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7篇 您的检索式：作者名="MAITHANI K"

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		题名	作者	年代	出处	被引量
	1	The impact of disturbance on detrital dynamics and soil microbial biomass of a Pinus kesiya forest in north-east India显示文摘	Arunachalam A Maithani K Pandey H N	1996	For Ecol Managem1996，88，：	1
	2	Estimation of urban population in Indo-Gangetic Plains usingnight-time OLS data 显示文摘	CHOWDHURY P K R MAITHANI S DADHWAL V K	2012	International Journal of RemoteSensing2012，33，8：	1
	3	The impact of disturbance on detrital dynamics and soil microbial biomass of a Pinus kesiya forest in north-east India显示文摘	Arunachalam A Maithani K Pandey H N	1996	Forest Ecology and Management1996，88，：	1
	4	Leaf litter decomposition and nutrient mineralization patterns in regro'-'ing stands of a humid subtropical forest after tree cutting显示文摘	Arunachalam A Maithani K Pandey H N	1998	For Ecol Man1998，109，：	1
	5	Nitrogen mineralization as influenced by climate,soil and vegetation in subtropical humid forest in northeast Ihdia显示文摘	Maithani K Arunachalam A Tripathi R S	1998	Forest Ecology & Management1998，109，13：	1
	6	Nitrogen mineralization as influenced by climate,soil and vegetation in subtropical humid forest in northeast India显示文摘	MAITHANI K ARUNACHALAM A TRIPATHI R S	1998	Forest Ecology & Management1998，109，13：	1
	7	Empirical assessment of adaptation to climate change impacts of mountain households:development and application of an Adaptation Capability Index显示文摘The present study proposes an index to assess the potential for adaptation to climate change for households in the mountainous regions. The index provides a realistic approach to recognize social and natural factors which contribute to successful adaptation and addresses several household functions,such as social networking, livelihood strategy, adjustment strategies, resource availability and accessibility. The proposed Adaptation Capability Index(ACI) is analytically defined, mathematically formulated and field tested on mountainous households in urban and semi-urban regions of the Uttarakhand Himalaya in India. To gather data on the topic relevant to the ACI, a household scale questionnaire was developed and administered to 120 heads of households through face-to-face interviews. The results highlight higher adaptive capability of urban households and low adaptation capacity of rural households due to poor farm productivity, low accessibility and availability of resources and technological input. Future programs and policies must include and implement regulations to remedy attributive factors responsible for higher adaptation. This paper may be applicable to other mountainous regions and may provide insights for effective adaptation strategies to climate change.	Rajiv PANDEY Nandini MAITHANI Roberta ARETANO Giovanni ZURLINI Kelli M ARCHIE Ajay K GUPTA Vishnu Prasad PANDEY	2016	Journal of Mountain Science2016，13，8：	0

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