Vulnerability of Forests in India: A National Scale Assessment

Sharma, Jagmohan; Upgupta, Sujata; Jayaraman, Mathangi; Chaturvedi, Rajiv Kumar; Bala, Govindasamy; Ravindranath, N. H.

doi:10.1007/s00267-017-0894-4

Cited by 45 publications

(17 citation statements)

References 30 publications

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“…(2) mitigation and adaptation to eliminate the sources of threats [23]; (3) potential actions that can minimize threats in other places (for example, moving housing development to nearby areas); (4) developing the understanding of conservation actions to improve the anticipation of the positive and negative consequences of each action, to make conservation planning more effective [46]; (5) the development of a community-based participatory management approach based on local knowledge and wisdom [13].…”

Section: Discussionmentioning

confidence: 99%

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A Vulnerability Analysis of Coral Reefs in Coastal Ecotourism Areas for Conservation Management

Riniwati¹,

Harahab²,

Abidin³

2019

Diversity

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Coral reef ecosystems provide many ecological, economic, and social benefits. Despite their numerous functions, coral reefs are in a vulnerable state due to the effects of human activities. The condition of coral reefs has decreased in many parts of the world. Therefore, coral reef examinations need to be carried out continuously in order to formulate management strategies that can reduce their vulnerability over time. This study aims to analyze the vulnerability index of coral reefs, the sensitivity of coral reefs to the causes of vulnerability, and the adaptive capacity to anticipate vulnerability. The primary data are the perceptions of respondents’ who filled out a prepared questionnaire which included eight dimensions: information on the environmental conditions, fishing ports, fishing areas, coastline settlements, tourism management, tourism attractions, socio-economic conditions and population, and aquaculture. The data were analyzed using multidimensional scaling (MDS). The results of the analysis revealed that fishing ports, fishing areas, and environmental condition are high vulnerability indexes which cause damage to coral reefs. The highest coral reef vulnerability sensitivity was found to be triggered by the distance from fishing areas and the distance from fishing vessel channels. An inverse relationship between vulnerability and adaptive capacity was shown. Hence distance from fishing areas and distance from fishing vessel channels are the attributes that have low adaptive capacity.

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Section: Discussionmentioning

confidence: 99%

“…• The purpose of vulnerability assessment is to identify stressful points [23] Employing the results of vulnerability analysis as a consideration in decision making gives several advantages, for example, it is relatively inexpensive and easy. Besides, the results can be regularly updated.…”

Section: Reference Numbersmentioning

confidence: 99%

A Vulnerability Analysis of Coral Reefs in Coastal Ecotourism Areas for Conservation Management

Riniwati¹,

Harahab²,

Abidin³

2019

Diversity

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“…These datasets are obtained on the basis of mean ensemble of various Coupled Model Intercomparison Project (CMIP5) models (Amman et al 2003;Amman et al 2007;Sato et al 1993;Stenchiko et al 1998) at spatial resolution of 2.5 arc minutes (~4.5 km). The RCP 8.5 is used to estimate a little migration by observing a pessimistic scenario, in which atmospheric CO2 levels of 2100 are 2.5 times higher than current levels (Riahi et al 2011;Sharma et al 2017).…”

Section: Future Climatic Datamentioning

confidence: 99%

Maximum Entropy Modeling Using Citizen Science: Use Case on Jacobin Cuckoo as an Indicator of Indian Monsoon

