Practical approaches for assessing local land use change and conservation priorities in the tropic

Tropical areas typically support high biological diversity; however, many are experiencing rapid land-use change. The resulting loss, fragmentation, and degradation of habitats place biodiversity at risk. For these reasons, the tropics are frequently identified as global conservation hotspots. Safeguarding tropical biodiversity necessitates successful and efficient conservation planning and implementation at local scales, where land use decisions are made and enforced. Yet, despite considerable agreement on the need for improved practices, planning may be difficult due to limited resources, such as funding, data, and expertise, especially for small conservation organizations in tropical developing countries. My thesis aims to assist small, non-governmental organizations (NGOs), operating in tropical developing countries, in overcoming resource limitations by providing recommendations for improved conservation planning. Following a brief introduction in Chapter 1, I present a literature review of systematic conservation planning (SCP) projects in the developing tropics. Although SCP is considered an efficient, effective approach, it requires substantial data and expertise to conduct the analysis and may present challenges for implementation. I reviewed and synthesized the methods and results of 14 case studies to identify practical ways to implement and overcome limitations for employing SCP. I found that SCP studies in the peer-reviewed literature were primarily implemented by researchers in large organizations or institutions, as opposed to on-the-ground conservation planners. A variety of data types were used in the SCP analyses, many of which data are freely available. Few case studies involved stakeholders and intended to implement the assessment; instead, the case studies were carried out in the context of research and development, limiting local involvement and implementation. Nonetheless, the studies provided valuable strategies for employing each step of the SCP assessment and ways to overcome limitations. These included obtaining and using publicly available data resources, collaborating with institutions or organizations with resources, and using expertise to employ the analytical process. In conclusion, the local conservation organization should ultimately decide whether or not to use the SCP approach using reviews such as this one and the feasibility assessment model provided in this chapter. In Chapter 3, to support locally based conservation planning efforts in southwestern Nicaragua, I collaborated with a small NGO and produced valuable data products for conservation planning. I produced a land-use and land cover change (LULC) classification and identified hot and cold spots (i.e., high and low concentration) of land cover change between the years of 2000 - 2009. I used SPOT satellite imagery from 2009, ground referenced data, and manual training points to classify 10 LULC types using a regression tree algorithm. I employed a post-classification change detection analysis to compare my classification to one from the year of 2000, applied a cluster analysis to delineate hot and cold spots of change, and used the resulting data products to identify preliminary conservation and restoration priorities. The LULC classification accuracy was 87.9% and deforestation rates were approximately 5.6% per year. I observed that pasture was the most converted-to class, plantation was a proliferating class, and some regrowth succeeded into secondary forest. Hotspots and cold spots of change for conservation concern included areas converted from forest into pasture, which often occurred in areas of rugged terrain. Hotspots from forest to plantation occurred in the northern isthmus, while cold spots occurred in the south. These two trends revealed the vulnerability of remaining secondary forests, which are of primary importance to regional conservation efforts. Conservation priorities included remaining old secondary forest patches and succeeding forests occurring near them and should factor into future conservation planning.