diversity was measured using the Shannon landscape diversity index and distance from biodiversity hotspots that are nature conservation areas. Three crops were selected for the study: soybeans, sunflowers and winter rye. The initial data included the average crops yields in administrative districts within 10 regions of Ukraine. It was found that the studied crops yield dynamics from the mid-90s of the previous century to the current period could be described by a sigmoid curve (log-logistic model). The parameters of the yield model are the following indicators: the minimum level of yield (Lower Limit); maximum level of productivity (Upper limit); the slope of the model, which shows the rate of change in yields over time; ED50 - the time required to achieve half, from the maximum yield level. Our studies have shown that there is a statistically significant regression relationship between the yield parameters of all the studied crops and biodiversity, even at the landscape level. Among the studied crops, soybean shows the strongest regression relationship between yields and indicators of landscape diversity. Sunflower yield is the least dependent on landscape diversity. Most of the established dependencies are nonlinear, which indicates the existence of an optimal level of landscape diversity to achieve the maximum possible crop yields. Therefore, the obtained patterns can be the basis for land-use planning and management, especially while creating new natural protected areas.

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“…Many landscape indices were developed in the system of satellite monitoring which characterize fragmentation, uniformity, division, complexity, heterogeneity or, vice versa, homogeneity [6,16]. The map schemes of territory zoning according to Shannon diversity index were used to compare the structure of two testing agrarian grounds: M14 with the dominating class of agricultural lands and K7 with prevalence of many fragments of different classes (Fig.…”

Section: Resultsmentioning

confidence: 99%

Satellite agroecological monitoring within the system of sustainable environmental management

Tarariko¹,

Ilienko²,

Kuchma³

et al. 2019

Agric. sci. pract.

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Satellite data are a relevant part of information, required for sustainable environmental management, assessment of the impact of economic activity of ecosystems, determination of risks, related to global climate changes, desertifi cation processes, loss of landscape and biotic diversity. Aim. To substantiate the reasonability and prove the effi ciency of using satellite data in the agroecologic monitoring system regarding the impact of climate changes on vegetation, processes of soil erosion degradation, and assessment of landscape diversity. Methods. The study was conducted in the territory of Ukraine. It involved the application of SWOT and Gap-analysis methodology, materials of NOAA satellite observa- tions, Sentinel, different spatial resolution, methodological and regulatory provision of the Institute of Agroecology and Environmental Economics of the National Academy of Agrarian Sciences regarding satellite monitoring of the structure of agrolandscapes, norms of establishing a network of testing agrarian grounds, list of vegetation state indicators, in par- ticular, “Remote sensing of the Earth from space. Land data about controlling the condition of plantings and performance of agricultural crops. General requirements: DSTU 7307:2013”, “Remote sensing of the Earth from space. Ground in- spection of plantings. Classifi er of objects and functions: SUC 01.1-37-907:2011”, “Methodological recommendations on establishing the network of testing agrarian grounds in the system of monitoring of plantings using the materials of cosmic information”. The investigation on the impact of climate changes on vegetation state was conducted on the territory of three natural-climatic zones which were geographically represented by Chernihiv, Poltava and Zaporizhzhia regions re- spectively. The determination of the threat of erosion degradation of arable lands and landscape diversity was performed on the territory of two administrative districts with high level of ploughness of agrolandscapes, intense agrarian produc- tion and manifestation of erosion degradation of lands. Results. Inadequacy of the traditional system of agroecological monitoring was determined. It was proven that it was reasonable to have comprehensive application of satellite data regarding climate warming within the natural climatic zones and its impact on vegetation according to the normalized dif- ference vegetation index (NDVI), erosion degradation of soils and landscape diversity. According to satellite data of the National Oceanic and Atmospheric Administration (NOAA), the correlation analysis was performed on the connection between the dynamics of the sum of effective temperatures and the sum of NDVI values for the vegetation period. There was positive impact of climate warming on vegetation state according to NDVI index in the zone of Polissia and Forest- Steppe. The correlation coeffi cients were R = 0.64 and R = 0.77 respectively. In the Steppe zone the correlation coeffi cient dropped down to R = 0.35 which demonstrated the elevated risk of droughts. Conclusions. Satellite data of Sentinel-1 were used to determine critical zones of erosion degradation of arable lands, requiring preservation and their inclusion to the natural fi elds, which had a positive impact on the optimization of agrolandscape diversity.

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Landscape Diversity Indexes Application for Agricultural Land Use Optimization

Cited by 17 publications

References 9 publications

Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China

Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China

The Relationship Between Landscape Diversity and Crops Productivity: Landscape Scale Study

Satellite agroecological monitoring within the system of sustainable environmental management

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