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RISS 인기검색어
- 검색키워드
- 저자 : Reddy C. Sudhakar (검색결과 5 건)
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Monitoring trends in global vegetation fire hot spots using MODIS data
C. Sudhakar Reddy,N. Sarika 대한공간정보학회 2022 Spatial Information Research Vol.30 No.5
We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products. Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zones were delineated by combining annual fire data with spatial statistics and space– time pattern mining. Spatial analysis shows no statistically significant trends of increase or decrease of vegetation fires from 2011 to 2020. Within the global vegetation fire hot spots, intensifying hot spots (38.1%) dominate followed by consecutive hot spots (30.5%), persistent hot spots (14.2%), sporadic hot spots (6.2%), oscillating hot spots (4.6%) and new hot spots (3.5%). The results shows that Africa has the highest fire hot spot area in the world which was dominated by a tropical savanna and hot semi-arid (steppe) climates. Future efforts should be focused towards the standardization of the techniques to enable identification of near real time vulnerable zones, predict fire risk areas, and evaluation of the management effectiveness for climate change mitigation and conservation policies.
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Reddy C. Sudhakar,Satish K. V.,Saranya K. R.L.,Sri Surya N. Nitish,Neha P. A.,Rajashekar G. 대한공간정보학회 2024 Spatial Information Research Vol.32 No.3
There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change over space and time. This review explores the significance, challenges, future directions, and the potential contribution of Earth Observations based Essential Biodiversity Variables (EBVs) to enhance our understanding of biodiversity. Integrating EBVs with Remote Sensing of Earth Observations (RS-EO) is found to be an effective approach to quantify and monitor changes in biodiversity over space and time. Species serves as the fundamental taxonomic units of biodiversity and are the focal points of conservation policies. Prioritizing the utilization of species-level metrics and their seamless integration into the EBV framework is crucial. The current study has contributed 11 potential EBVs to the existing knowledge base. Integrating multiple data sources and methodologies is essential for overcoming the constraints and obtaining a more comprehensive understanding of biodiversity patterns. This synergy offers a holistic approach for monitoring, assessing, and managing biodiversity, to contribute significantly to global conservation efforts and sustainable development goals.
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Sabu Minu Merin,Pasha S. Vazeed,Reddy C. Sudhakar,Singh Randeep,Jaishanker R. 대한공간정보학회 2022 Spatial Information Research Vol.30 No.2
The alarming loss of tiger (Panthera tigris) populations due to degrading habitat called for an international commitment to double the wild tiger population by 2022 (‘‘Tx2’’ goal). In the present study, eighteen Priority Tiger Conservation Landscapes (PTCLs) distributed in India, Bangladesh, Bhutan, Nepal and Myanmar were identified to investigate the trends in deforestation and fragmentation in core forest area. We used multi-decadal remote sensingbased maps to assess the rate of deforestation from 1975 to 2016. The time-series analysis revealed that there is a low to moderate level of deforestation reported in PTCLs from1975 to 2016. The Northern Forest Complex-Namdapha-Royal Manas and Tenasserims are the geographically larger landscapes of the eighteen PTCLs that show the relatively high annual rate of deforestation from 2005 to 2016 due to the practice of shifting cultivation. The Mann Kendall trend test has indicated a statistically significant decreasing trend in deforestation across the 18 PTCLs. Overall, a low level of forest fragmentation was found in core forest habitat in the landscapes from 1995 to 2016. The results indicate management has been effective in minimizing habitat loss. The study outcomes would lead to a holistic understanding at the landscape level for long-term conservation planning in PTCLs.
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Sabu Minu Merin,Pasha S. Vazeed,Reddy C. Sudhakar,Singh Randeep,Jaishanker R. 대한공간정보학회 2022 Spatial Information Research Vol.30 No.1
The alarming loss of tiger (Panthera tigris) populations due to degrading habitat called for an international commitment to double the wild tiger population by 2022 (‘‘Tx2’’ goal). In the present study, eighteen Priority Tiger Conservation Landscapes (PTCLs) distributed in India, Bangladesh, Bhutan, Nepal and Myanmar were identified to investigate the trends in deforestation and fragmentation in core forest area. We used multi-decadal remote sensingbased maps to assess the rate of deforestation from 1975 to 2016. The time-series analysis revealed that there is a low to moderate level of deforestation reported in PTCLs from1975 to 2016. The Northern Forest Complex-Namdapha-Royal Manas and Tenasserims are the geographically larger landscapes of the eighteen PTCLs that show the relatively high annual rate of deforestation from 2005 to 2016 due to the practice of shifting cultivation. The Mann Kendall trend test has indicated a statistically significant decreasing trend in deforestation across the 18 PTCLs. Overall, a low level of forest fragmentation was found in core forest habitat in the landscapes from 1995 to 2016. The results indicate management has been effective in minimizing habitat loss. The study outcomes would lead to a holistic understanding at the landscape level for long-term conservation planning in PTCLs.
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Kritika Malik,K. R. L. Saranya,C. Sudhakar Reddy,A. O. Varghese 대한공간정보학회 2022 Spatial Information Research Vol.30 No.6
Species distribution models provide habitat mapping tools and produce scalable information to inform policy decisions. Integrating spatial statistical modelling with bioclimatic information identifies the contribution of the most critical variable in species occurrence and distribution. In the present study a suitable bioclimatic model, MaxEnt modelling algorithm is used for Dipterocarpus indicus, an endemic and endangered species by incorporating field inventory data.This model predicted a high probability of potential distribution area in the forests of Uttara Kannada, Chikmagalur, Shivamogga and Kannur. The highly suitable hábitats are distributed in protected áreas, namely Kudremukh, Mookambika, Pushpagiri, Sharavathi Valley, Shettihalli, Someshwara, Parambikulam, Peechi-Vazhani, Shendurney, Thattekadu Bird, Indira Gandhi (Anamalai), Kalakad, Mundanthurai and Kanyakumari. The Area Under Curve value for the potential distribution of species is observed at 0.894 for training data. The highest fractional predicted area was in the low elevation tropical wet evergreen forest region between 50 and 700 m. The contributions of the climatic variables in the model showed that precipitation in the coldest quarter was the most influential, followed by annual mean temperature and annual precipitation. This study aids in long-term conservation planning, monitoring, and managing potential habitats of endemic and endangered tree species.
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