scholarly journals Towards a better understanding of protected-area management costs

Author(s):  
Ian D Craigie ◽  
Robert L Pressey

Data on protected area (PA) management costs are essential for effective conservation planning and management. To be most useful, these data should be at high resolution, in terms of individual management units within PA systems and individual management actions. Ideally, data would also capture temporal changes in management costs in relation to disturbance events, and variations in biophysical and social context. Yet there remains no generally accepted method to collect these important high-resolution data. Here we present a new method for the collection of data on current management spending and the costs of managing PAs to explicit, and usually higher, standards than presently achieved. The method allows the gathering of data at higher spatial, temporal, and thematic resolution than has been achieved before. We highlight the strengths and potential pitfalls of this type of data collection and offer insights into how these data can be used for the benefit of PA managers, conservation planners, and policy-makers. The methods presented here could be adapted to be used by other PA management agencies and jurisdictions to better understand the costs of managing PAs effectively.

2018 ◽  
Author(s):  
Ian D Craigie ◽  
Robert L Pressey

Data on protected area (PA) management costs are essential for effective conservation planning and management. To be most useful, these data should be at high resolution, in terms of individual management units within PA systems and individual management actions. Ideally, data would also capture temporal changes in management costs in relation to disturbance events, and variations in biophysical and social context. Yet there remains no generally accepted method to collect these important high-resolution data. Here we present a new method for the collection of data on current management spending and the costs of managing PAs to explicit, and usually higher, standards than presently achieved. The method allows the gathering of data at higher spatial, temporal, and thematic resolution than has been achieved before. We highlight the strengths and potential pitfalls of this type of data collection and offer insights into how these data can be used for the benefit of PA managers, conservation planners, and policy-makers. The methods presented here could be adapted to be used by other PA management agencies and jurisdictions to better understand the costs of managing PAs effectively.


2021 ◽  
Vol 43 (1) ◽  
pp. 19-24
Author(s):  
Anil Kumar Bhardwaj ◽  
◽  
Aditi Bhardwaj ◽  

In India, the development process from Protected Area management to landscape level conservation planning has traversed through several species conservation initiatives and pilot projects. However, the latter approach faces enormous challenges. In this paper we review the existing management practices in the country that deal with landscape approach to conservation, identify bottlenecks and suggest way forward, particularly relevant to forestry and wildlife sectors. Highlighting the major areas of research and action, this paper advocates the urgent need to build on the experiences from the sites, which have developed some foundation for such initiatives through earlier projects.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 464
Author(s):  
Wei Ma ◽  
Sean Qian

Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the sensing capabilities of AVs have been dramatically improved. Various sensors installed on AVs will be collecting massive data and perceiving the surrounding traffic continuously. In fact, a fleet of AVs can serve as floating (or probe) sensors, which can be utilized to infer traffic information while cruising around the roadway networks. Unlike conventional traffic sensing methods relying on fixed location sensors or moving sensors that acquire only the information of their carrying vehicle, this paper leverages data from AVs carrying sensors for not only the information of the AVs, but also the characteristics of the surrounding traffic. A high-resolution data-driven traffic sensing framework is proposed, which estimates the fundamental traffic state characteristics, namely, flow, density and speed in high spatio-temporal resolutions and of each lane on a general road, and it is developed under different levels of AV perception capabilities and for any AV market penetration rate. Experimental results show that the proposed method achieves high accuracy even with a low AV market penetration rate. This study would help policymakers and private sectors (e.g., Waymo) to understand the values of massive data collected by AVs in traffic operation and management.


2009 ◽  
Vol 474 (1-2) ◽  
pp. 271-284 ◽  
Author(s):  
L. Tosi ◽  
P. Teatini ◽  
L. Carbognin ◽  
G. Brancolini

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