Singh

Saran

2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Due to a growing revolution of the citizen science era with the involvement of non-professionals in scientific tasks such as species observation, yields an opportunistic data for modeling and planning purposes. Such citizen science based scientific observations can be a sustainable option to answer many research questions. Here, citizen science data of the Clamator jacobinus bird is taken from Global Biodiversity Information facility to predict its habitat suitability through maximum entropy approach. The distribution data is divided into two monthly sets – June to October and November to May for critically analysing the probable climatic reasons for its migration and understanding the influence of climatic variables in its suitability during the Indian monsoon season and Southern Africa rainy season. Also, the influential role of different bioclimatic variables in determining the bird’s suitability is described in this paper and to predict how this bird will react to different climate change scenarios in 2050 year. The maximum entropy modeling is performed on both sets of data and results are surprisingly interesting, which verifies an Indian myth that this bird is harbinger of the monsoon in India. This study concluded that the precipitation during warmest and wettest quarter, and isothermality are the major factors in determining the migration of Clamator jacobinus, but, hot, dry and cold climate is not suitable for this bird suitability. Such study using the citizen science data can be used in biodiversity planning as well as in improving the agricultural economy because monsoon is considered as an auspicious season for functioning of biodiversity and agricultural tasks.

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“…Therefore, compromised deliverables of forest ecosystems may lead for the challenges to the coexistence of forests and communities. Moreover, researchers argued that the forests are vulnerable to changing climate, occurrence of extreme climatic events and human-induced disturbances (Gerlitz et al 2017;Sharma et al 2017). The vulnerability of forest due to climate change is adjudged by changes in the phenological characteristics (Bertin 2008;Pau et al 2011), tree line shifts (UAPCC 2014), changes in distribution of forest type (Ravindranath and Sukumar 1996;Chaturvedi et al 2011;Gopalakrishnan et al 2011;Upgupta et al 2015;Devi et al 2018) and forest productivity (Pan et al 2015;Yongxiang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…trend of NPP) during the period of assessment for ecosystem under evaluation (Yongxiang et al 2015;Zhang et al 2017). Ecosystem adaptation signifies the self-regulation tool of the ecosystem, regarded as a measure of maintenance of the system in a relatively stable state (IPCC 2014;Sharma et al 2017). The deviation in steady state, a measure of adaptation is determined by the trend of the variability of an ecosystem during a fixed period (Coulson and Joyce 2006).…”

Section: Introductionmentioning

confidence: 99%

Assessing vulnerability of forest ecosystem in the Indian Western Himalayan region using trends of net primary productivity

et al. 2018

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The Himalayan ecosystem is one of the sensitive and fragile ecosystems with rich biodiversity that provides major ecosystem services. The study was conducted to measure the extent of vulnerability across forested grids of Uttarakhand-one of the States of Indian Western Himalayan (IWH) region. The forests of the state are exposed to various anthropogenic and natural climatic pressures, thus making them vulnerable. In this paper, we demonstrate how to map vulnerability of forest ecosystem by analyzing variability and trends of net primary productivity (NPP). The vulnerability of the forest ecosystem was evaluated through trends of sensitivity and adaptability of NPP. The sensitivity of a system was considered as the response degree of the system to climatic variability whereas adaptability was considered as the ability to maintain, recover or improve its structure in the face of climatic stresses. In our study, NPP was considered as the receptor of shock and stresses of climatic variability and human disturbances. We discuss the method and results with reference to productivity changes under the influence of changing climate for the forested landscape of a mountainous region. The results have been summarized to rank vulnerability at the level of administrative boundary of governance, i.e. district. Average value of vulnerability for all NPP pixels of forests grids in a district was used to compute the vulnerability at district level. The study will help forest managers in decision making for efficiently allocating resources and to prioritize management options in the identified regions to improve productivity in coming times.

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Vulnerability of Forests in India: A National Scale Assessment

Cited by 45 publications

References 30 publications

A Vulnerability Analysis of Coral Reefs in Coastal Ecotourism Areas for Conservation Management

A Vulnerability Analysis of Coral Reefs in Coastal Ecotourism Areas for Conservation Management

Maximum Entropy Modeling Using Citizen Science: Use Case on Jacobin Cuckoo as an Indicator of Indian Monsoon

Assessing vulnerability of forest ecosystem in the Indian Western Himalayan region using trends of net primary productivity

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